Advanced Statistics in Research: Reading, Understanding, and Writing Up Data Analysis Results

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ShadowFinch Media, LLC, 2013 - Mathematical statistics - 632 pages
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Advanced Statistics in Research: Reading, Understanding and Writing Up Data Anaylsis Results; makes multivariate statistics accessible to all readers--including those with little training in research or data analysis; Advanced Statistics in Research is the easiest guide to the most advanced statistical procedures used in research: multiple regression, discriminant analysis, logistic regression, MANOVA, ANOVA, ANCOVA, factor analysis, path analysis, structural equation modeling, meta-analysis, and more. It does not show how to statistical analyses. Instead, it shows how to read and understand the results from these analyses as they are typically reported in research articles.Writing the Results Section: Students and researchers learning APA format will see many examples of statistical procedures that have been summarized for the section of journal articles. All text and tables are prepared according to guidelines from the Publication Manual of the American Psychological Association. In addition, readers will see many examples of graphs, diagrams, and other figures in APA format.Traditional practices versus best practices Advanced Statistics in Research illustrates popular practices AND best practices the newer conventions that are currently recommended by the Publication Manual of the American Psychological Association Task Force on Statistical Inference and other authoritative sources. Readers will learn how to report significance tests and will see how researchers now supplement significance tests with confidence intervals, effect size, and replication statistics such as . Audience: Advanced Statistics in Research may be used as a stand-alone reference for researchers or as a textbook for graduate students or upper-level undergraduates. Companion website: Students and instructors will find free downloadable exercises, PowerPoint slides of tables and figures, and other supplementary materials at the book's companion website: A 600-item test bank is available to instructors.

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About the author (2013)

Author. Larry Hatcher Ph.D. is author or co-author of five textbooks that show how to perform statistical analyses using the SAS and JMP applications. These include A Step-by-Step Approach to Using SAS for Univariate & Multivariate Statistics (co-authored with Norm O'Rourke and Edward Stepanski) and the widely-cited A Step-By-Step Approach to Using the SAS System for Factor Analysis and Structural Equation Modeling. Larry earned his doctorate in industrial and organizational psychology from Bowling Green State University in 1983. He won the Cecil M. Freeburne Award for Excellence in Teaching at Bowling Green State University in 1981, was named the Outstanding Junior Professor at Winthrop University in 1987, and won the Best Paper Prize for an article published in the Journal of Organizational Behavior (co-authored by Tim Ross) in 1991. He is currently Professor of Psychology at Saginaw Valley State University where he teaches courses on elementary and advanced statistics.

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