Data analysis with mplus, Geiser, Christian

Автор: Erving Goffman
Название: Frame Analysis
ISBN: 093035091X ISBN-13(EAN): 9780930350918
Издательство: Неизвестно
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Автор: Lewis Taylor H.
Название: Complex Survey Data Analysis with SAS
ISBN: 1032242000 ISBN-13(EAN): 9781032242002
Издательство: Taylor&Francis
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Цена: 6583.00 р.
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Описание: Complex Survey Data Analysis with SAS (R) is an invaluable resource for applied researchers analyzing data generated from a sample design involving any combination of stratification, clustering, unequal weights, or finite population correction factors. After clearly explaining how the presence of these features can invalidate the assu

Автор: Enders, Craig K.
Название: Applied missing data analysis, second edition
ISBN: 1462549861 ISBN-13(EAN): 9781462549863
Издательство: Taylor&Francis
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Описание: The most user-friendly and authoritative resource on missing data has been completely revised to make room for the latest developments that make handling missing data more effective. The second edition includes new methods based on factored regressions, newer model-based imputation strategies, and innovations in Bayesian analysis. State-of-the-art technical literature on missing data is translated into accessible guidelines for applied researchers and graduate students. The second edition takes an even, three-pronged approach to maximum likelihood estimation (MLE), Bayesian estimation as an alternative to MLE, and multiple imputation. Consistently organized chapters explain the rationale and procedural details for each technique and illustrate the analyses with engaging worked-through examples on such topics as young adult smoking, employee turnover, and chronic pain. The companion website (www.appliedmissingdata.com) includes data sets and analysis examples from the book, up-to-date software information, and other resources. New to This Edition *Expanded coverage of Bayesian estimation, including a new chapter on incomplete categorical variables. *New chapters on factored regressions, model-based imputation strategies, multilevel missing data-handling methods, missing not at random analyses, and other timely topics. *Presents cutting-edge methods developed since the 2010 first edition; includes dozens of new data analysis examples. *Most of the book is entirely new.

Автор: Vartanian Thomas P.
Название: Secondary Data Analysis
ISBN: 019538881X ISBN-13(EAN): 9780195388817
Издательство: Oxford Academ
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Цена: 8078.00 р.
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Описание: This pocket guide provides an in-depth introduction to 29 of the most widely used data sets in social work and the social sciences. Readers will find in-depth information about each data set, how to locate and use the data, what types of questions the data may answer, and the key variables in the data.

Автор: Rhee, Jeong-eun
Название: Transnational Feminist Research
ISBN: 0367222345 ISBN-13(EAN): 9780367222345
Издательство: Taylor&Francis
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Цена: 7501.00 р.
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Описание: In Decolonial Feminist Research, Jeong-eun Rhee embarks on a deeply personal inquiry that is demanded by her dead mother`s haunting rememory and pursues what has become her work/life question: what methodologies are available to notice and study a reality.

Автор: Wetherell M et al
Название: Discourse as Data
ISBN: 0761971580 ISBN-13(EAN): 9780761971580
Издательство: Sage Publications
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Цена: 7285.00 р.
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Описание: Discourse as Data uses a step-by-step approach to introduce the principal range of methods for discourse analysis, and offers the reader practical opportunities to try out analytic concepts on new data. The contributors come from across the social sciences - each an expert in a different core method in discourse analysis.

Автор: Husson, Francois Le, Sebastien Pages, Jerome
Название: Exploratory multivariate analysis by example using r
ISBN: 036765802X ISBN-13(EAN): 9780367658021
Издательство: Taylor&Francis
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Цена: 7654.00 р.
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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: Becue-Bertaut, Monica
Название: Textual Data Science with R
ISBN: 103209365X ISBN-13(EAN): 9781032093659
Издательство: Taylor&Francis
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Описание: Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written package in R. Of interest to anyone from practitioners needing to extract information from texts to students in the field of massive data, where the ability to process textual data is becoming es

Автор: Bartholomew
Название: Analysis of Multivariate Social Science Data
ISBN: 1138464546 ISBN-13(EAN): 9781138464544
Издательство: Taylor&Francis
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Цена: 29858.00 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.

Автор: Wickrama, Kandauda A.s. Lee, Tae Kyoung (university Of Georgia, Usa) O`neal, Catherine Walker (university Of Georgia, Usa) Lorenz, Frederick O.
Название: Higher-order growth curves and mixture modeling with mplus
ISBN: 0367711265 ISBN-13(EAN): 9780367711269
Издательство: Taylor&Francis
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Цена: 8879.00 р.
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Описание: This practical introduction to second-order and growth mixture models using Mplus introduces simple and complex techniques through incremental steps.The authors extend latent growth curves to second-order growth curve and mixture models and then combine the two using normal and non-normal (e.g., categorical) data. To maximize understanding, each model is presented with basic structural equations, figures with associated syntax that highlight what the statistics mean, Mplus applications, and an interpretation of results. Examples from a variety of disciplines demonstrate the use of the models and exercises allow readers to test their understanding of the techniques. A comprehensive introduction to confirmatory factor analysis, latent growth curve modeling, and growth mixture modeling is provided so the book can be used by readers of various skill levels. The book’s datasets are available on the web.New to this edition:* Two new chapters providing a stepwise introduction and practical guide to the application of second-order growth curves and mixture models with categorical outcomes using the Mplus program. Complete with exercises, answer keys, and downloadable data files.* Updated illustrative examples using Mplus 8.0 include conceptual figures, Mplus program syntax, and an interpretation of results to show readers how to carry out the analyses with actual data.This text is ideal for use in graduate courses or workshops on advanced structural equation, multilevel, longitudinal or latent variable modeling, latent growth curve and mixture modeling, factor analysis, multivariate statistics, or advanced quantitative techniques (methods) across the social and behavioral sciences.  

Автор: Byrne, Barbara M.
Название: Structural Equation Modeling with Mplus
ISBN: 1848728395 ISBN-13(EAN): 9781848728394
Издательство: Taylor&Francis
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Автор: Geiser, Christian
Название: Longitudinal Structural Equation Modeling with Mplus
ISBN: 1462538789 ISBN-13(EAN): 9781462538782
Издательство: Taylor&Francis
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Цена: 8726.00 р.
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Описание: An in-depth guide to executing longitudinal confirmatory factor analysis (CFA) and structural equation modeling (SEM) in Mplus, this book uses latent state-trait (LST) theory as a unifying conceptual framework, including the relevant coefficients of consistency, occasion specificity, and reliability.