A Primer In Longitudinal Data Analysis
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A Primer In Longitudinal Data Analysis
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Author : Toon W Taris
language : en
Publisher: SAGE
Release Date : 2000-05-25
A Primer In Longitudinal Data Analysis written by Toon W Taris and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-05-25 with Social Science categories.
`The author has done a remarkable job of writing a very accessible introduction to a broad literature. As such, he should be congratulated on achieving his objective to provide the "ideal primer for this growing area of social research"′ - Kwantitatieve Methoden This accessible introduction to the theory and practice of longitudinal research takes the reader through the strengths and weaknesses of this kind of research, making clear: how to design a longitudinal study; how to collect data most effectively; how to make the best use of statistical techniques; and how to interpret results. Although the book provides a broad overview of the field, the focus is always on the practical issues arising out of longitudinal research. This book supplies the student with all that they need to get started and acts as a manual for dealing with opportunities and pitfalls. It is the ideal primer for this growing area of social research.
A Primer On Longitudinal Data Analysis In Education Technical Report 1320
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Author : Joseph F. T. Nese
language : en
Publisher:
Release Date : 2013
A Primer On Longitudinal Data Analysis In Education Technical Report 1320 written by Joseph F. T. Nese and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
Longitudinal data analysis in education is the study growth over time. A longitudinal study is one in which repeated observations of the same variables are recorded for the same individuals over a period of time. This type of research is known by many names (e.g., time series analysis or repeated measures design), each of which can imply subtle differences in the data or analysis, but generally follows the same definition. The purpose of this paper is to provide an overview of longitudinal data analysis in education for practitioners, administrators, and other consumers of educational research, focusing on: the purposes of longitudinal data analysis in education, some of its benefits and limitations, and the various analyses used to model student growth trajectories.
Applied Longitudinal Data Analysis For Epidemiology
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Author : Jos W. R. Twisk
language : en
Publisher: Cambridge University Press
Release Date : 2013-05-09
Applied Longitudinal Data Analysis For Epidemiology written by Jos W. R. Twisk and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-09 with Medical categories.
A practical guide to the most important techniques available for longitudinal data analysis, essential for non-statisticians and researchers.
Intensive Longitudinal Methods
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Author : Niall Bolger
language : en
Publisher: Guilford Press
Release Date : 2013-01-22
Intensive Longitudinal Methods written by Niall Bolger and has been published by Guilford Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-22 with Psychology categories.
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).
Longitudinal Data Analysis
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Author : Garrett Fitzmaurice
language : en
Publisher: CRC Press
Release Date : 2008-08-11
Longitudinal Data Analysis written by Garrett Fitzmaurice and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-08-11 with Mathematics categories.
Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory
Research Methods In Occupational Health Psychology
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Author : Robert R. Sinclair
language : en
Publisher: Routledge
Release Date : 2012-11-12
Research Methods In Occupational Health Psychology written by Robert R. Sinclair and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-12 with Psychology categories.
Research Methods in Occupational Health Psychology: Measurement, Design, and Data Analysis provides a state-of-the-art review of current issues and best practices in the science of Occupational Health Psychology. Occupational Health Psychology (OHP) is a multidisciplinary and rapidly growing area of research and it is difficult or impossible for researchers to keep up with developments in all of the fields where scholars conduct OHP science. This book will help OHP scholars improve their own research by translating recent innovations in methodology into sets of concrete recommendations that will help scholars improve their own research as well as their training of future researchers.
Quantitative Data Analysis For Language Assessment Volume Ii
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Author : Vahid Aryadoust
language : en
Publisher: Routledge
Release Date : 2019-07-04
Quantitative Data Analysis For Language Assessment Volume Ii written by Vahid Aryadoust and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-04 with Education categories.
Quantitative Data Analysis for Language Assessment Volume II: Advanced Methods demonstrates advanced quantitative techniques for language assessment. The volume takes an interdisciplinary approach and taps into expertise from language assessment, data mining, and psychometrics. The techniques covered include Structural Equation Modeling, Data Mining, Multidimensional Psychometrics and Multilevel Data Analysis.Volume II is distinct among available books in language assessment, as it engages the readers in both theory and application of the methods and introduces relevant techniques for theory construction and validation. This book is highly recommended to graduate students and researchers who are searching for innovative and rigorous approaches and methods to achieve excellence in their dissertations and research. It is also a valuable source for academics who teach quantitative approaches in language assessment and data analysis courses.
The Sage Encyclopedia Of Social Science Research Methods
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Author : Michael Lewis-Beck
language : en
Publisher: SAGE Publications
Release Date : 2003-12-15
The Sage Encyclopedia Of Social Science Research Methods 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.
Handbook Of Research Methods In Organizational Change
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Author : David B. Szabla
language : en
Publisher: Edward Elgar Publishing
Release Date : 2023-08-14
Handbook Of Research Methods In Organizational Change written by David B. Szabla and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-14 with Business & Economics categories.
The Handbook of Research Methods in Organizational Change offers innovative and practical information to aid in the successful implementation of research methodologies. Written by a collective of experienced scholars, it provides inspiration for future academics wishing to advance research into human system changes.
Industrial Data Analytics For Diagnosis And Prognosis
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Author : Shiyu Zhou
language : en
Publisher: John Wiley & Sons
Release Date : 2021-08-31
Industrial Data Analytics For Diagnosis And Prognosis written by Shiyu Zhou and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-31 with Mathematics categories.
Discover data analytics methodologies for the diagnosis and prognosis of industrial systems under a unified random effects model In Industrial Data Analytics for Diagnosis and Prognosis - A Random Effects Modelling Approach, distinguished engineers Shiyu Zhou and Yong Chen deliver a rigorous and practical introduction to the random effects modeling approach for industrial system diagnosis and prognosis. In the book’s two parts, general statistical concepts and useful theory are described and explained, as are industrial diagnosis and prognosis methods. The accomplished authors describe and model fixed effects, random effects, and variation in univariate and multivariate datasets and cover the application of the random effects approach to diagnosis of variation sources in industrial processes. They offer a detailed performance comparison of different diagnosis methods before moving on to the application of the random effects approach to failure prognosis in industrial processes and systems. In addition to presenting the joint prognosis model, which integrates the survival regression model with the mixed effects regression model, the book also offers readers: A thorough introduction to describing variation of industrial data, including univariate and multivariate random variables and probability distributions Rigorous treatments of the diagnosis of variation sources using PCA pattern matching and the random effects model An exploration of extended mixed effects model, including mixture prior and Kalman filtering approach, for real time prognosis A detailed presentation of Gaussian process model as a flexible approach for the prediction of temporal degradation signals Ideal for senior year undergraduate students and postgraduate students in industrial, manufacturing, mechanical, and electrical engineering, Industrial Data Analytics for Diagnosis and Prognosis is also an indispensable guide for researchers and engineers interested in data analytics methods for system diagnosis and prognosis.