Social Work Research methods with Research Navigator
by Kreuger, Larry W.; Neuman, W. LawrenceRent Textbook
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Summary
Table of Contents
| Preface | |
| Research Navigator | |
| Foundations | |
| 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 | |
| Dimensions of Social Work Research | |
| Dimensions of Research | |
| Empowerment Research | |
| Data Collection Techniques Used | |
| The Role of Diversity | |
| The Role of Technology | |
| 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 | |
| The Meanings of Methodology | |
| The Three Traditional Approaches | |
| Positivist Social Science | |
| Interpretive Social Science | |
| Critical Social Science | |
| A Fourth Approach: Feminist and Postmodern Research | |
| 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 | |
| Planning And Preparation | |
| 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 | |
| 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 | |
| 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 | |
| Quantitative Data Collection And Analysis | |
| Experimental Research | |
| Random Assignment | |
| Experimental Design Logic | |
| Internal and External Validity | |
| Practical Considerations | |
| Results of Experimental Research: Making Comparisons | |
| A Word on Ethics | |
| Survey Research | |
| The Logic of Survey Research | |
| Constructing the Questionnaire | |
| Types of Surveys: Advantages and Disadvantages | |
| Interviewing | |
| The Ethical Survey | |
| Nonreactive Research and Available Data | |
| Nonreactive Measurement | |
| Existing Statistics/Documents and Secondary Analysis | |
| Social Indicators | |
| Issues of Inference and Theory Fitting | |
| Analyzing Quantitative Data | |
| Table of Contents provided by Publisher. All Rights Reserved. |
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