Using and interpreting statistics in the social, behavioral, and health sciences
Material type: TextPublication details: California Sage 2019Description: xiii,213p. illustrationsISBN: 9781526402493 Subject(s): Statistics | Social sciences | Medical sciencesDDC classification: 001.422 Summary: 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 with any undergraduate introduction to research methods text used by students in a variety of disciplines. It introduces students to statistics at the conceptual level—examining the meaning of statistics, and why researchers use a particular statistical technique, 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.Item type | Current library | Call number | Status | Date due | Barcode |
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BK | Stack | 001.422 WAG/U (Browse shelf (Opens below)) | Available | 51236 |
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001.422 SCH/E An easy guide to research design & SPSS | 001.422 SCH/S Statistical methods for spatial data analysis / | 001.422 STO/C Collecting, managing, and assessing data using sample surveys | 001.422 WAG/U Using and interpreting statistics in the social, behavioral, and health sciences | 001.4226 AND/P Presenting statistical results effectively | 001.4226 BRA/V Visualizing with text | 001.4226 KIR/D Data visualisation : a handbook for data driven design |
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 with any undergraduate introduction to research methods text used by students in a variety of disciplines. It introduces students to statistics at the conceptual level—examining the meaning of statistics, and why researchers use a particular statistical technique, 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.
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