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Sidou, Lais Feltrin; Borges, Endler Marcel – Journal of Chemical Education, 2020
Principal component analysis (PCA) is one of the most important and powerful methods in chemometrics as well as in a wealth of other areas. Running a PCA results in two main elements, the score plot and the loading plot; the score plot provides the location of the samples, and the loading plot indicates correlations among variables, the trends in…
Descriptors: Factor Analysis, Chemistry, Science Instruction, Teaching Methods
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Pritikin, Joshua N.; Hunter, Micheal D.; Boker, Steven M. – Educational and Psychological Measurement, 2015
This article introduces an item factor analysis (IFA) module for "OpenMx," a free, open-source, and modular statistical modeling package that runs within the R programming environment on GNU/Linux, Mac OS X, and Microsoft Windows. The IFA module offers a novel model specification language that is well suited to programmatic generation…
Descriptors: Factor Analysis, Open Source Technology, Models, Structural Equation Models
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Hirschfeld, Gerrit; von Brachel, Ruth – Practical Assessment, Research & Evaluation, 2014
Multiple-group confirmatory factor analysis (MG-CFA) is among the most productive extensions of structural equation modeling. Many researchers conducting cross-cultural or longitudinal studies are interested in testing for measurement and structural invariance. The aim of the present paper is to provide a tutorial in MG-CFA using the freely…
Descriptors: Factor Analysis, Measurement, Computer Software, Open Source Technology
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Beaujean, A. Alexander – Practical Assessment, Research & Evaluation, 2013
"R" (R Development Core Team, 2011) is a very powerful tool to analyze data, that is gaining in popularity due to its costs (its free) and flexibility (its open-source). This article gives a general introduction to using "R" (i.e., loading the program, using functions, importing data). Then, using data from Canivez, Konold,…
Descriptors: Factor Analysis, Data Analysis, Computer Software, Open Source Technology
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Courtney, Matthew Gordon Ray – Practical Assessment, Research & Evaluation, 2013
Exploratory factor analysis (EFA) is a common technique utilized in the development of assessment instruments. The key question when performing this procedure is how to best estimate the number of factors to retain. This is especially important as under- or over-extraction may lead to erroneous conclusions. Although recent advancements have been…
Descriptors: Factor Analysis, Computer Software, Open Source Technology, Computation
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Boker, Steven; Neale, Michael; Maes, Hermine; Wilde, Michael; Spiegel, Michael; Brick, Timothy; Spies, Jeffrey; Estabrook, Ryne; Kenny, Sarah; Bates, Timothy; Mehta, Paras; Fox, John – Psychometrika, 2011
OpenMx is free, full-featured, open source, structural equation modeling (SEM) software. OpenMx runs within the "R" statistical programming environment on Windows, Mac OS-X, and Linux computers. The rationale for developing OpenMx is discussed along with the philosophy behind the user interface. The OpenMx data structures are…
Descriptors: Structural Equation Models, Open Source Technology, Computer Software, Models