Statistics for the Social Sciences

600 Pages·22.774 MB·English

by  Russell T. Warne

Statistics for the Social Sciences
AGeneral Linear Model Approach
Written by a quantitative psychologist, this textbook explains complex statistics in accessible
language to undergraduates in all branches of the social sciences. Built around the central frame-
work of the general linear model (GLM), Statistics for the Social Sciences teaches students how
differentstatisticalmethodsareinterrelatedtooneanother.WiththeGLMasabasis,studentswith
varying levels of background are better equipped to interpret statistics and learn more advanced
methods in their later courses. Dr. Warne makes statistics relevant to students’varying majors by
usingfascinatingreal-lifeexamplesfromthesocialsciences.Studentswhousethisbookwillbenefit
fromclearexplanations,warningsagainstcommonerroneousbeliefsaboutstatistics,andthelatest
developments in the philosophy, reporting, and practice of statistics in the social sciences. The
textbookispackedwithhelpfulpedagogicalfeaturesincludinglearninggoals,guidedpractice,and
reflection questions.
Dr. Russell T. Warne is a quantitative psychologist in the Department of Behavioral Science at
Utah Valley University who earned his PhD from Texas A&M University in 2011. Since 2009 he
has taught introductory statistics to undergraduates majoring in psychology, sociology, education,
anthropology, communications, family science, exercise science, and biology. At Utah Valley
University his statistics course is one of his department’s highest rated classes, with an average
studentratingof 4.7 outof 5.
Dr.Warnedoesn’tjustteachstatistics.Heusesstatisticsinhisresearch,too.Hehaspublishedover
40 articles in professional journals in psychology, education, methodology, medicine, sociology,
health,business,andthearts.Formanyofthesearticleshiscoauthorswerestudents.Dr.Warnehas
earned awards for his research from the National Association for Gifted Children, the Southwest
Educational Research Association, Texas A&M University, and Utah Valley University. He also
uses his statistical training to serve on the editorial board of three scientific journals – Journal of
PsychoeducationalAssessment,Gifted Child Quarterly, andJournalof SchoolPsychology.

for the
Statistics
Social Sciences
A General Linear Model Approach
RUSSELL T. WARNE
UtahValley University
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Description:NewYork:CambridgeUniversityPress,2018.|Includesbibliographicalreferencesandindex.
Identifiers:LCCN2017023186|ISBN9781107576971(paperback)
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For Katie.
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Contents
Preface ix
Acknowledgements xiii
List of Examples xv
Chapter 1 Statistics andModels 1
Chapter 2 Levels of Data 21
Chapter 3 Visual Models 35
Chapter 4 Models of CentralTendency andVariability 77
Chapter 5 Linear Transformations and z-Scores 103
Chapter 6 Probability and the Central Limit Theorem 127
Chapter 7 Null HypothesisStatistical Significance Testing and z-Tests 151
Chapter 8 One-Sample t-Tests 181
Chapter 9 Paired-Samples t-Tests 215
Chapter 10 Unpaired Two-Sample t-Tests 241
Chapter 11 Analysis of Variance 275
Chapter 12 Correlation 329
Chapter 13 Regression 369
Chapter 14 Chi-Squared Test 403
Chapter 15 Applying Statistics to Research, and Advanced StatisticalMethods 443
Appendix A1 485
Appendix A2 494
Appendix A3 497
Appendix A4 500
Appendix A5 503
Appendix A6 506
Glossary 508
AnswerKey 524
References 548
NameIndex 564
Subject Index 569