﻿<?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 6  » Multipliers and Feedback Response</title><generator>InstantForum 2017-1 Final</generator><description>Millisecond Forums</description><link>https://forums.millisecond.com/</link><webMaster>Millisecond Forums</webMaster><lastBuildDate>Sun, 08 Mar 2026 10:35:40 GMT</lastBuildDate><ttl>20</ttl><item><title>RE: Multipliers and Feedback Response</title><link>https://forums.millisecond.com/Topic35545.aspx</link><description>&lt;blockquote data-id="35544" class="if-quote-wrapper" unselectable="on" data-guid="1690207507193" id="if_insertedNode_1690207505869" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35544" 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="35544" 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="35544" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;raven - 7/24/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35544"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;Hi Dave,&lt;br/&gt;&lt;br/&gt;Thanks for your reply.&lt;br/&gt;&lt;br/&gt;I'm not sure how to do that other than using the if/else conditional statements.&lt;br/&gt;&lt;br/&gt;Would you be able to give an example showing how I could set&amp;nbsp;values.acc on the basis of the multiplier value in this instance?&lt;br/&gt;&lt;br/&gt;&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35544"&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;Well, yes, of course you use if else statements, no different than those you already have. I'm having trouble understanding where the hang-up is.&lt;br/&gt;&lt;br/&gt;You have the multiplier in values.multiplier. If it's less than 0, set values.acc to "Incorrect". Otherwise set it to "Correct".&lt;br/&gt;&lt;br/&gt;[code]&amp;lt;trial trial1&amp;gt;&lt;br/&gt;/ ontrialbegin = [    &lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.n += 1;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.multiplier = list.prob.nextvalue;&lt;br/&gt;]&lt;br/&gt;/ ontrialend = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.ncorrect += trial.trial1.correct;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.trial1.correct) {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.score += values.multiplier * 10;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.diff = 0;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.diff = values.multiplier * 10;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (values.multiplier &amp;lt; 0) {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.acc = "Incorrect";&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;} else {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.acc = "Correct";&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;};&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;}&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;else {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.score += values.multiplier * 5;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.diff = 0;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.diff += values.multiplier * 5;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.acc = "Incorrect";&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;};&lt;br/&gt;]&lt;br/&gt;/ stimulusframes = [1=stim, score]&lt;br/&gt;/ inputdevice = keyboard&lt;br/&gt;/ validresponse = ("z", "x")&lt;br/&gt;/ correctresponse = ("z")&lt;br/&gt;/ branch = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;return trial.feedback;&lt;br/&gt;]&lt;br/&gt;&amp;lt;/trial&amp;gt;[/code]</description><pubDate>Mon, 24 Jul 2023 14:24:48 GMT</pubDate><dc:creator>Dave</dc:creator></item><item><title>RE: Multipliers and Feedback Response</title><link>https://forums.millisecond.com/Topic35546.aspx</link><description>Thanks Dave, you've pointed me in the right direction, using nested if/else statements makes sense.&lt;br/&gt;&lt;br/&gt;I will check the support docs for further details on nested expressions.&lt;br/&gt;&lt;br/&gt;Much appreciated!&amp;nbsp;&lt;span id="if_insertedNode_1690208479145"&gt;:)&lt;/span&gt;</description><pubDate>Mon, 24 Jul 2023 14:21:39 GMT</pubDate><dc:creator>raven</dc:creator></item><item><title>Multipliers and Feedback Response</title><link>https://forums.millisecond.com/Topic35542.aspx</link><description>Hi Dave,&lt;br/&gt;&lt;br/&gt;I would really appreciate if you can help me solve the following issue with my script.&lt;br/&gt;&lt;br/&gt;It uses a list of multipliers at / items = (1, 1, -1)&amp;nbsp;to set probabilities for the score to go up or down. However, it says "Guess was &lt;strong&gt;Correct&lt;/strong&gt;" in the feedback screen after a trial had a multiplier of -1, but I want it to say "Guess was &lt;strong&gt;Incorrect&lt;/strong&gt;" for -1 multipliers and "Guess was &lt;strong&gt;Correct&lt;/strong&gt;" for +1 multipliers.&lt;br/&gt;&lt;br/&gt;It reports the difference in the feedback screen correctly, so that's not an issue.&lt;br/&gt;&lt;br/&gt;I've tried to add &amp;amp;&amp;amp; values.multiplier = 1 to the condition in the first line of /ontrialend, so it becomes:&amp;nbsp; if (trial.trial1.correct &amp;amp;&amp;amp; values.multiplier =1),&amp;nbsp;but that doesn't seem to resolve the issue either.&lt;br/&gt;&lt;br/&gt;The script is as follows:&lt;br/&gt;&lt;br/&gt;&amp;lt;values&amp;gt;&lt;br/&gt;/ score = 0&lt;br/&gt;/ multiplier = 0&lt;br/&gt;/ diff = 0&lt;br/&gt;/ acc = ""&lt;br/&gt;/ ncorrect = 0&lt;br/&gt;/ n = 0&lt;br/&gt;/ cx = 50%&lt;br/&gt;&amp;lt;/values&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;list prob&amp;gt;&lt;br/&gt;/ items = (1, 1, -1)&lt;br/&gt;/ selectionmode = random&lt;br/&gt;/ replace = true&lt;br/&gt;&amp;lt;/list&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial trial1&amp;gt;&lt;br/&gt;/ ontrialbegin = [&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.n += 1;&lt;br/&gt;&amp;nbsp; values.ncorrect += trial.trial1.correct;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.multiplier = list.prob.nextvalue;&lt;br/&gt;]&lt;br/&gt;/ ontrialend = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.trial1.correct) {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.multiplier = list.prob.nextvalue;&lt;br/&gt;&amp;nbsp;&amp;nbsp;  values.score += values.multiplier * 10;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.diff = 0;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.diff = values.multiplier * 10;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.acc = "Correct";&lt;br/&gt;&amp;nbsp; }&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;else {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.score += values.multiplier * 5;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.diff = 0;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.diff += values.multiplier * 5;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.acc = "Incorrect";&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;}&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;]&lt;br/&gt;/ stimulusframes = [1=stim, score]&lt;br/&gt;/ inputdevice = keyboard&lt;br/&gt;/ validresponse = ("z", "x")&lt;br/&gt;/ correctresponse = ("z")&lt;br/&gt;/ branch = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;{&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;trial.feedback&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;br/&gt;&amp;lt;text stim&amp;gt;&lt;br/&gt;/ items = ("A", "E", "I", "O", "U")&lt;br/&gt;/ hposition = values.cx&lt;br/&gt;&amp;lt;/text&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;list x&amp;gt;&lt;br/&gt;/ items = (50%)&lt;br/&gt;/ selectionrate = always &lt;br/&gt;&amp;lt;/list&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial feedback&amp;gt;&lt;br/&gt;/ stimulusframes = [1=clearscreen, fb, score, diff, acc]&lt;br/&gt;/ timeout = 3500&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;text fb&amp;gt;&lt;br/&gt;/ items = ("Performance: &amp;lt;%values.ncorrect%&amp;gt; out of &amp;lt;%values.n%&amp;gt; trials correct.")&lt;br/&gt;/ fontstyle = ("Arial", 21pt, true)&lt;br/&gt;/ size = (80%, 10%)&lt;br/&gt;/ erase = false&lt;br/&gt;/ position = (50%, 85%)&lt;br/&gt;&amp;lt;/text&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;text diff&amp;gt;&lt;br/&gt;/ items = ("Score changed by: &amp;lt;%values.diff%&amp;gt;")&lt;br/&gt;/ fontstyle = ("Arial", 21pt, true)&lt;br/&gt;/ position = (50%, 50%)&lt;br/&gt;&amp;lt;/text&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;text acc&amp;gt;&lt;br/&gt;/ items = ("Guess was: &amp;lt;%values.acc%&amp;gt;")&lt;br/&gt;/ fontstyle = ("Arial", 21pt, true)&lt;br/&gt;/ color = black&lt;br/&gt;/ size = (80%, 20%)&lt;br/&gt;/ position = (50%, 35%)&lt;br/&gt;&amp;lt;/text&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;text score&amp;gt;&lt;br/&gt;/ items = ("Score: &amp;lt;%values.score%&amp;gt;")&lt;br/&gt;/ fontstyle = ("Arial", 21pt, true)&lt;br/&gt;/ size = (80%, 20%)&lt;br/&gt;/ erase = false&lt;br/&gt;/ position = (50%, 75%)&lt;br/&gt;&amp;lt;/text&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;block start&amp;gt;&lt;br/&gt;/ trials = [1-30 = trial1]&lt;br/&gt;&amp;lt;/block&amp;gt;&lt;br/&gt;&lt;br/&gt;Your help will be much appreciated!&lt;br/&gt;</description><pubDate>Mon, 24 Jul 2023 14:21:39 GMT</pubDate><dc:creator>raven</dc:creator></item><item><title>RE: Multipliers and Feedback Response</title><link>https://forums.millisecond.com/Topic35544.aspx</link><description>Hi Dave,&lt;br/&gt;&lt;br/&gt;Thanks for your reply.&lt;br/&gt;&lt;br/&gt;I'm not sure how to do that other than using the if/else conditional statements.&lt;br/&gt;&lt;br/&gt;Would you be able to give an example showing how I could set&amp;nbsp;values.acc on the basis of the multiplier value in this instance?&lt;br/&gt;&lt;br/&gt;&lt;br/&gt;</description><pubDate>Mon, 24 Jul 2023 14:00:50 GMT</pubDate><dc:creator>raven</dc:creator></item><item><title>RE: Multipliers and Feedback Response</title><link>https://forums.millisecond.com/Topic35543.aspx</link><description>&lt;blockquote data-id="35542" class="if-quote-wrapper" unselectable="on" data-guid="1690198532568" id="if_insertedNode_1690198531528" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35542" 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="35542" 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="35542" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;raven - 7/24/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35542"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;Hi Dave,&lt;br/&gt;&lt;br/&gt;I would really appreciate if you can help me solve the following issue with my script.&lt;br/&gt;&lt;br/&gt;It uses a list of multipliers at / items = (1, 1, -1)&amp;nbsp;to set probabilities for the score to go up or down. However, it says "Guess was &lt;strong&gt;Correct&lt;/strong&gt;" in the feedback screen after a trial had a multiplier of -1, but I want it to say "Guess was &lt;strong&gt;Incorrect&lt;/strong&gt;" for -1 multipliers and "Guess was &lt;strong&gt;Correct&lt;/strong&gt;" for +1 multipliers.&lt;br/&gt;&lt;br/&gt;It reports the difference in the feedback screen correctly, so that's not an issue.&lt;br/&gt;&lt;br/&gt;I've tried to add &amp;amp;&amp;amp; values.multiplier = 1 to the condition in the first line of /ontrialend, so it becomes:&amp;nbsp; if (trial.trial1.correct &amp;amp;&amp;amp; values.multiplier =1),&amp;nbsp;but that doesn't seem to resolve the issue either.&lt;br/&gt;&lt;br/&gt;The script is as follows:&lt;br/&gt;&lt;br/&gt;&amp;lt;values&amp;gt;&lt;br/&gt;/ score = 0&lt;br/&gt;/ multiplier = 0&lt;br/&gt;/ diff = 0&lt;br/&gt;/ acc = ""&lt;br/&gt;/ ncorrect = 0&lt;br/&gt;/ n = 0&lt;br/&gt;/ cx = 50%&lt;br/&gt;&amp;lt;/values&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;list prob&amp;gt;&lt;br/&gt;/ items = (1, 1, -1)&lt;br/&gt;/ selectionmode = random&lt;br/&gt;/ replace = true&lt;br/&gt;&amp;lt;/list&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial trial1&amp;gt;&lt;br/&gt;/ ontrialbegin = [&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.n += 1;&lt;br/&gt;&amp;nbsp; values.ncorrect += trial.trial1.correct;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.multiplier = list.prob.nextvalue;&lt;br/&gt;]&lt;br/&gt;/ ontrialend = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.trial1.correct) {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.multiplier = list.prob.nextvalue;&lt;br/&gt;&amp;nbsp;&amp;nbsp;  values.score += values.multiplier * 10;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.diff = 0;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.diff = values.multiplier * 10;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.acc = "Correct";&lt;br/&gt;&amp;nbsp; }&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;else {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.score += values.multiplier * 5;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.diff = 0;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.diff += values.multiplier * 5;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;values.acc = "Incorrect";&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;}&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;]&lt;br/&gt;/ stimulusframes = [1=stim, score]&lt;br/&gt;/ inputdevice = keyboard&lt;br/&gt;/ validresponse = ("z", "x")&lt;br/&gt;/ correctresponse = ("z")&lt;br/&gt;/ branch = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;{&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;trial.feedback&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;br/&gt;&amp;lt;text stim&amp;gt;&lt;br/&gt;/ items = ("A", "E", "I", "O", "U")&lt;br/&gt;/ hposition = values.cx&lt;br/&gt;&amp;lt;/text&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;list x&amp;gt;&lt;br/&gt;/ items = (50%)&lt;br/&gt;/ selectionrate = always &lt;br/&gt;&amp;lt;/list&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial feedback&amp;gt;&lt;br/&gt;/ stimulusframes = [1=clearscreen, fb, score, diff, acc]&lt;br/&gt;/ timeout = 3500&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;text fb&amp;gt;&lt;br/&gt;/ items = ("Performance: &amp;lt;%values.ncorrect%&amp;gt; out of &amp;lt;%values.n%&amp;gt; trials correct.")&lt;br/&gt;/ fontstyle = ("Arial", 21pt, true)&lt;br/&gt;/ size = (80%, 10%)&lt;br/&gt;/ erase = false&lt;br/&gt;/ position = (50%, 85%)&lt;br/&gt;&amp;lt;/text&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;text diff&amp;gt;&lt;br/&gt;/ items = ("Score changed by: &amp;lt;%values.diff%&amp;gt;")&lt;br/&gt;/ fontstyle = ("Arial", 21pt, true)&lt;br/&gt;/ position = (50%, 50%)&lt;br/&gt;&amp;lt;/text&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;text acc&amp;gt;&lt;br/&gt;/ items = ("Guess was: &amp;lt;%values.acc%&amp;gt;")&lt;br/&gt;/ fontstyle = ("Arial", 21pt, true)&lt;br/&gt;/ color = black&lt;br/&gt;/ size = (80%, 20%)&lt;br/&gt;/ position = (50%, 35%)&lt;br/&gt;&amp;lt;/text&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;text score&amp;gt;&lt;br/&gt;/ items = ("Score: &amp;lt;%values.score%&amp;gt;")&lt;br/&gt;/ fontstyle = ("Arial", 21pt, true)&lt;br/&gt;/ size = (80%, 20%)&lt;br/&gt;/ erase = false&lt;br/&gt;/ position = (50%, 75%)&lt;br/&gt;&amp;lt;/text&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;block start&amp;gt;&lt;br/&gt;/ trials = [1-30 = trial1]&lt;br/&gt;&amp;lt;/block&amp;gt;&lt;br/&gt;&lt;br/&gt;Your help will be much appreciated!&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35542"&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;Oviously, this makes no sense if what you want is the feedback saying correct for positive and incorrect for negative multipliers&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;so that's what you need to change. Set values.acc on the basis of the multiplier value, not on the basis of the trial's correct property.</description><pubDate>Mon, 24 Jul 2023 11:37:56 GMT</pubDate><dc:creator>Dave</dc:creator></item></channel></rss>