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@book{brown2015,
address = {New York ; London},
edition = {Second edition},
series = {Methodology in the social sciences},
title = {Confirmatory Factor Analysis for Applied Research},
isbn = {978-1-4625-1779-4 978-1-4625-1536-3},
lccn = {BF39.2.F32 B76 2015},
abstract = {"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"--},
language = {en},
publisher = {{The Guilford Press}},
author = {Brown, Timothy A.},
year = {2015},
keywords = {BUSINESS \& ECONOMICS / Statistics,EDUCATION / Statistics,Factor analysis,MEDICAL / Nursing / Research \& Theory,PSYCHOLOGY / Statistics,SOCIAL SCIENCE / Statistics},
file = {/home/brian/Zotero/storage/PHCJYBQS/Brown - 2015 - Confirmatory factor analysis for applied research.pdf},
note = {10541}
}
@book{beaujean2014,
address = {New York},
title = {Latent Variable Modeling Using {{R}}: A Step by Step Guide},
isbn = {978-1-84872-699-4 978-1-84872-698-7},
lccn = {QA278.6 .B43 2014},
shorttitle = {Latent Variable Modeling Using {{R}}},
language = {en},
publisher = {{Routledge/Taylor \& Francis Group}},
author = {Beaujean, A. Alexander},
year = {2014},
keywords = {Latent structure analysis,Latent variables,R (Computer program language)},
file = {/home/brian/Zotero/storage/YVGPEGJV/Beaujean - 2014 - Latent variable modeling using R a step by step g.pdf},
note = {00126
OCLC: ocn868199963}
}
@book{keith2015a,
address = {New York ; London},
edition = {2nd edition},
title = {Multiple Regression and beyond: An Introduction to Multiple Regression and Structural Equation Modeling},
isbn = {978-1-138-81194-2 978-1-138-81195-9},
lccn = {HA31.3 .K45 2015},
shorttitle = {Multiple Regression and Beyond},
language = {en},
publisher = {{Routledge, Taylor \& Francis Group}},
author = {Keith, Timothy Z.},
year = {2015},
keywords = {Regression analysis},
file = {/home/brian/Zotero/storage/BIEBEHLB/Keith - 2015 - Multiple regression and beyond an introduction to.pdf},
note = {OCLC: ocn904240733}
}
@article{holzinger1939,
title = {A Study in Factor Analysis: {{The}} Stability of a Bifactor Solution},
volume = {48},
journal = {Supplementary Educational Monograph},
author = {Holzinger, K. and Swineford, F.},
year = {1939},
note = {00000}
}