1/4/2024 0 Comments Psychopy store correct45.3 Exporting from Google Scholar to EndNote.45.2 Accessing Web of Science and importing a reference.41 Lab report template and marking rubric.37.6 Reporting the results of a Pearson correlation analysis.37.5 The effect size for a Pearson correlation test.37.2 The Pearson correlation test output.37.1 Running the Pearson correlation test.36.7 Reporting the results of a one-sample t-test.34.4 Distributions of participant means vs. sampling distributions.34.3 The basic logic of null hypothesis significance testing (NHST).34.2 Standard normal distribution basics.32.3 Descriptive statistics after screening and cleaning.32.1 Removing participants with missing data.26.2 Comparison of means with and without outlier removal and medians.Step 7: Calculating condition-specific mean RTs (after outlier removal).Step 6: Calculating SDs and thresholds for outlier removal.Step 5: Calculating condition-specific mean RTs (before outlier removal).Step 4: Calculating condition-specific accuracies.Step 3: Removing trials with extreme RTs.Step 2: Calculating the overall accuracy. Step 1: Converting reaction times to milliseconds.25.2 How to get from PsychoPy output to SPSS input.25.1 What we get from PsychoPy and what we need for SPSS.24 The value of reaction times and error rates in psychology.22.8 Relative vs. absolute cell references.22.5 Automatically adjusting column width.22.3 Selecting cells, columns, rows, and spreadsheets.20.3.2 What information is in the columns?.18.4 Copying and pasting routines and components.18.2 PsychoPy processes components from top to bottom.16.2.1 Effect of submitting the formative PsychoPy assignment.16 Lab 6 exercise and formative PsychoPy assignment.15.3 Adding additional information to the output file.12.4 Building a Stroop task from scratch.11.5.2 Compiling, running and quitting an experiment.10.2 Opening, running and saving experiments.10.1.1 Alternatives to installing PsychoPy on your own computer.5.3 Conceptual and operational definitions.5.1 Research producers and research consumers.4.1 Beth Morling’s research methods book.2.7 Disability support and accessibility.2.6 Research participation scheme (RPS).Lights off : checkbox If selected, all lights will be turned off at the end of each routine. Discard previous : checkbox If selected, any previous responses will be ignored (typically this is what you want). Correct answer: button The correct answer, used by Store correct. Store correct : checkbox If selected, a correctness value will be saved in the data file, based on a match with the given correct answer. Events and the response times are saved, with RT being recorded by the button box (not by PsychoPy). Store : (choice of: first, last, all, nothing) Which button events to save in the data file. Using code components, it is possible to turn on and off specific lights within a trial. If selected, the lights above the active buttons will be turned on. This field lets you specify which buttons (None, or some or all of 0 through 7). Responses on non-active buttons are ignored by the box, and never sent to PsychoPy. Active buttons : None, or an integer, list, or tuple of integers 0-7 The ioLabs box lets you specify a set of active buttons. Force end of Routine : checkbox If this is checked, the first response will end the routine. See Defining the onset/duration of components for details. stop : The duration for which the stimulus is presented. start : The time that the stimulus should first appear. The name should contain only letters, numbers and underscores (no punctuation marks or spaces). Properties ¶ name : string Everything in a PsychoPy experiment needs a unique name.
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