Intensive Longitudinal Methods: An Introduction to Diary and Experience Sampling Research (Methodology in the Social Sciences)
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Author : Niall Bolger
Genre : Psychology
Summary : This book offers a complete, practical guide to doing an intensive longitudinal study with individuals, dyads, or groups. It provides the tools for studying social, psychological, and physiological processes in everyday contexts, using methods such as diary and experience sampling. A range of engaging, worked-through research examples with datasets are featured. Coverage includes how to: select the best intensive longitudinal design for a particular research question, apply multilevel models to within-subject designs, model within-subject change processes for continuous and categorical outcomes, assess the reliability of within-subject changes, assure sufficient statistical power, and more. Several end-of-chapter write-ups illustrate effective ways to present study findings for publication. Datasets and output in SPSS, SAS, Mplus, HLM, MLwiN, and R for the examples are available on the companion website (www.intensivelongitudinal.com).
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Author : Niall Bolger
Genre : Psychology
Summary : This book offers a complete, practical guide to doing an intensive longitudinal study with individuals, dyads, or groups. It provides the tools for studying social, psychological, and physiological processes in everyday contexts, using methods such as diary and experience sampling. A range of engaging, worked-through research examples with datasets are featured. Coverage includes how to: select the best intensive longitudinal design for a particular research question, apply multilevel models to within-subject designs, model within-subject change processes for continuous and categorical outcomes, assess the reliability of within-subject changes, assure sufficient statistical power, and more. Several end-of-chapter write-ups illustrate effective ways to present study findings for publication. Datasets and output in SPSS, SAS, Mplus, HLM, MLwiN, and R for the examples are available on the companion website (www.intensivelongitudinal.com).
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Author : Paul J Silvia
Genre :
Summary : "A step-by-step guide to researching what people do in their everyday lives. This practical, beginner-friendly book teaches readers how to do daily life research, which is the study of what people do in their ordinary environments in their everyday lives. The basic approach is to collect data intensively over time, at least once a day for many days, in people's natural environments rather than in research labs. Common methods include daily diaries, experience sampling, and ecological momentary assessment. Collectively, these methods trade off the control and precision of the lab for the texture, depth, and realism of the real world. The book walks readers through the entire process of the research project, including first selecting a design and developing survey items, then collecting and cleaning data, and finally analyzing and disseminating the findings. With example studies pulled from all areas of psychology, the book will provide students with the conceptual foundation and practical knowledge needed to examine psychological processes "up close" in ways that experimental and survey methods can't"--
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Author : Matthias R. Mehl
Genre : Psychology
Summary : Bringing together leading authorities, this unique handbook reviews the breadth of current approaches for studying how people think, feel, and behave in everyday environments, rather than in the laboratory. The volume thoroughly describes experience sampling methods, diary methods, physiological measures, and other self-report and non-self-report tools that allow for repeated, real-time measurement in natural settings. Practical guidance is provided to help the reader design a high-quality study, select and implement appropriate methods, and analyze the resulting data using cutting-edge statistical techniques. Applications across a wide range of psychological subfields and research areas are discussed in detail.
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Author : Todd D. Little
Genre : Business & Economics
Summary : Beloved for its engaging, conversational style, this valuable book is now in a fully updated second edition that presents the latest developments in longitudinal structural equation modeling (SEM) and new chapters on missing data, the random intercepts cross-lagged panel model (RI-CLPM), longitudinal mixture modeling, and Bayesian SEM. Emphasizing a decision-making approach, leading methodologist Todd D. Little describes the steps of modeling a longitudinal change process. He explains the big picture and technical how-tos of using longitudinal confirmatory factor analysis, longitudinal panel models, and hybrid models for analyzing within-person change. User-friendly features include equation boxes that translate all the elements in every equation, tips on what does and doesn't work, end-of-chapter glossaries, and annotated suggestions for further reading. The companion website provides data sets for the examples--including studies of bullying and victimization, adolescents' emotions, and healthy aging--along with syntax and output, chapter quizzes, and the book’s figures. New to This Edition: *Chapter on missing data, with a spotlight on planned missing data designs and the R-based package PcAux. *Chapter on longitudinal mixture modeling, with Whitney Moore. *Chapter on the random intercept cross-lagged panel model (RI-CLPM), with Danny Osborne. *Chapter on Bayesian SEM, with Mauricio Garnier. *Revised throughout with new developments and discussions, such as how to test models of experimental effects.
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Author : Joel M. Hektner
Genre : Psychology
Summary : No further information has been provided for this title.
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Author : Chiara Tagliaro
Genre : Business & Economics
Summary : This book explores a wide range of methodological approaches to examining various forms of workplace physical environments. It focuses on pressing questions regarding the relationship between the spatial component of the workplace, including its progressive hybridisation with other physical and virtual places, and its users, be they public organisations, private companies, or start-up businesses and solopreneurs. International contributors address a range of methods that are applicable both in research and practice to confront the most cutting-edge workplace-related issues. The assumption is that work has been changing, thanks to the virtualisation of many activities, and that homeworking and hybrid working modes are expected to increase significantly after Covid-19. Thus, spaces hosting work need to adapt accordingly. Researchers and practitioners have been struggling to determine how much space will be needed by companies, what kind of space will better host different work activities, which workers are more suited for working from home, and which instead are more productive if they have an office-based working arrangement. The necessary evolution of the office should follow evidence-based decisions on the abovementioned matters, which are only possible through rigorous investigations. This volume aims to support these investigations, which call for inventive applications of qualitative and quantitative methodologies. By doing so the book will encourage solid practices and thorough research agendas in workplace design, management, and use. Contributions come from different disciplines, including facilities management, real estate management, psychology, design, architecture, sociology, and organisation studies. Chapters highlight the importance of appropriate methodologies, borrowed from different fields, in addressing contemporary questions and developments in workplaces. By analysing the challenges and opportunities for conducting rigorous research in different workplace settings, this book will be critical reading for both academics and students, as well as for decision-makers and professionals who deal with workplace design and management.