﻿<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/"><channel><title>Millisecond Forums » Millisecond Forums » Inquisit 5  » Stroop with limited time for response &amp; errormsg included</title><generator>InstantForum 2017-1 Final</generator><description>Millisecond Forums</description><link>https://forums.millisecond.com/</link><webMaster>Millisecond Forums</webMaster><lastBuildDate>Sat, 26 Sep 2026 10:47:19 GMT</lastBuildDate><ttl>20</ttl><item><title>RE: Stroop with limited time for response &amp; errormsg included</title><link>https://forums.millisecond.com/Topic34160.aspx</link><description>&lt;br/&gt;What's possible is what you started the thread with:&lt;br/&gt;&lt;br/&gt;[code]&amp;lt;trial redcongruent&amp;gt;&lt;br/&gt;/ontrialbegin = [&lt;br/&gt;    values.congruency = 1;&lt;br/&gt;]&lt;br/&gt;/ pretrialpause = 0&lt;br/&gt;/ stimulustimes = [1=redcongruent, redreminder, greenreminder, bluereminder, blackreminder]&lt;br/&gt;/ correctresponse = ("d")&lt;br/&gt;/ validresponse = ("d", "f", "j", "k")&lt;br/&gt;/ errormessage = true(x, 0)&lt;br/&gt;/ posttrialpause = 400&lt;br/&gt;/ trialduration = 2500&lt;br/&gt;/ontrialend = [&lt;br/&gt;    list.responses.insertitem(trial.redcongruent.correct, 1);&lt;br/&gt;    list.responses_congruent.insertitem(trial.redcongruent.correct, 1);&lt;br/&gt;&lt;br/&gt;    if (trial.redcongruent.correct) {&lt;br/&gt;        list.latencies.insertitem(trial.redcongruent.latency, 1);&lt;br/&gt;        list.latencies_congruent.insertitem(trial.redcongruent.latency, 1);&lt;br/&gt;    }&lt;br/&gt;]&lt;br/&gt;&amp;lt;/trial&amp;gt;[/code]&lt;br/&gt;</description><pubDate>Wed, 06 Apr 2022 13:57:38 GMT</pubDate><dc:creator>Dave</dc:creator></item><item><title>Stroop with limited time for response &amp; errormsg included</title><link>https://forums.millisecond.com/Topic34148.aspx</link><description>Hi,&lt;br/&gt;&lt;br/&gt;I am trying to run an experiment with Stroop which should last 45 minutes and have the same amount of trials for each participant. This would involve 1080 trials which last 2500 ms (including time for user's response)&lt;br/&gt;Ideally, I am looking for total single trial duration which lasts 2500ms and has parameters:&lt;br/&gt;*&amp;nbsp;1000 ms of stimulus display eg. &lt;font color="#424242"&gt;&lt;strong&gt;RED&lt;/strong&gt;&lt;/font&gt;&lt;br/&gt;* 1500 ms of blank screen&lt;br/&gt;Here, from the stimulus onset (1 frame), participant has 1700 ms (1000ms of stimulus display + 700ms taken from the blank screen time) to make a response&amp;nbsp;&lt;br/&gt;With a missed/lapsed response&amp;nbsp; after 1700 ms from the stimulus onset the "X" is displayed for 400 ms, and also when incorrect response (as already in-built)&lt;br/&gt;&lt;br/&gt;--&amp;gt; I tried /timeout = 1700 but I see error saying I cannot have timeout &amp;amp; trialduration at the same time.&lt;br/&gt;--&amp;gt;&amp;nbsp;With my previous modifications I have noticed, that /trialduration = 2500 would not include the timing of /error message, which lasts 400 ms, so it with errorr msg it exceeds initial 45 min.&lt;br/&gt;--&amp;gt;&amp;nbsp;I have also tried with adding a /correct message which would last 400 ms and be simply a blank screen (and steal these 400 ms from trialduration to still fit into 45 min), however then I do not get any error message once there is 'no key response' by user (which also is an incorrect answer). &lt;br/&gt;&lt;br/&gt;After all this, I have modified the code for all trials to look as the one below, [unfortunately without timeout 1700 ms], which shows /error message for both [incorrect AND no response]. For no responses (so when the script runs without any keyboard reaction) numbers add up to have 2500ms, however when a response is made, I subtract the recorded script.elapsedtime and the numbers are simply not adding up, so I do not reach 45 min, but more.&lt;br/&gt;&lt;br/&gt;&amp;lt;trial redcongruent&amp;gt; &lt;br/&gt;/ontrialbegin = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.congruency = 1;&lt;br/&gt;]&lt;br/&gt;/ pretrialpause = 0&lt;br/&gt;/ stimulustimes = [1=redcongruent, redreminder, greenreminder, bluereminder, blackreminder]&lt;br/&gt;/ correctresponse = ("d")&lt;br/&gt;/ validresponse = ("d", "f", "j", "k")&lt;br/&gt;&lt;strong&gt;/ errormessage = true(x, 0)&lt;/strong&gt;&lt;br/&gt;/ posttrialpause = 400&lt;br/&gt;&lt;strong&gt;/ trialduration = 2500&lt;/strong&gt;&lt;br/&gt;/ontrialend = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.responses.insertitem(trial.redcongruent.correct, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.responses_congruent.insertitem(trial.redcongruent.correct, 1);&lt;br/&gt;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.redcongruent.correct) {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.latencies.insertitem(trial.redcongruent.latency, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.latencies_congruent.insertitem(trial.redcongruent.latency, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;}&lt;br/&gt;]&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;img 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" alt=""&gt;&lt;br/&gt;Any help would be greatly appreciated.</description><pubDate>Wed, 06 Apr 2022 13:57:07 GMT</pubDate><dc:creator>MystaK</dc:creator></item><item><title>RE: Stroop with limited time for response &amp; errormsg included</title><link>https://forums.millisecond.com/Topic34159.aspx</link><description>&lt;blockquote data-id="34158" class="if-quote-wrapper" unselectable="on" data-guid="1649250155970" contenteditable="false" id="if_insertedNode_1649250155704"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34158" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34158" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34158" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 4/6/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34158"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="34157" class="if-quote-wrapper" unselectable="on" data-guid="1649250155970" id="if_insertedNode_1649248072587" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34157" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34157" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34157" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;MystaK - 4/6/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34157"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="34154" class="if-quote-wrapper" unselectable="on" data-guid="1649250155970" id="if_insertedNode_1649247419911" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34154" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34154" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34154" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 4/6/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34154"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="34152" class="if-quote-wrapper" unselectable="on" data-guid="1649250155970" id="if_insertedNode_1649246548079" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34152" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34152" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34152" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 4/6/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34152"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="34151" class="if-quote-wrapper" unselectable="on" data-guid="1649250155970" id="if_insertedNode_1649245876274" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34151" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34151" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34151" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;MystaK - 4/6/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34151"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="34149" class="if-quote-wrapper" unselectable="on" data-guid="1649250155970" id="if_insertedNode_1649232644741" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34149" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34149" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34149" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 4/5/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34149"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="34148" class="if-quote-wrapper" unselectable="on" data-guid="1649250155970" id="if_insertedNode_1649177660473" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34148" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34148" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34148" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;MystaK - 4/5/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34148"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;Hi,&lt;br/&gt;&lt;br/&gt;I am trying to run an experiment with Stroop which should last 45 minutes and have the same amount of trials for each participant. This would involve 1080 trials which last 2500 ms (including time for user's response)&lt;br/&gt;Ideally, I am looking for total single trial duration which lasts 2500ms and has parameters:&lt;br/&gt;*&amp;nbsp;1000 ms of stimulus display eg. &lt;font color="#424242"&gt;&lt;strong&gt;RED&lt;/strong&gt;&lt;/font&gt;&lt;br/&gt;* 1500 ms of blank screen&lt;br/&gt;Here, from the stimulus onset (1 frame), participant has 1700 ms (1000ms of stimulus display + 700ms taken from the blank screen time) to make a response&amp;nbsp;&lt;br/&gt;With a missed/lapsed response&amp;nbsp; after 1700 ms from the stimulus onset the "X" is displayed for 400 ms, and also when incorrect response (as already in-built)&lt;br/&gt;&lt;br/&gt;--&amp;gt; I tried /timeout = 1700 but I see error saying I cannot have timeout &amp;amp; trialduration at the same time.&lt;br/&gt;--&amp;gt;&amp;nbsp;With my previous modifications I have noticed, that /trialduration = 2500 would not include the timing of /error message, which lasts 400 ms, so it with errorr msg it exceeds initial 45 min.&lt;br/&gt;--&amp;gt;&amp;nbsp;I have also tried with adding a /correct message which would last 400 ms and be simply a blank screen (and steal these 400 ms from trialduration to still fit into 45 min), however then I do not get any error message once there is 'no key response' by user (which also is an incorrect answer). &lt;br/&gt;&lt;br/&gt;After all this, I have modified the code for all trials to look as the one below, [unfortunately without timeout 1700 ms], which shows /error message for both [incorrect AND no response]. For no responses (so when the script runs without any keyboard reaction) numbers add up to have 2500ms, however when a response is made, I subtract the recorded script.elapsedtime and the numbers are simply not adding up, so I do not reach 45 min, but more.&lt;br/&gt;&lt;br/&gt;&amp;lt;trial redcongruent&amp;gt; &lt;br/&gt;/ontrialbegin = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.congruency = 1;&lt;br/&gt;]&lt;br/&gt;/ pretrialpause = 0&lt;br/&gt;/ stimulustimes = [1=redcongruent, redreminder, greenreminder, bluereminder, blackreminder]&lt;br/&gt;/ correctresponse = ("d")&lt;br/&gt;/ validresponse = ("d", "f", "j", "k")&lt;br/&gt;&lt;strong&gt;/ errormessage = true(x, 0)&lt;/strong&gt;&lt;br/&gt;/ posttrialpause = 400&lt;br/&gt;&lt;strong&gt;/ trialduration = 2500&lt;/strong&gt;&lt;br/&gt;/ontrialend = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.responses.insertitem(trial.redcongruent.correct, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.responses_congruent.insertitem(trial.redcongruent.correct, 1);&lt;br/&gt;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.redcongruent.correct) {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.latencies.insertitem(trial.redcongruent.latency, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.latencies_congruent.insertitem(trial.redcongruent.latency, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;}&lt;br/&gt;]&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;img 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" alt=""&gt;&lt;br/&gt;Any help would be greatly appreciated.&lt;a class="if-quote-goto quote-link" href="#" data-id="34148"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;I'm not sure what your questions are and what the calculations in the spreadsheet screenshot you posted are supposed to convey. Please clarify.&lt;a class="if-quote-goto quote-link" href="#" data-id="34149"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Hi Dave,&lt;br/&gt;thank you for the prompt reply.&lt;br/&gt;As described earlier, I am trying to change the code of the Stroop [English version] for it to last 45 min, so each participant gets the same amount of the stimuli. Here it would be 1080 stimuli which last 2500 ms (exposion of the stimuli + response + errormessage + eventual post or peritrialpause), with additional requierement for a timeout (a response since the stimuli exposition) = 1700 ms within those 2500ms. However, all ma attempts are unsuccessful so far.&lt;br/&gt;The picture shows that even if the trial duration is set to last 2500 ms, not all trials last those 2500 ms (colours on the picture show elapsed time + 2500ms, which should add up as response has to be made within the trialduration, and the rest should be filled in until the end of the 2500ms, however it doesn't) so I cannot achieve 45 min with 1080 stimuli, but more or less, which is not my aim.&amp;nbsp;&lt;br/&gt;&lt;br/&gt;My question is, if there is a way to code these requirements in Inquisit.&lt;a class="if-quote-goto quote-link" href="#" data-id="34151"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;&amp;gt; The picture shows that even if the trial duration is set to last 2500 ms, not all trials last those 2500 ms (colours on the picture show elapsed time + 2500ms, which should add up as response has to be made within the trialduration, and the rest should be filled in until the end of the 2500ms, however it doesn't)&lt;br/&gt;&lt;br/&gt;Where do you think your spreadsheet / calculations show that? Explain your math, please. Because I think you're working off mistaken assumptions here.&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="34152"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Adding a few general remarks: First, to understand the various components of trial timing, &lt;a href="https://www.millisecond.com/support/docs/v5/html/howto/howtocontroltiming.htm"&gt;&lt;a href="https://www.millisecond.com/support/docs/v5/html/howto/howtocontroltiming.htm"&gt;https://www.millisecond.com/support/docs/v5/html/howto/howtocontroltiming.htm&lt;/a&gt;&lt;/a&gt; is essential.&lt;br/&gt;If you really want to nail timing, pre- and posttrialpause are important. Lastly, to double-check timing, the most exact method is calculating the difference between the timestamps &lt;a href="https://www.millisecond.com/support/docs/v5/html/language/properties/timestamp.htm"&gt;&lt;a href="https://www.millisecond.com/support/docs/v5/html/language/properties/timestamp.htm"&gt;https://www.millisecond.com/support/docs/v5/html/language/properties/timestamp.htm&lt;/a&gt;&lt;/a&gt; of trial N and trial N-1, i.e. the previous trial. Simple example code:&lt;br/&gt;&lt;br/&gt;[code]&amp;lt;values&amp;gt;&lt;br/&gt;/ ts = 0&lt;br/&gt;/ ts_prev = 0&lt;br/&gt;/ ts_current = 0&lt;br/&gt;/ calculated_duration_of_previous_trial = 0;&lt;br/&gt;&amp;lt;/values&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;block myblock&amp;gt;&lt;br/&gt;/ trials = [1-10 = trial.mytrial; 11 = trial.end]&lt;br/&gt;&amp;lt;/block&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial mytrial&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.ts = trial.mytrial.timestamp;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.ts_prev = values.ts_current;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.ts_current = values.ts;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (values.ts_prev != 0) {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.calculated_duration_of_previous_trial = values.ts_current - values.ts_prev;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;};&lt;br/&gt;]&lt;br/&gt;/ pretrialpause = 500&lt;br/&gt;/ stimulustimes = [0=mytext; 500=clearscreen]&lt;br/&gt;/ beginresponsetime = -1&lt;br/&gt;/ responseinterrupt = frames&lt;br/&gt;/ posttrialpause = 1000&lt;br/&gt;/ trialduration = 2500&lt;br/&gt;/ validresponse = (57, 0)&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;text mytext&amp;gt;&lt;br/&gt;/ items = ("Press SPACE")&lt;br/&gt;/ erase = false&lt;br/&gt;&amp;lt;/text&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial end&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.ts = trial.end.timestamp;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.ts_prev = values.ts_current;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.ts_current = values.ts;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (values.ts_prev != 0) {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.calculated_duration_of_previous_trial = values.ts_current - values.ts_prev;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;};&lt;br/&gt;]&lt;br/&gt;/ pretrialpause = 500&lt;br/&gt;/ trialduration = 1000&lt;br/&gt;/ validresponse = (0)&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;data&amp;gt;&lt;br/&gt;/ columns = (date time subject group trialnum trialcode response latency &lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;trialduration values.ts values.calculated_duration_of_previous_trial)&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;/ separatefiles = true&lt;br/&gt;&amp;lt;/data&amp;gt;&lt;br/&gt;[/code]&lt;br/&gt;&lt;br/&gt;Example data:&lt;br/&gt;&lt;br/&gt;&lt;img src="data:image/png;base64,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&lt;a class=" if-quote-goto="" quote-link"="" href="#" data-id="34157"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;/div&gt;&lt;/div&gt;                &lt;/blockquote&gt;&lt;br/&gt;If there is a question or something else here, I am not seeing it. Repost whatever it is clearly, please&lt;a class="if-quote-goto quote-link" href="#" data-id="34158"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;Apologies if I am not clear.&lt;br/&gt;post &amp;amp; pretrial pause takes up time from the trialduration and &lt;br/&gt;&lt;br/&gt;So far, I tried, without success, to code Stroop to achieve 1080 trials lasting 2500ms and giving me 45 min of total experiment. Is there a way to code Stroop to achieve a design like in the picture below?&lt;br/&gt;&lt;img 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" alt=""&gt;&lt;br/&gt;If not, then is there a way to code Stroop with (not sure if these amendments would make this possible): &lt;br/&gt;*stimuli presented for 1700 ms (not to disappear after 1000ms), &lt;br/&gt;AND error message [(400ms) after &lt;strong&gt;incorrect response&lt;/strong&gt; within 1700 ms or &lt;strong&gt;no response&lt;/strong&gt; until 1700 ms of the trial], AND no message once the answer is &lt;strong&gt;correct&lt;/strong&gt; within the 1700ms&lt;br/&gt;AND blank screen until the end of trial &lt;br/&gt;AND above to fit in within the total trial time (2500ms)?&amp;nbsp;&lt;br/&gt;&lt;br/&gt;OR&lt;br/&gt;&lt;br/&gt;*stimuli presented for 1700 ms (not to disappear after 1000ms), &lt;br/&gt;AND error message [until the end of trial after &lt;strong&gt;incorrect response&lt;/strong&gt; within 1700 ms or &lt;strong&gt;no response&lt;/strong&gt; until 1700 ms of the trial], AND no message once the answer is &lt;strong&gt;correct&lt;/strong&gt; within the 1700 ms&lt;br/&gt;AND blank screen until the end of trial &lt;br/&gt;AND above to fit in within the total trial time (2500ms)? &lt;br/&gt;&lt;br/&gt;OR&lt;br/&gt;&lt;br/&gt;*any other?&lt;br/&gt;&lt;br/&gt;I hope this makes it clearer.</description><pubDate>Wed, 06 Apr 2022 13:25:51 GMT</pubDate><dc:creator>MystaK</dc:creator></item><item><title>RE: Stroop with limited time for response &amp; errormsg included</title><link>https://forums.millisecond.com/Topic34158.aspx</link><description>&lt;blockquote data-id="34157" class="if-quote-wrapper" unselectable="on" data-guid="1649248073816" id="if_insertedNode_1649248072587" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34157" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34157" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34157" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;MystaK - 4/6/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34157"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="34154" class="if-quote-wrapper" unselectable="on" data-guid="1649248073816" id="if_insertedNode_1649247419911" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34154" title="Move Cursor Below" contenteditable="false"&gt;&lt;span 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contenteditable="true"&gt;&lt;blockquote data-id="34151" class="if-quote-wrapper" unselectable="on" data-guid="1649248073816" id="if_insertedNode_1649245876274" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34151" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34151" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34151" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;MystaK - 4/6/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34151"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="34149" class="if-quote-wrapper" unselectable="on" data-guid="1649248073816" id="if_insertedNode_1649232644741" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34149" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34149" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34149" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 4/5/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34149"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="34148" class="if-quote-wrapper" unselectable="on" data-guid="1649248073816" id="if_insertedNode_1649177660473" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34148" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34148" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34148" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;MystaK - 4/5/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34148"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;Hi,&lt;br/&gt;&lt;br/&gt;I am trying to run an experiment with Stroop which should last 45 minutes and have the same amount of trials for each participant. This would involve 1080 trials which last 2500 ms (including time for user's response)&lt;br/&gt;Ideally, I am looking for total single trial duration which lasts 2500ms and has parameters:&lt;br/&gt;*&amp;nbsp;1000 ms of stimulus display eg. &lt;font color="#424242"&gt;&lt;strong&gt;RED&lt;/strong&gt;&lt;/font&gt;&lt;br/&gt;* 1500 ms of blank screen&lt;br/&gt;Here, from the stimulus onset (1 frame), participant has 1700 ms (1000ms of stimulus display + 700ms taken from the blank screen time) to make a response&amp;nbsp;&lt;br/&gt;With a missed/lapsed response&amp;nbsp; after 1700 ms from the stimulus onset the "X" is displayed for 400 ms, and also when incorrect response (as already in-built)&lt;br/&gt;&lt;br/&gt;--&amp;gt; I tried /timeout = 1700 but I see error saying I cannot have timeout &amp;amp; trialduration at the same time.&lt;br/&gt;--&amp;gt;&amp;nbsp;With my previous modifications I have noticed, that /trialduration = 2500 would not include the timing of /error message, which lasts 400 ms, so it with errorr msg it exceeds initial 45 min.&lt;br/&gt;--&amp;gt;&amp;nbsp;I have also tried with adding a /correct message which would last 400 ms and be simply a blank screen (and steal these 400 ms from trialduration to still fit into 45 min), however then I do not get any error message once there is 'no key response' by user (which also is an incorrect answer). &lt;br/&gt;&lt;br/&gt;After all this, I have modified the code for all trials to look as the one below, [unfortunately without timeout 1700 ms], which shows /error message for both [incorrect AND no response]. For no responses (so when the script runs without any keyboard reaction) numbers add up to have 2500ms, however when a response is made, I subtract the recorded script.elapsedtime and the numbers are simply not adding up, so I do not reach 45 min, but more.&lt;br/&gt;&lt;br/&gt;&amp;lt;trial redcongruent&amp;gt; &lt;br/&gt;/ontrialbegin = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.congruency = 1;&lt;br/&gt;]&lt;br/&gt;/ pretrialpause = 0&lt;br/&gt;/ stimulustimes = [1=redcongruent, redreminder, greenreminder, bluereminder, blackreminder]&lt;br/&gt;/ correctresponse = ("d")&lt;br/&gt;/ validresponse = ("d", "f", "j", "k")&lt;br/&gt;&lt;strong&gt;/ errormessage = true(x, 0)&lt;/strong&gt;&lt;br/&gt;/ posttrialpause = 400&lt;br/&gt;&lt;strong&gt;/ trialduration = 2500&lt;/strong&gt;&lt;br/&gt;/ontrialend = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.responses.insertitem(trial.redcongruent.correct, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.responses_congruent.insertitem(trial.redcongruent.correct, 1);&lt;br/&gt;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.redcongruent.correct) {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.latencies.insertitem(trial.redcongruent.latency, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.latencies_congruent.insertitem(trial.redcongruent.latency, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;}&lt;br/&gt;]&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;img 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" alt=""&gt;&lt;br/&gt;Any help would be greatly appreciated.&lt;a class="if-quote-goto quote-link" href="#" data-id="34148"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;I'm not sure what your questions are and what the calculations in the spreadsheet screenshot you posted are supposed to convey. Please clarify.&lt;a class="if-quote-goto quote-link" href="#" data-id="34149"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Hi Dave,&lt;br/&gt;thank you for the prompt reply.&lt;br/&gt;As described earlier, I am trying to change the code of the Stroop [English version] for it to last 45 min, so each participant gets the same amount of the stimuli. Here it would be 1080 stimuli which last 2500 ms (exposion of the stimuli + response + errormessage + eventual post or peritrialpause), with additional requierement for a timeout (a response since the stimuli exposition) = 1700 ms within those 2500ms. However, all ma attempts are unsuccessful so far.&lt;br/&gt;The picture shows that even if the trial duration is set to last 2500 ms, not all trials last those 2500 ms (colours on the picture show elapsed time + 2500ms, which should add up as response has to be made within the trialduration, and the rest should be filled in until the end of the 2500ms, however it doesn't) so I cannot achieve 45 min with 1080 stimuli, but more or less, which is not my aim.&amp;nbsp;&lt;br/&gt;&lt;br/&gt;My question is, if there is a way to code these requirements in Inquisit.&lt;a class="if-quote-goto quote-link" href="#" data-id="34151"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;&amp;gt; The picture shows that even if the trial duration is set to last 2500 ms, not all trials last those 2500 ms (colours on the picture show elapsed time + 2500ms, which should add up as response has to be made within the trialduration, and the rest should be filled in until the end of the 2500ms, however it doesn't)&lt;br/&gt;&lt;br/&gt;Where do you think your spreadsheet / calculations show that? Explain your math, please. Because I think you're working off mistaken assumptions here.&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="34152"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Adding a few general remarks: First, to understand the various components of trial timing, &lt;a href="https://www.millisecond.com/support/docs/v5/html/howto/howtocontroltiming.htm"&gt;&lt;a href="https://www.millisecond.com/support/docs/v5/html/howto/howtocontroltiming.htm"&gt;https://www.millisecond.com/support/docs/v5/html/howto/howtocontroltiming.htm&lt;/a&gt;&lt;/a&gt; is essential.&lt;br/&gt;If you really want to nail timing, pre- and posttrialpause are important. Lastly, to double-check timing, the most exact method is calculating the difference between the timestamps &lt;a href="https://www.millisecond.com/support/docs/v5/html/language/properties/timestamp.htm"&gt;&lt;a href="https://www.millisecond.com/support/docs/v5/html/language/properties/timestamp.htm"&gt;https://www.millisecond.com/support/docs/v5/html/language/properties/timestamp.htm&lt;/a&gt;&lt;/a&gt; of trial N and trial N-1, i.e. the previous trial. Simple example code:&lt;br/&gt;&lt;br/&gt;[code]&amp;lt;values&amp;gt;&lt;br/&gt;/ ts = 0&lt;br/&gt;/ ts_prev = 0&lt;br/&gt;/ ts_current = 0&lt;br/&gt;/ calculated_duration_of_previous_trial = 0;&lt;br/&gt;&amp;lt;/values&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;block myblock&amp;gt;&lt;br/&gt;/ trials = [1-10 = trial.mytrial; 11 = trial.end]&lt;br/&gt;&amp;lt;/block&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial mytrial&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.ts = trial.mytrial.timestamp;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.ts_prev = values.ts_current;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.ts_current = values.ts;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (values.ts_prev != 0) {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.calculated_duration_of_previous_trial = values.ts_current - values.ts_prev;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;};&lt;br/&gt;]&lt;br/&gt;/ pretrialpause = 500&lt;br/&gt;/ stimulustimes = [0=mytext; 500=clearscreen]&lt;br/&gt;/ beginresponsetime = -1&lt;br/&gt;/ responseinterrupt = frames&lt;br/&gt;/ posttrialpause = 1000&lt;br/&gt;/ trialduration = 2500&lt;br/&gt;/ validresponse = (57, 0)&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;text mytext&amp;gt;&lt;br/&gt;/ items = ("Press SPACE")&lt;br/&gt;/ erase = false&lt;br/&gt;&amp;lt;/text&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial end&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.ts = trial.end.timestamp;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.ts_prev = values.ts_current;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.ts_current = values.ts;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (values.ts_prev != 0) {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.calculated_duration_of_previous_trial = values.ts_current - values.ts_prev;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;};&lt;br/&gt;]&lt;br/&gt;/ pretrialpause = 500&lt;br/&gt;/ trialduration = 1000&lt;br/&gt;/ validresponse = (0)&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;data&amp;gt;&lt;br/&gt;/ columns = (date time subject group trialnum trialcode response latency &lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;trialduration values.ts values.calculated_duration_of_previous_trial)&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;/ separatefiles = true&lt;br/&gt;&amp;lt;/data&amp;gt;&lt;br/&gt;[/code]&lt;br/&gt;&lt;br/&gt;Example data:&lt;br/&gt;&lt;br/&gt;&lt;img src="data:image/png;base64,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&lt;a class=" if-quote-goto="" quote-link"="" href="#" data-id="34157"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;/div&gt;&lt;/div&gt;                &lt;/blockquote&gt;&lt;br/&gt;If there is a question or something else here, I am not seeing it. Repost whatever it is clearly, please</description><pubDate>Wed, 06 Apr 2022 12:28:32 GMT</pubDate><dc:creator>Dave</dc:creator></item><item><title>RE: Stroop with limited time for response &amp; errormsg included</title><link>https://forums.millisecond.com/Topic34157.aspx</link><description>&lt;blockquote data-id="34154" class="if-quote-wrapper" unselectable="on" data-guid="1649247420641" contenteditable="false" id="if_insertedNode_1649247419911"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34154" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34154" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34154" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 4/6/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34154"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="34152" class="if-quote-wrapper" unselectable="on" data-guid="1649247420641" id="if_insertedNode_1649246548079" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34152" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34152" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34152" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 4/6/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34152"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="34151" class="if-quote-wrapper" unselectable="on" data-guid="1649247420641" id="if_insertedNode_1649245876274" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34151" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34151" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34151" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;MystaK - 4/6/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34151"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="34149" class="if-quote-wrapper" unselectable="on" data-guid="1649247420641" id="if_insertedNode_1649232644741" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34149" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34149" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34149" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 4/5/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34149"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="34148" class="if-quote-wrapper" unselectable="on" data-guid="1649247420641" id="if_insertedNode_1649177660473" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34148" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34148" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34148" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;MystaK - 4/5/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34148"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;Hi,&lt;br/&gt;&lt;br/&gt;I am trying to run an experiment with Stroop which should last 45 minutes and have the same amount of trials for each participant. This would involve 1080 trials which last 2500 ms (including time for user's response)&lt;br/&gt;Ideally, I am looking for total single trial duration which lasts 2500ms and has parameters:&lt;br/&gt;*&amp;nbsp;1000 ms of stimulus display eg. &lt;font color="#424242"&gt;&lt;strong&gt;RED&lt;/strong&gt;&lt;/font&gt;&lt;br/&gt;* 1500 ms of blank screen&lt;br/&gt;Here, from the stimulus onset (1 frame), participant has 1700 ms (1000ms of stimulus display + 700ms taken from the blank screen time) to make a response&amp;nbsp;&lt;br/&gt;With a missed/lapsed response&amp;nbsp; after 1700 ms from the stimulus onset the "X" is displayed for 400 ms, and also when incorrect response (as already in-built)&lt;br/&gt;&lt;br/&gt;--&amp;gt; I tried /timeout = 1700 but I see error saying I cannot have timeout &amp;amp; trialduration at the same time.&lt;br/&gt;--&amp;gt;&amp;nbsp;With my previous modifications I have noticed, that /trialduration = 2500 would not include the timing of /error message, which lasts 400 ms, so it with errorr msg it exceeds initial 45 min.&lt;br/&gt;--&amp;gt;&amp;nbsp;I have also tried with adding a /correct message which would last 400 ms and be simply a blank screen (and steal these 400 ms from trialduration to still fit into 45 min), however then I do not get any error message once there is 'no key response' by user (which also is an incorrect answer). &lt;br/&gt;&lt;br/&gt;After all this, I have modified the code for all trials to look as the one below, [unfortunately without timeout 1700 ms], which shows /error message for both [incorrect AND no response]. For no responses (so when the script runs without any keyboard reaction) numbers add up to have 2500ms, however when a response is made, I subtract the recorded script.elapsedtime and the numbers are simply not adding up, so I do not reach 45 min, but more.&lt;br/&gt;&lt;br/&gt;&amp;lt;trial redcongruent&amp;gt; &lt;br/&gt;/ontrialbegin = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.congruency = 1;&lt;br/&gt;]&lt;br/&gt;/ pretrialpause = 0&lt;br/&gt;/ stimulustimes = [1=redcongruent, redreminder, greenreminder, bluereminder, blackreminder]&lt;br/&gt;/ correctresponse = ("d")&lt;br/&gt;/ validresponse = ("d", "f", "j", "k")&lt;br/&gt;&lt;strong&gt;/ errormessage = true(x, 0)&lt;/strong&gt;&lt;br/&gt;/ posttrialpause = 400&lt;br/&gt;&lt;strong&gt;/ trialduration = 2500&lt;/strong&gt;&lt;br/&gt;/ontrialend = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.responses.insertitem(trial.redcongruent.correct, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.responses_congruent.insertitem(trial.redcongruent.correct, 1);&lt;br/&gt;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.redcongruent.correct) {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.latencies.insertitem(trial.redcongruent.latency, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.latencies_congruent.insertitem(trial.redcongruent.latency, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;}&lt;br/&gt;]&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;img 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" alt=""&gt;&lt;br/&gt;Any help would be greatly appreciated.&lt;a class="if-quote-goto quote-link" href="#" data-id="34148"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;I'm not sure what your questions are and what the calculations in the spreadsheet screenshot you posted are supposed to convey. Please clarify.&lt;a class="if-quote-goto quote-link" href="#" data-id="34149"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Hi Dave,&lt;br/&gt;thank you for the prompt reply.&lt;br/&gt;As described earlier, I am trying to change the code of the Stroop [English version] for it to last 45 min, so each participant gets the same amount of the stimuli. Here it would be 1080 stimuli which last 2500 ms (exposion of the stimuli + response + errormessage + eventual post or peritrialpause), with additional requierement for a timeout (a response since the stimuli exposition) = 1700 ms within those 2500ms. However, all ma attempts are unsuccessful so far.&lt;br/&gt;The picture shows that even if the trial duration is set to last 2500 ms, not all trials last those 2500 ms (colours on the picture show elapsed time + 2500ms, which should add up as response has to be made within the trialduration, and the rest should be filled in until the end of the 2500ms, however it doesn't) so I cannot achieve 45 min with 1080 stimuli, but more or less, which is not my aim.&amp;nbsp;&lt;br/&gt;&lt;br/&gt;My question is, if there is a way to code these requirements in Inquisit.&lt;a class="if-quote-goto quote-link" href="#" data-id="34151"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;&amp;gt; The picture shows that even if the trial duration is set to last 2500 ms, not all trials last those 2500 ms (colours on the picture show elapsed time + 2500ms, which should add up as response has to be made within the trialduration, and the rest should be filled in until the end of the 2500ms, however it doesn't)&lt;br/&gt;&lt;br/&gt;Where do you think your spreadsheet / calculations show that? Explain your math, please. Because I think you're working off mistaken assumptions here.&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="34152"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Adding a few general remarks: First, to understand the various components of trial timing, &lt;a href="https://www.millisecond.com/support/docs/v5/html/howto/howtocontroltiming.htm"&gt;&lt;a href="https://www.millisecond.com/support/docs/v5/html/howto/howtocontroltiming.htm"&gt;https://www.millisecond.com/support/docs/v5/html/howto/howtocontroltiming.htm&lt;/a&gt;&lt;/a&gt; is essential.&lt;br/&gt;If you really want to nail timing, pre- and posttrialpause are important. Lastly, to double-check timing, the most exact method is calculating the difference between the timestamps &lt;a href="https://www.millisecond.com/support/docs/v5/html/language/properties/timestamp.htm"&gt;&lt;a href="https://www.millisecond.com/support/docs/v5/html/language/properties/timestamp.htm"&gt;https://www.millisecond.com/support/docs/v5/html/language/properties/timestamp.htm&lt;/a&gt;&lt;/a&gt; of trial N and trial N-1, i.e. the previous trial. Simple example code:&lt;br/&gt;&lt;br/&gt;[code]&amp;lt;values&amp;gt;&lt;br/&gt;/ ts = 0&lt;br/&gt;/ ts_prev = 0&lt;br/&gt;/ ts_current = 0&lt;br/&gt;/ calculated_duration_of_previous_trial = 0;&lt;br/&gt;&amp;lt;/values&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;block myblock&amp;gt;&lt;br/&gt;/ trials = [1-10 = trial.mytrial; 11 = trial.end]&lt;br/&gt;&amp;lt;/block&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial mytrial&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.ts = trial.mytrial.timestamp;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.ts_prev = values.ts_current;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.ts_current = values.ts;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (values.ts_prev != 0) {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.calculated_duration_of_previous_trial = values.ts_current - values.ts_prev;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;};&lt;br/&gt;]&lt;br/&gt;/ pretrialpause = 500&lt;br/&gt;/ stimulustimes = [0=mytext; 500=clearscreen]&lt;br/&gt;/ beginresponsetime = -1&lt;br/&gt;/ responseinterrupt = frames&lt;br/&gt;/ posttrialpause = 1000&lt;br/&gt;/ trialduration = 2500&lt;br/&gt;/ validresponse = (57, 0)&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;text mytext&amp;gt;&lt;br/&gt;/ items = ("Press SPACE")&lt;br/&gt;/ erase = false&lt;br/&gt;&amp;lt;/text&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial end&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.ts = trial.end.timestamp;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.ts_prev = values.ts_current;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.ts_current = values.ts;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (values.ts_prev != 0) {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.calculated_duration_of_previous_trial = values.ts_current - values.ts_prev;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;};&lt;br/&gt;]&lt;br/&gt;/ pretrialpause = 500&lt;br/&gt;/ trialduration = 1000&lt;br/&gt;/ validresponse = (0)&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;data&amp;gt;&lt;br/&gt;/ columns = (date time subject group trialnum trialcode response latency &lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;trialduration values.ts values.calculated_duration_of_previous_trial)&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;/ separatefiles = true&lt;br/&gt;&amp;lt;/data&amp;gt;&lt;br/&gt;[/code]&lt;br/&gt;&lt;br/&gt;Example data:&lt;br/&gt;&lt;br/&gt;&lt;img src="data:image/png;base64,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</description><pubDate>Wed, 06 Apr 2022 12:25:19 GMT</pubDate><dc:creator>MystaK</dc:creator></item><item><title>RE: Stroop with limited time for response &amp; errormsg included</title><link>https://forums.millisecond.com/Topic34156.aspx</link><description>&lt;blockquote data-id="34155" class="if-quote-wrapper" unselectable="on" data-guid="1649247750574" id="if_insertedNode_1649247748875" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34155" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34155" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34155" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;MystaK - 4/6/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34155"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="34152" class="if-quote-wrapper" unselectable="on" data-guid="1649247750574" id="if_insertedNode_1649246043009" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34152" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34152" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34152" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 4/6/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34152"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="34151" class="if-quote-wrapper" unselectable="on" data-guid="1649247750574" id="if_insertedNode_1649245876274" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34151" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34151" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34151" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;MystaK - 4/6/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34151"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="34149" class="if-quote-wrapper" unselectable="on" data-guid="1649247750574" id="if_insertedNode_1649232644741" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34149" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34149" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34149" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 4/5/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34149"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="34148" class="if-quote-wrapper" unselectable="on" data-guid="1649247750574" id="if_insertedNode_1649177660473" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34148" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34148" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34148" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;MystaK - 4/5/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34148"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;Hi,&lt;br/&gt;&lt;br/&gt;I am trying to run an experiment with Stroop which should last 45 minutes and have the same amount of trials for each participant. This would involve 1080 trials which last 2500 ms (including time for user's response)&lt;br/&gt;Ideally, I am looking for total single trial duration which lasts 2500ms and has parameters:&lt;br/&gt;*&amp;nbsp;1000 ms of stimulus display eg. &lt;font color="#424242"&gt;&lt;strong&gt;RED&lt;/strong&gt;&lt;/font&gt;&lt;br/&gt;* 1500 ms of blank screen&lt;br/&gt;Here, from the stimulus onset (1 frame), participant has 1700 ms (1000ms of stimulus display + 700ms taken from the blank screen time) to make a response&amp;nbsp;&lt;br/&gt;With a missed/lapsed response&amp;nbsp; after 1700 ms from the stimulus onset the "X" is displayed for 400 ms, and also when incorrect response (as already in-built)&lt;br/&gt;&lt;br/&gt;--&amp;gt; I tried /timeout = 1700 but I see error saying I cannot have timeout &amp;amp; trialduration at the same time.&lt;br/&gt;--&amp;gt;&amp;nbsp;With my previous modifications I have noticed, that /trialduration = 2500 would not include the timing of /error message, which lasts 400 ms, so it with errorr msg it exceeds initial 45 min.&lt;br/&gt;--&amp;gt;&amp;nbsp;I have also tried with adding a /correct message which would last 400 ms and be simply a blank screen (and steal these 400 ms from trialduration to still fit into 45 min), however then I do not get any error message once there is 'no key response' by user (which also is an incorrect answer). &lt;br/&gt;&lt;br/&gt;After all this, I have modified the code for all trials to look as the one below, [unfortunately without timeout 1700 ms], which shows /error message for both [incorrect AND no response]. For no responses (so when the script runs without any keyboard reaction) numbers add up to have 2500ms, however when a response is made, I subtract the recorded script.elapsedtime and the numbers are simply not adding up, so I do not reach 45 min, but more.&lt;br/&gt;&lt;br/&gt;&amp;lt;trial redcongruent&amp;gt; &lt;br/&gt;/ontrialbegin = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.congruency = 1;&lt;br/&gt;]&lt;br/&gt;/ pretrialpause = 0&lt;br/&gt;/ stimulustimes = [1=redcongruent, redreminder, greenreminder, bluereminder, blackreminder]&lt;br/&gt;/ correctresponse = ("d")&lt;br/&gt;/ validresponse = ("d", "f", "j", "k")&lt;br/&gt;&lt;strong&gt;/ errormessage = true(x, 0)&lt;/strong&gt;&lt;br/&gt;/ posttrialpause = 400&lt;br/&gt;&lt;strong&gt;/ trialduration = 2500&lt;/strong&gt;&lt;br/&gt;/ontrialend = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.responses.insertitem(trial.redcongruent.correct, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.responses_congruent.insertitem(trial.redcongruent.correct, 1);&lt;br/&gt;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.redcongruent.correct) {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.latencies.insertitem(trial.redcongruent.latency, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.latencies_congruent.insertitem(trial.redcongruent.latency, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;}&lt;br/&gt;]&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;img 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" alt=""&gt;&lt;br/&gt;Any help would be greatly appreciated.&lt;a class="if-quote-goto quote-link" href="#" data-id="34148"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;I'm not sure what your questions are and what the calculations in the spreadsheet screenshot you posted are supposed to convey. Please clarify.&lt;a class="if-quote-goto quote-link" href="#" data-id="34149"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Hi Dave,&lt;br/&gt;thank you for the prompt reply.&lt;br/&gt;As described earlier, I am trying to change the code of the Stroop [English version] for it to last 45 min, so each participant gets the same amount of the stimuli. Here it would be 1080 stimuli which last 2500 ms (exposion of the stimuli + response + errormessage + eventual post or peritrialpause), with additional requierement for a timeout (a response since the stimuli exposition) = 1700 ms within those 2500ms. However, all ma attempts are unsuccessful so far.&lt;br/&gt;The picture shows that even if the trial duration is set to last 2500 ms, not all trials last those 2500 ms (colours on the picture show elapsed time + 2500ms, which should add up as response has to be made within the trialduration, and the rest should be filled in until the end of the 2500ms, however it doesn't) so I cannot achieve 45 min with 1080 stimuli, but more or less, which is not my aim.&amp;nbsp;&lt;br/&gt;&lt;br/&gt;My question is, if there is a way to code these requirements in Inquisit.&lt;a class="if-quote-goto quote-link" href="#" data-id="34151"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;&amp;gt; The picture shows that even if the trial duration is set to last 2500 ms, not all trials last those 2500 ms (colours on the picture show elapsed time + 2500ms, which should add up as response has to be made within the trialduration, and the rest should be filled in until the end of the 2500ms, however it doesn't)&lt;br/&gt;&lt;br/&gt;Where do you think your spreadsheet / calculations show that? Explain your math, please. Because I think you're working off mistaken assumptions here.&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="34152"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;For my understanding,&amp;nbsp;elapsed time is in ms. The table calculations is just me double checking If what I coded gives me the results and protocol I want. For my understanding, between subsequent stimuli (which are set to last 2500ms), the difference between those elapsed times in subsequent rows should also be 2500, regardless of when the response was made (since there is only 2500 given for each trial, with response included in that time). I am subtracting 2500 (trial duration) from the current elapsed time [left coloured column] eg. 15801 and it should give me the elapsed time for the previous stimuli, eg. 13301 [right coloured column]. Exemplar rows were made with no key response to a stimuli, however when a response occurs (row with a stimuli which has a latency of 741 ms), elapsed times do not "add up" when I run my double check. Maybe my double check is wrong, I am lost at this point.&amp;nbsp;&lt;br/&gt;&lt;br/&gt;Regardless of my calculations there, I try to code display of all stimuli for 1000ms and 400ms for errormessage - all within trial duration=2500 to implement my criteria, however I receive errors when I am attempting to code it in various ways.&lt;br/&gt;&lt;br/&gt;I am just looking for help and any way to design Stroop in Inquisit with 1080 trials lasting 2500 ms (including: stimuli display + response + error message for 'no response' &amp;amp; 'incorrect response') to achieve exactly 45 min duration of the experiment. With a current code I have, experiment does not last 45 min.&lt;a class="if-quote-goto quote-link" href="#" data-id="34155"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;&amp;gt; Exemplar rows were made with no key response to a stimuli, however when a response occurs (row with a stimuli which has a latency of 741 ms), elapsed times do not "add up" when I run my double check.&lt;br/&gt;&lt;br/&gt;You are taking elapsed time &lt;strong&gt;at the time the trial logs its data&lt;/strong&gt;. If there is &lt;strong&gt;no response&lt;/strong&gt;, that occurs at the end of the 2500ms trialduration.&lt;strong&gt; If there is a response&lt;/strong&gt;, data logging occurs &lt;strong&gt;earlier&lt;/strong&gt;, after the response. Data logging occurs when the trial doesn't have anything to log anymore, at the earliest time possible.&lt;br/&gt;</description><pubDate>Wed, 06 Apr 2022 12:24:50 GMT</pubDate><dc:creator>Dave</dc:creator></item><item><title>RE: Stroop with limited time for response &amp; errormsg included</title><link>https://forums.millisecond.com/Topic34155.aspx</link><description>&lt;blockquote data-id="34152" class="if-quote-wrapper" unselectable="on" data-guid="1649246044336" contenteditable="false" id="if_insertedNode_1649246043009"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34152" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34152" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34152" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 4/6/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34152"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="34151" class="if-quote-wrapper" unselectable="on" data-guid="1649246044336" id="if_insertedNode_1649245876274" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34151" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34151" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34151" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;MystaK - 4/6/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34151"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="34149" class="if-quote-wrapper" unselectable="on" data-guid="1649246044336" id="if_insertedNode_1649232644741" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34149" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34149" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34149" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 4/5/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34149"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="34148" class="if-quote-wrapper" unselectable="on" data-guid="1649246044336" id="if_insertedNode_1649177660473" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34148" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34148" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34148" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;MystaK - 4/5/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34148"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;Hi,&lt;br/&gt;&lt;br/&gt;I am trying to run an experiment with Stroop which should last 45 minutes and have the same amount of trials for each participant. This would involve 1080 trials which last 2500 ms (including time for user's response)&lt;br/&gt;Ideally, I am looking for total single trial duration which lasts 2500ms and has parameters:&lt;br/&gt;*&amp;nbsp;1000 ms of stimulus display eg. &lt;font color="#424242"&gt;&lt;strong&gt;RED&lt;/strong&gt;&lt;/font&gt;&lt;br/&gt;* 1500 ms of blank screen&lt;br/&gt;Here, from the stimulus onset (1 frame), participant has 1700 ms (1000ms of stimulus display + 700ms taken from the blank screen time) to make a response&amp;nbsp;&lt;br/&gt;With a missed/lapsed response&amp;nbsp; after 1700 ms from the stimulus onset the "X" is displayed for 400 ms, and also when incorrect response (as already in-built)&lt;br/&gt;&lt;br/&gt;--&amp;gt; I tried /timeout = 1700 but I see error saying I cannot have timeout &amp;amp; trialduration at the same time.&lt;br/&gt;--&amp;gt;&amp;nbsp;With my previous modifications I have noticed, that /trialduration = 2500 would not include the timing of /error message, which lasts 400 ms, so it with errorr msg it exceeds initial 45 min.&lt;br/&gt;--&amp;gt;&amp;nbsp;I have also tried with adding a /correct message which would last 400 ms and be simply a blank screen (and steal these 400 ms from trialduration to still fit into 45 min), however then I do not get any error message once there is 'no key response' by user (which also is an incorrect answer). &lt;br/&gt;&lt;br/&gt;After all this, I have modified the code for all trials to look as the one below, [unfortunately without timeout 1700 ms], which shows /error message for both [incorrect AND no response]. For no responses (so when the script runs without any keyboard reaction) numbers add up to have 2500ms, however when a response is made, I subtract the recorded script.elapsedtime and the numbers are simply not adding up, so I do not reach 45 min, but more.&lt;br/&gt;&lt;br/&gt;&amp;lt;trial redcongruent&amp;gt; &lt;br/&gt;/ontrialbegin = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.congruency = 1;&lt;br/&gt;]&lt;br/&gt;/ pretrialpause = 0&lt;br/&gt;/ stimulustimes = [1=redcongruent, redreminder, greenreminder, bluereminder, blackreminder]&lt;br/&gt;/ correctresponse = ("d")&lt;br/&gt;/ validresponse = ("d", "f", "j", "k")&lt;br/&gt;&lt;strong&gt;/ errormessage = true(x, 0)&lt;/strong&gt;&lt;br/&gt;/ posttrialpause = 400&lt;br/&gt;&lt;strong&gt;/ trialduration = 2500&lt;/strong&gt;&lt;br/&gt;/ontrialend = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.responses.insertitem(trial.redcongruent.correct, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.responses_congruent.insertitem(trial.redcongruent.correct, 1);&lt;br/&gt;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.redcongruent.correct) {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.latencies.insertitem(trial.redcongruent.latency, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.latencies_congruent.insertitem(trial.redcongruent.latency, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;}&lt;br/&gt;]&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;img 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" alt=""&gt;&lt;br/&gt;Any help would be greatly appreciated.&lt;a class="if-quote-goto quote-link" href="#" data-id="34148"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;I'm not sure what your questions are and what the calculations in the spreadsheet screenshot you posted are supposed to convey. Please clarify.&lt;a class="if-quote-goto quote-link" href="#" data-id="34149"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Hi Dave,&lt;br/&gt;thank you for the prompt reply.&lt;br/&gt;As described earlier, I am trying to change the code of the Stroop [English version] for it to last 45 min, so each participant gets the same amount of the stimuli. Here it would be 1080 stimuli which last 2500 ms (exposion of the stimuli + response + errormessage + eventual post or peritrialpause), with additional requierement for a timeout (a response since the stimuli exposition) = 1700 ms within those 2500ms. However, all ma attempts are unsuccessful so far.&lt;br/&gt;The picture shows that even if the trial duration is set to last 2500 ms, not all trials last those 2500 ms (colours on the picture show elapsed time + 2500ms, which should add up as response has to be made within the trialduration, and the rest should be filled in until the end of the 2500ms, however it doesn't) so I cannot achieve 45 min with 1080 stimuli, but more or less, which is not my aim.&amp;nbsp;&lt;br/&gt;&lt;br/&gt;My question is, if there is a way to code these requirements in Inquisit.&lt;a class="if-quote-goto quote-link" href="#" data-id="34151"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;&amp;gt; The picture shows that even if the trial duration is set to last 2500 ms, not all trials last those 2500 ms (colours on the picture show elapsed time + 2500ms, which should add up as response has to be made within the trialduration, and the rest should be filled in until the end of the 2500ms, however it doesn't)&lt;br/&gt;&lt;br/&gt;Where do you think your spreadsheet / calculations show that? Explain your math, please. Because I think you're working off mistaken assumptions here.&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="34152"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;For my understanding,&amp;nbsp;elapsed time is in ms. The table calculations is just me double checking If what I coded gives me the results and protocol I want. For my understanding, between subsequent stimuli (which are set to last 2500ms), the difference between those elapsed times in subsequent rows should also be 2500, regardless of when the response was made (since there is only 2500 given for each trial, with response included in that time). I am subtracting 2500 (trial duration) from the current elapsed time [left coloured column] eg. 15801 and it should give me the elapsed time for the previous stimuli, eg. 13301 [right coloured column]. Exemplar rows were made with no key response to a stimuli, however when a response occurs (row with a stimuli which has a latency of 741 ms), elapsed times do not "add up" when I run my double check. Maybe my double check is wrong, I am lost at this point.&amp;nbsp;&lt;br/&gt;&lt;br/&gt;Regardless of my calculations there, I try to code display of all stimuli for 1000ms and 400ms for errormessage - all within trial duration=2500 to implement my criteria, however I receive errors when I am attempting to code it in various ways.&lt;br/&gt;&lt;br/&gt;I am just looking for help and any way to design Stroop in Inquisit with 1080 trials lasting 2500 ms (including: stimuli display + response + error message for 'no response' &amp;amp; 'incorrect response') to achieve exactly 45 min duration of the experiment. With a current code I have, experiment does not last 45 min.</description><pubDate>Wed, 06 Apr 2022 12:14:26 GMT</pubDate><dc:creator>MystaK</dc:creator></item><item><title>RE: Stroop with limited time for response &amp; errormsg included</title><link>https://forums.millisecond.com/Topic34154.aspx</link><description>&lt;blockquote data-id="34152" class="if-quote-wrapper" unselectable="on" data-guid="1649246548536" id="if_insertedNode_1649246548079" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34152" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34152" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34152" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 4/6/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34152"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="34151" class="if-quote-wrapper" unselectable="on" data-guid="1649246548536" id="if_insertedNode_1649245876274" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34151" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34151" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34151" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;MystaK - 4/6/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34151"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="34149" class="if-quote-wrapper" unselectable="on" data-guid="1649246548536" id="if_insertedNode_1649232644741" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34149" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34149" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34149" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 4/5/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34149"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="34148" class="if-quote-wrapper" unselectable="on" data-guid="1649246548536" id="if_insertedNode_1649177660473" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34148" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34148" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34148" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;MystaK - 4/5/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34148"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;Hi,&lt;br/&gt;&lt;br/&gt;I am trying to run an experiment with Stroop which should last 45 minutes and have the same amount of trials for each participant. This would involve 1080 trials which last 2500 ms (including time for user's response)&lt;br/&gt;Ideally, I am looking for total single trial duration which lasts 2500ms and has parameters:&lt;br/&gt;*&amp;nbsp;1000 ms of stimulus display eg. &lt;font color="#424242"&gt;&lt;strong&gt;RED&lt;/strong&gt;&lt;/font&gt;&lt;br/&gt;* 1500 ms of blank screen&lt;br/&gt;Here, from the stimulus onset (1 frame), participant has 1700 ms (1000ms of stimulus display + 700ms taken from the blank screen time) to make a response&amp;nbsp;&lt;br/&gt;With a missed/lapsed response&amp;nbsp; after 1700 ms from the stimulus onset the "X" is displayed for 400 ms, and also when incorrect response (as already in-built)&lt;br/&gt;&lt;br/&gt;--&amp;gt; I tried /timeout = 1700 but I see error saying I cannot have timeout &amp;amp; trialduration at the same time.&lt;br/&gt;--&amp;gt;&amp;nbsp;With my previous modifications I have noticed, that /trialduration = 2500 would not include the timing of /error message, which lasts 400 ms, so it with errorr msg it exceeds initial 45 min.&lt;br/&gt;--&amp;gt;&amp;nbsp;I have also tried with adding a /correct message which would last 400 ms and be simply a blank screen (and steal these 400 ms from trialduration to still fit into 45 min), however then I do not get any error message once there is 'no key response' by user (which also is an incorrect answer). &lt;br/&gt;&lt;br/&gt;After all this, I have modified the code for all trials to look as the one below, [unfortunately without timeout 1700 ms], which shows /error message for both [incorrect AND no response]. For no responses (so when the script runs without any keyboard reaction) numbers add up to have 2500ms, however when a response is made, I subtract the recorded script.elapsedtime and the numbers are simply not adding up, so I do not reach 45 min, but more.&lt;br/&gt;&lt;br/&gt;&amp;lt;trial redcongruent&amp;gt; &lt;br/&gt;/ontrialbegin = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.congruency = 1;&lt;br/&gt;]&lt;br/&gt;/ pretrialpause = 0&lt;br/&gt;/ stimulustimes = [1=redcongruent, redreminder, greenreminder, bluereminder, blackreminder]&lt;br/&gt;/ correctresponse = ("d")&lt;br/&gt;/ validresponse = ("d", "f", "j", "k")&lt;br/&gt;&lt;strong&gt;/ errormessage = true(x, 0)&lt;/strong&gt;&lt;br/&gt;/ posttrialpause = 400&lt;br/&gt;&lt;strong&gt;/ trialduration = 2500&lt;/strong&gt;&lt;br/&gt;/ontrialend = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.responses.insertitem(trial.redcongruent.correct, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.responses_congruent.insertitem(trial.redcongruent.correct, 1);&lt;br/&gt;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.redcongruent.correct) {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.latencies.insertitem(trial.redcongruent.latency, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.latencies_congruent.insertitem(trial.redcongruent.latency, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;}&lt;br/&gt;]&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;img 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" alt=""&gt;&lt;br/&gt;Any help would be greatly appreciated.&lt;a class="if-quote-goto quote-link" href="#" data-id="34148"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;I'm not sure what your questions are and what the calculations in the spreadsheet screenshot you posted are supposed to convey. Please clarify.&lt;a class="if-quote-goto quote-link" href="#" data-id="34149"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Hi Dave,&lt;br/&gt;thank you for the prompt reply.&lt;br/&gt;As described earlier, I am trying to change the code of the Stroop [English version] for it to last 45 min, so each participant gets the same amount of the stimuli. Here it would be 1080 stimuli which last 2500 ms (exposion of the stimuli + response + errormessage + eventual post or peritrialpause), with additional requierement for a timeout (a response since the stimuli exposition) = 1700 ms within those 2500ms. However, all ma attempts are unsuccessful so far.&lt;br/&gt;The picture shows that even if the trial duration is set to last 2500 ms, not all trials last those 2500 ms (colours on the picture show elapsed time + 2500ms, which should add up as response has to be made within the trialduration, and the rest should be filled in until the end of the 2500ms, however it doesn't) so I cannot achieve 45 min with 1080 stimuli, but more or less, which is not my aim.&amp;nbsp;&lt;br/&gt;&lt;br/&gt;My question is, if there is a way to code these requirements in Inquisit.&lt;a class="if-quote-goto quote-link" href="#" data-id="34151"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;&amp;gt; The picture shows that even if the trial duration is set to last 2500 ms, not all trials last those 2500 ms (colours on the picture show elapsed time + 2500ms, which should add up as response has to be made within the trialduration, and the rest should be filled in until the end of the 2500ms, however it doesn't)&lt;br/&gt;&lt;br/&gt;Where do you think your spreadsheet / calculations show that? Explain your math, please. Because I think you're working off mistaken assumptions here.&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="34152"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Adding a few general remarks: First, to understand the various components of trial timing, &lt;a href="https://www.millisecond.com/support/docs/v5/html/howto/howtocontroltiming.htm"&gt;https://www.millisecond.com/support/docs/v5/html/howto/howtocontroltiming.htm&lt;/a&gt; is essential.&lt;br/&gt;If you really want to nail timing, pre- and posttrialpause are important. Lastly, to double-check timing, the most exact method is calculating the difference between the timestamps &lt;a href="https://www.millisecond.com/support/docs/v5/html/language/properties/timestamp.htm"&gt;https://www.millisecond.com/support/docs/v5/html/language/properties/timestamp.htm&lt;/a&gt; of trial N and trial N-1, i.e. the previous trial. Simple example code:&lt;br/&gt;&lt;br/&gt;[code]&amp;lt;values&amp;gt;&lt;br/&gt;/ ts = 0&lt;br/&gt;/ ts_prev = 0&lt;br/&gt;/ ts_current = 0&lt;br/&gt;/ calculated_duration_of_previous_trial = 0;&lt;br/&gt;&amp;lt;/values&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;block myblock&amp;gt;&lt;br/&gt;/ trials = [1-10 = trial.mytrial; 11 = trial.end]&lt;br/&gt;&amp;lt;/block&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial mytrial&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.ts = trial.mytrial.timestamp;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.ts_prev = values.ts_current;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.ts_current = values.ts;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (values.ts_prev != 0) {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.calculated_duration_of_previous_trial = values.ts_current - values.ts_prev;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;};&lt;br/&gt;]&lt;br/&gt;/ pretrialpause = 500&lt;br/&gt;/ stimulustimes = [0=mytext; 500=clearscreen]&lt;br/&gt;/ beginresponsetime = -1&lt;br/&gt;/ responseinterrupt = frames&lt;br/&gt;/ posttrialpause = 1000&lt;br/&gt;/ trialduration = 2500&lt;br/&gt;/ validresponse = (57, 0)&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;text mytext&amp;gt;&lt;br/&gt;/ items = ("Press SPACE")&lt;br/&gt;/ erase = false&lt;br/&gt;&amp;lt;/text&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial end&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.ts = trial.end.timestamp;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.ts_prev = values.ts_current;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.ts_current = values.ts;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (values.ts_prev != 0) {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.calculated_duration_of_previous_trial = values.ts_current - values.ts_prev;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;};&lt;br/&gt;]&lt;br/&gt;/ pretrialpause = 500&lt;br/&gt;/ trialduration = 1000&lt;br/&gt;/ validresponse = (0)&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;data&amp;gt;&lt;br/&gt;/ columns = (date time subject group trialnum trialcode response latency &lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;trialduration values.ts values.calculated_duration_of_previous_trial)&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;/ separatefiles = true&lt;br/&gt;&amp;lt;/data&amp;gt;&lt;br/&gt;[/code]&lt;br/&gt;&lt;br/&gt;Example data:&lt;br/&gt;&lt;br/&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;br/&gt;&lt;br/&gt;&lt;br/&gt;</description><pubDate>Wed, 06 Apr 2022 12:09:35 GMT</pubDate><dc:creator>Dave</dc:creator></item><item><title>RE: Stroop with limited time for response &amp; errormsg included</title><link>https://forums.millisecond.com/Topic34152.aspx</link><description>&lt;blockquote data-id="34151" class="if-quote-wrapper" unselectable="on" data-guid="1649245877246" id="if_insertedNode_1649245876274" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34151" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34151" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34151" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;MystaK - 4/6/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34151"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="34149" class="if-quote-wrapper" unselectable="on" data-guid="1649245877246" id="if_insertedNode_1649232644741" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34149" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34149" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34149" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 4/5/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34149"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="34148" class="if-quote-wrapper" unselectable="on" data-guid="1649245877246" id="if_insertedNode_1649177660473" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34148" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34148" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34148" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;MystaK - 4/5/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34148"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;Hi,&lt;br/&gt;&lt;br/&gt;I am trying to run an experiment with Stroop which should last 45 minutes and have the same amount of trials for each participant. This would involve 1080 trials which last 2500 ms (including time for user's response)&lt;br/&gt;Ideally, I am looking for total single trial duration which lasts 2500ms and has parameters:&lt;br/&gt;*&amp;nbsp;1000 ms of stimulus display eg. &lt;font color="#424242"&gt;&lt;strong&gt;RED&lt;/strong&gt;&lt;/font&gt;&lt;br/&gt;* 1500 ms of blank screen&lt;br/&gt;Here, from the stimulus onset (1 frame), participant has 1700 ms (1000ms of stimulus display + 700ms taken from the blank screen time) to make a response&amp;nbsp;&lt;br/&gt;With a missed/lapsed response&amp;nbsp; after 1700 ms from the stimulus onset the "X" is displayed for 400 ms, and also when incorrect response (as already in-built)&lt;br/&gt;&lt;br/&gt;--&amp;gt; I tried /timeout = 1700 but I see error saying I cannot have timeout &amp;amp; trialduration at the same time.&lt;br/&gt;--&amp;gt;&amp;nbsp;With my previous modifications I have noticed, that /trialduration = 2500 would not include the timing of /error message, which lasts 400 ms, so it with errorr msg it exceeds initial 45 min.&lt;br/&gt;--&amp;gt;&amp;nbsp;I have also tried with adding a /correct message which would last 400 ms and be simply a blank screen (and steal these 400 ms from trialduration to still fit into 45 min), however then I do not get any error message once there is 'no key response' by user (which also is an incorrect answer). &lt;br/&gt;&lt;br/&gt;After all this, I have modified the code for all trials to look as the one below, [unfortunately without timeout 1700 ms], which shows /error message for both [incorrect AND no response]. For no responses (so when the script runs without any keyboard reaction) numbers add up to have 2500ms, however when a response is made, I subtract the recorded script.elapsedtime and the numbers are simply not adding up, so I do not reach 45 min, but more.&lt;br/&gt;&lt;br/&gt;&amp;lt;trial redcongruent&amp;gt; &lt;br/&gt;/ontrialbegin = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.congruency = 1;&lt;br/&gt;]&lt;br/&gt;/ pretrialpause = 0&lt;br/&gt;/ stimulustimes = [1=redcongruent, redreminder, greenreminder, bluereminder, blackreminder]&lt;br/&gt;/ correctresponse = ("d")&lt;br/&gt;/ validresponse = ("d", "f", "j", "k")&lt;br/&gt;&lt;strong&gt;/ errormessage = true(x, 0)&lt;/strong&gt;&lt;br/&gt;/ posttrialpause = 400&lt;br/&gt;&lt;strong&gt;/ trialduration = 2500&lt;/strong&gt;&lt;br/&gt;/ontrialend = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.responses.insertitem(trial.redcongruent.correct, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.responses_congruent.insertitem(trial.redcongruent.correct, 1);&lt;br/&gt;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.redcongruent.correct) {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.latencies.insertitem(trial.redcongruent.latency, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.latencies_congruent.insertitem(trial.redcongruent.latency, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;}&lt;br/&gt;]&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;img 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" alt=""&gt;&lt;br/&gt;Any help would be greatly appreciated.&lt;a class="if-quote-goto quote-link" href="#" data-id="34148"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;I'm not sure what your questions are and what the calculations in the spreadsheet screenshot you posted are supposed to convey. Please clarify.&lt;a class="if-quote-goto quote-link" href="#" data-id="34149"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Hi Dave,&lt;br/&gt;thank you for the prompt reply.&lt;br/&gt;As described earlier, I am trying to change the code of the Stroop [English version] for it to last 45 min, so each participant gets the same amount of the stimuli. Here it would be 1080 stimuli which last 2500 ms (exposion of the stimuli + response + errormessage + eventual post or peritrialpause), with additional requierement for a timeout (a response since the stimuli exposition) = 1700 ms within those 2500ms. However, all ma attempts are unsuccessful so far.&lt;br/&gt;The picture shows that even if the trial duration is set to last 2500 ms, not all trials last those 2500 ms (colours on the picture show elapsed time + 2500ms, which should add up as response has to be made within the trialduration, and the rest should be filled in until the end of the 2500ms, however it doesn't) so I cannot achieve 45 min with 1080 stimuli, but more or less, which is not my aim.&amp;nbsp;&lt;br/&gt;&lt;br/&gt;My question is, if there is a way to code these requirements in Inquisit.&lt;a class="if-quote-goto quote-link" href="#" data-id="34151"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;&amp;gt; The picture shows that even if the trial duration is set to last 2500 ms, not all trials last those 2500 ms (colours on the picture show elapsed time + 2500ms, which should add up as response has to be made within the trialduration, and the rest should be filled in until the end of the 2500ms, however it doesn't)&lt;br/&gt;&lt;br/&gt;Where do you think your spreadsheet / calculations show that? Explain your math, please. Because I think you're working off mistaken assumptions here.&lt;br/&gt;</description><pubDate>Wed, 06 Apr 2022 11:52:54 GMT</pubDate><dc:creator>Dave</dc:creator></item><item><title>RE: Stroop with limited time for response &amp; errormsg included</title><link>https://forums.millisecond.com/Topic34151.aspx</link><description>&lt;blockquote data-id="34149" class="if-quote-wrapper" unselectable="on" data-guid="1649232645622" contenteditable="false" id="if_insertedNode_1649232644741"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34149" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34149" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34149" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 4/5/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34149"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="34148" class="if-quote-wrapper" unselectable="on" data-guid="1649232645622" id="if_insertedNode_1649177660473" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34148" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34148" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34148" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;MystaK - 4/5/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34148"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;Hi,&lt;br/&gt;&lt;br/&gt;I am trying to run an experiment with Stroop which should last 45 minutes and have the same amount of trials for each participant. This would involve 1080 trials which last 2500 ms (including time for user's response)&lt;br/&gt;Ideally, I am looking for total single trial duration which lasts 2500ms and has parameters:&lt;br/&gt;*&amp;nbsp;1000 ms of stimulus display eg. &lt;font color="#424242"&gt;&lt;strong&gt;RED&lt;/strong&gt;&lt;/font&gt;&lt;br/&gt;* 1500 ms of blank screen&lt;br/&gt;Here, from the stimulus onset (1 frame), participant has 1700 ms (1000ms of stimulus display + 700ms taken from the blank screen time) to make a response&amp;nbsp;&lt;br/&gt;With a missed/lapsed response&amp;nbsp; after 1700 ms from the stimulus onset the "X" is displayed for 400 ms, and also when incorrect response (as already in-built)&lt;br/&gt;&lt;br/&gt;--&amp;gt; I tried /timeout = 1700 but I see error saying I cannot have timeout &amp;amp; trialduration at the same time.&lt;br/&gt;--&amp;gt;&amp;nbsp;With my previous modifications I have noticed, that /trialduration = 2500 would not include the timing of /error message, which lasts 400 ms, so it with errorr msg it exceeds initial 45 min.&lt;br/&gt;--&amp;gt;&amp;nbsp;I have also tried with adding a /correct message which would last 400 ms and be simply a blank screen (and steal these 400 ms from trialduration to still fit into 45 min), however then I do not get any error message once there is 'no key response' by user (which also is an incorrect answer). &lt;br/&gt;&lt;br/&gt;After all this, I have modified the code for all trials to look as the one below, [unfortunately without timeout 1700 ms], which shows /error message for both [incorrect AND no response]. For no responses (so when the script runs without any keyboard reaction) numbers add up to have 2500ms, however when a response is made, I subtract the recorded script.elapsedtime and the numbers are simply not adding up, so I do not reach 45 min, but more.&lt;br/&gt;&lt;br/&gt;&amp;lt;trial redcongruent&amp;gt; &lt;br/&gt;/ontrialbegin = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.congruency = 1;&lt;br/&gt;]&lt;br/&gt;/ pretrialpause = 0&lt;br/&gt;/ stimulustimes = [1=redcongruent, redreminder, greenreminder, bluereminder, blackreminder]&lt;br/&gt;/ correctresponse = ("d")&lt;br/&gt;/ validresponse = ("d", "f", "j", "k")&lt;br/&gt;&lt;strong&gt;/ errormessage = true(x, 0)&lt;/strong&gt;&lt;br/&gt;/ posttrialpause = 400&lt;br/&gt;&lt;strong&gt;/ trialduration = 2500&lt;/strong&gt;&lt;br/&gt;/ontrialend = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.responses.insertitem(trial.redcongruent.correct, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.responses_congruent.insertitem(trial.redcongruent.correct, 1);&lt;br/&gt;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.redcongruent.correct) {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.latencies.insertitem(trial.redcongruent.latency, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.latencies_congruent.insertitem(trial.redcongruent.latency, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;}&lt;br/&gt;]&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;img 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alt=""&gt;&lt;br/&gt;Any help would be greatly appreciated.&lt;a class="if-quote-goto quote-link" href="#" data-id="34148"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;I'm not sure what your questions are and what the calculations in the spreadsheet screenshot you posted are supposed to convey. Please clarify.&lt;a class="if-quote-goto quote-link" href="#" data-id="34149"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Hi Dave,&lt;br/&gt;thank you for the prompt reply.&lt;br/&gt;As described earlier, I am trying to change the code of the Stroop [English version] for it to last 45 min, so each participant gets the same amount of the stimuli. Here it would be 1080 stimuli which last 2500 ms (exposion of the stimuli + response + errormessage + eventual post or peritrialpause), with additional requierement for a timeout (a response since the stimuli exposition) = 1700 ms within those 2500ms. However, all ma attempts are unsuccessful so far.&lt;br/&gt;The picture shows that even if the trial duration is set to last 2500 ms, not all trials last those 2500 ms (colours on the picture show elapsed time + 2500ms, which should add up as response has to be made within the trialduration, and the rest should be filled in until the end of the 2500ms, however it doesn't) so I cannot achieve 45 min with 1080 stimuli, but more or less, which is not my aim.&amp;nbsp;&lt;br/&gt;&lt;br/&gt;My question is, if there is a way to code these requirements in Inquisit.</description><pubDate>Wed, 06 Apr 2022 08:22:24 GMT</pubDate><dc:creator>MystaK</dc:creator></item><item><title>RE: Stroop with limited time for response &amp; errormsg included</title><link>https://forums.millisecond.com/Topic34149.aspx</link><description>&lt;blockquote data-id="34148" class="if-quote-wrapper" unselectable="on" data-guid="1649177661390" id="if_insertedNode_1649177660473" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34148" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34148" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34148" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;MystaK - 4/5/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34148"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;Hi,&lt;br/&gt;&lt;br/&gt;I am trying to run an experiment with Stroop which should last 45 minutes and have the same amount of trials for each participant. This would involve 1080 trials which last 2500 ms (including time for user's response)&lt;br/&gt;Ideally, I am looking for total single trial duration which lasts 2500ms and has parameters:&lt;br/&gt;*&amp;nbsp;1000 ms of stimulus display eg. &lt;font color="#424242"&gt;&lt;strong&gt;RED&lt;/strong&gt;&lt;/font&gt;&lt;br/&gt;* 1500 ms of blank screen&lt;br/&gt;Here, from the stimulus onset (1 frame), participant has 1700 ms (1000ms of stimulus display + 700ms taken from the blank screen time) to make a response&amp;nbsp;&lt;br/&gt;With a missed/lapsed response&amp;nbsp; after 1700 ms from the stimulus onset the "X" is displayed for 400 ms, and also when incorrect response (as already in-built)&lt;br/&gt;&lt;br/&gt;--&amp;gt; I tried /timeout = 1700 but I see error saying I cannot have timeout &amp;amp; trialduration at the same time.&lt;br/&gt;--&amp;gt;&amp;nbsp;With my previous modifications I have noticed, that /trialduration = 2500 would not include the timing of /error message, which lasts 400 ms, so it with errorr msg it exceeds initial 45 min.&lt;br/&gt;--&amp;gt;&amp;nbsp;I have also tried with adding a /correct message which would last 400 ms and be simply a blank screen (and steal these 400 ms from trialduration to still fit into 45 min), however then I do not get any error message once there is 'no key response' by user (which also is an incorrect answer). &lt;br/&gt;&lt;br/&gt;After all this, I have modified the code for all trials to look as the one below, [unfortunately without timeout 1700 ms], which shows /error message for both [incorrect AND no response]. For no responses (so when the script runs without any keyboard reaction) numbers add up to have 2500ms, however when a response is made, I subtract the recorded script.elapsedtime and the numbers are simply not adding up, so I do not reach 45 min, but more.&lt;br/&gt;&lt;br/&gt;&amp;lt;trial redcongruent&amp;gt; &lt;br/&gt;/ontrialbegin = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.congruency = 1;&lt;br/&gt;]&lt;br/&gt;/ pretrialpause = 0&lt;br/&gt;/ stimulustimes = [1=redcongruent, redreminder, greenreminder, bluereminder, blackreminder]&lt;br/&gt;/ correctresponse = ("d")&lt;br/&gt;/ validresponse = ("d", "f", "j", "k")&lt;br/&gt;&lt;strong&gt;/ errormessage = true(x, 0)&lt;/strong&gt;&lt;br/&gt;/ posttrialpause = 400&lt;br/&gt;&lt;strong&gt;/ trialduration = 2500&lt;/strong&gt;&lt;br/&gt;/ontrialend = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.responses.insertitem(trial.redcongruent.correct, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.responses_congruent.insertitem(trial.redcongruent.correct, 1);&lt;br/&gt;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.redcongruent.correct) {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.latencies.insertitem(trial.redcongruent.latency, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;list.latencies_congruent.insertitem(trial.redcongruent.latency, 1);&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;}&lt;br/&gt;]&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;img 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" alt=""&gt;&lt;br/&gt;Any help would be greatly appreciated.&lt;a class="if-quote-goto quote-link" href="#" data-id="34148"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;I'm not sure what your questions are and what the calculations in the spreadsheet screenshot you posted are supposed to convey. Please clarify.</description><pubDate>Tue, 05 Apr 2022 16:56:06 GMT</pubDate><dc:creator>Dave</dc:creator></item></channel></rss>