Structural equation modeling

Results: 459



#Item
71Data analysis / Natural language processing / Statistical natural language processing / SAS / Text mining / ADAPA / Text analytics / R / Structural equation modeling / Statistics / Business intelligence / 4GL

FinalColor-SGF2015-Art-01

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Source URL: support.sas.com

Language: English - Date: 2015-03-10 13:18:02
72Regression analysis / Graphical models / Structural equation models / Stata / Structural equation modeling / Factor analysis / Path analysis / Confirmatory factor analysis / Latent variable / Statistics / Psychometrics / Multivariate statistics

Preface What is assumed? There are two ways of learning about structural equation modeling (SEM). The one I have chosen for this book is best described by an old advertising tag for a sport shoe company: “Just do it”

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Source URL: www.stata-press.com

Language: English - Date: 2013-08-14 10:05:28
73Econometrics / Statistical methods / Structural equation models / Factor analysis / Structural equation modeling / Analysis / Data analysis / Confirmatory factor analysis / Latent variable / Statistics / Multivariate statistics / Psychometrics

“Quaderni di Ricerca in Didattica (Mathematics)”, n° 20 suppl1 2010 G.R.I.M. (Department of Mathematics, University of Palermo, Italy) A.S.I. 5 Proceedings 5-7- November 2010 Examining primary school students’ ope

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Source URL: math.unipa.it

Language: English - Date: 2011-06-11 01:23:24
74Education reform / Homework / Standards-based education / Usability / E-learning / Structural equation modeling / Education / Statistics / Learning

Microsoft Word - A Structural Equation Model of Homework Assignment Web Site Usage.doc

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Source URL: linc.mit.edu

Language: English - Date: 2014-07-24 17:07:11
75Psychometrics / Graphical models / Structural equation models / Structural equation modeling / Factor analysis / Path analysis / Variance / Confirmatory factor analysis / Normal distribution / Statistics / Regression analysis / Multivariate statistics

Subject index Symbols #delimit command . . . . . . . . . . . . . . . 289 A alpha . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 alpha command . . . . . . . . . . . . . . . . . . . . . 7

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Source URL: www.stata-press.com

Language: English - Date: 2013-08-14 10:05:28
76Medical physics / Psychometrics / Econometrics / Statistical methods / Functional magnetic resonance imaging / Magnetic resonance imaging / Latent variable / Structural equation modeling / Regression analysis / Statistics / Medicine / Neuroimaging

ENARSPRING MEETING With IMS & Sections of ASA

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Source URL: www.enar.org

Language: English - Date: 2015-03-09 08:27:24
77Estimation theory / Akaike information criterion / Psychometrics / Expectation–maximization algorithm / Bootstrapping / Structural equation modeling / Bayesian information criterion / Statistics / Statistical inference / Model selection

CHAPTER 6. MODEL AND MODEL SUMMARY OUTPUT CHAPTER 6. MODEL AND MODEL SUMMARY OUTPUT Following estimation of a model, various output file listings and graphical displays are produced. The specific output produced is con

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Source URL: www.statisticalinnovations.com

Language: English - Date: 2009-05-18 08:48:12
78Regression analysis / Multivariate statistics / Data analysis / Vector autoregression / Structural equation modeling / Variance / Matrix / Autoregressive conditional heteroskedasticity / Covariance / Statistics / Econometrics / Time series analysis

VAR, SVAR and SVEC Models: Implementation Within R Package vars Bernhard Pfaff Kronberg im Taunus Abstract

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Source URL: www.pfaffikus.de

Language: English - Date: 2013-06-10 15:44:52
79Macroeconomics / Multivariate statistics / Multiplier / Structural equation modeling / Statistics / Econometrics / Regression analysis

DOC Document

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Source URL: www.swlearning.com

Language: English - Date: 2003-07-01 07:33:15
80Graphical models / Statistical models / Conditionals / Causality / Instrumental variable / Randomized controlled trial / Structural equation modeling / Inductive reasoning / Spurious relationship / Statistics / Econometrics / Regression analysis

Where’s the Rigor When You Need It? Nancy Cartwright UCSD and Durham I was charged with the question: When it comes to causality, ‘What do social scientists know?’--and, presumably, ‘How do they know it?’ In ex

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Source URL: community.dur.ac.uk

Language: English - Date: 2015-05-05 08:26:22
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