Integrative Statistics for the Social and Behavioral Sciences
Nonfiction, Science & Nature, Mathematics, Statistics, Reference & Language, Reference, Research
| Author: | Professor James C. Ha, Professor Renee R. Ha | ISBN: | 9781452237299 |
| Publisher: | SAGE Publications | Publication: | April 4, 2011 |
| Imprint: | SAGE Publications, Inc | Language: | English |
| Author: | Professor James C. Ha, Professor Renee R. Ha |
| ISBN: | 9781452237299 |
| Publisher: | SAGE Publications |
| Publication: | April 4, 2011 |
| Imprint: | SAGE Publications, Inc |
| Language: | English |
Designed to engage students and lower their "fear factor", Integrative Statistics for the Social and Behavioral Sciences is a concise, user-friendly text that prepares students to use statistics in the real world. Providing depth and breadth of statistical tests, the text focuses on choosing the appropriate statistical analysis, and shows how to interpret the output and present the results.
Basic descriptive statistics, hypothesis testing, and basic inferential statistics are covered along with more advanced topics such as correlation, regression, non-parametric statistics, multivariate statistics, and general linear modeling. The authors emphasize choosing the appropriate statistical test through conceptual material, assumptions, homework exercises, and a helpful "choose-the-appropriate-test" flowchart. They focus on the interpretation of results from both Excel and SPSS outputs, and also demonstrate how to do important calculations by hand to help students grasp the underlying concepts. The book includes end-of-chapter exercises that helpstudents fully grasp the content of each chapter.
Designed to engage students and lower their "fear factor", Integrative Statistics for the Social and Behavioral Sciences is a concise, user-friendly text that prepares students to use statistics in the real world. Providing depth and breadth of statistical tests, the text focuses on choosing the appropriate statistical analysis, and shows how to interpret the output and present the results.
Basic descriptive statistics, hypothesis testing, and basic inferential statistics are covered along with more advanced topics such as correlation, regression, non-parametric statistics, multivariate statistics, and general linear modeling. The authors emphasize choosing the appropriate statistical test through conceptual material, assumptions, homework exercises, and a helpful "choose-the-appropriate-test" flowchart. They focus on the interpretation of results from both Excel and SPSS outputs, and also demonstrate how to do important calculations by hand to help students grasp the underlying concepts. The book includes end-of-chapter exercises that helpstudents fully grasp the content of each chapter.
