Dyadic Data Analysis


Author: David A. Kenny,Deborah A. Kashy,William L. Cook
Publisher: Guilford Press
ISBN: 1572309865
Category: Social Science
Page: 458
View: 1122

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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.

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: 5899

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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,James P. Selig,Todd Little
Publisher: Routledge
ISBN: 1135703930
Category: Psychology
Page: 464
View: 2327

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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.

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: 2178

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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.

Applied Missing Data Analysis


Author: Craig K. Enders
Publisher: Guilford Press
ISBN: 1606236407
Category: Psychology
Page: 377
View: 7072

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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 Advanced Multilevel Analysis


Author: Joop Hox,J. Kyle Roberts
Publisher: Psychology Press
ISBN: 113695127X
Category: Education
Page: 408
View: 8334

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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.

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: 7726

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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 Developmental Research Methods


Author: Brett Laursen,Todd D. Little,Noel A. Card
Publisher: Guilford Press
ISBN: 1609189515
Category: Social Science
Page: 788
View: 1279

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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.

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: 1302

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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.

Handbook of Structural Equation Modeling


Author: Rick H. Hoyle
Publisher: Guilford Press
ISBN: 1606230778
Category: Social Science
Page: 740
View: 1070

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"This handbook offers comprehensive coverage of structural equation modeling (SEM), beginning with background issues, continuing through statistical underpinnings and steps in implementation, then moving into basic and advanced applications of SEM. In a single volume, it offers virtually complete coverage of SEM and its use"--

Interpersonal Perception

A Social Relations Analysis
Author: David A. Kenny
Publisher: Guilford Press
ISBN: 9780898621143
Category: Psychology
Page: 270
View: 930

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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.

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: 513

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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.

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: 4149

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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 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: 8415

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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.

Principles and Methods of Social Research


Author: William D. Crano,Marilynn B. Brewer,Andrew Lac
Publisher: Routledge
ISBN: 1317666062
Category: Psychology
Page: 504
View: 8480

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Used to train generations of social scientists, this thoroughly updated classic text covers the latest research techniques and designs. Applauded for its comprehensive coverage, the breadth and depth of content is unparalleled. Through a multi-methodology approach, the text guides readers toward the design and conduct of social research from the ground up. Explained with applied examples useful to the social, behavioral, educational, and organizational sciences, the methods described are intended to be relevant to contemporary researchers. The underlying logic and mechanics of experimental, quasi-experimental, and non-experimental research strategies are discussed in detail. Introductory chapters covering topics such as validity and reliability furnish readers with a firm understanding of foundational concepts. Chapters dedicated to sampling, interviewing, questionnaire design, stimulus scaling, observational methods, content analysis, implicit measures, dyadic and group methods, and meta-analysis provide coverage of these essential methodologies. The book is noted for its: -Emphasis on understanding the principles that govern the use of a method to facilitate the researcher’s choice of the best technique for a given situation. - Use of the laboratory experiment as a touchstone to describe and evaluate field experiments, correlational designs, quasi experiments, evaluation studies, and survey designs. -Coverage of the ethics of social research including the power a researcher wields and tips on how to use it responsibly. The new edition features: -A new co-author, Andrew Lac, instrumental in fine tuning the book’s accessible approach and highlighting the most recent developments at the intersection of design and statistics. -More learning tools including more explanation of the basic concepts, more research examples, tables, and figures, and the addition of bold faced terms, chapter conclusions, discussion questions, and a glossary. -Extensive revision of chapter (3) on measurement reliability theory that examines test theory, latent factors, factor analysis, and item response theory. -Expanded coverage of cutting-edge methodologies including mediation and moderation, reliability and validity, missing data, and more physiological approaches such as neuroimaging and fMRIs. -A new web based resource package that features Power Points and discussion and exam questions for each chapter and for students chapter outlines and summaries, key terms, and suggested readings. Intended as a text for graduate or advanced undergraduate courses in research methods (design) in psychology, communication, sociology, education, public health, and marketing, an introductory undergraduate course on research methods is recommended.

Laboratory Experiments in the Social Sciences


Author: Murray Webster,Jane Sell
Publisher: Elsevier
ISBN: 0124051863
Category: Education
Page: 534
View: 4077

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While there are many books available on statistical analysis of data from experiments, there is significantly less available on the design, development, and actual conduct of the experiments. Laboratory Experiments in the Social Sciences summarizes how to design and conduct scientifically sound experiments, be they from surveys, interviews, observations, or experimental methods. The book encompasses how to collect reliable data, the appropriate uses of different methods, and how to avoid or resolve common problems in experimental research. Case study examples illustrate how multiple methods can be used to answer the same research questions and what kinds of outcome would result from each methodology. Sound data begins with effective data collection. This book will assist students and professionals alike in sociology, marketing, political science, anthropology, economics, and psychology. Provides a comprehensive summary of issues in social science experimentation, from ethics to design, management, and financing Offers "how-to" explanations of the problems and challenges faced by everyone involved in social science experiments Pays attention to both practical problems and to theoretical and philosophical arguments Defines commonalities and distinctions within and among experimental situations across the social sciences

Longitudinal Analysis

Modeling Within-Person Fluctuation and Change
Author: Lesa Hoffman
Publisher: Routledge
ISBN: 1317591097
Category: Psychology
Page: 626
View: 2056

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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.

Principles and Practice of Structural Equation Modeling, Fourth Edition


Author: Rex B. Kline
Publisher: Guilford Publications
ISBN: 1462523005
Category: Social Science
Page: 534
View: 8763

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Emphasizing concepts and rationale over mathematical minutiae, this is the most widely used, complete, and accessible structural equation modeling (SEM) text. Continuing the tradition of using real data examples from a variety of disciplines, the significantly revised fourth edition incorporates recent developments such as Pearl's graphing theory and the structural causal model (SCM), measurement invariance, and more. Readers gain a comprehensive understanding of all phases of SEM, from data collection and screening to the interpretation and reporting of the results. Learning is enhanced by exercises with answers, rules to remember, and topic boxes. The companion website supplies data, syntax, and output for the book's examples--now including files for Amos, EQS, LISREL, Mplus, Stata, and R (lavaan). New to This Edition *Extensively revised to cover important new topics: Pearl's graphing theory and the SCM, causal inference frameworks, conditional process modeling, path models for longitudinal data, item response theory, and more. *Chapters on best practices in all stages of SEM, measurement invariance in confirmatory factor analysis, and significance testing issues and bootstrapping. *Expanded coverage of psychometrics. *Additional computer tools: online files for all detailed examples, previously provided in EQS, LISREL, and Mplus, are now also given in Amos, Stata, and R (lavaan). *Reorganized to cover the specification, identification, and analysis of observed variable models separately from latent variable models. Pedagogical Features *Exercises with answers, plus end-of-chapter annotated lists of further reading. *Real examples of troublesome data, demonstrating how to handle typical problems in analyses. *Topic boxes on specialized issues, such as causes of nonpositive definite correlations. *Boxed rules to remember. *Website promoting a learn-by-doing approach, including syntax and data files for six widely used SEM computer tools.

Qualitative Analysis Using NVivo

The Five-Level QDA® Method
Author: Nicholas H. Woolf,Christina Silver
Publisher: Routledge
ISBN: 1351722859
Category: Psychology
Page: 212
View: 8390

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Software is cut and dried – every button you press has a predictable effect – but qualitative analysis is open ended and unfolds in unpredictable ways. This contradiction is best resolved by separating analytic strategies – what you plan to do – from software tactics – how you plan to do it. Expert NVivo users have unconsciously learned to do this. The Five-Level QDA® method unpacks the process so that you can learn it consciously and efficiently. The first part of the book explains how the contradiction between analytic strategies and software tactics is reconciled by "translating" between them. The second part provides both an in-depth description of how NVivo works and comprehensive instruction in the five steps of "translation". These steps are illustrated with examples from a variety of research projects. The third part contains real-world qualitative research projects from a variety of disciplines, methodologies, and kinds of qualitative analysis, all illustrated in NVivo using the Five-Level QDA method. The book is accompanied by three sets of video demonstrations on the companion website. The book and accompanying videos illustrate the Windows version of NVivo. As there are some differences in screen and interface design between the Mac and Windows versions please watch the video 'The NVivo Mac Interface' in the Component Orientation series of videos (available on the companion website). The Five-Level QDA method is based on the authors’ combined 40 years of experience teaching NVivo and other software packages used as platforms for conducting qualitative analysis. After many years observing their students’ challenges they developed the Five-Level QDA method to describe the process that long-time NVivo experts unconsciously adopt. The Five-Level QDA method is independent of software program or methodology, and the principles apply to any type of qualitative project.