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Volumn 70, Issue 6, 2010, Pages 885-901

Evaluation of parallel analysis methods for determining the number of factors

Author keywords

factor analysis; number of factors; parallel analysis

Indexed keywords


EID: 77957942372     PISSN: 00131644     EISSN: 15523888     Source Type: Journal    
DOI: 10.1177/0013164410379332     Document Type: Article
Times cited : (167)

References (27)
  • 1
    • 0011083581 scopus 로고    scopus 로고
    • Problem with parallel analysis in data sets with oblique simple structure
    • Beauducel, A. (2001). Problem with parallel analysis in data sets with oblique simple structure. Methods of Psychological Research Online, 6, 141-157.
    • (2001) Methods of Psychological Research Online , vol.6 , pp. 141-157
    • Beauducel, A.1
  • 4
    • 0001500980 scopus 로고
    • The eigenvalues-greater-than-one rule and the reliability of components
    • Cliff, N. (1988). The eigenvalues-greater-than-one rule and the reliability of components. Psychological Bulletin, 103, 276-279.
    • (1988) Psychological Bulletin , vol.103 , pp. 276-279
    • Cliff, N.1
  • 6
    • 78650497409 scopus 로고    scopus 로고
    • Evaluation of parallel analysis methods for determining the number of factors
    • (April). Paper presented at the annual meeting of the American Educational Research Association, San Diego, CA
    • Crawford, A., Green, S.B., Levy, R., Lo, W.-J., Scott, L., Svetina, D., & Thompson, M.S. (2009, April). Evaluation of parallel analysis methods for determining the number of factors. Paper presented at the annual meeting of the American Educational Research Association, San Diego, CA.
    • (2009)
    • Crawford, A.1    Green, S.B.2    Levy, R.3    Lo, W.-J.4    Scott, L.5    Svetina, D.6    Thompson, M.S.7
  • 8
    • 0029134625 scopus 로고
    • Factor analysis in the development and refinement of clinical assessment instruments
    • Floyd, F.J., & Widaman, K.F. (1995). Factor analysis in the development and refinement of clinical assessment instruments. Psychological Assessment, 7, 286-299.
    • (1995) Psychological Assessment , vol.7 , pp. 286-299
    • Floyd, F.J.1    Widaman, K.F.2
  • 9
    • 85021394779 scopus 로고
    • The applications of exploratory factor analysis in applied psychology: A critical review and analysis
    • Ford, J.K., MacCallum, R.C., & Tait, M. (1986). The applications of exploratory factor analysis in applied psychology: A critical review and analysis. Personnel Psychology, 39, 291-314.
    • (1986) Personnel Psychology , vol.39 , pp. 291-314
    • Ford, J.K.1    MacCallum, R.C.2    Tait, M.3
  • 10
    • 84973751080 scopus 로고
    • An improvement on Horn's parallel analysis methodology for selecting the correct number of factors to retain
    • Glorfeld, L.W. (1995). An improvement on Horn's parallel analysis methodology for selecting the correct number of factors to retain. Educational and Psychological Measurement, 55, 377-393.
    • (1995) Educational and Psychological Measurement , vol.55 , pp. 377-393
    • Glorfeld, L.W.1
  • 11
    • 34248982435 scopus 로고
    • Some necessary conditions for common factor analysis
    • Guttman, L. (1954). Some necessary conditions for common factor analysis. Psychometrika, 19, 149-161.
    • (1954) Psychometrika , vol.19 , pp. 149-161
    • Guttman, L.1
  • 12
    • 2342495760 scopus 로고    scopus 로고
    • Factor retention decisions in exploratory factor analysis: A tutorial on parallel analysis
    • Hayton, J.C., Allen, D.G., & Scarpello, V. (2004). Factor retention decisions in exploratory factor analysis: A tutorial on parallel analysis. Organizational Research Methods, 7, 191-205.
    • (2004) Organizational Research Methods , vol.7 , pp. 191-205
    • Hayton, J.C.1    Allen, D.G.2    Scarpello, V.3
  • 13
    • 8644267207 scopus 로고
    • A rationale and test for the number of factors in factor analysis
    • Horn, J.L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30, 179-185.
    • (1965) Psychometrika , vol.30 , pp. 179-185
    • Horn, J.L.1
  • 14
    • 41849147090 scopus 로고
    • An investigation of the parallel analysis criterion for determining the number of common factors
    • Humphreys, L.G., & Montanelli, R.G. (1975). An investigation of the parallel analysis criterion for determining the number of common factors. Multivariate Behavioral Research, 10, 193-206.
    • (1975) Multivariate Behavioral Research , vol.10 , pp. 193-206
    • Humphreys, L.G.1    Montanelli, R.G.2
  • 15
    • 84976998771 scopus 로고
    • The application of electronic computers to factor analysis
    • Kaiser, H.F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20, 141-151.
    • (1960) Educational and Psychological Measurement , vol.20 , pp. 141-151
    • Kaiser, H.F.1
  • 17
    • 0034242321 scopus 로고    scopus 로고
    • SPSS and SAS programs for determining the number of components using parallel analysis and Velicer's MAP test
    • O'Connor, B.P. (2000). SPSS and SAS programs for determining the number of components using parallel analysis and Velicer's MAP test. Behavior Research Methods, Instruments, & Computers, 32, 396-402.
    • (2000) Behavior Research Methods, Instruments, & Computers , vol.32 , pp. 396-402
    • O'Connor, B.P.1
  • 18
    • 0142168273 scopus 로고    scopus 로고
    • Repairing Tom Swift's electric factor analysis machine
    • Preacher, K.J., & MacCallum, R.C. (2003). Repairing Tom Swift's electric factor analysis machine. Understanding Statistics, 2, 13-43.
    • (2003) Understanding Statistics , vol.2 , pp. 13-43
    • Preacher, K.J.1    MacCallum, R.C.2
  • 20
    • 84921383576 scopus 로고
    • Some theory and applications of confirmatory second-order factor analysis
    • Rindskopf, D., & Rose, T. (1988). Some theory and applications of confirmatory second-order factor analysis. Multivariate Behavioral Research, 23, 51-67.
    • (1988) Multivariate Behavioral Research , vol.23 , pp. 51-67
    • Rindskopf, D.1    Rose, T.2
  • 21
    • 0001716291 scopus 로고
    • Component analysis versus common factor analysis: A Monte Carlo study
    • Snook, S.C., & Gorsuch, R.L. (1989). Component analysis versus common factor analysis: A Monte Carlo study. Psychological Bulletin, 106, 148-154.
    • (1989) Psychological Bulletin , vol.106 , pp. 148-154
    • Snook, S.C.1    Gorsuch, R.L.2
  • 22
    • 33744960613 scopus 로고    scopus 로고
    • An illustration of issues in factor extraction and identification of dimensionality in psychological assessment data
    • Steger, M.F. (2006). An illustration of issues in factor extraction and identification of dimensionality in psychological assessment data. Journal of Personality Assessment, 86, 263-272.
    • (2006) Journal of Personality Assessment , vol.86 , pp. 263-272
    • Steger, M.F.1
  • 23
    • 0032363615 scopus 로고    scopus 로고
    • The effect of common variance and structure pattern on random data eigenvalues: Implications for the accuracy of parallel analysis
    • Turner, N.E. (1998). The effect of common variance and structure pattern on random data eigenvalues: Implications for the accuracy of parallel analysis. Educational and Psychological Measurement, 58, 541-568.
    • (1998) Educational and Psychological Measurement , vol.58 , pp. 541-568
    • Turner, N.E.1
  • 24
    • 0001193215 scopus 로고
    • Determining the number of components from the matrix of partial correlations
    • Velicer, W.F. (1976). Determining the number of components from the matrix of partial correlations. Psychometrika, 41, 321-327.
    • (1976) Psychometrika , vol.41 , pp. 321-327
    • Velicer, W.F.1
  • 25
    • 0002366447 scopus 로고    scopus 로고
    • Construct explication through factor or component analysis: A review and evaluation of alternative procedures for determining the number of factors or components
    • In R. D. Goffin, & E. Helmes (Eds.), Boston, MA: Kluwer
    • Velicer, W.F., Eaton, C.A., & Fava, J.L. (2000). Construct explication through factor or component analysis: A review and evaluation of alternative procedures for determining the number of factors or components. In R. D. Goffin, & E. Helmes (Eds.), Problems and solutions in human assessment: Honoring Douglas Jackson at seventy (pp. 41-71). Boston, MA: Kluwer.
    • (2000) Problems and Solutions in Human Assessment: Honoring Douglas Jackson at Seventy , pp. 41-71
    • Velicer, W.F.1    Eaton, C.A.2    Fava, J.L.3
  • 26
    • 21344498334 scopus 로고
    • Common factor analysis versus principal component analysis: Differential bias in representing model parameters?
    • Widaman, K.F. (1993). Common factor analysis versus principal component analysis: Differential bias in representing model parameters? Multivariate Behavioral Research, 28, 263-311.
    • (1993) Multivariate Behavioral Research , vol.28 , pp. 263-311
    • Widaman, K.F.1
  • 27
    • 58149371334 scopus 로고
    • Comparison of five rules for determining the number of components to retain
    • Zwick, W.R., & Velicer, W.F. (1986). Comparison of five rules for determining the number of components to retain. Psychological Bulletin, 99, 432-442.
    • (1986) Psychological Bulletin , vol.99 , pp. 432-442
    • Zwick, W.R.1    Velicer, W.F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.