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Data Analysis with Mplus, Geiser



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Автор: Geiser
Название:  Data Analysis with Mplus
ISBN: 9781462507825
Издательство: Taylor&Francis
Классификация:
ISBN-10: 1462507824
Обложка/Формат: Hardback
Страницы: 305
Вес: 0.568 кг.
Дата издания: 22.01.2013
Серия: Methodology in the social sciences
Язык: English
Иллюстрации: Black & white illustrations, figures
Размер: 234 x 162 x 18
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
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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.
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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.

Discrete Data Analysis with R

Автор: Friendly
Название: Discrete Data Analysis with R
ISBN: 149872583X ISBN-13(EAN): 9781498725835
Издательство: Taylor&Francis
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Цена: 10999 р.
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Описание: An Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data 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. The book is designed for advanced undergraduate and graduate students in the social and health sciences, epidemiology, economics, business, statistics, and biostatistics as well as researchers, methodologists, and consultants who can use the methods with their own data and analyses. Along with describing the necessary statistical theory, the authors illustrate the practical application of the techniques to a large number of substantive problems, including how to organize data, conduct an analysis, produce informative graphs, and evaluate what the graphs reveal about the data. The first part of the book contains introductory material on graphical methods for discrete data, basic R skills, and methods for fitting and visualizing one-way discrete distributions. The second part focuses on simple, traditional nonparametric tests and exploratory methods for visualizing patterns of association in two-way and larger frequency tables. The final part of the text discusses model-based methods for the analysis of discrete data. Web ResourceThe data sets and R software used, including the authors’ own vcd and vcdExtra packages, are available at http://cran.r-project.org.

Data analysis

Автор: Judd, Charles M. Mcclelland, Gary H. Ryan, Carey S
Название: Data analysis
ISBN: 0805833889 ISBN-13(EAN): 9780805833881
Издательство: Taylor&Francis
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Цена: 5493 р.
Наличие на складе: 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.

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.
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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.

Applied Survey Data Analysis

Автор: Heeringa
Название: Applied Survey Data Analysis
ISBN: 1420080660 ISBN-13(EAN): 9781420080667
Издательство: Taylor&Francis
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Цена: 9211 р.
Наличие на складе: Поставка под заказ.

Описание: With many examples and exercises based on major real-world survey data sets, this book provides a practical statistical overview of the analysis of complex sample survey data. It presents many methods and models for survey data analysis, including the linear regression, generalized linear, Cox proportional hazards, and discrete time models. It also explores new developments in advanced statistical techniques, such as multilevel analysis of survey data. The authors show how design characteristics are easily incorporated into the statistical methods and software for survey estimation and inference. Although Stata is used for most examples in the text, other software code is also offered on the book’s website.

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: 1462502458 ISBN-13(EAN): 9781462502455
Издательство: Taylor&Francis
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Цена: 5361 р.
Наличие на складе: Невозможна поставка.

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
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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.


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