Dyadic Data Analysis

Author: David A. Kenny
Publisher: Guilford Press
ISBN: 1572309865
Format: PDF, Mobi
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The first book on the subject, this unique resource is comprehensive and authoritative. The authors' approach has wide applications for analyzing data related to couples, siblings, friends, coworkers, parent-child, doctor-patient pairs, and more. They compare and contrast different quantitative methods and evaluate their suitability for diverse situations.

Handbook of Advanced Multilevel Analysis

Author: Joop Hox
Publisher: Psychology Press
ISBN: 113695127X
Format: PDF, Docs
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This new handbook is the definitive resource on advanced topics related to multilevel analysis. The editors assembled the top minds in the field to address the latest applications of multilevel modeling as well as the specific difficulties and methodological problems that are becoming more common as more complicated models are developed. Each chapter features examples that use actual datasets. These datasets, as well as the code to run the models, are available on the book’s website http://www.hlm-online.com . Each chapter includes an introduction that sets the stage for the material to come and a conclusion. Divided into five sections, the first provides a broad introduction to the field that serves as a framework for understanding the latter chapters. Part 2 focuses on multilevel latent variable modeling including item response theory and mixture modeling. Section 3 addresses models used for longitudinal data including growth curve and structural equation modeling. Special estimation problems are examined in section 4 including the difficulties involved in estimating survival analysis, Bayesian estimation, bootstrapping, multiple imputation, and complicated models, including generalized linear models, optimal design in multilevel models, and more. The book’s concluding section focuses on statistical design issues encountered when doing multilevel modeling including nested designs, analyzing cross-classified models, and dyadic data analysis. Intended for methodologists, statisticians, and researchers in a variety of fields including psychology, education, and the social and health sciences, this handbook also serves as an excellent text for graduate and PhD level courses in multilevel modeling. A basic knowledge of multilevel modeling is assumed.

Intensive Longitudinal Methods

Author: Niall Bolger
Publisher: Guilford Press
ISBN: 1462506925
Format: PDF, Kindle
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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).

Modeling Dyadic and Interdependent Data in the Developmental and Behavioral Sciences

Author: Noel A. Card
Publisher: Routledge
ISBN: 1135703930
Format: PDF, ePub, Mobi
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This book reviews methods of conceptualizing, measuring, and analyzing interdependent data in developmental and behavioral sciences. Quantitative and developmental experts describe best practices for modeling interdependent data that stem from interactions within families, relationships, and peer groups, for example. Complex models for analyzing longitudinal data, such as growth curves and time series, are also presented. Many contributors are innovators of the techniques and all are able to clearly explain the methodologies and their practical problems including issues of measurement, missing data, power and sample size, and the specific limitations of each method. Featuring a balance between analytic strategies and applications, the book addresses: The Actor-Partner Interdependence Model for analyzing influence between two individuals The Intraclass Correlational Approach for analyzing distinguishable roles (parent-child) or exchangeable (same-sex) dyadic data The Social Relations Model for analyzing group interdependency Social Network Analysis approaches for relationships between individuals This book is intended for graduate students and researchers across the developmental, social, behavioral, and educational sciences. It is an excellent research guide and a valuable resource for advanced methods courses.

Handbook of Developmental Research Methods

Author: Brett Laursen
Publisher: Guilford Press
ISBN: 1609189515
Format: PDF, Kindle
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Appropriate for use in developmental research methods or analysis of change courses, this is the first methods handbook specifically designed to meet the needs of those studying development. Leading developmental methodologists present cutting-edge analytic tools and describe how and when to use them, in accessible, nontechnical language. They also provide valuable guidance for strengthening developmental research with designs that anticipate potential sources of bias. Throughout the chapters, research examples demonstrate the procedures in action and give readers a better understanding of how to match research questions to developmental methods. The companion website (www.guilford.com/laursen-materials) supplies data and program syntax files for many of the chapter examples.

Handbook of Advanced Multilevel Analysis

Author: Joop Hox
Publisher: Psychology Press
ISBN: 113695127X
Format: PDF, Kindle
Download Now
This new handbook is the definitive resource on advanced topics related to multilevel analysis. The editors assembled the top minds in the field to address the latest applications of multilevel modeling as well as the specific difficulties and methodological problems that are becoming more common as more complicated models are developed. Each chapter features examples that use actual datasets. These datasets, as well as the code to run the models, are available on the book’s website http://www.hlm-online.com . Each chapter includes an introduction that sets the stage for the material to come and a conclusion. Divided into five sections, the first provides a broad introduction to the field that serves as a framework for understanding the latter chapters. Part 2 focuses on multilevel latent variable modeling including item response theory and mixture modeling. Section 3 addresses models used for longitudinal data including growth curve and structural equation modeling. Special estimation problems are examined in section 4 including the difficulties involved in estimating survival analysis, Bayesian estimation, bootstrapping, multiple imputation, and complicated models, including generalized linear models, optimal design in multilevel models, and more. The book’s concluding section focuses on statistical design issues encountered when doing multilevel modeling including nested designs, analyzing cross-classified models, and dyadic data analysis. Intended for methodologists, statisticians, and researchers in a variety of fields including psychology, education, and the social and health sciences, this handbook also serves as an excellent text for graduate and PhD level courses in multilevel modeling. A basic knowledge of multilevel modeling is assumed.

Advances in Data Analysis Data Handling and Business Intelligence

Author: Andreas Fink
Publisher: Springer Science & Business Media
ISBN: 9783642010446
Format: PDF, ePub
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Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of computer science, artificial intelligence, mathematics, and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as in marketing, finance, economics, engineering, linguistics, archaeology, musicology, medical science, and biology. This volume contains the revised versions of selected papers presented during the 32nd Annual Conference of the German Classification Society (Gesellschaft für Klassifikation, GfKl). The conference, which was organized in cooperation with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), was hosted by Helmut-Schmidt-University, Hamburg, Germany, in July 2008.

Generalized vector and dyadic analysis

Author: Chen-to Tai
Publisher: Wiley-IEEE Press
ISBN: 9780780334137
Format: PDF, Docs
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Unmatched in its coverage of the topic, the first edition of GENERALIZED VECTOR AND DYADIC ANALYSIS helped revolutionize the treatment of boundary-value problems, establishing itself as a classic in the field. This expanded, revised edition is the most comprehensive book available on vector analysis founded upon the new method symbolic vector. GENERALIZED VECTOR AND DYADIC ANALYSIS presents a copious list of vector and dyadic identities, along with various forms of Green's theorems with derivations. In addition, this edition presents an historical study of the past mis-understandings and contradictions that have occurred in vector analysis presentations, furthering the reader's understanding of the subject. Sponsored by: IEEE Antennas and Propagation Society.

Advanced Methods in Family Therapy Research

Author: Richard B Miller
Publisher: Routledge
ISBN: 1136192204
Format: PDF, ePub, Docs
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Research is vital in moving the field of family therapy forward, but the myriad of possibilities inherent in working with systems and individuals can overwhelm even the most seasoned researcher. Advanced Methods in Family Therapy Research is the best resource to address the day-to-day questions that researchers have as they investigate couples and families, and the best source for learning long-term theory and methodology. The contributors of this volume share their wisdom on a wide variety of topics including validity concerns, measuring interpersonal process and relational change, dyadic data analysis (demonstrated through a sample research study), mixed methods studies, and recruitment and retention. The volume contains one of the most detailed descriptions of data collections and covers interviewing, using questionnaires, and observing brain activity. Also addressed are suggestions to meaningfully reduce cultural bias, to conduct ethical research, and, in the Health Services Research chapter, to examine interventions for clients in various income brackets. A separate, ground-breaking chapter also addresses psychophysiological research in a couple and family therapeutic context. As an added benefit, readers will learn how to become informed consumers of journal articles and studies, how to produce quality, publishable research, and how to write fundable grant proposals. Each chapter provides a clear and detailed guide for students, researchers, and professionals, and as a whole Advanced Methods in Family Therapy Research advances the field by teaching readers how to provide evidence that marriage and family therapy not only relieves symptoms, but also effects behavioral change in all family members.