Yes. For a go/nogo paradigm, you'll want to set up a bunch of <values> and <expressions> to track the metrics of interest (number of responses, number of correct responses, mean latency for trials where a response occurred). You can then report those statistics back to the participant via a <page> or <trial> element. Basic example:
<values>
/ sumlatency = 0
/ nresponses = 0
/ ncorrect = 0
/ ntrials = 0
</values>
<expressions>
/ meanlat = (values.sumlatency/values.nresponses)
/ pctcorrect = (values.ncorrect/values.ntrials)*100
</expressions>
<expt>
/ postinstructions = (performance)
/ blocks = [1=myblock]
</expt>
<block myblock>
/ trials = [1-12 = noreplace(go, nogo, nogo)]
</block>
<trial go>
/ ontrialend = [if (trial.go.response != 0) {values.sumlatency += trial.go.latency; values.nresponses += 1;};]
/ ontrialend = [values.ncorrect += trial.go.correct]
/ ontrialend = [values.ntrials += 1]
/ stimulusframes = [1=gotxt]
/ validresponse = (57, 0)
/ correctresponse = (57)
/ timeout = 2000
</trial>
<trial nogo>
/ ontrialend = [if (trial.nogo.response != 0) {values.sumlatency += trial.go.latency; values.nresponses += 1;};]
/ ontrialend = [values.ncorrect += trial.nogo.correct]
/ ontrialend = [values.ntrials += 1]
/ stimulusframes = [1=nogotxt]
/ validresponse = (57, 0)
/ correctresponse = (0)
/ timeout = 2000
</trial>
<text gotxt>
/ items = ("RESPOND!")
/ txcolor = green
</text>
<text nogotxt>
/ items = ("Do NOT respond.")
/ txcolor = red
</text>
<page performance>
^Your mean RT was <%expressions.meanlat%> ms.
^You responded correctly in <%expressions.pctcorrect%> % of all trials.
</page>