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Chapter 1 | |
Reasoning about the Social World | |
Everyday Errors in Reasoning Overgeneralization | |
Selective or Inaccurate Observation Illogical Reasoning | |
Resistance to Change Adherence to Authority | |
The Social Scientific Approach Social Work and the Social World Social Work | |
Research and Evidence-Based Practice Striving for Validity Measurement Validity | |
Generalizability Causal Validity Social Work in Research in a Diverse Society Social Work | |
Research in Practice Descriptive Research Exploratory Research | |
Explanatory Research Evaluation Research Quantitative and Qualitative Methods | |
Strengths and Limitations of Social Work Research | |
Conclusion | |
The Process and Problems of Social Work Research | |
Social Work Research Questions Identifying Social Work Research Questions | |
Refining Social Research Questions Evaluating Social Research Questions Implications of Social Diversity and Formulating a Question Foundations of Social Work | |
Research Finding Information Reviewing Research Implications for Evidence-Based Practice Social Work Research Strategies | |
The Role of Social Theory | |
The Deductive/Inductive Cycle Descriptive Research Social Work Research | |
Philosophies Scientific Guidelines for Social Work Research Social Work | |
Research and Ethical Guidelines Honesty and Openness The Uses of Science Research on People | |
Conclusion | |
Conceptualization and Measurement | |
Concepts Conceptualization in Practice From Concepts to Observations | |
Operationalization Scales and Indexes Treatment as a Variable Gathering Data Combining Measurement | |
Operations Measurement in Qualitative Research Levels of Measurement | |
Nominal Level of Measurement Ordinal Level of Measurement | |
Interval Level of Measurement Ratio Level of Measurement | |
The Case of Dichotomies Types of Comparisons Measurement | |
Error Evaluating Measures Reliability Measurement Validity | |
Screening and Cut-off Scores Ways to Improve Reliability and Validity of Existing Measures | |
Measurement in a Diverse Society Implications for Evidence-Based Practice | |
Conclusion | |
Sampling | |
Sample Planning Define Sample Components and the Population Evaluate | |
Generalizability Assess the Homogeneity of the Population Recruitment Strategies with Diverse Populations Sampling Methods | |
Probability Sampling Probability Sampling Methods Nonprobability Sampling Methods | |
Sampling Distributions Estimating Sampling Error Determining Sampling Size | |
Implications for Evidence-Based Practice Conclusion | |
Causation and Research Design | |
Causal Explanation Nomothetic Causal Explanation | |
Idiographic Causal Explanation Research Designs and Criteria for Causal Explanations | |
Association Time Order Nonspuriousness Mechanism Context Units of Analysis and Errors in Causal Reasoning | |
Individual and Group Units of Analysis | |
The Ecological Fallacy and Reductionism Implications for Evidence-Based Practice | |
Conclusion | |
Group Experimental Designs | |
Threats to Validity Internal (Causal) | |
Validity Generalizability True Experiments Experimental and Comparison Groups | |
Randomization Pretest and Posttest Measures Types of True Experimental Designs | |
Difficulties in True Experiments in Agency-Based Research | |
The Limits of True Experimental Designs Quasi-Experiments Nonequivalent Control | |
Group Designs Time Series Designs Ex Post Facto Control Group D | |
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