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.
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Richard Lomax is a Professor in the College of Education at The Ohio State University.
"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
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