Download Psych/Lab 2.1 here. This has been tested with PsychoPy version 1.85.2 and might not work with other versions. (After installing PsychoPy, in the PsychoPy preferences, on the General tab, change the window type to pyglet.)
Learn how to use PsychoPy with our Simon Effect tutorial. This version was designed for PsychoPy 1.85.2.
Data analysis in Excel
It is fairly easy to analyze data from all of the Psych/Lab programs in Excel. The most efficient way to do that is through the use of Pivot tables, which are explained here.
Double-click on the *.CSV data file created by the experiment program.
In many experiments the initial rows will contain practice trials. Delete those (but don’t delete the labels in the first row).
Highlight the entire table (by clicking on the box above and to the left of cell A1).
Select the INSERT tab. Click PIVOT TABLE, then click OK.
In the pivot table field list:
1. Drag condition to the column labels box.
2. Drag keyresponse.rt to the values box.
3. Drag keyresponse.rt to the values box again.
4. In the values box, click one of the keyresponse.rt entries and change the value field setting to Average.
5. Drag the Σ Values from the Column labels box to the row labels box
6. Drag keyresponse.corr to the report filter box.
7. At the top of the pivot table, select the drop-down menu for the keyreponse.corr filter and select the value 1 (these will include only correct trials in the table).
Experiment by adding additional experiment design variables to either the column labels or row labels boxes. This will allow you to view means of your dependent variable separately for different levels of some of those factors.