• Corpus ID: 44616760

A Comparison of Ten Methods for Determining the Number of Factors in Exploratory Factor Analysis

  title={A Comparison of Ten Methods for Determining the Number of Factors in Exploratory Factor Analysis},
  author={Robert Pearson and Daniel J. Mundfrom and Adam Piccone},
Datalogix The effectiveness of 10 methods for estimating the number of factors were compared. These methods were the minimum average partial procedure, the likelihood ratio test, the Akaike information criteria (AIC), the Schwarz information criteria, the common factor and principal component versions of parallel analysis, the standard error scree test, and the eigenvalues greater than average criterion. Two simulation studies were conducted. In the first study, the true number of factors… 

Figures and Tables from this paper

Construct Validity of Clinical Nurse Specialist Core Competency Scale: An Exploratory Factor Analysis.
The results provided construct validity evidence of the underlying theoretical structures of the four competency spheres of patient, nursing, organisation, and scholarship, and suggest a 47-item clinical nurse specialist core competency scale.
Development and psychometric testing of the Chinese version of the Resilience Scale for Southeast Asian immigrant women who divorced in Taiwan
The RS-C is a brief and specific self-report tool for evaluating the resilience of divorced immigrant Southeast Asian women and demonstrated adequate reliability and validity in this study.
The NAQ-R has adequate psychometric properties and can be used to measure workplace bullying among Malaysian junior doctors and has adequate reliability in assessing bullying among a Malaysian sample.
Less is more: 5-item neck disability index to assess chronic neck pain patients in Brazil.
The NDI model with one domain and 5 items presented the most adequate goodness-of-fit indexes and the lowest values of AIC and BIC, when compared with models with one Domain and 10, 8 or 7 items, and with the model with 2 domains and 10 items.
Unidimensional scales for fears of cancer recurrence and their psychometric properties: the FCR4 and FCR7
The internal consistency, and pattern of key associations and discriminability indices provided positive psychometric evidence for these scales.
Psychometric Evaluation of the Chinese Breast Cancer Prevention Trial Symptom Scale
The C-BCPT Symptom Scale can help traditional Chinese-speaking healthcare professionals perform adequate assessments of the symptoms experienced by women with breast cancer and can be used in clinical practice and research to assess Symptoms experienced by this specific population or effects of related interventions.
Four dimensions characterize attributions from faces using a representative set of English trait words
A comprehensive characterization of trait attributions from faces is provided, although it is noted the conclusions are limited by the scope of this study.
Brazilian version of the Neck Bournemouth Questionnaire does not have a well-defined internal structure in patients with chronic neck pain
The internal structure of the Brazilian version of the Neck Bournemouth Questionnaire is not clear and well-defined and it was not possible to identify the construct measured by the instrument in individuals with chronic neck pain.
Conspicuous consumption describes signalling of one’s buying power in order to impress others and secure and/or preserve a favourable place in a social hierarchy. The current study, involving 200


The Behavior Of Number-Of-Factors Rules With Simulated Data.
Overall trends and interactive results, in terms of the independent variables examined, are discussed in detail, and methods are presented for assessing the quality of the number-of-factors indicated by a particular rule.
Exploratory factor analysis: its role in item analysis.
  • R. Gorsuch
  • Psychology
    Journal of personality assessment
  • 1997
The special characteristics of items-low reliability, confounds by minor, unwanted covariance, and the likelihood of a general factor-and better understanding of factor analysis means that the
A Comprehensive Trial Of The Scree And Kg Criteria For Determining The Number Of Factors.
The present experiment extends empirical testing of the scree by taking 15 plasmodes and shows it superior to the Kaiser-Guttman unity root criterion and its capacity to locate the correct number of factors within narrow limits is supported.
Factors Influencing Four Rules For Determining The Number Of Components To Retain.
The performance of four rules for determining the number of components to retain (Kaiser's eigenvalue greater than unity, Cattell's SCREE, Bartlett's test, and Velicer's MAP) was investigated across
Evaluation of Parallel Analysis Methods for Determining the Number of Factors
Population and sample simulation approaches were used to compare the performance of parallel analysis using principal component analysis (PA-PCA) and parallel analysis using principal axis factoring
An Investigation of the Parallel Analysis Criterion for Determining the Number of Common Factors
Then correlation matrices based upon real and random data with squared multiple correlations in the diagonals are factored, the hypothesis is that the point at which the curves of the latent roots
Evaluation of factor analytic research procedures by means of simulated correlation matrices
In order to study the effectiveness of factor analytic methods, a procedure was developed for computing simulated correlation matrices which are more similar to real data correlation matrices than
Note On a Criterion for the Number of Common Factors
LINN (1968) has published the results of a, Monte Carlo approach to the number of factors problem involving the use of random normal deviates as additional variables in correlational matrices from
The Use of Exploratory Factor Analysis and Principal Components Analysis in Communication Research
Exploratory factor analysis is a popular statistical technique used in communication research. Although exploratory factor analysis (EFA) and principal components analysis (PCA) are different
An Improvement on Horn's Parallel Analysis Methodology for Selecting the Correct Number of Factors to Retain
One of the most important decisions that can be made in the use of factor analysis is the number of factors to retain. Numerous studies have consistently shown that Horn's parallel analysis is the