Weekly overview

This overview will be continuously updated over the course of the year. There will be up-to-date information for at least the upcoming lab class. Information about lab classes further in the future might be from last year and yet to be updated. I left it there so you have a rough idea about the content of future lab classes. A horizontal line and the comment “Info below is from last year. It has not been updated yet and might change” identifies labs that have not been updated yet.

Lab 1 (w/c 3 Oct)

Content

The aim of the first lab class is to give you an overview of the module and to get you ready for the upcoming lab classes.

Chapter 1 describes who will support your learning and how you will be able to get support outside of the lab classes. This includes the help desk, the Moodle forum, e-mail and Teams chat.

Chapter 2 talks about your weekly lab classes (note: attendance is compulsory and will be monitored) and gives a brief overview of what we will cover in this year. In addition, it describes the workload for this module and provides you with a—slightly tongue-in-cheek—comparison of what was expected of you in school and what will be expected of you at university.

Chapter 3 explains how this module will be assessed (including the research participation scheme or RPS). It also touches upon academic misconduct, extenuating circumstances and support plans.

Chapter 4 focuses on what you need to do to prepare yourselves for the upcoming lab classes. This includes getting access to the core reading and setting up your computer.

Chapter 5 describes your first formative activity. This will involve posting about an interesting psychological study or finding on our Moodle forum.

Learning objectives

  • To learn key facts about this module (Chapters 1 to 3).
  • To get everything set up for the upcoming lab classes (Chapter 4).
  • For the Moodle forum post activity (Chapter 5):
    • To make sure your Moodle access works and you can post to a Moodle forum.
    • To start thinking about psychological research.
    • If you took A-level Psychology, to re-activate knowledge.

To do

Reading:

  • Read the brief preface with its “How to use this book” section.
  • Read Chapters 1 to 5 in the HHG.

Activities:

  • Get ready for the upcoming lab classes (Chapter 4):
    • Get access to Beth Morling’s book (Section 4.1).
    • Get your computer ready and install the relevant software mentioned in Section 4.2.
  • Go to the PSGY1001 Moodle forum and add a post about an interesting psychological study or finding by Friday, 7 October (Chapter 5).

Lab 2 (w/c 10 Oct)

Content

Chapter 7: Chapters 1 to 3 in Beth’s book are an introduction to scientific reasoning. This chapter picks up on the distinction between research producers and consumers and highlights the importance of empiricism. It also discusses the distinction between conceptual and operational definitions.

Chapter 8 describes a formative activity that requires a submission on Moodle. Your task is to design a study investigating Germans’ sense of humour.

Chapter 9 describes your first summative quiz.

Learning objectives

  • To acquire the basic vocabulary necessary to describe and evaluate psychological studies.
  • To demonstrate understanding of this vocabulary in a multiple-choice quiz.
  • To apply this vocabulary when designing a study.
  • To work together as a team.
  • To share documents using Office 365 and to jointly edit documents.

To do

Reading:

  • Read Chapters 7 to 9 in the Hitchhiker’s Guide.
  • Read Chapters 1 to 3 in Beth Morling’s book.

Activities:

  • Complete the summative quiz (Chapter 9). Deadline: Monday, 17 October, noon.
  • Meet with your team and design a study (Chapter 8). Deadline: Wednesday, 19 October, 5pm.

Lab 3 (w/c 17 Oct)

Content

Chapter 11 briefly talks about research ethics. It also includes a link to material that we will use for an activity in the lab class.

Chapter 12 describes a formative activity that will require you to reflect on the reliability and validity of a measurement scale used in an educational psychological setting.

Learning objectives

  • To consider ethical guidelines when conducting research.
  • To learn how to identify good measurement and to apply this knowledge in an activity.

To do

Reading:

  • Read Chapters 11 and 12 in the Hitchhiker’s Guide.
  • Read Chapters 4 and 5 in Beth’s book.

Activities:

  • Complete the identifying good measurement activity (see Chapter 12). Deadline: Monday, 31 October, noon.

w/c 24 Oct

The week commencing 24 October is our careers and activity week. There will be no lab classes in this week.

Lab 4 (w/c 31 Oct)

Content

Chapter 14 is an introduction to experiments. It will give you the opportunity to try out two very simple experiments!

Chapter 15 has a closer look at attrition (participant dropout). It picks up on the role of attrition described in Beth’s book and demonstrates how attrition can be a threat to internal validity under circumstances that are not considered in the book.

Chapter 16 introduces interference tasks. It explains how interference tasks typically have a relevant and an irrelevant dimension. Under certain circumstances, the information conveyed by the irrelevant dimension can conflict with the information conveyed by the relevant dimension. As we are typically unable to fully ignore the irrelevant dimension, participants tend to be slower and make more errors when there is conflict. This is referred to as the interference effect.

Chapter 17 focuses on a particular interference task, the so-called flanker task. You will have the opportunity to read sections of a published research article in the lab class and will be asked to answer a number of questions about the article.

Chapter 18 describes your second summative quiz.

Learning objectives

  • To understand how experiments support causal claims.
  • To learn about different types of experimental designs.
  • To evaluate threats to internal validity.
  • To learn about possible reasons for null effects.
  • To demonstrate understanding of the chapter contents in a multiple-choice quiz.
  • To read an empirical research article and to apply the knowledge from the book chapters when interrogating the article.

To do

Reading:

  • Read Chapters 14 to 16 in the Hitchhiker’s Guide.
  • Read Chapters 10, 11 and 14 in Beth’s book.

Activities:

  • In the lab class: Read Chapter 17 and the article by Avital-Cohen and Tsal to complete the activity.
  • After the lab class: Complete the summative quiz (see Chapter 18). Deadline: Monday, 7 November, noon.

Lab 5 (w/c 7 Nov)

Content

Chapter 20 explains how to open, run and save PsychoPy experiments.

Chapter 21 explains the PsychoPy Builder window and its parts: the components panel, the routines panel, the flow panel and the toolbar. It also explains how to quit a running experiment.

Chapter 22 explains the most relevant PsychoPy components and their main properties in more detail. It focuses on the Text component, the Image component and the Keyboard component.

Learning objectives

  • Learn PsychoPy basics:
    • Learn how to open, run and save PsychoPy experiments.
    • Understand the role of components, routines and the flow in the Builder view.
    • Know the main properties of Text, Image and Keyboard components.
  • Apply your knowledge when completing the exercises.

To do

Reading:

  • Read Chapters 20 to 22 in the HHG.

Activities:

  • In the lab class: Complete the exercises.

Lab 6 (w/c 14 Nov)

Content

Chapter 25 explains input file basics and how to use PsychoPy loops to update information from one trial to the next.

Chapter 26 shows that input files can be used to define stimuli, to determine the accuracy of responses and to add relevant information to PsychoPy output files.

Learning objectives

  • To learn how to use loops and input files in PsychoPy.
  • To apply this knowledge when completing the Lab 6 exercise and the formative PsychoPy assignment.

To do

Reading:

  • Read Chapters 25 and 26 in the HHG.

Activities:

Lab 7 (w/c 21 Nov)

Content

Chapter 30 explains how to give accuracy feedback using PsychoPy.

Chapter 31 explains various miscellaneous bits of information about PsychoPy. These are: the order in which PsychoPy processes components, how to skip routines, and how to copy and paste routines and components. It also describes how to access the demo experiments that come with PsychoPy.

Learning objectives

  • To learn how to give feedback in PsychoPy.
  • To apply this knowledge when completing the exercise.

To do

Reading:

  • Read Chapters 30 and 31 in the HHG.

Activities:

Lab 8 (w/c 28 Nov)

Content

Chapter 35 covers PsychoPy output files. We will focus on where these output files are stored, how they get their file name, and what is stored in the rows and columns.

Learning objectives

  • To create a choice response task.
  • To understand PsychoPy output files.

To do

Reading:

  • Read Chapter 35 in the HHG. (You do not need to read this before the lab class.)

Activities:

  • In the lab class: Complete the Lab 8 exercise and read Chapter 35 while looking at the output file created when running the Lab 8 exercise task.
  • After the lab class: Complete the summative PsychoPy assignment (see Chapter 36).

Lab 9 (w/c 5 Dec)

Content

Chapter 38 is an introduction to using Excel.

Chapter 39 introduces Excel formulas and some Excel functions that are relevant for us.

Learning objectives

  • To learn Excel basics.
  • To learn how to use Excel formulas and functions.

To do

Reading:

  • Read Chapters 38 and 39 in the HHG. (You do not need to read these before the lab class.)

Activities:

  • Treat Chapters 38 and 39 as a continuous exercise and try out everything that is new to you.

Lab 10 (w/c 12 Dec)

Content

Chapter 41 explains the rationale behind data preprocessing.

Chapter 42 shows how to preprocess PsychoPy output files with Excel. It explains how to remove trials with extreme RTs, incorrect trials and trials with outlier RTs.

For those interested, Chapter 43 shows how to preprocess PsychoPy output files with R.

Learning objectives

  • To learn how to use Excel to analyse a PsychoPy output file, including:
    • Removal of trials with extreme RTs.
    • Removal of incorrect trials.
    • Removal of trials with outlier RTs.
  • To learn how to calculate means, medians and standard deviations using Excel.

To do

Reading:

  • Read Chapters 41 and 42 in the HHG.

Activities:

  • Analyse incongruent trials in the PsychoPy output file available in Chapter 42.


This completes the labs for this semester, but keep in mind: PSGY1001 Rogo/ExamSys exam on 23 January, 1.30pm

Lab 11 (w/c 30 Jan)

Content

Chapter 46 is an introduction to SPSS. Among other things, it introduces SPSS file types, explains how to get data into SPSS and how to compute new variables in SPSS. It also mentions some free alternatives to SPSS.

Chapter 47 covers some steps that should be completed before calculating descriptive or inferential statistics using SPSS. Specifically, it describes how to check measurement levels and how to define missing values.

Learning objectives

  • To learn some SPSS basics, including:
    • Getting data into SPSS.
    • Computing new variables.
  • To learn about SPSS alternatives.
  • To learn how to:
    • Check measurement levels.
    • Define missing values.
    • Add variable and value labels.

To do

Reading:

  • Read Chapters 46 and 47 in the Hitchhiker’s Guide. (You do not need to read these chapters before the lab class.)

Activities:

  • In the lab class (see Lab 11 exercises):
    • Calculate the RT interference effect for the Stroop task.
    • Critically reflect on measurement levels after importing data.
  • After the lab class: If necessary, catch up on the Excel material from Labs 9 and 10. Note that there will be a summative quiz on this material next week!

Lab 12 (w/c 6 Feb)

Content

Chapter 50 focuses on categorical data, including selecting and sorting variables, calculating descriptive statistics for categorical data and recoding variables.

Chapter 51 focuses on continuous data, including calculating descriptive statistics for continuous data, boxplots and removing participants.

Learning objectives

To learn how to:

  • Use Frequencies in SPSS to screen data and to compute descriptive statistics.
  • Recode variables.
  • Use boxplots to identify outliers.
  • Remove and filter participants.

To do

Reading:

  • Read Chapters 50 and 51 in the Hitchhiker’s Guide. (You do not need to read these chapters before the lab class.)

Activities:

  • In the lab class (see Lab 12 exercises):
    • Recode variables.
    • Calculate descriptive statistics for continuous data.
  • After the lab class: Complete Quiz 3. Deadline: Thursday, 16 February, noon.

Lab 13 (w/c 13 Feb)

Content

Chapter 55 is an introduction to inferential statistics.

Chapter 56 covers how to run, interpret and report one-sample t-tests.

Learning objectives

Learn how to…

  • Run and interpret a one-sample t-test using SPSS.
  • Report the results of a one-sample t-test.

To do

Reading:

  • Before the lab class: Read Chapter 55 in the Hitchhiker’s Guide. We will not cover this chapter in the lab class and will assume that you are familiar with this material.
  • After the lab class: Go over Chapter 56 again to make sure you understand what we covered in the lab. In addition, read the parts we did not talk about in the lab and follow some of the links we added to this chapter to deepen your understanding.

Activities:

  • In the lab class:
    • Run a one-sample t-test using SPSS.
    • Compute a one-sample t-test step by step (see Lab 13 exercise).

w/c 20 Feb

The week commencing 20 February is our reading week. There will be no lab classes in this week.

Lab 14 (w/c 27 Feb)

Content

Chapter 59 covers how to run, interpret and report a Pearson correlation test.

Learning objectives

Learn how to…

  • Run and interpret a Pearson correlation test using SPSS.
  • Report the results of a Pearson correlation test.

To do

Reading:

  • After the lab class: Go over Chapter 59 again to make sure you understand what we covered in the lab.

Activities:

  • In the lab class:
    • Run a Pearson correlation test using SPSS.
    • Compute a Pearson correlation test step by step (see Lab 14 exercise).
  • After the lab class: Complete the Excel/SPSS data analysis quiz. Deadline: Thursday, 9 March, noon.

Lab 15 (w/c 6 Mar)

Content

Chapter 63 is an introduction to writing lab reports.

Learning objectives

Learn how to structure and write a lab report.

To do

Apart from attending the lab class, nothing.

Lab 16 (w/c 13 Mar)

Content

Chapter 65 introduces the lab report template and the lab report marking rubric.

Learning objectives

  • To familiarise yourself with the lab report template and the marking rubric.
  • To learn how to structure an introduction section.

To do

Activities:

Lab 17 (w/c 20 Mar)

Content

There will be no new content this week to allow to focus on the formative lab report. In the lab class, we will answer questions about the formative lab report and complete an activity focusing on discussion sections.

To do

Activities:

Lab 18 (w/c 27 Mar)

Content

In Chapter 72, we’re showing you how to create bar charts using Excel and SPSS.

In the lab class, you will have the opportunity to practise APA referencing.

Learning objectives

  • To learn how to create a bar charts using Excel and SPSS.
  • To practise APA referencing.

To do

  • In your own time: Read Chapter 72 about creating charts and watch the accompanying videos.
  • In the lab class: Practise APA referencing.
  • After 30 March, 1pm: Start working on the summative lab report. Deadline: Tuesday, 16 May, noon.

Lab 19 (w/c 1 May)

Content

Formative lab report feedback (see Chapter 76).

Learning objectives

Learn about commonly identified issues in the formative lab reports and how to address these.

To do

Attend the lab class.

Lab 20 (w/c 8 May)

Content

Chapter 78 provides you with examples of past formative lab reports.

Learning objectives

  • See how other students wrote their formative lab reports.
  • Attempt to mark lab reports.
  • Critically reflect on your own formative lab report by comparing it to other lab reports.

To do

  • In the lab class: Mark two lab reports.
  • After the lab class: Compare your formative lab report to the better examples and think about ways in which your formative lab report could have been improved. Attempt to apply insights gained to your summative lab report.