Analysis of Multivariate Social Science Data, Bartholomew, David J.
Новое издание
Автор: Moustaki, Irini Steele, Fiona Chen, Yunxiao Bartholomew, David Название: Analysis of multivariate social science data ISBN: 1032763728 ISBN-13(EAN): 9781032763729 Издательство: Taylor&Francis Цена: 7961.00 р. Наличие на складе: Есть у поставщикаПоставка под заказ.
Автор: Jones, Richard N. Название: Longitudinal Data Analysis ISBN: 0415874157 ISBN-13(EAN): 9780415874151 Издательство: Taylor&Francis Рейтинг: Цена: 9033.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Newsom Название: Longitudinal Data Analysis ISBN: 0415874149 ISBN-13(EAN): 9780415874144 Издательство: Taylor&Francis Рейтинг: Цена: 23734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
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.
Автор: Kimmo Vehkalahti , Brian S. Everitt Название: Multivariate Analysis for the Behavioral Sciences, Second Edition ISBN: 0815385153 ISBN-13(EAN): 9780815385158 Издательство: Taylor&Francis Рейтинг: Цена: 13779.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists.
Автор: Husson, Francois Le, Sebastien Pages, Jerome Название: Exploratory multivariate analysis by example using r ISBN: 036765802X ISBN-13(EAN): 9780367658021 Издательство: Taylor&Francis Рейтинг: Цена: 8114.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis.
Автор: Afifi Abdelmonem, May Susanne, Donatello Robin A. Название: Practical Multivariate Analysis ISBN: 1032088478 ISBN-13(EAN): 9781032088471 Издательство: Taylor&Francis Рейтинг: Цена: 7961.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the sixth edition of a popular textbook on multivariate analysis. Well-regarded for its practical and accessible approach, with excellent examples and good guidance on computing, the book is particularly popular for teaching outside statistics, i.e. in epidemiology, social science, business, etc.
Описание: "Describes recent developments and surveys important topics in the areas of multivariate analysis, design of experiments, and survey sampling. Features the work of nearly 50 international leaders."
Автор: Dugard, Pat Название: Approaching Multivariate Analysis, 2nd Edition ISBN: 0415478286 ISBN-13(EAN): 9780415478281 Издательство: Taylor&Francis Рейтинг: Цена: 23734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Cumming, Geoff Название: Understanding The New Statistics ISBN: 0415879671 ISBN-13(EAN): 9780415879675 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Cumming, Geoff Название: Understanding The New Statistics ISBN: 041587968X ISBN-13(EAN): 9780415879682 Издательство: Taylor&Francis Рейтинг: Цена: 8879.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Konishi, Sadanori Название: Introduction to Multivariate Analysis ISBN: 0367576139 ISBN-13(EAN): 9780367576134 Издательство: Taylor&Francis Рейтинг: Цена: 7961.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Dugard Название: Approaching Multivariate Analysis, 2nd Edition ISBN: 0415645913 ISBN-13(EAN): 9780415645911 Издательство: Taylor&Francis Рейтинг: Цена: 9033.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book gets students started, and prepares them to approach more comprehensive treatments with confidence. It`s an ideal text for psychology students, medical students and for any students or academics in disciplines that use multivariate methods.
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 estimationof 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.
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