Measurement refers generally to the process of assigning a numeric value to, or ordering characteristics or traits of, entities under study. Measurement is necessary for building and testing theory, specifying problems, and defining goals. It is arguably one of the most important and diffcult tasks in social work research. Social work researchers who are not expert in developing, selecting, and using measures will not be able to contribute maximally to the social work knowledge base. Such knowledge and skills related to measurement ultimately determines the extent to which social work...

Finally, a practical guide to mixed methods research has been written with health and human services professionals in mind. Watkins and Gioia review the fundamentals of mixed methods research designs and the general suppositions of mixed methods procedures, look critically at mixed method studies and models that have already been employed in social work, and reflect on the contributions of this work to the field. But what is most important is that they lead the reader through considerations for the application of the mixed methods research in social work settings. The chapters of this book...

Content Analysis offers a comprehensive overview of the variation within content analysis, along with detailed descriptions of three approaches found in the contemporary literature: basic content analysis, interpretive content analysis and qualitative content analysis. This book provides an inclusive, and carefully differentiated, examination of contemporary content analysis research purposes and methods. Such a book is not currently available. Chapter One examines the conceptual base and history of content analysis, then the next three chapters examine each approach to content analysis in...

Developing Cross-Cultural Measurement in Social Work Research and Evaluation, Second Edition is an applied practice-to-research text, with a focus on developing, assessing, and validating meaningful measurements across cultures and populations. This book deeply examines cultural differences that may present problems with measurements for target populations relevant to social work researchers, and features practical hands-on solutions to managing these problems using advanced quantitative methods. The authors present a step-by step approach, beginning with the conceptualization of...

In social sciences, education, and public health research, researchers often conduct small pilot studies (or may have planned for a larger sample but lost too many cases due to attrition or missingness), leaving them with a smaller sample than they expected and thus less power for their statistical analyses. Similarly, researchers may find that their data are not normally distributed -- especially in clinical samples -- or that the data may not meet other assumptions required for parametric analyses. In these situations, nonparametric analytic strategies can be especially useful, though they...