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book (6)


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English (6)


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2015 (6)

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Book
Latent variables and factor analysis.
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ISBN: 9781446294604 1446294609 Year: 2015 Publisher: Los Angeles SAGE

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Book
Factorial survey experiments
Authors: ---
ISSN: 0149192X ISBN: 9781452274188 1452274185 1483398072 1483312895 Year: 2015 Volume: 175 Publisher: Los Angeles (Calif.): Sage,

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"Filling a gap in the literature of the field, this first-of-its-kind book provides researchers with a practical guide to using the factorial survey method to assess respondents' beliefs about the world, judgment principles, or decision rules through multi-dimensional stimuli ("vignettes") that resemble real-life decision-making situations. Using insightful examples to illustrate their arguments, the authors guide researchers through all relevant steps, including how to set up the factorial experimental design (drawing samples of vignettes and respondents), how to handle the practical challenges that must be mastered when an experimental plan with many different treatments is embedded in a survey format, and how to deal with questions of data analysis. In addition to providing the "how-tos" of designing factorial survey experiments, the authors cover recent developments of similar methods, such as conjoint analyses, choice experiments, and more advanced statistical tools."--Publisher's website.


Book
Using Mplus for structural equation modeling : a researcher's guide
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ISBN: 9781452291475 1452291470 1483381668 148335461X 1483313441 9781483354613 9781483313443 9781483381664 Year: 2015 Publisher: Los Angeles (Calif.): Sage,

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Ideal for researchers and graduate students in the social sciences who require knowledge of structural equation modeling techniques to answer substantive research questions, Using Mplus for Structural Equation Modeling provides a reader-friendly introduction to the major types of structural equation models implemented in the Mplus framework. This practical book, which updates author E. Kevin Kelloway's 1998 book Using LISREL for Structural Equation Modeling, retains the successful five-step process employed in the earlier book, with a thorough update for use in the Mplus environment. Kelloway provides an overview of structural equation modeling techniques in Mplus, including the estimation of confirmatory factor analysis and observed variable path analysis. He also covers multilevel modeling for hypothesis testing in real life settings and offers an introduction to the extended capabilities of Mplus, such as exploratory structural equation modeling and estimation and testing of mediated relationships. A sample application with the source code, printout, and results is presented for each type of analysis.


Book
Handbook of structural equation modeling
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ISBN: 9781606230770 9781462516797 Year: 2015 Publisher: New York, N.Y. The Guilford Press

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"This handbook offers comprehensive coverage of structural equation modeling (SEM), beginning with background issues, continuing through statistical underpinnings and steps in implementation, then moving into basic and advanced applications of SEM. In a single volume, it offers virtually complete coverage of SEM and its use"--


Book
Meta-Analytic Structural Equation Modelling
Author:
ISBN: 3319271725 3319271741 Year: 2015 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This book explains how to employ MASEM, the combination of meta-analysis (MA) and structural equation modelling (SEM). It shows how by using MASEM, a single model can be tested to explain the relationships between a set of variables in several studies. This book gives an introduction to MASEM, with a focus on the state of the art approach: the two stage approach of Cheung and Cheung & Chan. Both, the fixed and the random approach to MASEM are illustrated with two applications to real data. All steps that have to be taken to perform the analyses are discussed extensively. All data and syntax files are available online, so that readers can imitate all analyses. By using SEM for meta-analysis, this book shows how to benefit from all available information from all available studies, even if few or none of the studies report about all relationships that feature in the full model of interest.


Book
Structural Equation Models : From Paths to Networks
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ISBN: 9783319165073 3319165062 9783319165066 3319165070 Year: 2015 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This compact reference surveys the full range of available structural equation modeling (SEM) methodologies.  It reviews applications in a broad range of disciplines, particularly in the social sciences where many key concepts are not directly observable.  This is the first book to present SEM’s development in its proper historical context–essential to understanding the application, strengths and weaknesses of each particular method.  This book also surveys the emerging path and network approaches that complement and enhance SEM, and that will grow in importance in the near future.  SEM’s ability to accommodate unobservable theory constructs through latent variables is of significant importance to social scientists.  Latent variable theory and application are comprehensively explained, and methods are presented for extending their power, including guidelines for data preparation, sample size calculation, and the special treatment of Likert scale data.  Tables of software, methodologies and fit statistics provide a concise reference for any research program, helping assure that its conclusions are defensible and publishable.

Keywords

Engineering. --- Computational Intelligence. --- Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. --- Complex Networks. --- Innovation/Technology Management. --- Psychometrics. --- Geoengineering, Foundations, Hydraulics. --- Statistics. --- Hydraulic engineering. --- Ingénierie --- Statistique --- Technologie hydraulique --- Psychométrie --- Engineering & Applied Sciences --- Computer Science --- Structural equation modeling. --- SEM (Structural equation modeling) --- Management. --- Industrial management. --- Physics. --- Computational intelligence. --- Engineering geology. --- Engineering --- Foundations. --- Hydraulics. --- Geology. --- Statistics for Social Science, Behavioral Science, Education, Public Policy, and Law. --- Measurement, Mental --- Measurement, Psychological --- Psychological measurement --- Psychological scaling --- Psychological statistics --- Psychology --- Psychometry (Psychophysics) --- Scaling, Psychological --- Psychological tests --- Scaling (Social sciences) --- Flow of water --- Water --- Fluid mechanics --- Hydraulic engineering --- Jets --- Architecture --- Building --- Structural engineering --- Underground construction --- Caissons --- Earthwork --- Masonry --- Soil consolidation --- Soil mechanics --- Walls --- Civil engineering --- Geology, Economic --- Intelligence, Computational --- Artificial intelligence --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Business administration --- Business enterprises --- Business management --- Corporate management --- Corporations --- Industrial administration --- Management, Industrial --- Rationalization of industry --- Scientific management --- Management --- Business --- Industrial organization --- Administration --- Industrial relations --- Organization --- Construction --- Industrial arts --- Technology --- Measurement --- Scaling --- Methodology --- Flow --- Distribution --- Details --- Geology --- Soft computing --- Multivariate analysis --- Factor analysis --- Regression analysis --- Path analysis (Statistics) --- Statistics for Social Sciences, Humanities, Law. --- Applications of Graph Theory and Complex Networks. --- Engineering, Hydraulic --- Hydraulics --- Shore protection --- Statistics . --- Engineering—Geology.

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