Psychology Statistics for Dummies
by Hanna, Donncha; Dempster, MartinEdition: 1st
Format: Paperback
Pub. Date: 2013-01-29
Publisher(s): For Dummies
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Summary
The introduction to statistics that psychology students cant 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 About the author Donncha Hanna PhD is a psychology lecturer at Queens University Belfast whose primary teaching responsibilities include statistics and research methods. Martin Dempster PhD is a health psychologist and the research coordinator for the doctorate in clinical psychology program at Queens University Belfast.
Author Biography
Donncha Hanna, PhD is a psychology lecturer at Queen's University Belfast whose primary teaching responsibilities include statistics and research methods. Martin Dempster, PhD is a health psychologist and the research coordinator for the Doctorate in Clinical Psychology programme at Queen's University Belfast.
Table of Contents
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 Testing 417
Chapter 23: Ten Tips for Writing Your Results Section 421
Index 425
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