In Search of Underlying Dimensions: The Use (and Abuse) of Factor Analysis in Personality and Social Psychology Bulletin

By Daniel W. Russell. 2002

1,005 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research, Social Psychology

View Paper: https://www.semanticscholar.org/paper/3584405046455c70ba9e510fbf5a2835f3a8c838

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Citations in the corpus

Dimensionality of interpersonal curiosity (2007, methodology): “Because v(2) values can become inflated with large samples (Raykov, 1998; Russell, 2002), models with v(2) to df ratio <2.”
Compensatory health beliefs: scale development and psychometric properties (2004, background): “PFA more realistically estimates factor loadings and factor correlations than PCA because it recognizes the existence of random error in the measured variables and therefore less likely results in inflated factor loadings and an underestimation of factor correlations (Fabrigar et al., 1999; Russell,”
The COPE inventory: Dimensionality and relationships with approach- and avoidance-motives and positive and negative traits. (2006, background): “Four main criteria were considered in determining the number of factors to extract: The scree test; parallel analysis of the eigenvalues; the amount of common variance explained by the factors; and the meaningfulness of the rotated factors (Russell, 2002).”
Entrepreneurial behaviour in the Greek public sector (2007, background): “In oblique rotation, the constraint that extracted factors will be uncorrelated, which is the case in varimax rotation, is relaxed ( Russell, 2002”
Understanding the Relative Contributions of Lower‐Level Word Processes, Higher‐Level Processes, and Working Memory to Reading Comprehension Performance in Proficient Adult Readers (2012, positive): “For the AGFI and GFI, the guideline is that good-fitting models have values of ≥0.90; for the CFI, the value was set to ≥0.95 (Russell, 2002).”
The structure of environmental attitudes: A first- and second-order confirmatory factor analysis (2004, methodology): “Following previous recommendations (Fabrigar, MacCallum, Wegener, & Strahan, 1999; Russell, 2002), Exploratory Principal Axis Factoring (PAF) analyses with subsequent oblique rotation (promax rotation with Kaiser normalization) were performed, forcing all 99 items to a two-factor solution.2 Two…”
Investigating Validity Evidence of the Satisfaction with Life Scale Adapted for Children (2010, background): “Russell 2002 ) also identified 1 factor (the second random factor had an eigenvalue of 1.05, which is larger than the second eigenvalue in our dataset of 0.48).”
The Development and Validation of the Game User Experience Satisfaction Scale (GUESS) (2016, methodology): “Third, standard errors of parameter estimates would be underestimated (Benson & Fleishman, 1994; Brown, 2014; Finney & DiStefano, 2013; Russell, 2002).”
Intrinsic need satisfaction and the job attitudes of volunteers versus employees working in a charitable volunteer organization (2009, methodology): “…be able to compare results for the volunteer sample with the sample of paid employees (see Table 3) in examining Hypothesis 4, we used the same clusters of items to calculate scale scores for paid employees (sample size (see Russell, 2002) did not permit conﬁrmatory factor analysis on this sample).”
Simulation Study on Fit Indexes in CFA Based on Data With Slightly Distorted Simple Structure (2005, methodology): “Russell (2002) gave an overview on the fit indexes used in studies of the Personality and Social Psychology Bulletin.”
Identification With All Humanity: The role of self‐definition and self‐investment (2015, background): “factor loading results than the latter (Russell, 2002; Widaman, 1993).”