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Easy Statistics in Psychology: A BPS Guide / Edition 1

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Overview

Designed for those approaching this subject for the first time, Easy Statistics in Psychology is a short, readable guide to the ideas behind statistical formulae and the benefits that a rigorous statistical approach brings to psychological research. Packed with useful analogies, it helps students get beyond the numbers.

  • Focuses on the ideas and practicalities of statistics in psychology, rather than an array of complex numbers and formulas
  • Covers the key tests and concepts relevant to the undergraduate student
  • Includes a helpful section on the uses and abuses of statistics, outlining when the specific tests can be used and when they should not
  • Written by the author of Your Undergraduate Psychology Project: A BPS Guide (Blackwell, 2004)
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Editorial Reviews

From the Publisher
"This text speaks statistics in a psychologist's language. It avoids mathematical rigour and equations and eases the reader into the unfamiliar territory of statistical methodology with the more familiar map of a relaxed conversational style. This approach should be particularly appealing for people from a non-numerate background who are interested in exploring the potential of what statistics can do to help them understand their data."
Peter Watson, University of Cambridge

"Many psychology students are scared of statistics. In Easy Statistics in Psychology Mark Forshaw attempts to demystify the most common and useful statistics in psychology and make them accessible and perhaps even cuddly. Mark has taught statistics to many undergraduates and it shows, particularly in his use of helpful analogies and his insight into the common, but rarely discussed, errors students make in data entry and in interpretation of the complex output from statistical packages. This book nicely complements other more advanced or technical texts. Most psychology undergraduates will find it helpful; for some it may be a God send."
Derek Johnston, Professor in Psychology, University of Aberdeen

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Product Details

  • ISBN-13: 9781405139571
  • Publisher: Wiley
  • Publication date: 12/4/2007
  • Edition number: 1
  • Pages: 144
  • Sales rank: 935,653
  • Product dimensions: 6.00 (w) x 9.00 (h) x 0.31 (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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