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This comprehensive text contains introductory/intermediate coverage of qualitative and quantitative social work research and evaluation applications for undergraduate and graduate social work students.

Adapted from Neuman's best-selling text, Social Research Methods , this text shows students that social work research does not take place in a vacuum-that the social and political context of the social work field will affect how they conduct their research. Balanced between quantitative and qualitative approaches to research, this new text places great emphasis on diversity and ethics in research.

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• Preface
• Research Navigator
• I Foundations
• 1 Science and Social Work Research
• Alternatives to Social Work Research
• How Science Works
• Steps in the Research Process
• Qualitative and Quantitative Social Work Research
• Why Conduct Social Work Research
• 2 Dimensions of Social Work Research
• Dimensions of Research
• Empowerment Research
• Data Collection Techniques Used
• The Role of Diversity
• The Role of Technology
• 3 Theory and Research
• What Is Theory?
• Theory Versus Ideology
• Fact Versus Theory
• Theories in Social Work/Illustrative Authors
• Theory and Research: The Dynamic Duo
• The Role of Diversity
• 4 The Meanings of Methodology
• The Three Traditional Approaches
• Positivist Social Science
• Interpretive Social Science
• Critical Social Science
• A Fourth Approach: Feminist and Postmodern Research
• 5 The Ethics and Politics of Social Work Research
• Ethics and the Researcher
• Ethical Issues Involving Human Subjects
• Boundaries Between Research and Practice
• Ethics and the Scientific Community
• The Politics of Research
• Limits on What Researchers Study and How They Do Research
• The Dissemination and Use of Research Findings
• Objectivity and Value Freedom
• How Technology Can Be Used to Preserve Privacy
• How Diversity Informs Ethical Issues
• II Planning And Preparation
• 6 Qualitative and Quantitative Research Design
• Qualitative and Quantitative Orientations Toward Research
• Quantitative Design Issues
• Refining Research Topics: Quantitative Research
• Qualitative Design Issues
• Refining Research Topics: Qualitative Research
• Example Studies: Quantitative Research
• Example Studies: Qualitative Research
• 7 Qualitative and Quantitative Measurement
• Why Measure?
• Quantitative and Qualitative Measurement
• Parts of the Measurement Process
• Reliability and Validity
• A Guide to Quantitative Measurement
• Index Construction
• Scales
• 8 Qualitative and Quantitative Sampling
• Nonprobability Sampling: Haphazard, Accidental, and Convenience Sampling
• Quota, Purposive, and Judgmental Sampling
• Snowball, Extreme Case, and Sequential Sampling
• Theoretical Sampling
• Probability Sampling: Populations, Elements, and Sampling Frames
• Why Random?
• Types of Probability Samples
• Hidden Populations
• How Large Should a Sample Be?
• Drawing Inferences
• III Quantitative Data Collection And Analysis
• 9 Experimental Research
• Random Assignment
• Experimental Design Logic
• Internal and External Validity
• Practical Considerations
• Results of Experimental Research: Making Comparisons
• A Word on Ethics
• 10 Survey Research
• The Logic of Survey Research
• Constructing the Questionnaire
• Types of Surveys: Advantages and Disadvantages
• Interviewing
• The Ethical Survey
• 11 Nonreactive Research and Available Data
• Nonreactive Measurement
• Existing Statistics/Documents and Secondary Analysis
• Social Indicators
• Issues of Inference and Theory Fitting
• 12 Analyzing Quantitative Data