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Applied missing data analysis, Enders, Craig K.

Автор: Enders, Craig K.
Название:  Applied missing data analysis
Издательство: Taylor&Francis
Классификация:
Психология

ISBN: 1606236393
ISBN-13(EAN): 9781606236390
ISBN: 1-60623-639-3
ISBN-13(EAN): 978-1-60623-639-0
Обложка/Формат: Hardback
Страницы: 382
Вес: 0.888 кг.
Дата издания: 02.08.2010
Серия: Methodology in the social sciences
Язык: ENG
Иллюстрации: Illustrations
Размер: 25.40 x 17.78 x 2.54 cm
Читательская аудитория: Postgraduate, research & scholarly
Рейтинг:
Поставляется из: Англии
Описание: Walking readers step by step through complex concepts, this book translates missing data techniques into something that applied researchers and graduate students can understand and utilize in their own research.
Дополнительное описание:


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Research design and statistical analysis

Автор: Myers, Jerome L
Название: Research design and statistical analysis
ISBN: 0805864318 ISBN-13(EAN): 9780805864311
Издательство: Taylor&Francis
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Цена: 7480 р.
Наличие на складе: Нет в наличии.

Описание: Provides coverage of the design principles and statistical concepts necessary to make sense of real data. This book provides an integrated example of how to apply the concepts and procedures covered in the chapters of the section. It reviews research planning and data exploration in statistics. It is suitable for practicing researchers.

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Confirmatory Factor Analysis for Applied Research, Second Edition

Автор: Brown, Timothy A.,
Название: Confirmatory Factor Analysis for Applied Research, Second Edition
ISBN: 1462515363 ISBN-13(EAN): 9781462515363
Издательство: Taylor&Francis
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Цена: 4207 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA) for its emphasis on practical and conceptual aspects rather than mathematics or formulas. Detailed, worked-through examples drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA methodology. The text shows how to formulate, program, and interpret CFA models using popular latent variable software packages (LISREL, Mplus, EQS, SAS/CALIS); understand the similarities and differences between CFA and exploratory factor analysis (EFA); and report results from a CFA study. It is filled with useful advice and tables that outline the procedures. The companion website offers data and program syntax files for most of the research examples, as well as links to CFA-related resources. New to This Edition *Updated throughout to incorporate important developments in latent variable modeling. *Chapter on Bayesian CFA and multilevel measurement models. *Addresses new topics (with examples): exploratory structural equation modeling, bifactor analysis, measurement invariance evaluation with categorical indicators, and a new method for scaling latent variables. *Utilizes the latest versions of major latent variable software packages.

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Categorical data analysis for the behavioral and social sciences

Название: Categorical data analysis for the behavioral and social sciences
ISBN: 1848728360 ISBN-13(EAN): 9781848728363
Издательство: Taylor&Francis
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Цена: 3926 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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Behavioral Research Data Analysis with R

Автор: Li
Название: Behavioral Research Data Analysis with R
ISBN: 1461412374 ISBN-13(EAN): 9781461412373
Издательство: Springer
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Цена: 5279 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book is written for behavioral scientists who want to consider adding R to their existing set of statistical tools, or want to switch to R as their main computation tool. The authors aim primarily to help practitioners of behavioral research make the transition to R. The focus is to provide practical advice on some of the widely-used statistical methods in behavioral research, using a set of notes and annotated examples. The book will also help beginners learn more about statistics and behavioral research. These are statistical techniques used by psychologists who do research on human subjects, but of course they are also relevant to researchers in others fields that do similar kinds of research. The authors emphasize practical data analytic skills so that they can be quickly incorporated into readers’ own research.

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Data Analysis with Mplus

Автор: Geiser
Название: Data Analysis with Mplus
ISBN: 1462507824 ISBN-13(EAN): 9781462507825
Издательство: Taylor&Francis
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Цена: 5796 р.
Наличие на складе: Нет в наличии.

Описание: A practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts.

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Data Analysis with Mplus

Автор: Geiser
Название: Data Analysis with Mplus
ISBN: 1462502458 ISBN-13(EAN): 9781462502455
Издательство: Taylor&Francis
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Цена: 3365 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: A practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts.

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Longitudinal Data Analysis

Автор: Newsom
Название: Longitudinal Data Analysis
ISBN: 0415874149 ISBN-13(EAN): 9780415874144
Издательство: Taylor&Francis
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Цена: 7013 р.
Наличие на складе: Нет в наличии.

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Data Analysis

Автор: Judd
Название: Data Analysis
ISBN: 1138819824 ISBN-13(EAN): 9781138819825
Издательство: Taylor&Francis
Рейтинг:
Цена: 9818 р.
Наличие на складе: Нет в наличии.

Описание:

Data Analysis: A Model Comparison Approach to Regression, ANOVA, and Beyond is an integrated treatment of data analysis for the social and behavioral sciences. It covers all of the statistical models normally used in such analyses, such as multiple regression and analysis of variance, but it does so in an integrated manner that relies on the comparison of models of data estimated under the rubric of the general linear model.  

Data Analysis also describes how the model comparison approach and uniform framework can be applied to models that include product predictors (i.e., interactions and nonlinear effects) and to observations that are nonindependent. Indeed, the analysis of nonindependent observations is treated in some detail, including models of nonindependent data with continuously varying predictors as well as standard repeated measures analysis of variance. This approach also provides an integrated introduction to multilevel or hierarchical linear models and logistic regression. Finally, Data Analysis provides guidance for the treatment of outliers and other problematic aspects of data analysis. It is intended for advanced undergraduate and graduate level courses in data analysis and offers an integrated approach that is very accessible and easy to teach.  

Highlights of the third edition include:

  • a new chapter on logistic regression;
  • expanded treatment of mixed models for data with multiple random factors;
  • updated examples;
  • an enhanced website with PowerPoint presentations and other tools that demonstrate the concepts in the book; exercises for each chapter that highlight research findings from the literature; data sets, R code, and SAS output for all analyses; additional examples and problem sets; and test questions.

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Data Analysis

Автор: Judd
Название: Data Analysis
ISBN: 1138819832 ISBN-13(EAN): 9781138819832
Издательство: Taylor&Francis
Рейтинг:
Цена: 5048 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Data Analysis: A Model Comparison Approach to Regression, ANOVA, and Beyond is an integrated treatment of data analysis for the social and behavioral sciences. It covers all of the statistical models normally used in such analyses, such as multiple regression and analysis of variance, but it does so in an integrated manner that relies on the comparison of models of data estimated under the rubric of the general linear model.  

Data Analysis also describes how the model comparison approach and uniform framework can be applied to models that include product predictors (i.e., interactions and nonlinear effects) and to observations that are nonindependent. Indeed, the analysis of nonindependent observations is treated in some detail, including models of nonindependent data with continuously varying predictors as well as standard repeated measures analysis of variance. This approach also provides an integrated introduction to multilevel or hierarchical linear models and logistic regression. Finally, Data Analysis provides guidance for the treatment of outliers and other problematic aspects of data analysis. It is intended for advanced undergraduate and graduate level courses in data analysis and offers an integrated approach that is very accessible and easy to teach.  

Highlights of the third edition include:

  • a new chapter on logistic regression;
  • expanded treatment of mixed models for data with multiple random factors;
  • updated examples;
  • an enhanced website with PowerPoint presentations and other tools that demonstrate the concepts in the book; exercises for each chapter that highlight research findings from the literature; data sets, R code, and SAS output for all analyses; additional examples and problem sets; and test questions.

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Discrete Data Analysis with R

Автор: Friendly
Название: Discrete Data Analysis with R
ISBN: 149872583X ISBN-13(EAN): 9781498725835
Издательство: Taylor&Francis
Рейтинг:
Цена: р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This text presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and frequency data. It explains how to use graphical methods for exploring data, spotting unusual features, visualizing fitted models, and presenting results. Along with describing the necessary statistical theory, the authors illustrate the practical application of the techniques to a large number of substantive problems. The data sets and R code are available on a supplementary website.

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Data analysis

Автор: Judd, Charles M. Mcclelland, Gary H. Ryan, Carey S
Название: Data analysis
ISBN: 0805833889 ISBN-13(EAN): 9780805833881
Издательство: Taylor&Francis
Рейтинг:
Цена: 3735 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Features many examples, insights and topics including mediational, categorical, and multilevel models of data analysis. This book focuses on regression analysis, followed by analysis of variance (ANOVA), mediational analyses, non-independent or correlated errors, including multilevel modeling, and outliers and error violations.

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Analysis of Multivariate Social Science Data, Second Edition

Название: Analysis of Multivariate Social Science Data, Second Edition
ISBN: 1584889608 ISBN-13(EAN): 9781584889601
Издательство: Taylor&Francis
Рейтинг:
Цена: 2804 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Exploring how to use key multivariate methods in the social sciences, this book contains three chapters on regression analysis, confirmatory factor analysis and structural equation models, and multilevel models. It presents various examples of real-world applications and establishes an approach to latent variable modeling.

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