Applied Cross-Cultural Data Analysis for Social Work offers practical guides for data analysis in cross-cultural research. It shows how social workers can employ commonly-used statistical approaches to make meaningful comparisons in health, mental health, social and psychological phenomena across cultural groups. The book can also be used as a textbook for advanced research course in social work and allied fields and would benefit graduate students, faculty, and researchers.
Applied Cross-Cultural Data Analysis for Social Work offers practical guides for data analysis in cross-cultural research. It shows how social workers can employ commonly-used statistical approaches to make meaningful comparisons in health, mental health, social and psychological phenomena across cultural groups. The book can also be used as a textbook for advanced research course in social work and allied fields and would benefit graduate students, faculty, and researchers.
Thanh V. Tran, PhD, MSW, is Professor, Graduate School of Social Work, Boston College. Keith T. Chan, PhD, MSW, Silberman School of Social Work, Hunter College at the City of New York.
Inhaltsangabe
* Acknowledgements * Chapter 1. Introduction * Chapter 2. Culture and Social Work * Chapter 3. Data Management and Cross-Cultural Descriptive Analysis * Chapter 4. Applied Multiple Regression Analysis in Cross-Cultural Comparisons * Chapter 5. Comparing A Binary Dependent Variable Across Cultural Groups Using Applied * Logistic Regression * Chapter 6. Applied Structural Equation Modeling for Cross-Cultural Comparison * Chapter 7. Applied Hierarchical Linear Modeling for Cross-Cultural Comparison * Chapter 8. Conclusion and Future Directions
* Acknowledgements * Chapter 1. Introduction * Chapter 2. Culture and Social Work * Chapter 3. Data Management and Cross-Cultural Descriptive Analysis * Chapter 4. Applied Multiple Regression Analysis in Cross-Cultural Comparisons * Chapter 5. Comparing A Binary Dependent Variable Across Cultural Groups Using Applied * Logistic Regression * Chapter 6. Applied Structural Equation Modeling for Cross-Cultural Comparison * Chapter 7. Applied Hierarchical Linear Modeling for Cross-Cultural Comparison * Chapter 8. Conclusion and Future Directions
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