Statistics and Data Interpretation for Social Work

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Springer Publishing Company, Dec 16, 2011 - Mathematics - 485 pages
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Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice.

The first section introduces basic concepts and terms to provide a solid foundation in statistics. It also addresses tools used by researchers to describe and summarize data ranging from single variables to assessing the relationship between variables and cause and effect among variables. The second section focuses on inferential statistics, describing how researchers draw conclusions about whole populations based on data from samples. This section also covers confidence intervals and a variety of significance tests for examining relationships between different types of variables. Additionally, tools for multivariate analyses and data interpretation are presented.

Key Features:

  • Addresses the role of statistics in evidence-based practice and program evaluation
  • Features examples of qualitative and quantitative analysis
  • Each chapter contains exercise problems and questions to enhance student learning
  • Includes electronic data sets taken from actual social work arenas
  • Offers a full ancillary digital packet including a student guide to SPSS with accompanying Data Set, an Instructor's Manual, PowerPoint slides, and a Test Bank

 

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Contents

Acknowledgement
1
Part I Introduction and Decriptive Statistics
2
Part II Inferential Statistics and Data Interpretation
160
Appendix A Tables
401
Appendix B Review of Basic Math
409
Appendix C Appropriate Measures for Different Situations
415
Appendix D Symbols in the Text
419
Appendix E Formulas in the Text
421
Appendix F Answers To EndOfChapter Problems and Questions
425
Notes
453
References
467
Index
469
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