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Applied Cross-Cultural Data Analysis for Social Work (Paperback)
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Applied Cross-Cultural Data Analysis for Social Work (Paperback)
Series: Pocket Guide to Social Work Research Methods
Expected to ship within 12 - 17 working days
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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.
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