The Scientific Use of Factor Analysis in Behavioral and Life Sciences

By R. Cattell. 2012

1,071 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/3dbdb140b0a882b6859977da8234212f5584b347

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Experimental and Cognitive Psychology

Citations in the corpus

Applying Bifactor Statistical Indices in the Evaluation of Psychological Measures (2016, background): “This is unfortunate because the artificial inflation of subscale reliability estimates, or “cheating by repeating,” as we characterize it, could lead to what Cattell (1978) termed “bloated specifics”—(arti) factors caused by repeating the same question over and over.”
Principal component analysis: a review and recent developments (2016, methodology): “A number of such criteria have been suggested, including some that include non-orthogonal (oblique) rotation [26].”
USING Q METHODOLOGY AND Q FACTOR ANALYSIS IN MIXED METHODS RESEARCH (2010, methodology): “Both Q methodology (McKeown, 2001; Ward, 1963) and Q factor analysis (Burt, 1941; Cattell, 1978) represent approaches for grouping people based on their typologies (profiles).”
Assessing the Ability to Recognize Facial and Vocal Expressions of Emotion: Construction and Validation of the Emotion Recognition Index (2011, background): “This issue is closely related to the problem of ''bloated specific'' described early on by Cattell (1978).”
Mixed Research as a Tool for Developing Quantitative Instruments (2010, background): “…such as those recommended by researchers who espouse the importance of an adequate case-to-variable ratio from 5 participants per item on the quantitative instrument (e.g., Likert-format scale, rating scale) as the bare minimum to at least 10 participants per item (Cattell, 1978; Everitt, 1975).”
Health Anxiety: Latent Structure and Associations with Anxiety-related Psychological Processes in a Student Sample (2010, background): “Determining the true latent structure of this measure is of particular importance, as the underlying dimensions revealed by factor analysis may correspond to distinct mechanisms (Cattell 1978).”
Assessing students’ experiences of teaching–learning environments and approaches to learning: Validation of a questionnaire in different countries and varying contexts (2013, methodology): “Furthermore, the ESEM was complemented with a transformation analysis (Ahmavaara and Markkanen 1958; Cattell 1978; Rummel 1970) to compare the equality of the factor structures in the Finnish and the British data.”
Structured Latent Factor Analysis for Large-scale Data: Identifiability, Estimability, and Their Implications (2017, background): “This result explains the reason why the “simple structure” design is popular in psychological measurement (Cattell, 2012).”
Using a research instrument for developing quality at the university (2012, methodology): “of the factor structures’ invariances using transformation analysis (Ahmavaara & Markkanen, 1958; Rummel, 1970; Cattell, 1978).”
Sample size used to validate a scale: a review of publications on newly-developed patient reported outcomes measures (2014, neutral): “Recommendations range from 2 to 20 subjects per item [27,28], with an absolute minimum of 100 to 250 subjects [29-31].”
Significance tests as sorcery: Science is empirical—significance tests are not (2012, background): “Because of this (and because of a reviewer for another journal making just this argument), the author would like to point out that this claim is patently false (see Cattell, 1978).”