free web tracker

Dyadic Data Analysis


Author : David A. Kenny
language : en
Publisher: Guilford Press
Release Date : 2006-07-28


PDF Download Dyadic Data Analysis Books For free written by David A. Kenny and has been published by Guilford Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-07-28 with Social Science categories.


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


Author : Mark Stemmler
language : en
Publisher: Springer
Release Date : 2015-10-19


PDF Download Dependent Data In Social Sciences Research Books For free written by Mark Stemmler and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-19 with Social Science categories.


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.

The Sage Handbook Of Quantitative Methodology For The Social Sciences


Author : David Kaplan
language : en
Publisher: SAGE
Release Date : 2004-06-21


PDF Download The Sage Handbook Of Quantitative Methodology For The Social Sciences Books For free written by David Kaplan and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-06-21 with Social Science categories.


The SAGE Handbook of Quantitative Methodology for the Social Sciences is the definitive reference for teachers, students, and researchers of quantitative methods in the social sciences, as it provides a comprehensive overview of the major techniques used in the field. The contributors, top methodologists and researchers, have written about their areas of expertise in ways that convey the utility of their respective techniques, but, where appropriate, they also offer a fair critique of these techniques. Relevance to real-world problems in the social sciences is an essential ingredient of each chapter and makes this an invaluable resource.

The Sage Encyclopedia Of Social Science Research Methods


Author : Michael Lewis-Beck
language : en
Publisher: SAGE Publications
Release Date : 2003-12-15


PDF Download The Sage Encyclopedia Of Social Science Research Methods Books For free written by Michael Lewis-Beck and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-12-15 with Social Science categories.


"This defining work will be valuable to readers and researchers in social sciences and humanities at all academic levels. As a teaching resource it will be useful to instructors and students alike and will become a standard reference source. Essential for general and academic collections." --CHOICE This Encyclopedia provides readers with authoritative essays on virtually all social science methods topics, quantitative and qualitative, by an international collection of experts. Organized alphabetically, the Encyclopedia of Social Science Research Methods covers research terms ranging from different methodological approaches to epistemological issues and specific statistical techniques. Written to be accessible to general readers, the Encyclopedia entries do not require advanced knowledge of mathematics or statistics to understand the purposes or basic principles of any of the methods. To accomplish this goal, there are two major types of entries: definitions consisting of a paragraph or two to provide a quick explanation of a methodological term; and topical treatments or essays that discuss the nature, history, applications, and implications of using a certain method, including suggested readings and references. Readers are directed to related topics via cross-referenced terms that appear in small capital letters. By assembling entries of varied origins and serving different research purposes, readers will be able to benefit from this immense source of methodological expertise in advancing their understanding of research. With three volumes and more than 900 signed entries, the Encyclopedia of Social Science Research Methods will be a critical addition to any social science library.

Modeling Dyadic And Interdependent Data In The Developmental And Behavioral Sciences


Author : Noel A. Card
language : en
Publisher: Routledge
Release Date : 2011-04-12


PDF Download Modeling Dyadic And Interdependent Data In The Developmental And Behavioral Sciences Books For free written by Noel A. Card and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-12 with Psychology categories.


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.

Spectral Analysis Of Time Series Data


Author : Rebecca M. Warner
language : en
Publisher: Guilford Press
Release Date : 1998-05-22


PDF Download Spectral Analysis Of Time Series Data Books For free written by Rebecca M. Warner and has been published by Guilford Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-05-22 with Social Science categories.


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.

Handbook Of Advanced Multilevel Analysis


Author : Joop Hox
language : en
Publisher: Routledge
Release Date : 2011-01-11


PDF Download Handbook Of Advanced Multilevel Analysis Books For free written by Joop Hox and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-11 with Psychology categories.


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.