Research Methods & Data Analysis for Multicultural Social Work and Human Services introduces research methodology to social work students and practitioners. It provides hands-on examples of how to conduct data analysis in SPSS and Stata. It equips readers with the skills needed to become critical research consumers and to engage in agency-based research and evaluation. The text teaches students how to collect appropriate data and analyze data that is suitable for each type of research design. It prepares them to conduct applied social science research in a variety of fields, such as health and mental health, ethnic studies, acculturation, family violence, LGBT studies, and more. Topics addressed include the process of research, ethical issues, the validity and reliability of research instruments, design types, and relevant statistical tools. Research Methods & Data Analysis for Multicultural Social Work and Human Services provides a solid foundation and knowledge base for students and researchers. It is an excellent resource for undergraduate and graduate level research methods and design classes and courses on research and statistics in social work. Thanh V. Tran holds a Ph.D. and a master of science degree in social work from the School of Social Work at the University of Texas, Arlington. Dr. Tran is a professor in the Boston College School of Social Work in Chestnut Hill, Massachusetts. Ce Shen earned a Ph.D. in sociology at Boston College in Chestnut Hill and is now an associate professor in the college's School of Social Work. Siyon Rhee earned a Ph.D. at the School of Social Welfare, University of California, Los Angeles. Dr. Rhee teaches in the School of Social Work at California State University, Los Angeles.

Research Methods & Data Analysis for Multicultural Social Work and Human Services introduces research methodology to social work students and practitioners. It provides hands-on examples of how to conduct data analysis in SPSS and Stata. It equips readers with the skills needed to become critical research consumers and to engage in agency-based research and evaluation. The text teaches students how to collect appropriate data and analyze data that is suitable for each type of research design. It prepares them to conduct applied social science research in a variety of fields, such as health and mental health, ethnic studies, acculturation, family violence, LGBT studies, and more. Topics addressed include the process of research, ethical issues, the validity and reliability of research instruments, design types, and relevant statistical tools. Research Methods & Data Analysis for Multicultural Social Work and Human Services provides a solid foundation and knowledge base for students and researchers. It is an excellent resource for undergraduate and graduate level research methods and design classes and courses on research and statistics in social work.

"Multicultural Social Work Research Methods and Data Analysis" introduces research methodology to social work students and practitioners. It provides hands-on examples of how to conduct data analysis in SPSS, Stata, and Excel. It equips readers with the skills needed to become critical research consumers and to engage in agency-based research and evaluation. The text teaches students how to collect appropriate data and analyze data that is suitable for each type of research design. It prepares them to conduct applied social science research in a variety of fields, such as health and mental health, ethnic studies, acculturation, family violence, LGBT studies, and more. Topics addressed include the process of research, ethical issues, the validity and reliability of research instruments, design types, and relevant statistical tools. "Multicultural Social Work Research Methods and Data Analysis" provides a solid foundation and knowledge base for students and researchers. It is an excellent resource for undergraduate and graduate level research methods and design classes and courses on research and statistics in social work. Thanh V. Tran holds a Ph.D. and a MSSW from the School of Social Work at the University of Texas, Arlington. Dr. Tran is a professor in the Boston College School of Social Work in Chestnut Hill, Massachusetts. Siyon Rhee earned a Ph.D. at the School of Social Welfare, University of California, Los Angeles. Dr. Rhee teaches in the School of Social Work at California State University, Los Angeles. Ce Shen earned a Ph.D. in sociology at Boston College in Chestnut Hill and is now an associate professor in the college's School of Social Work.

Note: This is the bound book only and does not include access to MyEducationLab® with Pearson eText. To order MyEducationLab® with Pearson eText packaged with the bound book, use ISBN 0134491130. For courses in Research Methods in Social Work. Helps current and future social work professionals become evidence-based practitioners. Research Methods for Social Workers, Eighth Edition is written in a crisp, straightforward style and refers to contemporary social work practice on virtually every page. Examples are real and reflect situations that social workers encounter every day. The authors present research as a logical, non-intimidating activity that is inextricably linked to social work practice. The text contains no unnecessary research terminology or references to obscure understanding, and necessary terminology is italicized and explained. Even students with no prior research background will find it interesting and easy to understand. All content is consistent with both current Council on Social Work Education (CSWE) accreditation standards and curriculum policy guidelines. This revision is now a part of Pearson Education’s Connecting Core Competencies series–comprised of foundation-level texts that foster student success in learning the core competencies as stated in 2015 by the Council on Social Work Education. Also available with MyEducationLab® This title is also available with MyEducationLab - an online homework, tutorial, and assessment program designed to work with the text to engage students and improve results. Within its structured environment students practice what they've learned, test their understanding, and receive feedback to guide their learning and ensure they master key learning outcomes.

Social work professionals must have a deep understanding of research methods to effectively serve their clients and communities. In this comprehensive guide, Christine Marlow emphasizes this link between research and practice. She focuses on the relevance of research methods within agency work, where most social work graduates will be employed, rather than strictly an academic setting. With a focus on generalist social work practice, she offers a clear and concise overview of the research process, including identifying research questions, selecting appropriate research designs, and analyzing data. Using real-world examples and case studies, Marlow helps readers understand how research can be used to inform social work practice and drive positive change in communities. With a strong emphasis on ethics and cultural competence, this text prepares social work students and professionals to conduct research that is both effective and socially responsible.

Representing some of the best research efforts currently found among social workers, Quantitative Methods in Social Work serves as both a guide and a challenge to social work researchers interested in the application of quantitative methods to social work problem solving. This application of research methods has not been described or discussed adequately in any formal way until now. In a comprehensive manner, this book documents the most advanced quantitative methodologies currently applied by social work researchers and describes issues and techniques that accompany specific applications. It increases social workers'understanding of state-of-the-art applied statistical analysis, enabling them to become more competent and competitive in research and the teaching of research strategies. Quantitative Methods in Social Work addresses three types of methodological issues: measurement, the incorporation of nonquantitative variables in quantitative data analysis, and the use of quantitative analytic techniques to model and assess complex social phenomena. Chapters cover the use of computers for content analysis, structural equation modeling in measurement, logistic regression, loglinear analysis, event history analysis, social network analysis, and discussions of moderator variables and interaction effects in multiple regression. Social work faculty and doctoral students, along with other human service professionals who want to increase their understanding of applied statistical analysis in social and behavioral research, will find the information they need in this informative book.