Dyadic Data Analysis


Author: David A. Kenny,Deborah A. Kashy,William L. Cook
Publisher: Guilford Press
ISBN: 1572309865
Category: Social Science
Page: 458
View: 857

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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.

Dependent Data in Social Sciences Research

Forms, Issues, and Methods of Analysis
Author: Mark Stemmler,Alexander von Eye,Wolfgang Wiedermann
Publisher: Springer
ISBN: 3319205854
Category: Social Science
Page: 385
View: 432

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This volume presents contributions on handling data in which the postulate of independence in the data matrix is violated. When this postulate is violated and when the methods assuming independence are still applied, the estimated parameters are likely to be biased, and statistical decisions are very likely to be incorrect. Problems associated with dependence in data have been known for a long time, and led to the development of tailored methods for the analysis of dependent data in various areas of statistical analysis. These methods include, for example, methods for the analysis of longitudinal data, corrections for dependency, and corrections for degrees of freedom. This volume contains the following five sections: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.g., approaches for modeling cross-section dependence, multidimensional scaling techniques, and mixed models). Researchers and graduate students in the social and behavioral sciences, education, econometrics, and medicine will find this up-to-date overview of modern statistical approaches for dealing with problems related to dependent data particularly useful.

Modeling Dyadic and Interdependent Data in the Developmental and Behavioral Sciences


Author: Noel A. Card,James P. Selig,Professor Department of Psychology Todd Little,Todd Little
Publisher: Routledge
ISBN: 1135703949
Category: Psychology
Page: 464
View: 718

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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.

Models and Methods in Social Network Analysis


Author: Peter J. Carrington,John Scott,Stanley Wasserman
Publisher: Cambridge University Press
ISBN: 9781139443432
Category: Social Science
Page: N.A
View: 1703

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Models and Methods in Social Network Analysis, first published in 2005, presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.

The Sage Handbook of Methods in Social Psychology


Author: Carol Sansone,Carolyn C Morf,A. T. Panter
Publisher: SAGE
ISBN: 9780761925354
Category: Medical
Page: 528
View: 4188

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The genius of social psychology as a field has been its ability to investigate the seemingly complicated behaviors that characterize humans as social creatures. The SAGE Handbook of Methods in Social Psychology simplifies this complexity by providing researchers and students with an overview of the rich history of methodological innovation in both basic and applied research within social psychology. This Handbook is a vital resource for behavioral scientists in the academic and research settings who are interested in learning about modern perspectives on classic and innovative methodological approaches in social psychology. Also recommended for undergraduate and graduate students enrolled in social psychology methods courses.

Sourcebook of Family Theory and Research


Author: Vern L. Bengtson,Alan C. Acock,Katherine R. Allen,Peggye Dilworth-Anderson,David M. Klein
Publisher: SAGE
ISBN: 1452279101
Category: Family & Relationships
Page: 688
View: 7623

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Sponsored by the National Council on Family Relations, the Sourcebook of Family Theory and Research is the reference work on theory and methods for family scholars and students around the world. This volume provides a diverse, eclectic, and paradoxically mature approach to theorizing and demonstrates how the development of theory is crucial to the future of family research. The Sourcebook reflects an interactive approach that focuses on the process of theory building and designing research, thereby engaging readers in "doing" theory rather than simply reading about it. An accompanying Web site, http://www.ncfr.org/sourcebook, offers additional participation and interaction in the process of doing theory and making science.

The SAGE Handbook of Multilevel Modeling


Author: Marc A. Scott,Jeffrey S. Simonoff,Brian D. Marx
Publisher: SAGE
ISBN: 1446265978
Category: Reference
Page: 696
View: 2660

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In this important new Handbook, the editors have gathered together a range of leading contributors to introduce the theory and practice of multilevel modeling. The Handbook establishes the connections in multilevel modeling, bringing together leading experts from around the world to provide a roadmap for applied researchers linking theory and practice, as well as a unique arsenal of state-of-the-art tools. It forges vital connections that cross traditional disciplinary divides and introduces best practice in the field. Part I establishes the framework for estimation and inference, including chapters dedicated to notation, model selection, fixed and random effects, and causal inference. Part II develops variations and extensions, such as nonlinear, semiparametric and latent class models. Part III includes discussion of missing data and robust methods, assessment of fit and software. Part IV consists of exemplary modeling and data analyses written by methodologists working in specific disciplines. Combining practical pieces with overviews of the field, this Handbook is essential reading for any student or researcher looking to apply multilevel techniques in their own research.

Handbook of Research Methods in Social and Personality Psychology


Author: Harry T. Reis,Charles M. Judd
Publisher: Cambridge University Press
ISBN: 1107011779
Category: Psychology
Page: 758
View: 8446

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This indispensible sourcebook covers conceptual and practical issues in research design in the field of social and personality psychology. Key experts address specific methods and areas of research, contributing to a comprehensive overview of contemporary practice. This updated and expanded second edition offers current commentary on social and personality psychology, reflecting the rapid development of this dynamic area of research over the past decade. With the help of this up-to-date text, both seasoned and beginning social psychologists will be able to explore the various tools and methods available to them in their research as they craft experiments and imagine new methodological possibilities.

The Reviewer’s Guide to Quantitative Methods in the Social Sciences


Author: Gregory R. Hancock,Ralph O. Mueller
Publisher: Routledge
ISBN: 1135172994
Category: Education
Page: 448
View: 1727

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The Reviewer’s Guide is designed for reviewers of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its uniquely structured chapters address traditional and emerging quantitative methods of data analysis.

Hierarchical Linear Models

Applications and Data Analysis Methods
Author: Stephen W. Raudenbush,Anthony S. Bryk
Publisher: SAGE
ISBN: 9780761919049
Category: Mathematics
Page: 485
View: 2958

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Popular in its first edition for its rich, illustrative examples and lucid explanations of the theory and use of hierarchical linear models (HLM), the book has been updated to include: an intuitive introductory summary of the basic procedures for estimation and inference used with HLM models that only requires a minimal level of mathematical sophistication; a new section on multivariate growth models; a discussion of research synthesis or meta-analysis applications; aata analytic advice on centering of level-1 predictors, and new material on plausible value intervals and robust standard estimators.

Applied Meta-analysis for Social Science Research


Author: Noel A. Card
Publisher: Guilford Press
ISBN: 1609184998
Category: Psychology
Page: 377
View: 1600

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Offering pragmatic guidance for planning and conducting a meta-analytic review, this book is written in an engaging, nontechnical style that makes it ideal for graduate course use or self-study. The author shows how to identify questions that can be answered using meta-analysis, retrieve both published and unpublished studies, create a coding manual, use traditional and unique effect size indices, and write a meta-analytic review. An ongoing example illustrates meta-analytic techniques. In addition to the fundamentals, the book discusses more advanced topics, such as artifact correction, random- and mixed-effects models, structural equation representations, and multivariate procedures. User-friendly features include annotated equations; discussions of alternative approaches; and "Practical Matters" sections that give advice on topics not often discussed in other books, such as linking meta-analytic results with theory and the utility of meta-analysis software programs.

Handbook of Advanced Multilevel Analysis


Author: Joop Hox,J. Kyle Roberts
Publisher: Routledge
ISBN: 1136951261
Category: Psychology
Page: 408
View: 1768

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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.

Advances in Longitudinal Methods in the Social and Behavioral Sciences


Author: Gregory R. Hancock,Jeffrey R. Harring
Publisher: IAP
ISBN: 1617358916
Category: Education
Page: 355
View: 1932

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The importance that practitioners are placing on longitudinal designs and analyses signals a critical shift toward methods that enable a better understanding of developmental processes thought to underlie many human attributes and behaviors. A simple scan of one’s own applied literature reveals evidence of this trend through the increasing number of articles adopting longitudinal methods as their primary analytic tools. Advances in Longitudinal Methods in the Social and Behavioral Sciences is a resource intended for advanced graduate students, faculty, and applied researchers interested in longitudinal data analysis, especially in the social and behavioral sciences. The chapters are written by established methodological researchers from diverse research domains such as psychology, biostatistics, educational statistics, psychometrics, and family sciences. Each chapter exposes the reader to some of the latest methodological developments and perspectives in the analysis of longitudinal data, and is written in a didactic tone that makes the content accessible to the broader research community. This volume will be particularly appealing to researchers in domains including, but not limited to: human development, clinical psychology, educational psychology, school psychology, special education, epidemiology, family science, kinesiology, communication disorders, and education policy and administration. The book will also be attractive to members of several professional organizations such as the American Educational Research Association (AERA), the American Psychological Association (APA), the American Psychological Society (APS), the Society for Research on Adolescence (SRA), the Society of Research in Child Development (SRCD), Society for Research in Adult Development (SRAD), British Psychological Society (BPS), Canadian Psychological Association (CPA), and other related organizations.

Interpersonal Perception

A Social Relations Analysis
Author: David A. Kenny
Publisher: Guilford Press
ISBN: 9780898621143
Category: Psychology
Page: 270
View: 8202

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David A. Kenny's pioneering contribution takes a social relations approach to basic questions of person perception in social interaction. Enlightening and provocative, this volume provides a comprehensive theoretical overview of "interpersonal perception," a field of research that holds great promise for shedding light on social behavior. Blending meticulous analysis with thoughtful interpretation, the book demonstrates how interpersonal perception enhances the traditional study of person perception by capturing the richness of social behavior. To introduce the topic, Kenny clearly explicates the differences between person perception and interpersonal perception, showing that while the traditional paradigm is guided by descriptions of hypothetical people, interpersonal perception takes into account the bidirectional reality of dyadic interaction. The book addresses three fundamentally different types of perceptions: * How we see other people * How we see ourselves * How we think we are seen by others Nine different questions are based on the relationships among these perceptions. To answer these questions, the author sets forth the Social Relations Model, a research paradigm that posits people as both perceivers and targets. The model is flexible in that it allows for the possibility of meta- and self-perception, and it considers the impact of particular interactions with another on an individual's behavioral changes. The collection, interpretation, analysis, and summary of data are covered here in depth. The main body of the work examines specific theoretical issues within interpersonal perception. Devoting one chapter to each issue--labeled assimilation, consensus, uniqueness, reciprocity, target accuracy, assumed reciprocity, meta-accuracy, assumed similarity, and self-other agreement--Kenny presents the relevant research evidence for each one. The book concludes with a synthesis of the major issues, an examination of the links between behavior and perception, and a discussion of the insights the available evidence can yield about social relations. This unique volume is invaluable reading for all social scientists interested in person perception. Offering the first available overview of this significant new field of research, Interpersonal Perception is also an important text for courses on the subject.

Spectral Analysis of Time-series Data


Author: Rebecca M. Warner
Publisher: Guilford Press
ISBN: 9781572303386
Category: Social Science
Page: 225
View: 5532

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This book provides a thorough introduction to methods for detecting and describing cyclic patterns in time-series data. It is written both for researchers and students new to the area and for those who have already collected time-series data but wish to learn new ways of understanding and presenting them. Facilitating the interpretation of observations of behavior, physiology, mood, perceptual threshold, social indicator variables, and other responses, the book focuses on practical applications and requires much less mathematical background than most comparable texts. Using real data sets and currently available software (SPSS for Windows), the author employs extensive examples to clarify key concepts. Topics covered include research design issues, preliminary data screening, identification and description of cycles, summary of results across time series, and assessment of relations between time series. Also considered are theoretical questions, problems of interpretation, and potential sources of artifact.

Models for Social Networks With Statistical Applications


Author: Suraj Bandyopadhyay,A R. Rao,Bikas Kumar Sinha
Publisher: SAGE
ISBN: 1412941687
Category: Social Science
Page: 235
View: 3288

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The study of social networks is a new but fast widening multidisciplinary area involving social, mathematical, statistical and computer sciences for application in diverse social environments; in the latter sciences, and specially for the field of Economics. It has its own parameters and methodological tools. In 'Models for Social Networks with Statistical Applications', the authors show how graph-theoretic and statistical techniques can be used to study some important parameters of global social networks and illustrate their use in social science studies with some examples in real life survey data.

Modeling Contextual Effects in Longitudinal Studies


Author: Todd D. Little,James A. Bovaird,Noel A. Card
Publisher: Routledge
ISBN: 1135594171
Category: Psychology
Page: 392
View: 1535

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This volume reviews the challenges and alternative approaches to modeling how individuals change across time and provides methodologies and data analytic strategies for behavioral and social science researchers. This accessible guide provides concrete, clear examples of how contextual factors can be included in most research studies. Each chapter can be understood independently, allowing readers to first focus on areas most relevant to their work. The opening chapter demonstrates the various ways contextual factors are represented—as covariates, predictors, outcomes, moderators, mediators, or mediated effects. Succeeding chapters review "best practice" techniques for treating missing data, making model comparisons, and scaling across developmental age ranges. Other chapters focus on specific statistical techniques such as multilevel modeling and multiple-group and multilevel SEM, and how to incorporate tests of mediation, moderation, and moderated mediation. Critical measurement and theoretical issues are discussed, particularly how age can be represented and the ways in which context can be conceptualized. The final chapter provides a compelling call to include contextual factors in theorizing and research. This book will appeal to researchers and advanced students conducting developmental, social, clinical, or educational research, as well as those in related areas such as psychology and linguistics.

The Psychology Research Handbook

A Guide for Graduate Students and Research Assistants
Author: Frederick T. L. Leong,James T. Austin
Publisher: SAGE
ISBN: 0761930221
Category: Psychology
Page: 516
View: 9565

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A comprehensive, easy-to-understand guide to the entire research process, this book quickly and efficiently equips advanced students and research assistants to conduct a full-scale investigation. The book is organized around the idea of a 'research script' that is, it follows the standard mode of research planning and design, data collection and analysis, and results writing. The volume contains 35 chapters, some co-authored by advanced graduate students who give their fellow students a touch of the 'real world' adding to the clarity and practicality of many chapters.

Advances in Social Network Analysis

Research in the Social and Behavioral Sciences
Author: Stanley Wasserman
Publisher: SAGE
ISBN: 9780803943032
Category: Social Science
Page: 299
View: 907

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In this book, leading methodologists address the issue of how effectively to apply the latest developments in social network analysis to behavioural and social science disciplines. Topics examined include: ways to specify the network contents to be studied; how to select the method for representing network structures; how social network analysis has been used to study interorganizational relations via the resource dependence model; how to use a contact matrix for studying the spread of disease in epidemiology; and how cohesion and structural equivalence network theories relate to studying social influence. The book also offers some statistical models for social support networks.