Very Simple Structure: An Alternative Procedure For Estimating The Optimal Number Of Interpretable Factors.

By William Revelle, T. Rocklin. 1979

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Citations in the corpus

Interpretable Decision Sets: A Joint Framework for Description and Prediction (2016, background): “Research on interpretable models has a long history [8, 32, 7, 33], but with the availability of ever larger datasets and the adoption of computer-based decision making in all parts of society the need for interpretable machine learning models has only increased.”
Factor Retention Decisions in Exploratory Factor Analysis: a Tutorial on Parallel Analysis (2004, background): “…relative merits and accuracy of various factor retention criteria, typically with simulated data (e.g., Humphreys & Montanelli, 1975; Linn, 1968; Zwick & Velicer, 1986), although a few have used actual sample data (e.g., Carraher & Buckley, 1991, 1995; Lee & Comrey, 1979; Revelle & Rocklin, 1979).”
The Musicality of Non-Musicians: An Index for Assessing Musical Sophistication in the General Population (2014, methodology): “1, parallel analysis on random and resampled datasets of the same size [68–69], Velicer’s Minimum Average Partial (MAP) criterion [70], and Revelle and Rocklin’s Very Simple Structure (VSS) criterion [71] (all analyses were carried out using the R software environment and the R package psych [72]).”
Investigating the performance of Exploratory Graph analysis and traditional techniques to identify the number of latent factors: a simulation and tutorial (2018, methodology): “…Epskamp (2017) studied the accuracy in estimating the number of dimensions of EGA along with six traditional techniques: very simple structure (VSS; Revelle & Rocklin, 1979), minimum average partial (MAP; Velicer, 1976), Bayesian information criterion (BIC), EBIC, K1, and PA with generalized…”
Italian Version of the Acceptance and Action Questionnaire-II (AAQ-II): Dimensionality, Reliability, Convergent and Criterion Validity (2013, methodology): “Indices based on Parallel Analysis (PA) (Dinno 2010; Horn 1965), Very Simple Structure (VSS) (Revelle and Rocklin 1979), and Minimum Average Partial Correlation (Velicer’s MAP) (Velicer 1976) were used to explore the number of dimensions to be extracted.”
Breaking it Down: Engineering Student STEM Confidence at the Intersection of Race/Ethnicity and Gender (2014, methodology): “Principal component structure was determined based on a combination of Velicer’s MAP criteria (Garrido et al. 2011) and the very simple structure (VSS) criteria (Revelle and Rocklin 1979), and items were retained based on examination of item loadings and communalities.”
Determining the Number of Factors to Retain in EFA: Using the SPSS R-Menu v2 0 to Make More Judicious Estimations (2013, methodology): “Revelle and Rocklin (1979) proposed using the very simple structure criterion (VSS) for determining the number of factors to extract.”
Repairing Tom Swift's Electric Factor Analysis Machine (2003, background): “In addition, other researchers have found that the criterion underestimates (Cattell & Vogelmann, 1977; Cliff, 1988; Humphreys, 1964) or overestimates (Browne, 1968; Cattell & Vogelmann, 1977; Horn, 1965; Lee & Comrey, 1979; Linn, 1968; Revelle & Rocklin, 1979; Yeomans & Golder, 1982; Zwick & Veli”
Exploratory graph analysis: A new approach for estimating the number of dimensions in psychological research (2016, methodology): “The simulated data sets were submitted to seven different methods to estimate the number of dimensions (factors): (1) very simple structure (VSS) [12] with complexity 1; (2) minimum average partial procedure (MAP) [9]; (3) the fit of different number of factors, from 1 to 10, via BIC; (4) the fit of”
A premature consensus: are happiness and sadness truly opposite affects? (2006, methodology): “Russell and Carroll (1999a) focused their attention on how measurement characteristics, particularly item formats, modify the observed correlations between mood items (see also Meddis, 1972).”
Scale Development and Construct Clarification of Servant Leadership (2006, background): “Items categorized into 1 of the 11 servant leadership characteristics 60% of the time (7 of 11 judges) were retained (Hinkin & Schriesheim, 1989; Revelle & Rocklin, 1979).”
Survey and behavioral measurements of interpersonal trust (2008, methodology): “The Very Simple Structure (VSS) criterion (Revelle & Rocklin, 1979) identified two factors as the optimal number to extract.”