The introduction to statistics that psychology students can’t
afford to be without
Understanding statistics is a requirement for obtaining and
making the most of a degree in psychology, a fact of life that
often takes first year psychology students by surprise. Filled with
jargon-free explanations and real-life examples, Psychology
Statistics For Dummies makes the often-confusing world of
statistics a lot less baffling, and provides you with the
step-by-step instructions necessary for carrying out data
analysis.
Psychology Statistics For Dummies:
* Serves as an easily accessible supplement to doorstop-sized
psychology textbooks
* Provides psychology students with psychology-specific
statistics instruction
* Includes clear explanations and instruction on performing
statistical analysis
* Teaches students how to analyze their data with SPSS, the most
widely used statistical packages among students
विषयसूची
Introduction 1
Part I: Describing Data 7
Chapter 1: Statistics? I Thought This Was Psychology! 9
Chapter 2: What Type of Data Are We Dealing With? 19
Chapter 3: Inputting Data, Labelling and Coding in SPSS 27
Chapter 4: Measures of Central Tendency 53
Chapter 5: Measures of Dispersion 73
Chapter 6: Generating Graphs and Charts 91
Part II: Statistical Significance 111
Chapter 7: Understanding Probability and Inference 113
Chapter 8: Testing Hypotheses 123
Chapter 9: What’s Normal about the Normal Distribution?139
Chapter 10: Standardised Scores 155
Chapter 11: Effect Sizes and Power 165
Part III: Relationships between Variables 183
Chapter 12: Correlations 185
Chapter 13: Linear Regression 211
Chapter 14: Associations Between Discrete Variables 243
Part IV: Analysing Independent Groups Research Designs 265
Chapter 15: Independent t-tests and Mann-Whitney Tests 267
Chapter 16: Between-Groups ANOVA 285
Chapter 17: Post Hoc Tests and Planned Comparisons for Independent Groups Designs 313
Part V: Analysing Repeated Measures Research Designs 327
Chapter 18: Paired t-tests and Wilcoxon Tests 329
Chapter 19: Within-Groups ANOVA 347
Chapter 20: Post Hoc Tests and Planned Comparisons for Repeated Measures Designs 379
Chapter 21: Mixed ANOVA 395
Part VI: The Part of Tens 415
Chapter 22: Ten Pieces of Good Advice For Inferential Testing417
Chapter 23: Ten Tips for Writing Your Results Section 421
Index 425
लेखक के बारे में
Donncha Hanna, Ph D is a psychology lecturer at Queen’s University Belfast whose primary teaching responsibilities include statistics and research methods. Martin Dempster, Ph D is a health psychologist and the research coordinator for the Doctorate in Clinical Psychology programme at Queen’s University Belfast.
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