Robust Promin: a method for diagonally weighted factor rotation

Oblique rotation of factors is usually performed in exploratory factor analysis in order to achieve the best and simplest interpretation of the solution based on the prescribed number of factors. Currently available algorithms, however, do not take into account the fluctuation of the correlations on...

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Main Authors: Urbano Lorenzo-Seva, Pere J. Ferrando
Format: Article
Language:English
Published: Universidad de San Martín de Porres 2019-06-01
Series:Liberabit
Subjects:
Online Access:http://www.revistaliberabit.com/index.php/Liberabit/article/view/236
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author Urbano Lorenzo-Seva
Pere J. Ferrando
author_facet Urbano Lorenzo-Seva
Pere J. Ferrando
author_sort Urbano Lorenzo-Seva
collection DOAJ
description Oblique rotation of factors is usually performed in exploratory factor analysis in order to achieve the best and simplest interpretation of the solution based on the prescribed number of factors. Currently available algorithms, however, do not take into account the fluctuation of the correlations on which the factor solution is based. If such correlations’ stability is low, the rotated solution obtained in a specific sample may substantially differ from the rotated solutions obtained in different samples from the same population. The present paper proposes a modified version of the Promin rotation designed to achieve simple and stable rotated solutions through the samples. The usefulness of Robust Promin is illustrated by using an empirical example based on a real dataset. The procedure proposed in this paper has been implemented in the FACTOR factor analysis program version 10.9.
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spelling doaj.art-e0b2a0e7d00e4083bcd32945bfe069462023-04-25T15:18:40ZengUniversidad de San Martín de PorresLiberabit1729-48272223-76662019-06-012519910610.24265/liberabit.2019.v25n1.08236Robust Promin: a method for diagonally weighted factor rotationUrbano Lorenzo-Seva0Pere J. Ferrando1Department of Psychology, Universitat Rovira i Virgili , SpainDepartment of Psychology, Universitat Rovira i Virgili , SpainOblique rotation of factors is usually performed in exploratory factor analysis in order to achieve the best and simplest interpretation of the solution based on the prescribed number of factors. Currently available algorithms, however, do not take into account the fluctuation of the correlations on which the factor solution is based. If such correlations’ stability is low, the rotated solution obtained in a specific sample may substantially differ from the rotated solutions obtained in different samples from the same population. The present paper proposes a modified version of the Promin rotation designed to achieve simple and stable rotated solutions through the samples. The usefulness of Robust Promin is illustrated by using an empirical example based on a real dataset. The procedure proposed in this paper has been implemented in the FACTOR factor analysis program version 10.9.http://www.revistaliberabit.com/index.php/Liberabit/article/view/236oblique rotationrobust factor analysisexploratory factor analysisunrestricted factor analysis
spellingShingle Urbano Lorenzo-Seva
Pere J. Ferrando
Robust Promin: a method for diagonally weighted factor rotation
Liberabit
oblique rotation
robust factor analysis
exploratory factor analysis
unrestricted factor analysis
title Robust Promin: a method for diagonally weighted factor rotation
title_full Robust Promin: a method for diagonally weighted factor rotation
title_fullStr Robust Promin: a method for diagonally weighted factor rotation
title_full_unstemmed Robust Promin: a method for diagonally weighted factor rotation
title_short Robust Promin: a method for diagonally weighted factor rotation
title_sort robust promin a method for diagonally weighted factor rotation
topic oblique rotation
robust factor analysis
exploratory factor analysis
unrestricted factor analysis
url http://www.revistaliberabit.com/index.php/Liberabit/article/view/236
work_keys_str_mv AT urbanolorenzoseva robustprominamethodfordiagonallyweightedfactorrotation
AT perejferrando robustprominamethodfordiagonallyweightedfactorrotation