Applied Cross Cultural Data Analysis For Social Work
Download Applied Cross Cultural Data Analysis For Social Work PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Applied Cross Cultural Data Analysis For Social Work book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Applied Cross-Cultural Data Analysis for Social Work
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
"This chapter is an introduction to applied cross-cultural data analysis, and addressed the concepts of culture and how culture can be integrated into social work research. We review the definition of culture and how it has been understood and examined in research across different disciplines. We present an overview of the theories and frameworks of cross-cultural analysis, and provide the lens through which culture is examined through the techniques and approaches that are used in this book"--
Applied Cross-Cultural Data Analysis for Social Work
Author: Thanh V. Tran
language: en
Publisher: Oxford University Press
Release Date: 2021-07-06
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.