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Sample-Size Determination in Quantitative Social Work Research
A researcher's decision about the sample to draw in a study may have an enormous impact on the results, and it rests on numerous statistical and practical considerations that can be difficult to juggle. Computer programs help, but no single software package exists that allows researchers to determine sample size across all statistical procedures. This pocket guide shows social work students, educators, and researchers how to prevent some of the mistakes that would result from a wrong sample size decision by describing and critiquing four main approaches to determining sample size. In concise, example-rich chapters, Dattalo covers sample-size determination using power analysis, confidence int...
Analysis of Multiple Dependent Variables
Multivariate procedures allow social workers and other human services researchers to analyze complex, multidimensional social problems and interventions in ways that minimize oversimplification. This pocket guide provides a concise, practical, and economical introduction to four procedures for the analysis of multiple dependent variables: multivariate analysis of variance (MANOVA), multivariate analysis of covariance (MANCOVA), multivariate multiple regression (MMR), and structural equation modeling (SEM). Each procedure will be presented in a way that allows readers to compare and contrast them in terms of (1) appropriate research context; (2) required statistical assumptions, including lev...
The Dissertation
Many otherwise strong doctoral students get stuck at the dissertation stage, but this trusty guide takes students from the early planning phase to finishing the final draft. It contains straightforward advice for each stage of the dissertation process: selecting a chair, completing the literature review, developing a hypothesis, selecting a study sample and appropriate measures, managing and analyzing both quantitative and qualitative data, establishing good writing habits, and overcoming obstacles to completing the dissertation on schedule.Practical guidelines, tips and strategies, and action steps checklists in each chapter make this a handy pocket guide for students as well as advisors seeking a comprehensive, unintimidating road map to the social work dissertation.
Data Analysis with Small Samples and Non-normal Data
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
Participant Recruitment and Retention in Intervention and Evaluation Research
"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"--
Strategies to Approximate Random Sampling and Assignment
This book is a single source of a diverse set of tools that will maximize a study's validity when RS and RA are neither possible nor practical. Readers are guided in selecting and implementing an appropriate strategy, including exemplar sampling, sequential sampling, randomization tests, multiple imputation, and much more.
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"--
Conducting Research in Juvenile and Criminal Justice Settings
This pocket guide provides state-of-the-art techniques for researchers, graduate students, and agency administrators. Readers will encounter a wide range of study types and data sources, along with strengths and weaknesses to consider with each as they conceptualize, implement, and analyze their research.
Group Work Research
This book takes the reader through all the phases of designing and implementing group work research -- that is, formulating a research question, developing hypotheses, selecting instruments, and disseminating.
Basic Statistics in Multivariate Analysis
This pocket guide introduces readers to linear regression analysis, analysis of variance and covariance, and path analysis with an emphasis on the basic statistics. It prepares doctoral students and early career social work researchers with limited statistics exposure in the use of multivariate methods by providing an easy-to-understand presentation.
