Applied Cross-Cultural Data Analysis for Social Work
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.
Publisher Name | Oxford University Press USA |
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Author Name | Hagendorf, Col |
Format | Audio |
Bisac Subject Major | SOC |
Language | NG |
Isbn 10 | 0190888512 |
Isbn 13 | 9780190888510 |
Target Age Group | min:NA, max:NA |
Dimensions | 00.00" H x 00.00" L x 00.00" W |
Page Count | 312 |
Thanh V. Tran, PhD, MSW, is Professor, Graduate School of Social Work, Boston College.
Keith T. Chan, PhD, MSW, is Assistant Professor, School of Social Welfare, SUNY Albany.