Applied Data Analytic Techniques For Turning Points Research

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Applied Data Analytic Techniques For Turning Points Research


Applied Data Analytic Techniques For Turning Points Research
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Applied Data Analytic Techniques For Turning Points Research


Applied Data Analytic Techniques For Turning Points Research
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Author : Patricia Cohen
language : en
Publisher: Routledge
Release Date : 2012-10-12



Applied Data Analytic Techniques For Turning Points Research written by Patricia Cohen and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-12 with Psychology categories.


This innovative volume demonstrates the use of a range of statistical approaches that examine "turning points" (a change in direction, magnitude, or meaning) in real data. Analytic techniques are illustrated with real longitudinal data from a variety of fields. As such the book will appeal to a variety of researchers including: Developmental researchers interested in identifying factors precipitating turning points at various life stages. Medical or substance abuse researchers looking for turning points in disease or recovery. Social researchers interested in estimating the effects of life experiences on subsequent behavioral changes. Interpersonal behavior researchers looking to identify turning points in relationships. Brain researchers needing to discriminate the onset of an experimentally produced process in a participant. The book opens with the goals and theoretical considerations in defining turning points. An overview of the methods presented in subsequent chapters is then provided. Chapter goals include discriminating "local" from long-term effects, identifying variables altering the connection between trajectories at different life stages, locating non-normative turning points, coping with practical distributional problems in trajectory analyses, and changes in the meaning and connections between variables in the transition to adulthood. From an applied perspective, the book explores such topics as antisocial/aggressive trajectories at different life stages, the impact of imprisonment on criminal behavior, family contact trajectories in the transition to adulthood, sustained effects of substance abuse, alternative models of bereavement, and identifying brain changes associated with the onset of a new brain process. Ideal for advanced students and researchers interested in identifying significant change in data in a variety of fields including psychology, medicine, education, political science, criminology, and sociology.

Handbook Of Developmental Research Methods


Handbook Of Developmental Research Methods
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Author : Brett Paul Laursen
language : en
Publisher: Guilford Press
Release Date : 2011-11-03



Handbook Of Developmental Research Methods written by Brett Paul Laursen and has been published by Guilford Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-03 with Psychology categories.


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. Sections typically begin with an overview chapter on foundational issues. Subsequent chapters delve into specific techniques, following a consistent format that encompasses basic issues, conceptual principles and statistical assumptions, recent technical advances, developmental applications, and future directions. 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 supplies data and program syntax files for many of the chapter examples.

Assessment Measurement And Prediction For Personnel Decisions


Assessment Measurement And Prediction For Personnel Decisions
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Total Download : 907

Author : Robert M. Guion
language : en
Publisher: Taylor & Francis
Release Date : 2011-10-14



Assessment Measurement And Prediction For Personnel Decisions written by Robert M. Guion and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-14 with Business & Economics categories.


First Published in 2011. Routledge is an imprint of Taylor & Francis, an informa company.

Contemporary Issues In Exploratory Data Mining In The Behavioral Sciences


Contemporary Issues In Exploratory Data Mining In The Behavioral Sciences
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Author : John J. McArdle
language : en
Publisher: Routledge
Release Date : 2013-08-15



Contemporary Issues In Exploratory Data Mining In The Behavioral Sciences written by John J. McArdle and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-15 with Psychology categories.


This book reviews the latest techniques in exploratory data mining (EDM) for the analysis of data in the social and behavioral sciences to help researchers assess the predictive value of different combinations of variables in large data sets. Methodological findings and conceptual models that explain reliable EDM techniques for predicting and understanding various risk mechanisms are integrated throughout. Numerous examples illustrate the use of these techniques in practice. Contributors provide insight through hands-on experiences with their own use of EDM techniques in various settings. Readers are also introduced to the most popular EDM software programs. A related website at http://mephisto.unige.ch/pub/edm-book-supplement/offers color versions of the book’s figures, a supplemental paper to chapter 3, and R commands for some chapters. The results of EDM analyses can be perilous – they are often taken as predictions with little regard for cross-validating the results. This carelessness can be catastrophic in terms of money lost or patients misdiagnosed. This book addresses these concerns and advocates for the development of checks and balances for EDM analyses. Both the promises and the perils of EDM are addressed. Editors McArdle and Ritschard taught the "Exploratory Data Mining" Advanced Training Institute of the American Psychological Association (APA). All contributors are top researchers from the US and Europe. Organized into two parts--methodology and applications, the techniques covered include decision, regression, and SEM tree models, growth mixture modeling, and time based categorical sequential analysis. Some of the applications of EDM (and the corresponding data) explored include: selection to college based on risky prior academic profiles the decline of cognitive abilities in older persons global perceptions of stress in adulthood predicting mortality from demographics and cognitive abilities risk factors during pregnancy and the impact on neonatal development Intended as a reference for researchers, methodologists, and advanced students in the social and behavioral sciences including psychology, sociology, business, econometrics, and medicine, interested in learning to apply the latest exploratory data mining techniques. Prerequisites include a basic class in statistics.

Longitudinal Multivariate Psychology


Longitudinal Multivariate Psychology
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Author : Emilio Ferrer
language : en
Publisher: Routledge
Release Date : 2018-10-09



Longitudinal Multivariate Psychology written by Emilio Ferrer and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-09 with Psychology categories.


This volume presents a collection of chapters focused on the study of multivariate change. As people develop and change, multivariate measurement of that change and analysis of those measures can illuminate the regularities in the trajectories of individual development, as well as time-dependent changes in population averages. As longitudinal data have recently become much more prevalent in psychology and the social sciences, models of change have become increasingly important. This collection focuses on methodological, statistical, and modeling aspects of multivariate change and applications of longitudinal models to the study of psychological processes. The volume is divided into three major sections: Extension of latent change models, Measurement and testing issues in longitudinal modeling, and Novel applications of multivariate longitudinal methodology. It is intended for advanced students and researchers interested in learning about state-of-the-art techniques for longitudinal data analysis, as well as understanding the history and development of such techniques.

Longitudinal Data Analysis


Longitudinal Data Analysis
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Total Download : 576

Author : Jason Newsom
language : en
Publisher: Routledge
Release Date : 2012-05-22



Longitudinal Data Analysis written by Jason Newsom and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05-22 with Psychology categories.


First Published in 2012. Routledge is an imprint of Taylor & Francis, an informa company.

Longitudinal Structural Equation Modeling


Longitudinal Structural Equation Modeling
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Total Download : 637

Author : Todd D. Little
language : en
Publisher: Guilford Press
Release Date : 2013-03-25



Longitudinal Structural Equation Modeling written by Todd D. Little and has been published by Guilford Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-25 with Social Science categories.


Featuring actual datasets as illustrative examples, this book reveals numerous ways to apply structural equation modeling (SEM) to any repeated-measures study. Initial chapters lay the groundwork for modeling a longitudinal change process, from measurement, design, and specification issues to model evaluation and interpretation. Covering both big-picture ideas and technical "how-to-do-it" details, the author deftly walks through when and how to use longitudinal confirmatory factor analysis, longitudinal panel models (including the multiple-group case), multilevel models, growth curve models, and complex factor models, as well as models for mediation and moderation. User-friendly features include equation boxes that clearly explain the elements in every equation, end-of-chapter glossaries, and annotated suggestions for further reading. The companion website (http: //crmda.ku.edu/guilford/little) provides datasets for all of the examples--which include studies of bullying, adolescent students' emotions, and healthy aging--with syntax and output from LISREL, Mplus, and R (lavaan).