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State what you already tried to solve the issue. Describe what you were trying to achieve and what went wrong. If you post on the forum, please try to describe your issue in as much detail as possible. To solve issues with PsychoPy, it might be helpful to bring your laptop to the lab session or the help desk. Remember that you cannot break PsychoPy 15, so nothing can go wrong! As always, we will be there to support you should you encounter any problems. Therefore, there will be a number of exercises for you to complete. With PsychoPy, the most important thing will be that you try things out. On the plus side, there will be no additional reading this week! After a longer break or a good night’s sleep, engage with Chapter 12. After a short break, work through Chapter 11. Take your time when working through them! For example, you could start with Chapter 10. There will be a lot of new information in these chapters. You’re going to learn how to set up very simple experiments that involve presenting text and images, and registering keyboard responses. This week’s lab will be an introduction to PsychoPy. While there are some things you need to learn before you can use PsychoPy effectively, don’t worry about this - it’s not that complicated and we are sure you can pick up the necessary skills with some practice. You will be using this software to create your own experiments. All of these tasks were created with PsychoPy, a piece of software developed by Jon Peirce here at the University of Nottingham. I assume you have completed one of the flanker tasks I created for this module and potentially also the repetition priming task for PSGY1002. This week we’ll start to create our own experiments.

E Searching literature - a very brief intro.D.1 Create a group on Teams and add members.45.4 Adding APA7 style to EndNote output style.45.3 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).