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Structural equation models
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1	Chapter 11 Unified Visualizations of Structural Equation Models Add to Reading List Source URL: sachaepskamp.com Language: English - Date: 2017-03-08 07:44:39
2	Using R and the psych package to find ω William Revelle Department of Psychology Northwestern University May 14, 2016 Add to Reading List Source URL: personality-project.org Language: English - Date: 2016-05-14 13:07:20 Statistics Software Data analysis Factor analysis Multivariate statistics Psychometrics Structural equation models William Revelle Confirmatory factor analysis Structural equation modeling R Exploratory factor analysis
3	liiketalouden aikakauski.xls Add to Reading List Source URL: njb.fi Language: English - Date: 2015-05-05 06:10:44 Statistics Structural equation models Economy Management Business Strategy Marketing Strategic management Confirmatory factor analysis Market orientation Structural equation modeling
4	Exploring the measurement profiles of socioeconomic background indicators and their differences in reading achievement: A two-level latent class analysis Kajsa Yang Hansen and Ingrid Munck Add to Reading List Source URL: ierinstitute.org Language: English - Date: 2012-09-07 05:53:57 Statistics Psychometrics Statistical models Categorical data Structural equation models Econometric modeling Latent class model Socioeconomic status Latent variable Intelligence quotient Structural equation modeling Latent variable model
5	references References Afshartous, DDetermination of sample size for multilevel model design. In V. S. Williams, L. V. Jones, & I. Olkin (Eds.), Perspectives on statistics for educational research: Proceedings Add to Reading List Source URL: ierinstitute.org Language: English - Date: 2012-09-26 10:10:17 Regression analysis Analysis of variance Statistical methods Econometrics Statistical models Multilevel model Structural equation modeling Trends in International Mathematics and Science Study Mixed model Linear regression Data analysis Statistics
6	Psychology of Religion and Spirituality 2013, Vol. 5, No. 4, 242–251 © 2013 American Psychological Association/$12.00 DOI: a0031694 Add to Reading List Source URL: www.psy.miami.edu Language: English - Date: 2013-11-27 12:13:42 Structural equation models Psychometrics Factor analysis Religiosity Confirmatory factor analysis Structural equation modeling Adolescence Psychology of religion Measurement invariance Multidimensional Measurement of Religiousness/Spirituality for Use in Health Research RCI Exploratory factor analysis
7	Universit` a degli Studi di Napoli Federico II Unobserved Heterogeneity in Structural Equation Models: Add to Reading List Source URL: www.fedoa.unina.it Language: Italian - Date: 2014-04-30 15:32:21
8	PLS Path Modeling with R Gaston Sanchez www.gastonsanchez.com This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported Add to Reading List Source URL: gastonsanchez.com Language: English - Date: 2016-03-06 11:27:50 Statistics Regression analysis Psychometrics Least squares Statistical models Partial least squares regression Structural equation models Latent variable Conceptual model PLS Bootstrapping Partial least squares path modeling
9	Accounting for response behavior heterogeneity in the measurement of attitudes: an application to demand for electric vehicles Aurélie Glerum Michel Bierlaire STRC 2012 Add to Reading List Source URL: www.strc.ch Language: English - Date: 2012-05-16 12:00:18 Psychometrics Statistics Statistical models Psychology Educational psychology Questionnaire construction Educational research Scale Discrete choice Latent variable Structural equation modeling Attitude
10	Estimating Generalizability to a Latent Variable Common to All of a Scale’s Indicators: A Comparison of Estimators for ωh Richard E. Zinbarg, Northwestern University and The Family Institute at Northwestern University Add to Reading List Source URL: personality-project.org Language: English - Date: 2006-08-25 17:19:44 Factor analysis Psychometrics Multivariate statistics Intelligence Structural equation models Confirmatory factor analysis Exploratory factor analysis G factor Principal component analysis Varimax rotation Variance Intelligence quotient