Phu Xuan University Library
|
PXU E-LIB
Sign in
Graduate-Level Statistics in Psychology

External

Graduate-Level Statistics in Psychology

By: Dr. Peter Ji, Adler University. Image: "Graduate-Level Statistics in Psychology Wordcloud" by D. Banks. CC-BY 4.0

Statistics
Author
Peter Ji
Publisher
Adler University
Source
LibreTexts
License
CC BY
Language
EN
Category
Basic Sciences
Read online Download PDF (open licence)
Contents· 100 sections
  1. 01: What is a Number
  2. 1.01: How to Start with Statistics
  3. 1.02: A Geek Out Explanation of Variation
  4. 1.03: Variations Lead to Numbers
  5. 1.04: The Battle of Words Versus Numbers
  6. 1.05: Quantifying a Construct or Why Numbers Are Better Than Words
  7. 1.06: Now You Love Numbers as Much as You Love the White Sox and Taylor Swift
  8. 1.07: Statistics Do Something with Numbers
  9. 1.08: Numbers Don't Lie but Numbers Don't Tell the Full Story
  10. 1.09: Seeing Numbers What I Want You to Learn
  11. 1.10: Connection Between Understanding How Things Vary and What You are Trying to Do
  12. 1.11: Discussion Questions
  13. 02: What are Statistics
  14. 2.01: Statistics Involves Comparison and Context
  15. 2.02: Statistics is About Finding Patterns
  16. 2.03: Statistics as Estimates or Making Guesses
  17. 2.04: Two Broad Categories of the Process of Using Statistics
  18. 2.05: Homework Questions
  19. 03: Variable Types
  20. 3.01: Variables - Not Always Obvious
  21. 3.02: How to Organize Variation With Variables
  22. 3.03: Categorical Variables- Variables That Vary by Type
  23. 3.04: Continuous Variables- Variables That Vary by Level
  24. 3.05: Nuances in Determining if a Variable Should be a Certain Type
  25. 3.06: Making Decisions About the Variables in Your Research Study
  26. 3.07: Lessons Learned About Variables
  27. 3.08: Homework Questions
  28. 04: Distributions
  29. 4.01: Distributions A Picture of Variation
  30. 4.02: Categorical Distributions
  31. 4.2.01: Evaluating the Plot
  32. 4.03: Reviewing Journal Articles for Frequency Distributions for Categorical Variables
  33. 4.04: Continuous Distributions
  34. 4.05: Evaluating the Quality of Frequency Distributions
  35. 4.06: Normal Distribution for Continuous Variables
  36. 4.07: Skewed Distribution- The Opposite of Normal Distribution
  37. 4.08: Evaluating a Continuous Distribution
  38. 4.09: Homework Questions
  39. 05: Measures of Central Tendency
  40. 5.01: What is Central Tendency Why Do We Use It
  41. 5.02: Three Types of Central Tendency and Why We Need Them
  42. 5.03: The Mean Median and Mode in Normal and Skewed Distributions
  43. 5.04: Homework Questions
  44. 06: Measures of Variability
  45. 6.01: What is Variance
  46. 6.02: How Do You Determine Variance
  47. 6.03: Partitioning of the Variance
  48. 6.04: Standardized Values of Reporting Scores
  49. 6.05: Homework Questions
  50. 07: Sampling Standard Error Central Limit Theorem
  51. 7.01: The Purpose of Sampling
  52. 7.02: Sampling from the Population
  53. 7.03: Getting a Good Sample - Get a Random Sample
  54. 7.04: Sampling Bias or Error
  55. 7.05: Central Limit Theorem (CLT) and Its Implications
  56. 7.06: Summary of Reasons Why You Need a Large Sample Size
  57. 7.07: Homework Questions
  58. 08: Probability Hypothesis Testing Type I and Type II Errors
  59. 8.01: The Role of Probability
  60. 8.02: Statistical Decision - Is a Result Significant or Not Significant
  61. 8.03: Hypotheses for Statistical Inference
  62. 8.04: How to Determine if a Result is Significant
  63. 8.05: Interpreting a Statistical Test Result
  64. 8.06: Testing a Hypothesis
  65. 8.07: How Do We Get the P Value for the Statistical Test
  66. 8.08: Confidence Intervals
  67. 8.09: Type I and Type II Errors
  68. 8.10: The Definition of Type I and Type II Errors
  69. 8.11: Discussion Questions
  70. 09: Effect Sizes and Power Analysis
  71. 9.01: Significant (P Value) Versus Meaningful (Effect Size) Results
  72. 9.02: What Are Effect Sizes
  73. 9.03: Statistical Power
  74. 9.04: How to Conduct a Power Analysis
  75. 9.05: Pause and Process Check Pulling P Values and Effect Sizes Together
  76. 9.06: Homework Questions
  77. 10: Introduction to Inferential Statistics
  78. 10.01: The Meaning of Inferential
  79. 10.02: Patterns
  80. 10.03: General Linear Model
  81. 10.04: Homework Questions
  82. 11: T-tests
  83. 11.01: When to Use the Independent T-test
  84. 11.02: Design Set Up
  85. 11.03: Commentary
  86. 11.04: T-test Assumptions
  87. 11.05: Reading T-tests
  88. 11.06: T-Tests You Need to Know for the Examination for Professional Practice in Psychology (EPPP) Licensing Exam
  89. 11.07: Reading Articles That Involve a T-test
  90. 11.08: Reading T-tests from Journal Articles
  91. 11.09: Summary
  92. 11.10: Discussion Questions
  93. 12: Analysis of Variance ANOVA
  94. 12.01: When to Use the ANOVA
  95. 12.02: The Concept Behind Analysis of Variance
  96. 12.03: - Interpreting the F-test and Post-Hoc Comparisons
  97. 12.04: Commentary
  98. 12.05: Reading Articles ANOVA
  99. 12.06: Summary
  100. 12.07: Homework Questions