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Statistics for Research Students

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Statistics for Research Students

This book aims to help you understand and navigate statistical concepts and the main types of statistical analyses essential for research students.

Applied StatisticsStatistics
Author
Erich C Fein, John Gilmour, Tayna Machin, and Liam Hendry
Publisher
University of Southern Queensland
Source
LibreTexts
License
CC BY
Language
EN
Category
Basic Sciences
Read online Download PDF (open licence)
Contents· 57 sections
  1. 01: Exploring Your Data
  2. 1.01: Data and Types of Statistical Variables
  3. 1.02: Descriptive Statistics
  4. 1.03: Missing Data
  5. 1.04: Checking Values
  6. 1.05: Normality
  7. 1.06: Outliers
  8. 1.07: Chapter One Self-Test
  9. 02: Test Statistics p Values Confidence Intervals and Effect Sizes
  10. 2.01: p Values
  11. 2.02: Significance
  12. 2.03: Confidence Intervals
  13. 2.04: Effect Sizes
  14. 2.05: Statistical Power
  15. 2.06: Chapter Two Self-Test
  16. 03: Comparing Two Group Means
  17. 3.01: Looking at Group Differences
  18. 3.02: Between Versus Within Groups Analysis
  19. 3.03: Independent T-test Assumptions Interpretation and Write Up
  20. 3.04: Paired T-test Assumptions Interpretation and Write Up
  21. 3.05: Chapter Three Self-Test
  22. 04: Comparing Associations Between Two Variables
  23. 4.01: Examining Relationships
  24. 4.02: Correlation Assumptions Interpretation and Write Up
  25. 4.03: Chapter Four Self-Test
  26. 05: Comparing Associations Between Multiple Variables
  27. 5.01: The Linear Model
  28. 5.02: Simple Regression Assumptions Interpretation and Write Up
  29. 5.03: Multiple Regression Explanation Assumptions Interpretation and Write Up
  30. 5.04: Hierarchical Regression Explanation Assumptions Interpretation and Write Up
  31. 5.05: Chapter Five Self-Test
  32. 06: Comparing Three or More Group Means
  33. 6.01: Between Versus Within Group Analyses
  34. 6.02: One-Way ANOVA Assumptions Interpretation and Write Up
  35. 6.03: Section 6.3 Repeated Measures ANOVA Assumptions Interpretation and Write Up
  36. 6.04: Chapter Six Self-Test
  37. 07: Moderation and Mediation Analyses
  38. 7.01: Mediation and Moderation Models
  39. 7.02: Mediation Assumptions The PROCESS Macro Interpretation and Write Up
  40. 7.03: Moderation Models Assumptions Interpretation and Write Up
  41. 7.04: Chapter Seven Self-Test
  42. 08: Factor Analysis and Scale Reliability
  43. 8.01: Factor Analysis Definitions
  44. 8.02: EFA versus CFA
  45. 8.03: EFA Steps with Factor Extraction
  46. 8.04: EFA Determining the Number of Factors
  47. 8.05: EFA Interpretation
  48. 8.06: EFA Write Up
  49. 8.07: Scale Reliability
  50. 8.08: Chapter Eight Self-Test
  51. 09: Nonparametric Statistics
  52. 9.01: Nonparametric Definitions
  53. 9.02: Choosing Appropriate Tests
  54. 9.03: Comparing Two Independent Conditions- The Mann Whitney U Test
  55. 9.04: Comparing Two Dependent Conditions or Paired Samples Wilcoxon Sign-Rank Test
  56. 9.05: Differences Between Several Independent Groups- The KruskalWallis Test
  57. 9.06: Chapter Nine Self-Test