• PSGY1001
  • Introduction
    • How to use this book
  • 1 Weekly overview
    • Lab 1 (w/c 4 Oct)
    • Lab 2 (w/c 11 Oct)
    • Lab 3 (w/c 18 Oct)
    • Lab 4 (w/c 25 Oct)
    • Lab 5 (w/c 1 Nov)
    • w/c 8 Nov
    • Lab 6 (w/c 15 Nov)
    • Lab 7 (w/c 22 Nov)
    • Lab 8 (w/c 29 Nov)
    • Lab 9 (w/c 6 Dec)
    • Lab 10 (w/c 13 Dec)
    • Lab 11 (w/c 31 Jan)
    • Lab 12 (w/c 7 Feb)
    • Lab 13 (w/c 14 Feb)
    • w/c 21 Feb
    • Lab 14 (w/c 28 Feb)
    • Lab 15 (w/c 7 Mar)
    • Lab 16 (w/c 14 Mar)
    • Lab 17 (w/c 21 Mar)
    • Lab 18 (w/c 28 Mar)
    • Lab 19 (w/c 4 Apr)
    • w/c 11 Apr
    • Lab 20 (w/c 2 May)
  • 2 PSGY1001: Key facts
    • 2.1 Lecturers and demonstrators
    • 2.2 Module content
    • 2.3 Workload
    • 2.4 In-person and online support
      • 2.4.1 The lab meetings
      • 2.4.2 The help desk
      • 2.4.3 The Moodle page and forum
      • 2.4.4 E-mail and personal Teams chat
      • 2.4.5 IT support
    • 2.5 Assessment
      • 2.5.1 The Rogo exam
    • 2.6 Research participation scheme (RPS)
    • 2.7 Disability support and accessibility
    • 2.8 Extenuating circumstances
      • 2.8.1 Summative assignments
      • 2.8.2 Formative assignments
    • 2.9 School vs uni
  • 3 TV shows data exploration
  • 4 Getting started
    • 4.1 Beth Morling’s research methods book
    • 4.2 Computer setup
      • 4.2.1 General computer setup
      • 4.2.2 Software to install
      • 4.2.3 OneDrive
      • 4.2.4 Note-taking
    • 4.3 Moodle forums
    • 4.4 Your first lab Moodle forum post
    • 4.5 Your first study
  • 5 Scientific reasoning
    • 5.1 Research producers and research consumers
    • 5.2 Empiricism
    • 5.3 Conceptual and operational definitions
    • 5.4 Quiz 1
      • 5.4.1 Quiz FAQs
    • 5.5 Lab 2 Padlet
  • 6 Design a study
    • 6.1 Introduction
    • 6.2 Your task
    • 6.3 Meet your team
    • 6.4 Examples of German humour
    • 6.5 Humour study design outcomes
  • 7 Ethics and good measurement
    • 7.1 Ethical guidelines
    • 7.2 Identifying good measurement
    • 7.3 Your first study, Part II
    • 7.4 Lab 3 Padlet
  • 8 Experiments
    • 8.1 Quiz 2
    • 8.2 Lab 4 Padlet
  • 9 Interference tasks
    • 9.1 Introduction
    • 9.2 Read the research activity
  • PsychoPy
  • 10 PsychoPy basics
    • 10.1 Installing PsychoPy
      • 10.1.1 Alternatives to installing PsychoPy on your own computer
    • 10.2 Opening, running and saving experiments
      • 10.2.1 Opening an experiment
      • 10.2.2 Running an experiment
      • 10.2.3 Saving an experiment
  • 11 The Builder and its parts
    • 11.1 Components
    • 11.2 Routines
    • 11.3 Naming components and routines
    • 11.4 The flow
    • 11.5 The toolbar
      • 11.5.1 Monitor and experiment settings
      • 11.5.2 Compiling, running and quitting an experiment
  • 12 Components and their properties
    • 12.1 Text component
    • 12.2 Image component
    • 12.3 Keyboard component
    • 12.4 Building a Stroop task from scratch
    • 12.5 Lab 5 Padlet
  • 13 Lab 5 exercises
    • 13.1 Exercise 1
    • 13.2 Exercise 2
    • 13.3 Exercise 3
    • 13.4 Challenge exercises
      • 13.4.1 Exercises 1 and 2
      • 13.4.2 Exercise 3
  • 14 Beyond the single trial
    • 14.1 Input file basics
    • 14.2 PsychoPy loops
      • 14.2.1 Loop properties
      • 14.2.2 Adding and removing a loop
  • 15 Using information from input files
    • 15.1 Defining a stimulus
    • 15.2 Determining a correct response
    • 15.3 Adding additional information to the output file
    • 15.4 Lab 6 Padlet
  • 16 Lab 6 exercise and formative PsychoPy assignment
    • 16.1 Lab 6 exercise
    • 16.2 Formative PsychoPy assignment
      • 16.2.1 Effect of submitting the formative PsychoPy assignment
    • 16.3 Lab 6 challenge exercise
    • 16.4 Quick survey
  • 17 Giving feedback
  • 18 Miscellenea
    • 18.1 Colour picker
    • 18.2 PsychoPy processes components from top to bottom
    • 18.3 Skipping routines
    • 18.4 Copying and pasting routines and components
    • 18.5 PsychoPy demos
    • 18.6 Lab 7 Padlet
  • 19 Lab 7 exercise
  • 20 PsychoPy output files
    • 20.1 Location of output files
    • 20.2 The output file name
    • 20.3 File content
      • 20.3.1 What are the rows?
      • 20.3.2 What information is in the columns?
    • 20.4 Lab 8 Padlet
  • 21 Summative PsychoPy assignment
  • Data preprocessing
  • 22 Excel basics
    • 22.1 Columns, rows, and cells
    • 22.2 Cut, copy, and paste
    • 22.3 Selecting cells, columns, rows, and spreadsheets
    • 22.4 Deleting cells, rows or columns
    • 22.5 Automatically adjusting column width
    • 22.6 Sorting data
    • 22.7 Data formats
    • 22.8 Relative vs. absolute cell references
  • 23 Excel formulas and functions
    • 23.1 Formulas
      • 23.1.1 Basic arithmetic operators
    • 23.2 Functions
      • 23.2.1 IF
      • 23.2.2 SUM
      • 23.2.3 AVERAGE
      • 23.2.4 Other functions
    • 23.3 Copying formulas
    • 23.4 Lab 9 Padlet
  • 24 The value of reaction times and error rates in psychology
  • 25 Introduction to data preprocessing
    • 25.1 What we get from PsychoPy and what we need for SPSS
    • 25.2 How to get from PsychoPy output to SPSS input
  • 26 Data preprocessing with Excel
    • Step 1: Converting reaction times to milliseconds
    • Step 2: Calculating the overall accuracy
    • Step 3: Removing trials with extreme RTs
    • Step 4: Calculating condition-specific accuracies
    • Step 5: Calculating condition-specific mean RTs (before outlier removal)
    • Step 6: Calculating SDs and thresholds for outlier removal
    • Step 7: Calculating condition-specific mean RTs (after outlier removal)
    • 26.1 Calculating medians
    • 26.2 Comparison of means with and without outlier removal and medians
    • 26.3 Evaluation
    • 26.4 Lab 10 Padlet
  • 27 Data preprocessing with R
  • SPSS
  • 28 SPSS basics
    • 28.1 Installing SPSS
    • 28.2 Introduction to SPSS
    • 28.3 Getting help with SPSS
    • 28.4 Types of files
    • 28.5 Types of windows
    • 28.6 Getting data into SPSS
      • 28.6.1 Importing data
      • 28.6.2 Entering data
      • 28.6.3 Opening existing data
    • 28.7 Computing new variables
    • 28.8 Free SPSS alternatives
    • 28.9 SPSS basics exercise
  • 29 Intro to descriptive statistics
    • 29.1 Checking the level of measurement
    • 29.2 Lab 12 Exercise 1
    • 29.3 Defining missing values
  • 30 Descriptives for categorical data
    • 30.1 Lab 12 Exercise 2
  • 31 Descriptives for continuous data
  • 32 Descriptive statistics - next steps
    • 32.1 Removing participants with missing data
    • 32.2 Adding variable and value labels
    • 32.3 Descriptive statistics after screening and cleaning
    • 32.4 Lab 12 Exercise 3
  • 33 The Excel quiz
    • 33.1 Excel quiz walkthrough
  • 34 Intro to inferential statistics
    • 34.1 Inferential statistics quiz
    • 34.2 Standard normal distribution basics
    • 34.3 The basic logic of null hypothesis significance testing (NHST)
    • 34.4 Distributions of participant means vs. sampling distributions
  • 35 Rejecting outliers based on SDs
  • 36 The one-sample t-test
    • 36.1 Running the one-sample t-test
    • 36.2 The one-sample t-test SPSS output
    • 36.3 Interpreting the output
    • 36.4 Lab 13 Exercise
    • 36.5 The trouble with t and p-values
    • 36.6 Computing the effect size
    • 36.7 Reporting the results of a one-sample t-test
  • 37 The Pearson correlation test
    • 37.1 Running the Pearson correlation test
    • 37.2 The Pearson correlation test output
    • 37.3 What does the output mean?
    • 37.4 Lab 14 exercise
    • 37.5 The effect size for a Pearson correlation test
    • 37.6 Reporting the results of a Pearson correlation analysis
  • 38 RPS reminder
  • 39 Excel/SPSS data analysis quiz
  • Lab reports
  • 40 Lab report basics
  • 41 Lab report template and marking rubric
    • 41.1 The lab report template
    • 41.2 The marking rubric
  • 42 The formative lab report
  • 43 Creating charts
    • 43.1 Excel bar chart
    • 43.2 ESCI point plot
    • 43.3 SPSS bar chart
  • 44 Xerte activities
  • 45 Endnote
    • 45.1 Installing EndNote
    • 45.2 Accessing Web of Science and importing a reference
    • 45.3 Exporting from Google Scholar to EndNote
    • 45.4 Adding APA7 style to EndNote output style
    • 45.5 Manual interventions
    • 45.6 More EndNote resources
    • 45.7 Alternatives to EndNote
  • 46 The summative lab report
  • 47 Formative lab report feedback
  • 48 References
  • Appendices
  • A Semester overview
    • A.1 Autumn semester
    • A.2 Spring semester
  • B Glossary
  • C Moodle forum digest settings
  • D MS Teams
    • D.1 Create a group on Teams and add members
    • D.2 Scheduling a meeting for a team
    • D.3 Contacting Team members
    • D.4 Viewing names of Team members
    • D.5 Notification settings
  • E Searching literature - a very brief intro
  • F Sharing an online Word document
  • G Psychology in the news
  • H PsychoPy issues
    • H.1 Checking your experiment
    • H.2 PsychoPy error messages
    • H.3 Getting help
  • I Python basics
  • Made with bookdown

The Hitchhiker’s Guide to PSGY1001

Chapter 47 Formative lab report feedback

You can download the formative lab report feedback slides here.

From Lab 19: You can download the file with the referencing errors here and download the file with the solutions here.