This second edition of The Social Work Student's Research Handbook provides an essential guide for social work students beginning to participate in research. Practical and easy to use, this comprehensive handbook provides instant access to the nuts and bolts of social work research. Each chapter in this second edition has been updated to reflect the dynamic and changing nature of social work research, and three new topical chapters have been included that offer new food for thought on research context and ethics and on the role of evidence in professional practice.
The book is intended as a resource to complement the dense and heavy research books available. This text provides the tools students need to fully engage with their research and is an essential reference aid for use alongside professional literature for selecting a problem for social work study with consideration of context and ethics; identifying a design type; developing or selecting an instrument; developing a sampling strategy; collecting and analyzing data; and organizing, writing, disseminating, and utilizing results in a politically sensitive way.
The Social Work Student’s Research Handbook is an invaluable resource for undergraduate and graduate social work students as well as practitioners new to the field as they apply what they’ve learned in research courses toward consuming research effectively, implementing original research projects, and ultimately, toward becoming an evidence-based practitioner.
Introduction 1. Social Work Research: Context and Politics 2. Ethics 3. Evidence and Professional Social Work Practice 4. Problem Formulation: What to Study 5. Using the Literature 6. Working from Questions or Hypotheses 7. Variables 8. Assumptions 9. Design Options 10. Exploratory Design 11. Descriptive Design 12. Experimental Design 13. Correlational Design 14. Plausible Alternative Explanations 15. Practice Evaluation 16. Program Evaluation 17. Working Toward Reliability and Validity 18. Sampling 19. Data Collection 20. Data Analysis: An Overview 21. Qualitative Data Analysis: Making Sense of Words 22. Quantitative Data Analysis: Making Sense of Descriptive Statistics 23. Quantitative Data Analysis: Making Sense of Inferential Statistics 24. Tests of Statistical Significance 25. Wrapping It Up