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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.

This is a comparative analysis of the micro and macro characteristics of self-help organizations of people with disabilities (SHOPs) in seven selected countries and territories in Asia, namely China Mainland, Hong Kong, Japan, the Philippines, Taiwan, Thailand, and Vietnam. Since the 1980s, SHOPs have prospered in this region and were given a major role in the United Nations'forum and the International Year of Disabled Persons in 1981. The analysis shows the differences among the SHOPs in terms of the complexity of their structure, government's affirmative policy, legislation, and leadership qualities. These differences are due to the complex interplay among factors at local, national, and international levels.SHOPs in this region present a rather homogenous perception in their organization, leadership, social inclusion, and globalization, despite the marked differences in their societies. SHOPs tends to be domocratic and consensual in nature, and led by elected members with assistance from paid professional and clerical support. The self-help organizations are positively regarded in these countries.