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Author: Thanh V. Tran Publisher: Cognella Academic Publishing ISBN: 9781516507351 Category : Social service Languages : en Pages : 324
Book Description
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.
Author: Thanh V. Tran Publisher: Cognella Academic Publishing ISBN: 9781516507351 Category : Social service Languages : en Pages : 324
Book Description
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.
Author: Thanh V. Tran Publisher: ISBN: 9781516553235 Category : Social Science Languages : en Pages : 340
Book Description
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.
Author: Thanh V. Tran Publisher: Cognella Academic Publishing ISBN: 9781626613324 Category : Social service Languages : en Pages : 304
Book Description
"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.
Author: Reginald O. York Publisher: SAGE Publications ISBN: 1506387209 Category : Social Science Languages : en Pages : 545
Book Description
Social Work Research Methods: Learning by Doing is a step-by-step journey through the process of conducting research. With over 30 years of teaching experience, author Reginald O. York helps readers discover how research can enable them to better serve clients in the field. Each chapter features a hands-on approach to producing research, with practical chapter exercises that reinforce methods mastery. Using their own data, students engage in realistic research activities and gain an appreciation for science-informed practice as a means of evaluating client outcomes.
Author: Bruce Thyer Publisher: SAGE ISBN: 9780761919056 Category : Political Science Languages : en Pages : 564
Book Description
This volume is the definitive resource for anyone doing research in social work. It details both quantitative and qualitative methods and data collection, as well as suggesting the methods appropriate to particular types of studies. It also covers issues such as ethics, gender and ethnicity, and offers advice on how to write up and present your research.
Author: Christine R. Marlow Publisher: Waveland Press ISBN: 147865130X Category : Social Science Languages : en Pages : 344
Book Description
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.
Author: Bruce Thyer Publisher: SAGE Publications ISBN: 1483351319 Category : Social Science Languages : en Pages : 673
Book Description
Click on the Supplements tab above for further details on the different versions of SPSS programs. The canonical Handbook is completely updated with more student-friendly features The Handbook of Social Work Research Methods is a cutting-edge volume that covers all the major topics that are relevant for Social Work Research methods. Edited by Bruce Thyer and containing contributions by leading authorities, this Handbook covers both qualitative and quantitative approaches as well as a section that delves into more general issues such as evidence based practice, ethics, gender, ethnicity, International Issues, integrating both approaches, and applying for grants. New to this Edition More content on qualitative methods and mixed methods More coverage of evidence-based practice More support to help students effectively use the Internet A companion Web site at www.sagepub.com/thyerhdbk2e containing a test bank and PowerPoint slides for instructors and relevant SAGE journal articles for students. This Handbook serves as a primary text in the methods courses in MSW programs and doctoral level programs. It can also be used as a reference and research design tool for anyone doing scholarly research in social work or human services.
Author: Brett Drake Publisher: Allyn & Bacon ISBN: 9780205460977 Category : Research Languages : en Pages : 0
Book Description
Social Work Research Methods is a stand alone "how-to" social research text that covers conceptualization, design, implementation, data management, and statistical analysis with comprehensively detailed examples. It provides students with everything they need to learn about social science research, and how complete a research project from start to finish. In addition, the text's research process is covered sequentially, in a straightforward "how-to" format. It discusses values and ethics, conceptualization, design, familiarization with key computer programs (Microsoft Excel, SAS, SPSS and NVIVO), analyses, implementation and dissemination. It is also written in a tone that is intentionally light-hearted to increase student interest and comfort level by addressing often overlooked aspects of conducting research (e.g. data management, IRB clearance, and grant development) in detail. Key highlights of the text include five example research projects. These example projects are presented in their entirety; including how the researchers chose their areas of interest, how they executed their literature reviews (annotated citation lists are given), and how they designed, implemented, and disseminated (poster, article, agency report, or PowerPoint presentation) their work.
Author: Thanh V. Tran Publisher: Oxford University Press ISBN: 0190888547 Category : Social Science Languages : en Pages : 313
Book Description
Applied Cross-Cultural Data Analysis for Social Work is a research guide for examining and interpreting data for the purpose of cultural group comparisons. This book aims to provide practical applications in statistical approaches of data analyses that are commonly used in cross-cultural research and evaluation. Readers are presented with step-by-step illustrations in the use of descriptive, bivariate, and multivariate statistics to compare cross-cultural population using large-scale, population-based survey data. These techniques have important applications in health, mental health, and social science research relevant to social work and other helping professions, especially in providing a framework of evidence to examine health disparities using population-health data. For each statistical approach discussed in this book, Thanh V. Tran and Keith T. Chan explain the underlying purpose, basic assumptions, types of variables, application of the Stata statistical package, the presentation of statistical findings, and the interpretation of results. Unlike previous guides on statistical approaches and data analysis in social work, this book explains and demonstrates the strategies of cross-cultural data analysis using descriptive and bivariate analysis, multiple regression, additive and multiplicative interaction, mediation, SEM and HLM for subgroup analysis and cross-cultural comparisons. This book also includes sample syntax from Stata for social work researchers to conduct cross-cultural analysis with their own research.
Author: Thanh V. Tran
Author: Thanh V. Tran
Author: Thanh V. Tran
Author: Thanh V. Tran
Author: Thanh V. Tran
Author: Reginald O. York
Author: Bruce Thyer
Author: Christine R. Marlow
Author: Bruce Thyer
Author: Brett Drake
Author: Thanh V. Tran