Component Analysis versus Common Factor Analysis: Some Further Observations.

Component Analysis versus Common Factor Analysis: Some Further Observations Wayne F. Velicer & Douglas N. Jackson To cite this article: Wayne F. Velicer & Douglas N. Jackson (1990) Component Analysis versus Common Factor Analysis: Some Further Observations, Multivariate Behavioral Research, 25:1, 97-114, DOI: 10.1207/s15327906mbr2501_12 To link to this article: http://dx.doi.org/10.1207/s15327906mbr2501_12

[1]  W F Velicer,et al.  An Empirical Comparison of Factor, Image, Component, and Scale Scores. , 1992, Multivariate behavioral research.

[2]  K. Widaman.  Bias in Pattern Loadings Represented by Common Factor Analysis and Component Analysis. , 1990, Multivariate behavioral research.

[3]  J J McArdle,et al.  Principles versus Principals of Structural Factor Analyses. , 1990, Multivariate behavioral research.

[4]  J. H. Steiger,et al.  Some Additional Thoughts on Components, Factors, and Factor Indeterminancy. , 1990, Multivariate behavioral research.

[5]  S A Mulaik,et al.  Blurring the Distinctions Between Component Analysis and Common Factor Analysis. , 1990, Multivariate behavioral research.

[6]  W W Rozeboom.  Whatever Happened to Broad Perspective? , 1990, Multivariate behavioral research.

[7]  F L Bookstein.  Least Squares and Latent Variables. , 1990, Multivariate behavioral research.

[8]  Y Kano,et al.  On the Equivalence of Factors and Components. , 1990, Multivariate behavioral research.

[9]  R. Gorsuch.  Common Factor Analysis versus Component Analysis: Some Well and Little Known Facts. , 1990, Multivariate behavioral research.

[10]  P. Schonemann.  Facts, Fictions, and Common Sense About Factors and Components. , 1990, Multivariate behavioral research.

[11]  W F Velicer,et al.  Component Analysis versus Common Factor Analysis: Some issues in Selecting an Appropriate Procedure. , 1990, Multivariate behavioral research.

[12]  J C Loehlin,et al.  Component Analysis versus Common Factor Analysis: A Case of Disputed Authorship. , 1990, Multivariate behavioral research.

[13]  P M Bentler,et al.  Choice of structural model via parsimony: a rationale based on precision. , 1989, Psychological bulletin.

[14]  R. Gorsuch,et al.  Component analysis versus common factor analysis: A Monte Carlo study. , 1989 .

[15]  G J Lautenschlager,et al.  A Comparison of Alternatives to Conducting Monte Carlo Analyses for Determining Parallel Analysis Criteria. , 1989, Multivariate behavioral research.

[16]  Gary J. Lautenschlager,et al.  Computer Program Exchange , 1989 .

[17]  Charles E. Lance,et al.  Parallel Analysis Criteria: Revised Equations for Estimating the Latent Roots of Random Data Correlation Matrices , 1989 .

[18]  R. Hubbard,et al.  Differences in Empirical Results Using Principal Components and Factor Analysis: , 1989 .

[19]  S. Mulaik,et al.  EVALUATION OF GOODNESS-OF-FIT INDICES FOR STRUCTURAL EQUATION MODELS , 1989 .

[20]  E. Borgatta.  A Note on Using Factor Analysis and other Procedures in Research: , 1989 .

[21]  R S Longman,et al.  A Regression Equation for the Parallel Analysis Criterion in Principal Components Analysis: Mean and 95th Percentile Eigenvalues. , 1989, Multivariate behavioral research.

[22]  R. P. McDonald,et al.  Goodness-of-fit indexes in confirmatory factor analysis : The effect of sample size , 1988 .

[23]  Norman Cliff,et al.  The eigenvalues-greater-than-one rule and the reliability of components. , 1988 .

[24]  Roger E. Millsap,et al.  Component analysis in cross-sectional and longitudinal data , 1988 .

[25]  Raymond Hubbard,et al.  A Cautionary Note on the Use of Principal Components Analysis , 1987 .

[26]  William R. Dillon,et al.  Offending Estimates in Covariance Structure Analysis: Comments on the Causes of and Solutions to Heywood Cases , 1987 .

[27]  Edgar F. Borgatta,et al.  A Cautionary Note on the Use of Principal Components Analysis , 1986 .

[28]  S J Allen,et al.  Notes and Commentary: Regression Equations for the Latent Roots of Random Data Correlation Matrices with Unities on the Diagonal. , 1986, Multivariate behavioral research.

[29]  W. Velicer,et al.  Comparison of five rules for determining the number of components to retain. , 1986 .

[30]  Roger E. Millsap,et al.  On component analyses , 1985 .

[31]  James C. Anderson,et al.  The Effects of Sampling Error and Model Characteristics on Parameter Estimation for Maximum Likelihood Confirmatory Factor Analysis. , 1985, Multivariate behavioral research.

[32]  James C. Anderson,et al.  The effect of sampling error on convergence, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor analysis , 1984 .

[33]  W F Velicer,et al.  Factors Influencing Four Rules For Determining The Number Of Components To Retain. , 1982, Multivariate behavioral research.

[34]  R B Cattell,et al.  The Behavior Of Number-Of-Factors Rules With Simulated Data. , 1982, Multivariate behavioral research.

[35]  D. Bartholomew.  Posterior analysis of the factor model , 1981 .

[36]  Douglas N. Jackson,et al.  Maximum-likelihood estimation in common factor analysis: A cautionary note , 1980 .

[37]  D. Jackson,et al.  Maximum-likelihood estimation in common factor analysis: A cautionary note. , 1980 .

[38]  D. Jackson,et al.  Basic Structure Content Scaling , 1979 .

[39]  Peter M. Bentler,et al.  A statistical development of three-mode factor analysis , 1979 .

[40]  James S. Williams.  A definition for the common-factor analysis model and the elimination of problems of factor score indeterminacy , 1978 .

[41]  O. P. V. Driel,et al.  On various causes of improper solutions in maximum likelihood factor analysis , 1978 .

[42]  W F Velicer,et al.  An Empirical Comparison Of The Similarity Of Principal Component, Image, And Factor Patterns. , 1977, Multivariate behavioral research.

[43]  W. Velicer.  Determining the number of components from the matrix of partial correlations , 1976 .

[44]  Wayne F. Velicer,et al.  The Relation Between Factor Score Estimates, Image Scores, and Principal Component Scores , 1976 .

[45]  David J. Krus,et al.  Interpretation of canonical analysis: Rotated vs. unrotated solutions , 1976 .

[46]  P M Bentler,et al.  Multistructure Statistical Model Applied To Factor Analysis. , 1976, Multivariate behavioral research.

[47]  D N Jackson,et al.  MULTIMETHOD FACTOR ANALYSIS: A REFORMULATION. , 1975, Multivariate behavioral research.

[48]  D. Jackson,et al.  Occupational Classification in Terms of Interest Patterns. , 1975 .

[49]  D. Jackson,et al.  Alcoholic personality types: identification and correlates. , 1974, Journal of abnormal psychology.

[50]  Wayne F. Velicer,et al.  A Comparison of the Stability of Factor Analysis, Principal Component Analysis, and Rescaled Image Analysis , 1974 .

[51]  Richard Staelin,et al.  Improving the metric quality of questionnaire data , 1973 .

[52]  Robert A. Peterson,et al.  On the Interpretation of Canonical Analysis , 1972 .

[53]  K. Jöreskog.  Some contributions to maximum likelihood factor analysis , 1967 .

[54]  Resolution of the heywood case in the minres solution , 1966 .

[55]  L. Tucker,et al.  Some mathematical notes on three-mode factor analysis , 1966, Psychometrika.

[56]  J. Horn.  A rationale and test for the number of factors in factor analysis , 1965, Psychometrika.

[57]  William Meredith,et al.  Notes on factorial invariance , 1964 .

[58]  James Ivey. Clogston.  The use of factor analysis in research , 1964 .

[59]  Chester W. Harris,et al.  Some rao-guttman relationships , 1962 .

[60]  H. Kaiser.  The Application of Electronic Computers to Factor Analysis , 1960 .

[61]  Louis Guttman,et al.  To what extent can communalities reduce rank? , 1958 .

[62]  Herman Rubin,et al.  Statistical Inference in Factor Analysis , 1956 .

[63]  Calyampudi R. Rao.  Estimation and tests of significance in factor analysis , 1955 .

[64]  Louis Guttman,et al.  Image theory for the structure of quantitative variates , 1953 .

[65]  George R. Burket,et al.  A study of reduced rank models for multiple prediction , 1943 .

[66]  D. Lawley.  VI.—The Estimation of Factor Loadings by the Method of Maximum Likelihood , 1940 .

[67]  C. Eckart,et al.  The approximation of one matrix by another of lower rank , 1936 .