Statistical Concepts: A Second Course

Richard Lomax provides a conceptual, intuitive approach to the subject that requires only a rudimentary knowledge of basic algebra. Concepts are clearly stated and supported by real-life examples. Statistical Concepts features comprehensive coverage in a flexible format so instructors can pick and choose topics. It features topics not traditionally found in other textbooks, such as the layout of the data in ANOVA models, the ANOVA linear models, expected mean squares in ANOVA models, and stepwise regression. The book features a thorough and current discussion of assumptions, the effects of their violations, and how to deal with their violation. This text is designed for a second or intermediate course in statistics for students in education and the behavioral sciences. It includes a number of regression and analysis of variance models, all subsumed under the general linear model (GLM). A prerequisite of introductory statistics (descriptive statistics through t-tests) is assumed.

Table of Contents:
Contents: Preface. Simple Linear Regression. Multiple Regression. One-Factor Analysis of Variance--Fixed-Effects Model. Multiple-Comparison Procedures. Factorial Analysis of Variance--Fixed-Effects Model. Introduction to Analysis of Covariance: The One-Factor Fixed-Effects Model With a Single Covariate. Random- and Mixed-Effects Analysis of Variance Models. Hierarchical and Randomized Block Analysis of Variance Models. Appendix Tables.

Review :
"The text is pitched at a level of difficulty and mathematical complexity that is just right…The …chapters on random factors, analysis of covariance and hierarchical designs makes it such that I can use it in an experimental design class oriented for students with non-calculus backgrounds… The sections on measures of effect size are very good and fit with newer requirements … in the field." - Alan J. Kolkars, Ph.D., University of Washington "The author’s writing style is one of the main strengths of this text. I also like the packaging of multiple regression with ANOVA in one book… I like all the proposed changes… It will actually be a better match to the statistics components to our …curriculum … than any other text." - Alan D. Moore, Ph.D., University of Wyoming Praise for Prior texts... "It's a great text. It explains statistical concepts in some of the most user-friendly English I have ever read in this topical area. Definitely check it out." —Air Force Research Laboratory Intranet "This book does an excellent job of doing what it is intended to do; that is, provide a good conceptual understanding of those topics needed in a second course in statistics for education and the behavioral sciences." —APA Review of Books "The text is pitched at a level of difficulty and mathematical complexity that is just right…The …chapters on random factors, analysis of covariance and hierarchical designs makes it such that I can use it in an experimental design class oriented for students with non-calculus backgrounds… The sections on measures of effect size are very good and fit with newer requirements … in the field." - Alan J. Kolkars, Ph.D., University of Washington "The author’s writing style is one of the main strengths of this text. I also like the packaging of multiple regression with ANOVA in one book… I like all the proposed changes… It will actually be a better match to the statistics components to our …curriculum … than any other text." - Alan D. Moore, Ph.D., University of Wyoming