IBM SPSS for Introductory Statistics Use and Interpretation 2nd Edition by George Morgan, Nancy Leech, Gene Gloeckner, Karen Barrett – Ebook PDF Instant Download/Delivery. 0805847898, 9780805847895
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Product details:
ISBN 10: 0805847898
ISBN 13: 9780805847895
Author: George A. Morgan; Nancy L. Leech; Gene W. Gloeckner; Karen C. Barrett
This book distinguishes itself from other SPSS resources through its unique integration of the research process (including design) and the use and interpretation of the statistics. Designed to help students analyze and interpret research data, the authors demonstrate how to choose the appropriate statistic based on the research design, interpret SPSS output, and write about the output in a research paper. The authors describe the use and interpretation of these statistics in user-friendly, non-technical language. The book prepares students for all of the steps in the research process, from design and data collection, to writing about the results. The new edition features SPSS 14.0 for Windows, but can also be used with older and newer versions. There are also new problems, expanded discussions of effect sizes, and an expanded appendix on getting started with SPSS. The book features discussions of writing about outputs, data entry and checking, reliability assessment, testing assumptions, and descriptive, inferential, and nonparametric statistics. Several related statistics are included in each chapter. SPSS syntax, along with the output, is included for those who prefer this format. Two realistic data sets are available on the book’s CD and are used to solve the end of chapter problems.
IBM SPSS for Introductory Statistics Use and Interpretation 2nd Table of contents:
- Variables, Research Problems and Questions
- Data Coding, Entry, and Checking
- Measurement and Descriptive Statistics
- Understanding Your Data and Checking Assumptions
- Selecting and Interpreting Inferential Statistics
- Cross-Tabulation, Chi-Square, and Nonparametric Measures of Association
- Correlation and Regression
- Comparing Groups with t Tests and Similar Nonparametric Tests
- Analysis of Variance (ANOVA)
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