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Using statistics in the social and health sciences with SPSS and Excel / |
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Martin Lee Abbott. |
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Hoboken, New Jersey : |
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John Wiley & Sons, |
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[2017]46 |
| 300 ## - PHYSICAL DESCRIPTION |
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1 online resource. |
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Descriptive statistics : central tendency -- Descriptive statistics : variability -- The normal distribution -- Probability and the Z distribution -- Research design and inferential statistics -- The T test for single samples -- Independent sample T test -- Analysis of variance -- Factorial anova -- Correlation -- Bivariate regression -- Introduction to multiple linear regression -- Chi-square and contingency table analysis -- Repeated measures procedures |
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In the title, both SPSS and Excel are accompanied by the trademark symbol. Provides a step-by-step approach to statistical procedures to analyze data and conduct research, with detailed sections in each chapter explaining SPSSr and Excelr applications This book identifies connections between statistical applications and research design using cases, examples, and discussion of specific topics from the social and health sciences. Researched and class-tested to ensure an accessible presentation, the book combines clear, step-by-step explanations for both the novice and professional alike to understand the fundamental statistical practices for organizing, analyzing, and drawing conclusions from research data in their field. The book begins with an introduction to descriptive and inferential statistics and then acquaints readers with important features of statistical applications (SPSS and Excel) that support statistical analysis and decision making. Subsequent chapters treat the procedures commonly employed when working with data across various fields of social science research. Individual chapters are devoted to specific statistical procedures, each ending with lab application exercises that pose research questions, examine the questions through their application in SPSS and Excel, and conclude with a brief research report that outlines key findings drawn from the results. Real-world examples and data from social and health sciences research are used throughout the book, allowing readers to reinforce their comprehension of the material. Using Statistics in the Social and Health Sciences with SPSSr and Excelr includes: Use of straightforward procedures and examples that help students focus on understanding of analysis and interpretation of findings Inclusion of a data lab section in each chapter that provides relevant, clear examples Introduction to advanced statistical procedures in chapter sections (e.g., regression diagnostics) and separate chapters (e.g., multiple linear regression) for greater relevance to real-world research needs Emphasizing applied statistical analyses, this book can serve as the primary text in undergraduate and graduate university courses within departments of sociology, psychology, urban studies, health sciences, and public health, as well as other related departments. It will also be useful to statistics practitioners through extended sections using SPSSr and Excelr for analyzing data. Martin Lee Abbott, PhD, is Professor of Sociology at Seattle Pacific University, where he has served as Executive Director of the Washington School Research Center, an independent research and data analysis center funded by the Bill & Melinda Gates Foundation. Dr. Abbott has held positions in both academia and industry, focusing his consulting and teaching in the areas of statistical procedures, program evaluation, applied sociology, and research methods. He is the author of Understanding Educational Statistics Using Microsoft Excelr and SPSSr, The Program Evaluation Prism: Using Statistical Methods to Discover Patterns, and Understanding and Applying Research Design, also from Wiley. |
| Uniform Resource Identifier |
<a href=""></a> |
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Data processing.;Data processing.;Statistical methods.;Statistical methods. |
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Mathematical statistics;Multivariate analysis;Social sciences;Medical sciences;Microsoft Excel (Computer file).;SPSS (Computer file). |
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Electronic books. |
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