Research methods for social work / 6
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Allen Rubin, Earl R. Babbie.
- 6th ed.
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- xix, 668 p. : ill. 24 cm.
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Includes bibliographical references (p. 647-658) and index.
Introduction to scientific inquiry in social work: Why study research; Evidence-based practice; Philosophy and theory in social work research -- Ethical, political, and cultural context of social work research: Ethics and politics of social work research; Culturally competent research -- Problem formulation and measurement: Problem formulation; Conceptualization and operationalization; Measurement; Constructing measurement instruments -- Designs for evaluating programs and practices: Casual inference and correlational designs; Experimental designs; single-case evaluation designs; Program evaluation -- Data-collection methods with large sources of data: Sampling; Survey research; Analyzing existing data, quantitative and qualitative methods -- Qualitative research methods: Qualitative research, general principles; Qualitative research, specific methods; Qualitative data analysis -- Analysis of quantitative data: Quantitative data analysis; Inferential data analysis, Part 1; Inferential data analysis, Part 2 -- Writing research proposals and reports: Writing research proposals and reports; Using the library; Statistics for estimating sampling error; Proportion under normal curve exceeded by effect-size (ES) values; Learner's guide to SPSS 11.0 for windows -- Glossary.
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Rubin (social work, U. of Texas at Austin) and Babbie (Chapman U.) have increased their coverage of evidence-based practice and reorganized materials to more closely reflect current typical procedures in this practical guide to gathering and analyzing data. They approach social work research as a science but also thoroughly describe the human side, including the ethics and politics of social work research and culturally competent research. Step by step they show such processes as formulating problems, determining measurements, choosing designs for evaluating programs and practice, collecting large sources of data, using qualitative research methods, analyzing quantitative data, and writing research proposals and reports. They include very helpful appendices on using the library, statistically estimating sampling error, and using SPSS 11.0 for Windows.