Lost in the unknown territory of structural equation modeling, meta-analysis, and other advanced statistical procedures?
Don’t panic. You have just found the map.
Welcome to the companion site for Advanced Statistics in Research: Reading, Understanding, and Writing Up Data Analysis Results. This is the easiest guide to the nastiest statistics: multiple regression, discriminant analysis, logistic regression, MANOVA, ANOVA, ANCOVA, factor analysis, path analysis, structural equation modeling, meta-analysis, and more (see the table of contents for the complete list).
Advanced Statistics in Research does not show how to perform statistical analyses—it shows how to read and understand the analyses that appear in the Results section of published scientific articles. It is written for those with little or no background in data analysis. Complex matrix-algebra formulas are avoided, and all concepts are explained in simple, nontechnical terms (with lots of examples). It may be used as a reference for students and researchers or as a textbook for upper-level undergraduates and graduate students.
If you are a professor, instructor, lecturer, or any other kind of teacher, you are welcome to use this site’s materials in teaching your classes—free of charge. These materials include table of contents, sample chapters, slides and exercises for the classroom. The Instructor’s Page provides information about how teachers may obtain the 600-item test bank.
The exercises section provides free PDF downloads of over 20 exercises related to the statistical procedures covered in the book. The typical exercise describes an investigation, provides excerpts from the Results section of the resulting fictitious article, and then asks questions about those results. The exercises can be used as in-class discussion activities, homework assignments, and source material for exam questions.
Sorry, but no e-book, Kindle, or online version of Advanced Statistics in Research is planned at this time. Copies are available only in paperback.