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A Contemporary Approach to Research and Statistics in Psychology

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A Contemporary Approach to Research and Statistics in Psychology

This book is designed as a short and introductory resource specifically aimed to help students grasp key concepts typically found in undergraduate psychology statistics subjects. It was initially developed for online and intensive programs, which are becoming increasingly popular in psychology education. The book utilises jamovi, a free and open-source statistical software.

Applied StatisticsStatistics
Author
Klaire Somoray
Publisher
James Cook University
Source
LibreTexts
License
CC BY-NC
Language
EN
Category
Basic Sciences
Read online Download PDF (open licence)
Contents· 48 sections
  1. 01: Research and Statistical Thinking in Everyday Life
  2. 1.01: What can Statistics do for us
  3. 1.02: If I Apply Statistical Thinking all the Time then why do I find it Difficult
  4. 1.03: Big Ideas in Statistics
  5. 1.04: Data is are
  6. 02: Working with jamovi
  7. 2.01: Why jamovi
  8. 2.02: Getting Started with jamovi
  9. 2.03: Analyses
  10. 2.04: The Spreadsheet
  11. 2.05: Loading Data in jamovi
  12. 2.06: Installing add-on Modules into jamovi
  13. 03: Brief Review of Research Methods
  14. 3.01: How do we Measure Variables in Psychology
  15. 3.02: Introduction to Psychological Measurement
  16. 3.03: What Makes a Good Measure
  17. 3.04: Some Complexities
  18. 3.05: The Role of Variables - Predictors and Outcomes
  19. 3.06: Research Design I- Experimental Designs
  20. 3.07: Research Design II- Non-Experimental Designs
  21. 04: The Replication Crisis
  22. 4.01: How we Think Science Should Work
  23. 4.02: Reasons for Non-Replication
  24. 4.03: What can we do About it
  25. 05: Aggregation
  26. 5.01: Why Summarise Data
  27. 5.02: Summarising Data Using Tables
  28. 5.03: Summarising Data Using Graphs
  29. 5.04: The Middle of the Data
  30. 5.05: Variability - How Spread Out are the Values
  31. 5.06: Z Scores
  32. 06: Modelling Variations
  33. 6.01: A Simple Model
  34. 6.02: Statistical Modelling Using a Single Number
  35. 6.03: Sampling and Sampling Error
  36. 6.04: The Central Limit Theorem
  37. 6.05: Null Hypothesis Testing
  38. 6.06: Quantifying Effects
  39. 07: The General Linear Model
  40. 7.01: General Linear Model
  41. 7.02: Modelling Continuous Relationships
  42. 7.03: Comparing Means
  43. 7.04: Working with Categorical Outcomes
  44. 7.05: Introduction to Multivariate Statistical Modelling
  45. 08: Putting it all Together
  46. 8.01: Practical steps to Statistical Modelling
  47. 09: Beyond Research and Statistics
  48. 9.01: Beyond Research and Statistics