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Data Analysis with Mplus, Geiser



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Автор: Geiser
Название:  Data Analysis with Mplus
ISBN: 9781462502455
Издательство: Taylor&Francis
Классификация:
ISBN-10: 1462502458
Обложка/Формат: Paperback
Страницы: 305
Вес: 0.46 кг.
Дата издания: 22.01.2013
Серия: Methodology in the social sciences
Язык: English
Иллюстрации: Black & white illustrations, figures
Размер: 156 x 236 x 14
Читательская аудитория: Postgraduate, research & scholarly
Ключевые слова: Psychological methodology, PSYCHOLOGY / General,PSYCHOLOGY / Statistics
Основная тема: Psychological Methods & Statistics
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Поставляется из: Англии



Applied Survey Data Analysis, Second Edition

Автор: Heeringa
Название: Applied Survey Data Analysis, Second Edition
ISBN: 1498761607 ISBN-13(EAN): 9781498761604
Издательство: Taylor&Francis
Рейтинг:
Цена: 10311 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Highly recommended by the Journal of Official Statistics, The American Statistician, and other journals, Applied Survey Data Analysis, Second Edition provides an up-to-date overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on practical approaches to descriptive analysis and regression modeling from the first edition, this second edition expands the topics covered and presents more step-by-step examples of modern approaches to the analysis of survey data using the newest statistical software.

Designed for readers working in a wide array of disciplines who use survey data in their work, this book continues to provide a useful framework for integrating more in-depth studies of the theory and methods of survey data analysis. An example-driven guide to the applied statistical analysis and interpretation of survey data, the second edition contains many new examples and practical exercises based on recent versions of real-world survey data sets. Although the authors continue to use Stata for most examples in the text, they also continue to offer SAS, SPSS, SUDAAN, R, WesVar, IVEware, and Mplus software code for replicating the examples on the book's updated Web site.

Автор: Enders, Craig K.
Название: Applied Missing Data Analysis
ISBN: 1606236393 ISBN-13(EAN): 9781606236390
Издательство: Taylor&Francis
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Цена: 7286 р.
Наличие на складе: Невозможна поставка.

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.

Multiple Factor Analysis by Example Using R

Автор: Pages
Название: Multiple Factor Analysis by Example Using R
ISBN: 1482205475 ISBN-13(EAN): 9781482205473
Издательство: Taylor&Francis
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Цена: 10313 р.
Наличие на складе: Невозможна поставка.

Описание: Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the theoretical and methodological aspects of MFA. It also includes examples of applications and details of how to implement MFA using an R package (FactoMineR). The first two chapters cover the basic factorial analysis methods of principal component analysis (PCA) and multiple correspondence analysis (MCA). The next chapter discusses factor analysis for mixed data (FAMD), a little-known method for simultaneously analyzing quantitative and qualitative variables without group distinction. Focusing on MFA, subsequent chapters examine the key points of MFA in the context of quantitative variables as well as qualitative and mixed data. The author also compares MFA and Procrustes analysis and presents a natural extension of MFA: hierarchical MFA (HMFA). The final chapter explores several elements of matrix calculation and metric spaces used in the book.

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
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Цена: 6736 р.
Наличие на складе: 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.

Advanced quantitative data analysis

Автор: Cramer, Duncan
Название: Advanced quantitative data analysis
ISBN: 0335200591 ISBN-13(EAN): 9780335200597
Издательство: McGraw-Hill
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Цена: 4536 р.
Наличие на складе: Поставка под заказ.

Описание: What do advanced statistical techniques do? When is it appropriate to use them? How are they carried out and reported? There are a variety of statistical techniques that are used to analyse quantitative data. This book explains these techniques, when it is appropriate to use them, how to carry them out and how to write up the results.

Statistical power analysis with missing data

Автор: Davey, Adam Savla, Jyoti
Название: Statistical power analysis with missing data
ISBN: 0805863702 ISBN-13(EAN): 9780805863703
Издательство: Taylor&Francis
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Цена: 5499 р.
Наличие на складе: Поставка под заказ.

Описание: A Structural Equation Modeling Approach. .

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: 9624 р.
Наличие на складе: 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. The author shows how to prepare a data set for import in Mplus using SPSS. He explains how to specify different types of models in Mplus syntax and address typical caveats--for example, assessing measurement invariance in longitudinal SEMs. Coverage includes path and factor analytic models as well as mediational, longitudinal, multilevel, and latent class models. Specific programming tips and solution strategies are presented in boxes in each chapter. The companion website (www.guilford.com/geiser-materials) features data sets, annotated syntax files, and output for all of the examples. Of special utility to instructors and students, many of the examples can be run with the free demo version of Mplus.

Structural Equation Modeling with Mplus

Автор: Byrne
Название: Structural Equation Modeling with Mplus
ISBN: 0805859861 ISBN-13(EAN): 9780805859867
Издательство: Taylor&Francis
Рейтинг:
Цена: 17875 р.
Наличие на складе: Поставка под заказ.

Описание:

Modeled after Barbara Byrne's other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using Mplus Versions 5 & 6. The author reviews SEM applications based on actual data taken from her own research. Using non-mathematical language, it is written for the novice SEM user. With each application chapter, the author "walks" the reader through all steps involved in testing the SEM model including:

  • an explanation of the issues addressed
  • illustrated and annotated testing of the hypothesized and post hoc models
  • explanation and interpretation of all Mplus input and output files
  • important caveats pertinent to the SEM application under study
  • a description of the data and reference upon which the model was based
  • the corresponding data and syntax files available at http: //www.psypress.com/sem-with-mplus/datasets .

The first two chapters introduce the fundamental concepts of SEM and important basics of the Mplus program. The remaining chapters focus on SEM applications and include a variety of SEM models presented within the context of three sections: Single-group analyses, Multiple-group analyses, and other important topics, the latter of which includes the multitrait-multimethod, latent growth curve, and multilevel models.

Intended for researchers, practitioners, and students who use SEM and Mplus, this book is an ideal resource for graduate level courses on SEM taught in psychology, education, business, and other social and health sciences and/or as a supplement for courses on applied statistics, multivariate statistics, intermediate or advanced statistics, and/or research design. Appropriate for those with limited exposure to SEM or Mplus, a prerequisite of basic statistics through regression analysis is recommended.

Structural Equation Modeling with MPlus

Автор: Byrne Barbara
Название: Structural Equation Modeling with MPlus
ISBN: 1848728395 ISBN-13(EAN): 9781848728394
Издательство: Taylor&Francis
Рейтинг:
Цена: 6461 р.
Наличие на складе: Поставка под заказ.

Описание:

Modeled after Barbara Byrne's other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using Mplus Versions 5 & 6. The author reviews SEM applications based on actual data taken from her own research. Using non-mathematical language, it is written for the novice SEM user. With each application chapter, the author "walks" the reader through all steps involved in testing the SEM model including:

  • an explanation of the issues addressed
  • illustrated and annotated testing of the hypothesized and post hoc models
  • explanation and interpretation of all Mplus input and output files
  • important caveats pertinent to the SEM application under study
  • a description of the data and reference upon which the model was based
  • the corresponding data and syntax files available under "Supplementary Material" below

The first two chapters introduce the fundamental concepts of SEM and important basics of the Mplus program. The remaining chapters focus on SEM applications and include a variety of SEM models presented within the context of three sections: Single-group analyses, Multiple-group analyses, and other important topics, the latter of which includes the multitrait-multimethod, latent growth curve, and multilevel models.

Intended for researchers, practitioners, and students who use SEM and Mplus, this book is an ideal resource for graduate level courses on SEM taught in psychology, education, business, and other social and health sciences and/or as a supplement for courses on applied statistics, multivariate statistics, intermediate or advanced statistics, and/or research design. Appropriate for those with limited exposure to SEM or Mplus, a prerequisite of basic statistics through regression analysis is recommended.

Research design and statistical analysis

Автор: Myers, Jerome L
Название: Research design and statistical analysis
ISBN: 0805864318 ISBN-13(EAN): 9780805864311
Издательство: Taylor&Francis
Рейтинг:
Цена: 16500 р.
Наличие на складе: Невозможна поставка.

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.

Behavioral Research Data Analysis with R

Автор: Li Y., Baron J.
Название: Behavioral Research Data Analysis with R
ISBN: 1461412374 ISBN-13(EAN): 9781461412373
Издательство: Springer
Рейтинг:
Цена: 8084 р.
Наличие на складе: 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.

New Developments in Categorical Data Analysis for the Social and Behavioral Sciences

Название: New Developments in Categorical Data Analysis for the Social and Behavioral Sciences
ISBN: 0415650429 ISBN-13(EAN): 9780415650427
Издательство: Taylor&Francis
Рейтинг:
Цена: 6461 р.
Наличие на складе: Невозможна поставка.

Описание: Categorical data are quantified as either nominal variables--distinguishing different groups, for example, based on socio-economic status, education, and political persuasion--or ordinal variables--distinguishing levels of interest, such as the preferred politician or the preferred type of punishment for committing burglary. This new book is a collection of up-to-date studies on modern categorical data analysis methods, emphasizing their application to relevant and interesting data sets.This volume concentrates on latent class analysis and item response theory. These methods use latent variables to explain the relationships among observed categorical variables. Latent class analysis yields the classification of a group of respondents according to their pattern of scores on the categorical variables. This provides insight into the mechanisms producing the data and allows the estimation of factor structures and regression models conditional on the latent class structure. Item response theory leads to the identification of one or more ordinal or interval scales. In psychological and educational testing these scales are used for individual measurement of abilities and personality traits.The focus of this volume is applied. After a method is explained, the potential of the method for analyzing categorical data is illustrated by means of a real data example to show how it can be used effectively for solving a real data problem. These methods are accessible to researchers not trained explicitly in applied statistics. This volume appeals to researchers and advanced students in the social and behavioral sciences, including social, developmental, organizational, clinical and health psychologists, sociologists, educational and marketing researchers, and political scientists. In addition, it is of interest to those who collect data on categorical variables and are faced with the problem of how to analyze such variables--among themselves or in relation to metric variables.


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