Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences
Nonfiction, Social & Cultural Studies, Social Science
| Author: | Dr. William E. Wagner, Brian Joseph Gillespie | ISBN: | 9781544321097 |
| Publisher: | SAGE Publications | Publication: | February 28, 2018 |
| Imprint: | SAGE Publications, Inc | Language: | English |
| Author: | Dr. William E. Wagner, Brian Joseph Gillespie |
| ISBN: | 9781544321097 |
| Publisher: | SAGE Publications |
| Publication: | February 28, 2018 |
| Imprint: | SAGE Publications, Inc |
| Language: | English |
Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences by William E. Wagner, III and Brian J. Gillespie is designed to be paired withany undergraduate introduction to researchmethods text used by students in a varietyof disciplines. It introduces students tostatistics at the conceptual level—examining the meaning of statistics, and whyresearchers use a particular statisticaltechnique, rather than computational skills. Focusing on descriptive statistics, and some more advanced topics such as tests of significance, measures of association, and regression analysis, this brief, inexpensive text is the perfect companion to help students who have not yet taken an introductory statistics course or are confused by the statistics used in the articles they are reading.
Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences by William E. Wagner, III and Brian J. Gillespie is designed to be paired withany undergraduate introduction to researchmethods text used by students in a varietyof disciplines. It introduces students tostatistics at the conceptual level—examining the meaning of statistics, and whyresearchers use a particular statisticaltechnique, rather than computational skills. Focusing on descriptive statistics, and some more advanced topics such as tests of significance, measures of association, and regression analysis, this brief, inexpensive text is the perfect companion to help students who have not yet taken an introductory statistics course or are confused by the statistics used in the articles they are reading.
