Intermediate Statistics Using SPSS

Herschel Knapp's applied intermediate statistics text for graduate-level classes offers explanations in plain English, without focusing on the derivation or memorization of statistical formulas. Intermediate Statistics Using SPSS addresses the needs of contemporary students, who simply want to know [...]
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Herschel Knapp's applied intermediate statistics text for graduate-level classes offers explanations in plain English, without focusing on the derivation or memorization of statistical formulas. Intermediate Statistics Using SPSS addresses the needs of contemporary students, who simply want to know (1) What statistical test should I use for this situation? (2) How do I set up the data? (3) How do I run the test? And (4) How do I interpret and document the results. After a brief refresher of more introductory content, the text proceeds through ANCOVA, MANOVA, Paired t-test, ANOVA Repeated Measures, Correlation and Regression, Multiple Regression, and Logistic Regression. This multimedia learning package includes the textbook, and downloadable learning resources including tutorial videos, prepared data sets for all examples and exercises, and solutions to all odd-numbered exercises. The text utilizes a practical, active learning style, encouraging the student to follow the example in the chapter using the corresponding downloadable data sets. Further, students have opportunities to refine their skills by working through the 10 practical exercises at the conclusion of each chapter. Each exercise consists of a concise vignette based on an actual research project, along with two data sets, offering a total of 20 exercises for students to practice processing and documenting the results. The final question in each exercise is unique; it asks the student to Write an abstract under 200 words detailing a summary of the study, the statistical test results, hypothesis resolution, and implication of these findings. This essential step helps the student make the leap from merely identifying key figures in output reports, to translating those numbers into a cohesive and concise story about their data. Tables and notation, and solutions to the abstract-writing exercises are consistent with APA style.