Statistics for Social Workers
Statistics for Social Workers by Robert W. Weinbach is a comprehensive text published by Longman Pub Group in 1997, spanning 258 pages. This fourth edition emphasizes a conceptual understanding of statistics, specifically tailored for social work practice and research. It avoids a focus on mathematical computation, instead providing insights into the logical foundations of statistical analysis and its practical applications in the field.
Readers will find that this edition includes new discussions on the limitations of random sampling in social work research and its implications for test selection. It features an appendix dedicated to the statistical analysis of program evaluation data and single system research data, effectively linking research with practice. Additionally, the book addresses design flaws such as measurement error and cultural bias, which can lead to misleading relationships between variables. New case examples are provided to illustrate the application of various statistical tests in real-world scenarios, enhancing the reader’s understanding of how to interpret results effectively.
Official synopsis Publisher
This acclaimed statistics text requires no prior knowledge of statistics, emphasizing a conceptual understanding of the topic and its usefulness to social work practice and research. Rather than focusing on mathematical computation, Statistics for Social Workers instead focuses on providing an understanding of the logical underpinnings of statistical analysis and how to apply the results of analysis in a social work practice environment. The authors have used this approach to teaching statistics for over 25 years, and it remains the most widely used book of its kind. Highlights of the Sixth Edition: * Includes new discussion of why random samples often cannot be used in social work research and how this affects the choice of tests that are appropriate for use. * New appendix covers statistical analysis of program evaluation data and single system research data, linking research and practice. * Includes expanded content on how design flaws such as measurement error, measurement bias, and cultural bias can produce spurious relationships between variables. * New case examples further clarify how various statistical tests can be used in practice and research and how their results can be interpreted.
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