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Specifications For Longitudinal Studies
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Book Synopsis The Design and Analysis of Longitudinal Studies by : Harvey Goldstein
Download or read book The Design and Analysis of Longitudinal Studies written by Harvey Goldstein and published by . This book was released on 1979 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: The theory and practice of longitudinal studies; Sampling and design; The choice of measurement scales over time; The analysis of models for time related measurement; The analysis of models for relating measurements at differene occasions; Population standards or norms; Data processing.
Book Synopsis Specifications for Longitudinal Studies by : Stephen J. Franchak
Download or read book Specifications for Longitudinal Studies written by Stephen J. Franchak and published by . This book was released on 1980 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Methods and Applications of Longitudinal Data Analysis by : Xian Liu
Download or read book Methods and Applications of Longitudinal Data Analysis written by Xian Liu and published by Elsevier. This book was released on 2015-09-11 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical, biological and behavioral sciences. It introduces basic concepts and functions including a variety of regression models, and their practical applications across many areas of research. Statistical procedures featured within the text include: descriptive methods for delineating trends over time linear mixed regression models with both fixed and random effects covariance pattern models on correlated errors generalized estimating equations nonlinear regression models for categorical repeated measurements techniques for analyzing longitudinal data with non-ignorable missing observations Emphasis is given to applications of these methods, using substantial empirical illustrations, designed to help users of statistics better analyze and understand longitudinal data. Methods and Applications of Longitudinal Data Analysis equips both graduate students and professionals to confidently apply longitudinal data analysis to their particular discipline. It also provides a valuable reference source for applied statisticians, demographers and other quantitative methodologists. From novice to professional: this book starts with the introduction of basic models and ends with the description of some of the most advanced models in longitudinal data analysis Enables students to select the correct statistical methods to apply to their longitudinal data and avoid the pitfalls associated with incorrect selection Identifies the limitations of classical repeated measures models and describes newly developed techniques, along with real-world examples.
Book Synopsis Missing Data in Longitudinal Studies by : Michael J. Daniels
Download or read book Missing Data in Longitudinal Studies written by Michael J. Daniels and published by CRC Press. This book was released on 2008-03-11 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing from the authors' own work and from the most recent developments in the field, Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis describes a comprehensive Bayesian approach for drawing inference from incomplete data in longitudinal studies. To illustrate these methods, the authors employ
Book Synopsis Longitudinal Data Analysis by : Garrett Fitzmaurice
Download or read book Longitudinal Data Analysis written by Garrett Fitzmaurice and published by CRC Press. This book was released on 2008-08-11 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Longitudinal Field Research Methods by : George P. Huber
Download or read book Longitudinal Field Research Methods written by George P. Huber and published by SAGE. This book was released on 1995-08-02 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Eleven papers, some of which have appeared previously as contributions to the journal Organizational Science , emphasize a range of methodological issues involved in longitudinal field research, including ethnographic methods, longitudinal and comparative case studies, event history analysis, and real-time tracking of events, as well as procedural.
Book Synopsis Applied Longitudinal Data Analysis by : Judith D. Singer
Download or read book Applied Longitudinal Data Analysis written by Judith D. Singer and published by Oxford University Press. This book was released on 2003-03-27 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: Change is constant in everyday life. Infants crawl and then walk, children learn to read and write, teenagers mature in myriad ways, the elderly become frail and forgetful. Beyond these natural processes and events, external forces and interventions instigate and disrupt change: test scores may rise after a coaching course, drug abusers may remain abstinent after residential treatment. By charting changes over time and investigating whether and when events occur, researchers reveal the temporal rhythms of our lives. Applied Longitudinal Data Analysis is a much-needed professional book for empirical researchers and graduate students in the behavioral, social, and biomedical sciences. It offers the first accessible in-depth presentation of two of today's most popular statistical methods: multilevel models for individual change and hazard/survival models for event occurrence (in both discrete- and continuous-time). Using clear, concise prose and real data sets from published studies, the authors take you step by step through complete analyses, from simple exploratory displays that reveal underlying patterns through sophisticated specifications of complex statistical models. Applied Longitudinal Data Analysis offers readers a private consultation session with internationally recognized experts and represents a unique contribution to the literature on quantitative empirical methods. Visit http://www.ats.ucla.edu/stat/examples/alda.htm for: · Downloadable data sets · Library of computer programs in SAS, SPSS, Stata, HLM, MLwiN, and more · Additional material for data analysis
Book Synopsis Education Finance in the New Millennium by : Stephen Chaikind
Download or read book Education Finance in the New Millennium written by Stephen Chaikind and published by Eye On Education. This book was released on 2001 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: First Published in 2001. Routledge is an imprint of Taylor & Francis, an informa company.
Book Synopsis Syracuse University Final Report...specifications for a Comprehensive Undergraduate and Inservice Teacher Education Program for Elementary Teachers by : United States. Education Office
Download or read book Syracuse University Final Report...specifications for a Comprehensive Undergraduate and Inservice Teacher Education Program for Elementary Teachers written by United States. Education Office and published by . This book was released on 1968 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Analytic issues in the assessment of student achievement proceedings from a research seminar by :
Download or read book Analytic issues in the assessment of student achievement proceedings from a research seminar written by and published by DIANE Publishing. This book was released on with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Improving Student Achievement by : David W. Grissmer
Download or read book Improving Student Achievement written by David W. Grissmer and published by Rand Corporation. This book was released on 2000-07-19 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why do students have different achievement levels across states? Is math achievement improving across states? Differences in average achievement levels across states are mainly traceable to differing family characteristics. However, students from similar families also score differently across states. These differences are related to differences in resource levels and in how resources are spent. States with high spending per pupil, lower pupil-teacher ratios, higher participation in public prekindergarten and higher reported teacher resources have higher achievement. Disadvantaged children are the most sensitive to low resource, and additional resources could substantially their scores. Between-state, rather than within-state, differences in resources appear to be the main reason for inequitable resource levels for students of lower socioeconomic status. The conclusion is that significant math gains are occurring across most states that cannot be traced to resource changes, that the rate of gain varies significantly by state, and that reform efforts are the likely cause of these gains. The results certainly challenge the traditional view of public education as unreformable.
Book Synopsis Implement, Improve and Expand Your Statewide Longitudinal Data System by : Jamie McQuiggan
Download or read book Implement, Improve and Expand Your Statewide Longitudinal Data System written by Jamie McQuiggan and published by John Wiley & Sons. This book was released on 2014-01-28 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Step-by-step guidance for implementing an effective statewide longitudinal data system Every U.S. state faces challenges in its efforts to ensure the highest-quality education for students. To address these challenges, a growing number of states are establishing statewide longitudinal data systems (SLDSs), a data-rich system integrating relevant data about a student's education. Implementing Statewide Longitudinal Data Systems for Education presents a detailed and contextualized discussion of SLDSs, which will serve as a recipe for states that want to implement an SLDS, develop design and enactment of new and existing SLDS systems, addressing implementation, operation and optimization. Provides a contextualized discussion of the history and purpose of SLDSs Describes how to plan for and implement an SLDS, including best practices regarding data governance, standards and privacy Discusses proven methods of data management, and details the two most popular methods of database architectures used for SLDSs Provides 5 case studies of states successfully using SLDSs Offers suggestions for expansion and inclusion of new datasets over time This essential book addresses the culture of data concept, providing a guide for states to usher in a new era in their education system where data is invaluable and used by everyone, not simply the newest version of the old system. A robust LDS initiative includes linked student records, teacher records, test scores, course selection, finances, certifications, licensure, salary and more. Concluding with a discussion of the potential future uses of SLDS, this book is the ultimate guide to SLDS implementation and understanding.
Book Synopsis Measurement Error in Longitudinal Data by : Alexandru Cernat
Download or read book Measurement Error in Longitudinal Data written by Alexandru Cernat and published by Oxford University Press. This book was released on 2021-03-18 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Longitudinal data is essential for understanding how the world around us changes. Most theories in the social sciences and elsewhere have a focus on change, be it of individuals, of countries, of organizations, or of systems, and this is reflected in the myriad of longitudinal data that are being collected using large panel surveys. This type of data collection has been made easier in the age of Big Data and with the rise of social media. Yet our measurements of the world are often imperfect, and longitudinal data is vulnerable to measurement errors which can lead to flawed and misleading conclusions. Measurement Error in Longitudinal Data tackles the important issue of how to investigate change in the context of imperfect data. It compiles the latest advances in estimating change in the presence of measurement error from several fields and covers the entire process, from the best ways of collecting longitudinal data, to statistical models to estimate change under uncertainty, to examples of researchers applying these methods in the real world. This book introduces the essential issues of longitudinal data collection, such as memory effects, panel conditioning (or mere measurement effects), the use of administrative data, and the collection of multi-mode longitudinal data. It also presents some of the most important models used in this area, including quasi-simplex models, latent growth models, latent Markov chains, and equivalence/DIF testing. Finally, the use of vignettes in the context of longitudinal data and estimation methods for multilevel models of change in the presence of measurement error are also discussed.
Book Synopsis Longitudinal Data Analysis by : Jason Newsom
Download or read book Longitudinal Data Analysis written by Jason Newsom and published by Routledge. This book was released on 2013-06-19 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides accessible treatment to state-of-the-art approaches to analyzing longitudinal studies. Comprehensive coverage of the most popular analysis tools allows readers to pick and choose the techniques that best fit their research. The analyses are illustrated with examples from major longitudinal data sets including practical information about their content and design. Illustrations from popular software packages offer tips on how to interpret the results. Each chapter features suggested readings for additional study and a list of articles that further illustrate how to implement the analysis and report the results. Syntax examples for several software packages for each of the chapter examples are provided at www.psypress.com/longitudinal-data-analysis. Although many of the examples address health or social science questions related to aging, readers from other disciplines will find the analyses relevant to their work. In addition to demonstrating statistical analysis of longitudinal data, the book shows how to interpret and analyze the results within the context of the research design. The methods covered in this book are applicable to a range of applied problems including short- to long-term longitudinal studies using a range of sample sizes. The book provides non-technical, practical introductions to the concepts and issues relevant to longitudinal analysis. Topics include use of publicly available data sets, weighting and adjusting for complex sampling designs with longitudinal studies, missing data and attrition, measurement issues related to longitudinal research, the use of ANOVA and regression for average change over time, mediation analysis, growth curve models, basic and advanced structural equation models, and survival analysis. An ideal supplement for graduate level courses on data analysis and/or longitudinal modeling taught in psychology, gerontology, public health, human development, family studies, medicine, sociology, social work, and other behavioral, social, and health sciences, this multidisciplinary book will also appeal to researchers in these fields.
Book Synopsis Handbook of Longitudinal Research by : Scott Menard
Download or read book Handbook of Longitudinal Research written by Scott Menard and published by Elsevier. This book was released on 2007-10-11 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: Longitudinal research is a broad field in which substantial advances have been made over the past decade. Unlike many of the existing books that only address the analysis of information. The Handbook of Longitudinal Research covers design and measurement as well as the data analysis. Designed for use by a wide-ranging audience, this Handbook not only includes perspective on the methodological and data analysis problems in longitudinal research but it also includes contributors' data sets that enable readers who lack sophisticated statistics skills to move from theories about longitudinal data into practice. As the comprehensive reference, this Handbook has no direct competition as most books in this subject area are more narrowly specialized and are pitched at a high mathematical level. Contributors and subject areas are interdisciplinary to reach the broadest possible audience (i.e., psychology, epidemiology, and economics research fields) Summary material will be included for less sohisticated readers Extensive coverage is provided of traditional advanced topics
Download or read book Resources in Education written by and published by . This book was released on 1998 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Modelling Longitudinal and Spatially Correlated Data by : Timothy G. Gregoire
Download or read book Modelling Longitudinal and Spatially Correlated Data written by Timothy G. Gregoire and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Correlated data arise in numerous contexts across a wide spectrum of subject-matter disciplines. Modeling such data present special challenges and opportunities that have received increasing scrutiny by the statistical community in recent years. In October 1996 a group of 210 statisticians and other scientists assembled on the small island of Nantucket, U. S. A. , to present and discuss new developments relating to Modelling Longitudinal and Spatially Correlated Data: Methods, Applications, and Future Direc tions. Its purpose was to provide a cross-disciplinary forum to explore the commonalities and meaningful differences in the source and treatment of such data. This volume is a compilation of some of the important invited and volunteered presentations made during that conference. The three days and evenings of oral and displayed presentations were arranged into six broad thematic areas. The session themes, the invited speakers and the topics they addressed were as follows: • Generalized Linear Models: Peter McCullagh-"Residual Likelihood in Linear and Generalized Linear Models" • Longitudinal Data Analysis: Nan Laird-"Using the General Linear Mixed Model to Analyze Unbalanced Repeated Measures and Longi tudinal Data" • Spatio---Temporal Processes: David R. Brillinger-"Statistical Analy sis of the Tracks of Moving Particles" • Spatial Data Analysis: Noel A. Cressie-"Statistical Models for Lat tice Data" • Modelling Messy Data: Raymond J. Carroll-"Some Results on Gen eralized Linear Mixed Models with Measurement Error in Covariates" • Future Directions: Peter J.
