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Book Review: The Social Work Interview

Methods: An Introduction to Diary and Experience Sampling Research takes the methodological challenges seriously and endeavors to provide the reader with a generous cache of reporting techniques to best represent the data and answer the relevant research questions without compromising intelligibility or reliability. Chapter 6 extends this same effort to categorical outcomes in intensive longitudinal designs, offering up a primer on creating and reporting a generalized linear model that is robust and cohesive with even the most complex and variant of data. Intensive longitudinal methods are of particular interest in psychometrics, and Chapter 7 provides a critical evaluation of the application of a data set in determining latent behavioral constructs. To do so, the authors provide an example study, using 50 subjects recording mood changes in diaries on 10 consecutive days. The sample study is comprehensively described and the chapter includes several important asides, describing necessary steps in structuring a study, collecting and organizing data, and preventing common measurement pitfalls, such as controlling for random error and calculating reliability. While acknowledged by the authors, one critical mark on this (and later) chapters is the emphasis on within-subjects comparisons, without much mention of comparable methods for betweensubjects studies. Moving from individuals to distinguishable dyads, the text examines dyadic studies in Chapter 8, with particular emphasis on relationship satisfaction. This chapter is of particular import for social work researchers who are interested in salient social problems and stressors faced by contemporary families. Also, the intensive longitudinal model demonstrated is a useful resource for bolstering coupleand group-based research within social work, with strong guides for reporting results and using illustrative and tabular data to support those results. Chapter 9 addresses the development of intensive longitudinal models within mediation studies. This new and complex form of data analysis is well supported with several references from the emerging literature on the topic and shows its promise in various therapeutic and social psychological venues. The chapter, rather than being ‘‘stand alone,’’ relies and builds upon the earlier statistical chapters and the dyadic chapter to put forth a compelling argument for how, in Bolger and Laurenceau’s (2013) words, ‘‘a mediation process can be demonstrated within each subject over time, and between-subjects differences . . . can be evaluated, quantified, and modeled’’ (p. 194). The final chapter of the book explores the topic of effect size and statistical power in intensive longitudinal designs. Each design is explored in terms of power, in turn, with several examples and asides detailing how researchers can best adapt models to explore specific variables, group variance, and assessing reliability. The authors conclude the book with a brief meditation on how to make the most of the method and explore avenues for further research. As social work researchers and practitioners often attempt to draw robust data while maintaining close connections with their research participants, the conclusions and suggestions provided here are sure to demonstrate an enthusiastic response within both research and practice. Overall, Intensive Longitudinal Methods: An Introduction to Diary and Experience Sampling Research is an excellent textbook, with over 200 empirical references supporting its contents. There is clear utilization of both canonical works of statistics, methodology, and experimental design as well as a cross section of recent scholarly journal articles appropriate for an introductory textbook, utilizing both historical and contemporary data and including notable works by experts in a cross section of the social sciences, including social work, psychology, and public health. Another noteworthy feature of the book are the >50 tables and figures, which present relevant data in a clear and concise manner throughout. Additionally, the authors include several chapter-specific appendices presenting data sets and syntax for a wide selection of statistical software packages, including the Statistical Package for the Social Sciences, SAS, R, and MPlus. Intensive Longitudinal Methods: An Introduction to Diary and Experience Sampling Research also includes a link to the publisher’s website that provides a wealth of supplementary material. As mentioned above, the authors are explicit in their goals for producing the work as both an introduction to a novel methodology and a comprehensive guide to exploring its many facets and applications. I concur with their stated intended audience and would recommend this textbook for advanced graduate courses, and as a necessary tool for researchers interested or engaged in intensive longitudinal design, or those seeking to incorporate the method for grant preparation, ongoing research, program and practice evaluation, and publication.