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Taylor & Francis
Statistical Concepts: A Second Course / Edition 4

Statistical Concepts: A Second Course / Edition 4

by Richard G. Lomax


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Product Details

ISBN-13: 2900415880076
Publisher: Taylor & Francis
Publication date: 03/23/2012
Edition description: New Edition
Pages: 532
Product dimensions: 6.00(w) x 1.25(h) x 9.00(d)

About the Author

Richard G. Lomax is a Professor in the School of Educational Policy and Leadership at The Ohio State University. He received his Ph.D. in Educational Research Methodology from the University of Pittsburgh. His research focuses on models of literacy acquisition, multivariate statistics, and assessment. He has twice served as a Fulbright Scholar and is a Fellow of the American Educational Research Association.

Debbie L. Hahs-Vaughn is an Associate Professor in the College of Education at the University of Central Florida. She received her Ph.D. in Educational Research from the University of Alabama. Her research focuses on methodological and substantive research using complex survey data, program evaluation, and practitioner use of research to inform their practice. Dr. Hahs-Vaughn was the recipient of the 2007 College of Education Excellence in Graduate Teaching Award, 2009 College of Education Distinguished Researcher Award, 2009 Teaching Incentive Program Award, and 2009 Research Incentive Award. She is currently the Executive Editor of the Measurement, Statistics, and Research Design section of the Journal of Experimental Education.

Table of Contents

Preface     ix
One-Factor Analysis of Variance-Fixed-Effects Model     1
Characteristics of the one-factor ANOVA model     3
The layout of the data     5
ANOVA theory     6
The ANOVA model     11
Assumptions and violation of assumptions     15
The unequal n's or unbalanced design     18
Alternative ANOVA procedures     18
SPSS     20
Summary     22
Multiple Comparison Procedures     27
Concepts of multiple comparison procedures     29
Selected multiple comparison procedures     33
SPSS     46
Summary     47
Factorial Analysis of Variance-Fixed-Effects Model     52
The two-factor ANOVA model     54
Three-factor and higher-order ANOVA     70
Factorial ANOVA with unequal n's     72
SPSS     73
Summary     74
Introduction to Analysis of Covariance: The One-Factor Fixed-Effects Model With a Single Covariate     82
Characteristics of the model     83
The layout of the data     86
The ANCOVA model     86
The ANCOVA summary table     87
Partitioning thesums of squares     88
Adjusted means and related procedures     88
Assumptions and violation of assumptions     91
An example     94
ANCOVA without randomization     97
More complex ANCOVA models     98
Nonparametric ANCOVA procedures     98
SPSS     98
Summary     99
Random- and Mixed-Effects Analysis of Variance Models     106
The one-factor random-effects model     108
The two-factor random-effects model     111
The two-factor mixed-effects model     114
The one-factor repeated measures design     118
The two-factor split-plot or mixed design     124
SPSS     130
Summary     137
Hierarchical and Randomized Block Analysis of Variance Models     140
The two-factor hierarchical model     141
The two-factor randomized block design for n = 1     148
The two-factor randomized block design for n > 1     155
The Friedman test     155
Comparison of various ANOVA models     156
SPSS     158
Summary     162
Simple Linear Regression     166
The concepts of simple linear regression      167
The population simple linear regression model     169
The sample simple linear regression model     170
SPSS     186
Summary     188
Multiple Regression     192
Partial and semipartial correlations     193
Multiple linear regression     195
Other regression models     208
SPSS     213
What's next?     213
Summary     215
References     219
Appendix Tables     229
Answers     253
Index     259

What People are Saying About This

From the Publisher

"I have been using this text to teach statistics to beginning and intermediate-level graduate students in education for years and have been extremely impressed with its readability and emphasis on conceptual understanding. I can’t wait to introduce my students to statistics with this new edition, as it addresses key concepts while also providing real-life examples that will aid them in learning to reason with statistics." —H. Michael Crowson, The University of Oklahoma, USA

"This is one of the most complete and lucid … statistics textbooks available for education and the social sciences: it blends theory and pragmatics seamlessly. The integration of SPSS into the chapters is a welcome addition. Each chapter describes what to do, why to do it, and how to do it." – Betsy McCoach, University of Connecticut, USA

"The unique blend of conceptual approaches to statistical learning, interpretative exercises, and APA styled write-ups sets this book apart from other texts. The broad coverage of statistical procedures, SPSS generation and interpretation, and emphasis on statistical assumptions will serve students and researchers." - C.Y. Joanne Peng, Indiana University, USA

"Combining theory and mathematical accessibility with examples, SPSS applications, and APA style write-ups, this is a fascinating book for … statistical courses in the social and behavioral sciences. It has a broad coverage of topics and should prove invaluable as a classroom text or as a reference for applied researchers. " - Feifei Ye, University of Pittsburgh, USA

"The clear content, easy-to-follow software examples, and comprehensive coverage of topics will be extremely useful for researchers in the early stages of their statistical development." - Brian F. French, USA Washington State University

"Writing statistical results in APA format is great for graduate students. ... The … changes ... make the book a better teaching tool. ... The basic terms and concepts are defined and developed clearly, accurately, and in an interesting manner." - Robert P. Conti, Sr., Mount Saint Mary College, USA

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