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Easy Statistics in Psychology: A BPS Guide / Edition 1

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Overview

Written exclusively for those students approaching this subject for the first time, Easy Statistics in Psychology: A BPS Guide is a compact, accessible, and highly readable, new text on psychological statistics. The book is written in a friendly, approachable style using simple language and avoiding complexities commonly associated with the topic. It is packed with helpful analogies that will help the reader understand the ideas behind the formulae and appreciate the powerful benefits that a rigorous statistical approach can bring to psychological research.

About the Author:
Mark Forshaw is Principal Lecturer in Psychology at Staffordshire University

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Editorial Reviews

From the Publisher
"The book achieves a great deal in a short space, and I am sure many readers will find it extremely useful.... This is an unusual and generally well-written book that will be valuable for those who want their statistical understanding to come from words rather than numbers or mathematics." (Psychology Learning and Teaching, Autumn 2008)
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Product Details

  • ISBN-13: 9781405139564
  • Publisher: Wiley
  • Publication date: 12/4/2007
  • Edition number: 1
  • Pages: 168
  • Product dimensions: 0.38 (w) x 9.21 (h) x 6.14 (d)

Meet the Author

Mark Forshaw is Principal Lecturer in Psychology at Staffordshire University. He is a Chartered Health Psychologist and Associate Fellow of the British Psychological Society. He is the author of Your Undergraduate Psychology Project: A BPS Guide (BPS Blackwell, 2004). 

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Table of Contents


Preface     ix
Acknowledgements     xi
An Introduction to Measuring Things     1
Levels of Measurement     1
Measures of Central Tendency     3
Mean     4
Mode     5
Median     6
Normal Distribution     6
The Case of the Normal Distribution     8
Variance and More     11
Variance and Standard Deviation     11
Sampling Distributions and the Standard Error of the Means     16
The Central Limit Theorem     17
Confidence Intervals     17
Skew and Kurtosis     18
Transformations     21
Probability, Power and Error     23
Hypothesis Testing and Probability     23
Probability and P-Values     29
Subjective Probability     34
Power     35
Type I and Type II Errors     39
First Steps in Inferential Testing     43
t-tests     43
When Significant Differences Aren't What You Need     47
Levene's Test     48
Analysis of Variance     51
Analysis of Variance (ANOVA)     51
Repeated Measures ANOVA     60
Mixed ANOVA     60
MANOVA     60
ANCOVA     61
Cell Sizes in ANOVA Designs     63
Sphericity     65
Robustness of ANOVA     66
Familywise Error     66
A priori and post hoc tests     68
Bonferroni's Correction     69
Simple Effects Analysis     70
Correlation and Regression     71
Correlation     71
Partial Correlation     78
Attenuation of Correlation     81
Heteroscedasticity     82
Cronbach's Alpha     84
Regression     87
Multiple Regression     87
Things to Keep an Eye On     92
Logistic Regression     94
Factor Analysis     95
Goodness of Fit and Chi-Squared     101
Chi-squared     101
Degrees of Freedom     106
Non-Parametric Tests     111
Mann-Whitney U-Test     112
Wilcoxon Rank-Sum Test     113
Wilcoxon Matched-Pairs Signed-Rank Test     113
Spearman's Rho     114
Kruskal-Wallis     114
Friedman's Rank Test      114
Rarely Used Tests in the Seedy Underbelly of Statistics     115
Kendall's Tau     115
The Sign Test     116
The Binomial Test     117
Point-Biserial Correlation Coefficient     117
The Biserial Correlation Coefficient     119
The Phi Coefficient     119
McNemar's Test and Cochran's Q     120
Cohen's Kappa     120
Jonckheere-Terpstra test     122
Page's L     112
Wald-Wolfowitz Runs Test     123
Fabjick's P-Test     123
References     125
Further Reading     127
Index     129
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