Author: Thanh V. TranPublisher: Oxford University Press
ISBN: 0190496479
Category : Social Science
Languages : en
Pages : 217
Book Description
Earlier edition published as: Developing cross-cultural measurement.
Developing Cross-Cultural Measurement in Social Work Research and Evaluation
Author: Thanh V. TranPublisher: Oxford University Press
ISBN: 0190496479
Category : Social Science
Languages : en
Pages : 217
Book Description
Earlier edition published as: Developing cross-cultural measurement.
Developing Cross-Cultural Measurement
Author: Thanh V. TranPublisher: Oxford University Press
ISBN: 0190295961
Category : Social Science
Languages : en
Pages : 176
Book Description
Social workers engage in cross-cultural research in order to understand how diverse populations cope with life situations, to identify risk and protective factors across cultures, and to evaluate the effectiveness of policies and programs on the well-being of individuals from different cultures. In order to do so, it is necessary to begin with meaningful, appropriate, and practical research instruments, yet such instruments are not always readily available, or they may be misleading or biased. In this clearly written pocket guide, social work researchers will find a concise, easy-to-follow explanation of how to develop and assess cross-cultural measures that sidestep such complications and provide reliable, valid data. Using a step-by-step approach, expert cross-cultural researcher Thanh V. Tran carefully explores the issues and methodology in cross-cultural measurement development in social work research and evaluation. The book draws on existing cross-cultural research in social sciences and related areas to illustrate how to formulate research questions, select observable statistics, understand cross-cultural translation, evaluate and implement measurement equivalence, and discern quality within practices of measurement development. Tran also discusses how to use statistics software programs such as SPSS to generate data for LISREL analyses, providing enough detail to help readers grasp the programs' applications in this area but not so much as to overwhelm. This concise text offers a wealth of knowledge about using and interpreting the use of culturally relevant research instruments. Doctoral students and social researchers in the field seeking guidance in selecting and adapting such instruments in their studies, or developing and assessing their own, will find it a terrific source of essential information for their work. For additional resources, visit http://www.oup.com/us/pocketguides.
Pocket Guide to Developing Cross-Cultural Measurement in Social Work Research and Evaluation
Author: Thanh V. TranPublisher: Oxford University Press
ISBN: 9780199724048
Category : Social Science
Languages : en
Pages : 144
Book Description
Social workers engage in cross-cultural research in order to understand how diverse populations cope with life situations, to identify risk and protective factors across cultures, and to evaluate the effectiveness of policies and programs on the well-being of individuals from different cultures. In order to do so, it is necessary to begin with meaningful, appropriate, and practical research instruments, yet such instruments are not always readily available, or they may be misleading or biased. In this clearly written pocket guide, social work researchers will find a concise, easy-to-follow explanation of how to develop and assess cross-cultural measures that sidestep such complications and provide reliable, valid data. Using a step-by-step approach, expert cross-cultural researcher Thanh V. Tran carefully explores the issues and methodology in cross-cultural measurement development in social work research and evaluation. The book draws on existing cross-cultural research in social sciences and related areas to illustrate how to formulate research questions, select observable statistics, understand cross-cultural translation, evaluate and implement measurement equivalence, and discern quality within practices of measurement development. Tran also discusses how to use statistics software programs such as SPSS to generate data for LISREL analyses, providing enough detail to help readers grasp the programs' applications in this area but not so much as to overwhelm. This concise text offers a wealth of knowledge about using and interpreting the use of culturally relevant research instruments. Doctoral students and social researchers in the field seeking guidance in selecting and adapting such instruments in their studies, or developing and assessing their own, will find it a terrific source of essential information for their work. For additional resources, visit http://www.oup.com/us/pocketguides.
Applied Cross-Cultural Data Analysis for Social Work
Author: Thanh V. TranPublisher: 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.
Participant Recruitment and Retention in Intervention and Evaluation Research
Author: Audrey L. BegunPublisher: Oxford University Press
ISBN: 0190245034
Category : Reference
Languages : en
Pages : 177
Book Description
"This practical "how to" guide integrates a comprehensive, interdisciplinary review of literature, and a wealth of the authors' combined research experience into a framework for behavioral health and other investigators to successfully plan, budget, assess, engage in, analyze, and report participant recruitment and retention in intervention and evaluation research studies"--
Data Analysis with Small Samples and Non-normal Data
Author: Carl F. SiebertPublisher: Oxford University Press
ISBN: 0199391491
Category : Mathematics
Languages : en
Pages : 241
Book Description
Introduction to nonparametrics -- Analyzing single variables and single groups -- Comparing two or more independent groups -- Comparing two or more related groups -- Predicting with multiple independent variables -- Appendix -- Index
Social Work Research and Evaluation
Author: Richard M. Grinnell, Jr.Publisher: Oxford University Press
ISBN: 0199889899
Category : Social Science
Languages : en
Pages : 1196
Book Description
Over thirty years of input from instructors and students have gone into this popular research methods text, resulting in a refined ninth edition that is easier to read, understand, and apply than ever before. Using unintimidating language and real-world examples, it introduces students to the key concepts of evidence-based practice that they will use throughout their professional careers. It emphasizes both quantitative and qualitative approaches to research, data collection methods, and data analysis, providing students with the tools they need to become evidence-based practitioners.
Social Work Research and Evaluation
Author: Richard M. GrinnellPublisher: Oxford University Press, USA
ISBN: 0195301528
Category : Political Science
Languages : en
Pages : 634
Book Description
Refined with input from students and instructors who used the previous seven editions, the authors have updated, rearranged, and added to the latest edition of this popular textbook. It contains six new chapters, four on evidence-based practice, emphasizing how important it is for students to master that concept; and it lays the foundation for their understanding of it by providing a comprehensive explanation of both qualitative and quantitative research methods. This edition is more current, useful, and aesthetically pleasing than ever before, and is sure to hold its place as one of the premier textbooks for research methods courses, appreciated by students and professors alike for its user-friendliness, and renowned for the way it helps social work programs produce professional, capable social workers.
Social Work Research and Evaluation
Author: Richard M. GrinnellPublisher: Oxford University Press
ISBN: 0190859024
Category : Evaluation research (Social action programs)
Languages : en
Pages : 465
Book Description
Since the first edition in 1981, Social Work Research and Evaluation has provided graduate-level social work students with basic research and evaluation concepts to help them become successful evidence-based practitioners, evidence-informed practitioners, and practitioners who are implementing evidence-based programs. Students will gain a thorough understanding and appreciation for how the three dominant research methodologies-quantiative, qualitative, and mixed methods-will help them achieve their professional goals, regardless of their area of specialization. Written in clear, everyday language, this edition also includes the pedagogical features that will make it easy and effective for classroom use.
The Routledge Reviewer’s Guide to Mixed Methods Analysis
Author: Anthony J. OnwuegbuziePublisher: Routledge
ISBN: 1351395521
Category : Psychology
Languages : en
Pages : 407
Book Description
The Routledge Reviewer’s Guide to Mixed Methods Analysis is a groundbreaking edited book – the first devoted solely to mixed methods research analyses, or mixed analyses. Each of the 30 seminal chapters, authored by internationally renowned scholars, provides a simple and practical introduction to a method of mixed analysis. Each chapter demonstrates "how to conduct the analysis" in easy-to-understand language. Many of the chapters present new topics that have never been written before, and all chapters offer cutting-edge approaches to analysis. The book contains the following four sections: Part I Quantitative Approaches to Qualitative Data (e.g., factor analysis of text, multidimensional scaling of qualitative data); Part II Qualitative Approaches to Quantitative Data (e.g., qualitizing data, mixed methodological discourse analysis); Part III "Inherently" Mixed Analysis Approaches (e.g., qualitative comparative analysis, mixed methods social network analysis, social media analytics as mixed analysis, GIS as mixed analysis); and Part IV Use of Software for Mixed Data Analysis (e.g., QDA Miner, WordStat, MAXQDA, NVivo, SPSS). The audience for this book includes (a) researchers, evaluators, and practitioners who conduct a variety of research projects and who are interested in using innovative analyses that will allow them to extract more from their data; (b) academics, including faculty who would use this book in their scholarship, as well as in their graduate-level courses, and graduate students who need access to a comprehensive set of mixed analysis tools for their dissertations/theses and other research assignments and projects; and (c) computer-assisted data analysis software developers who are seeking additional mixed analyses to include within their software programs. Chapter 24 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
