Dyadic Data Analysis


Author: David A. Kenny,Deborah A. Kashy,William L. Cook
Publisher: Guilford Press
ISBN: 1572309865
Category: Social Science
Page: 458
View: 1576

Continue Reading →

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.

Modeling Dyadic and Interdependent Data in the Developmental and Behavioral Sciences


Author: Noel A. Card,James P. Selig,Todd Little
Publisher: Routledge
ISBN: 1135703930
Category: Psychology
Page: 464
View: 7395

Continue Reading →

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.

Intensive Longitudinal Methods

An Introduction to Diary and Experience Sampling Research
Author: Niall Bolger,Jean-Philippe Laurenceau
Publisher: Guilford Press
ISBN: 1462506925
Category: Psychology
Page: 256
View: 4742

Continue Reading →

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).

Handbook of Research Methods for Studying Daily Life


Author: Matthias R. Mehl,Tamlin S. Conner
Publisher: Guilford Press
ISBN: 1609187474
Category: Psychology
Page: 676
View: 8995

Continue Reading →

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.

Handbook of Advanced Multilevel Analysis


Author: Joop Hox,J. Kyle Roberts
Publisher: Routledge
ISBN: 1136951261
Category: Psychology
Page: 408
View: 9058

Continue Reading →

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: 2175

Continue Reading →

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.

Applied Missing Data Analysis


Author: Craig K. Enders
Publisher: Guilford Press
ISBN: 1606236407
Category: Psychology
Page: 377
View: 7238

Continue Reading →

Walking readers step by step through complex concepts, this book translates missing data techniques into something that applied researchers and graduate students can understand and utilize in their own research. Enders explains the rationale and procedural details for maximum likelihood estimation, Bayesian estimation, multiple imputation, and models for handling missing not at random (MNAR) data. Easy-to-follow examples and small simulated data sets illustrate the techniques and clarify the underlying principles. The companion website (www.appliedmissingdata.com) includes data files and syntax for the examples in the book as well as up-to-date information on software. The book is accessible to substantive researchers while providing a level of detail that will satisfy quantitative specialists.

Handbook of Developmental Research Methods


Author: Brett Laursen,Todd D. Little,Noel A. Card
Publisher: Guilford Press
ISBN: 1609189515
Category: Social Science
Page: 788
View: 5275

Continue Reading →

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.

Advanced Methods in Family Therapy Research

A Focus on Validity and Change
Author: Richard B Miller,Lee N. Johnson
Publisher: Routledge
ISBN: 1136192204
Category: Psychology
Page: 466
View: 6517

Continue Reading →

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.

Social Work Research and the Analysis of Social Data

Social Work Division
Author: A. E. Philip,J. W. McCulloch,N. J. Smith
Publisher: Elsevier
ISBN: 1483136140
Category: Political Science
Page: 250
View: 2077

Continue Reading →

Social Work Research and the Analysis of Social Data is a research book that describes both methodology and data analysis in logical sequence as a basis in order to begin the application of scientific method to psycho-social problems. Organized into 13 chapters, this book begins by elucidating the interrelationship of true professionalism and the need to conduct research in the field of social work. Subsequent chapters explore the advantages of counting and measuring in social work research; the research process; sources of information in applied social studies; data analysis and probability theory; and descriptive statistics. The relationship between variables; the continuing process of research; and the research report in this field of interest are also explained. This book will be very useful to social workers, as well as to those in teaching, counseling, and other helping professions.

Interpersonal Perception

A Social Relations Analysis
Author: David A. Kenny
Publisher: Guilford Press
ISBN: 9780898621143
Category: Psychology
Page: 270
View: 2395

Continue Reading →

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.

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: 9690

Continue Reading →

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.

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: 6694

Continue Reading →

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.

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: 7791

Continue Reading →

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.

Hierarchical Linear Models

Applications and Data Analysis Methods
Author: Stephen W. Raudenbush,Anthony S. Bryk
Publisher: SAGE
ISBN: 9780761919049
Category: Mathematics
Page: 485
View: 4659

Continue Reading →

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.

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: 7476

Continue Reading →

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.

Handbook of Structural Equation Modeling


Author: Rick H. Hoyle
Publisher: Guilford Publications
ISBN: 1462516793
Category: Psychology
Page: 740
View: 3394

Continue Reading →

The first comprehensive structural equation modeling (SEM) handbook, this accessible volume presents both the mechanics of SEM and specific SEM strategies and applications. The editor, contributors, and editorial advisory board are leading methodologists who have organized the book to move from simpler material to more statistically complex modeling approaches. Sections cover the foundations of SEM; statistical underpinnings, from assumptions to model modifications; steps in implementation, from data preparation through writing the SEM report; and basic and advanced applications, including new and emerging topics in SEM. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with readers' data. Many of the chapters also include access to data and syntax files at the companion website, allowing readers to try their hands at reproducing the authors' results.

Longitudinal Analysis

Modeling Within-Person Fluctuation and Change
Author: Lesa Hoffman
Publisher: Routledge
ISBN: 1317591097
Category: Psychology
Page: 626
View: 4312

Continue Reading →

Longitudinal Analysis provides an accessible, application-oriented treatment of introductory and advanced linear models for within-person fluctuation and change. Organized by research design and data type, the text uses in-depth examples to provide a complete description of the model-building process. The core longitudinal models and their extensions are presented within a multilevel modeling framework, paying careful attention to the modeling concerns that are unique to longitudinal data. Written in a conversational style, the text provides verbal and visual interpretation of model equations to aid in their translation to empirical research results. Overviews and summaries, boldfaced key terms, and review questions will help readers synthesize the key concepts in each chapter. Written for non-mathematically-oriented readers, this text features: A description of the data manipulation steps required prior to model estimation so readers can more easily apply the steps to their own data An emphasis on how the terminology, interpretation, and estimation of familiar general linear models relates to those of more complex models for longitudinal data Integrated model comparisons, effect sizes, and statistical inference in each example to strengthen readers’ understanding of the overall model-building process Sample results sections for each example to provide useful templates for published reports Examples using both real and simulated data in the text, along with syntax and output for SPSS, SAS, STATA, and Mplus at www.PilesOfVariance.com to help readers apply the models to their own data The book opens with the building blocks of longitudinal analysis—general ideas, the general linear model for between-person analysis, and between- and within-person models for the variance and the options within repeated measures analysis of variance. Section 2 introduces unconditional longitudinal models including alternative covariance structure models to describe within-person fluctuation over time and random effects models for within-person change. Conditional longitudinal models are presented in section 3, including both time-invariant and time-varying predictors. Section 4 reviews advanced applications, including alternative metrics of time in accelerated longitudinal designs, three-level models for multiple dimensions of within-person time, the analysis of individuals in groups over time, and repeated measures designs not involving time. The book concludes with additional considerations and future directions, including an overview of sample size planning and other model extensions for non-normal outcomes and intensive longitudinal data. Class-tested at the University of Nebraska-Lincoln and in intensive summer workshops, this is an ideal text for graduate-level courses on longitudinal analysis or general multilevel modeling taught in psychology, human development and family studies, education, business, and other behavioral, social, and health sciences. The book’s accessible approach will also help those trying to learn on their own. Only familiarity with general linear models (regression, analysis of variance) is needed for this text.

Designing Research in the Social Sciences


Author: Martino Maggetti,Claudio Radaelli,Fabrizio Gilardi
Publisher: SAGE
ISBN: 144629109X
Category: Social Science
Page: 200
View: 1233

Continue Reading →

This innovative research design text will help you make informed choices when carrying out your research project. Covering both qualitative and quantitative approaches, and with examples drawn from a wide range of social science disciplines, the authors explain what is at stake when choosing a research design, and discuss the trade-offs that researchers have to make when considering issues such as: - causality - categories and classification - heterogeneity - interdependence - time This book will appeal to students and researchers looking for an in-depth understanding of research design issues to help them design their projects in a thoughtful and responsible way.