SIREN: A Hybrid CFA-EFA R Package for Controlling Acquiescence in Restricted Factorial Solutions

Identifier:  imarina:9466771

Handle: https://hdl.handle.net/20.500.11797/imarina9466771

Authors:  Navarro-Gonzalez, David; Ferrando, Pere J; Morales-Vives, Fabia; Hernandez-Dorado, Ana

Abstract:
The siren package implements a two-step procedure that allows restricted matory) factor analytic (FA) solutions to be fitted in data matrices that have been previously 'cleaned' of the biasing effects of acquiescent responding (AR) by using an unrestricted (exploratory) FA specification. So, the procedure which is implemented is hybrid: an unrestricted acquiescence (ACQ) factor is first fitted to the data, (b) the residual (or covariance) matrix after the impact of ACQ has been partialled-out is obtained, (c) a restricted FA solution is fitted to the residual matrix. Although the basic foundations of the procedure are known, it contains new methodological developments that them, implemented in the package. So, provided that fully or partially balanced available, the researcher will be able to: (a) calibrate a multidimensional CFA solution is free from AR, (b) assess the goodness of model-data fit of this solution, and individual score estimates in the content as well as in the ACQ factors. The functioning the program is assessed by means of a simulation study, and illustrated with a toy Its usefulness is also demonstrated by using an illustrative example in the personality main. siren is submitted to be a valuable tool for use in item CFA applications when expected to be operating.