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Applied Missing Data Analysis, Enders, Craig K.



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Автор: Enders, Craig K.
Название:  Applied Missing Data Analysis
Перевод названия: Крейг К. Эндерс: Прикладной анализ недостающих данных
ISBN: 9781606236390
Издательство: Taylor&Francis
Классификация:
ISBN-10: 1606236393
Обложка/Формат: Hardback
Страницы: 382
Вес: 0.888 кг.
Дата издания: 02.08.2010
Серия: Methodology in the social sciences
Язык: English
Иллюстрации: Illustrations
Размер: 262 x 187 x 24
Читательская аудитория: Postgraduate, research & scholarly
Рейтинг:
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: 13611 р.
Наличие на складе: Ожидается поступление.

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.

Applied Survey Data Analysis

Автор: Heeringa
Название: Applied Survey Data Analysis
ISBN: 1420080660 ISBN-13(EAN): 9781420080667
Издательство: Taylor&Francis
Рейтинг:
Цена: 12159 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
Рейтинг:
Цена: 7258 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: A Structural Equation Modeling Approach. .

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: 21780 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.

Confirmatory Factor Analysis for Applied Research, Second Edition

Автор: Brown
Название: Confirmatory Factor Analysis for Applied Research, Second Edition
ISBN: 146251779X ISBN-13(EAN): 9781462517794
Издательство: Taylor&Francis
Рейтинг:
Цена: 16333 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: With its emphasis on practical and conceptual aspects, rather than mathematics or formulas, this accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA). 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.

Data Analysis with Mplus

Автор: Geiser
Название: Data Analysis with Mplus
ISBN: 1462507824 ISBN-13(EAN): 9781462507825
Издательство: Taylor&Francis
Рейтинг:
Цена: 12703 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.

Data Analysis with Mplus

Автор: Geiser
Название: Data Analysis with Mplus
ISBN: 1462502458 ISBN-13(EAN): 9781462502455
Издательство: Taylor&Francis
Рейтинг:
Цена: 6714 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.

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: 8529 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.

Data Analysis

Автор: Judd
Название: Data Analysis
ISBN: 1138819824 ISBN-13(EAN): 9781138819825
Издательство: Taylor&Francis
Рейтинг:
Цена: 25410 р.
Наличие на складе: Невозможна поставка.

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.

Data Analysis

Автор: Judd
Название: Data Analysis
ISBN: 1138819832 ISBN-13(EAN): 9781138819832
Издательство: Taylor&Francis
Рейтинг:
Цена: 12703 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.

Discrete Data Analysis with R

Автор: Friendly
Название: Discrete Data Analysis with R
ISBN: 149872583X ISBN-13(EAN): 9781498725835
Издательство: Taylor&Francis
Рейтинг:
Цена: 14518 р.
Наличие на складе: Поставка под заказ.

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
Рейтинг:
Цена: 7251 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.


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