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Volumn 44, Issue 3, 2009, Pages 362-388

Exploring the sensitivity of Horn's parallel Analysis to the distributional form of random data

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EID: 70449602269     PISSN: 00273171     EISSN: None     Source Type: Journal    
DOI: 10.1080/00273170902938969     Document Type: Article
Times cited : (159)

References (34)
  • 1
    • 0001455485 scopus 로고
    • Regression equations for the latent roots of random data correlation matrices with unities on the diagonal
    • Allen, S. J., & Hubbard, R. (1986). Regression equations for the latent roots of random data correlation matrices with unities on the diagonal. Multivariate Behavioral Research, 21, 393-96.
    • (1986) Multivariate Behavioral Research , vol.21 , pp. 393-96
    • Allen, S.J.1    Hubbard, R.2
  • 3
    • 0035733108 scopus 로고    scopus 로고
    • The control of the false discovery rate in multiple testing under dependency
    • Benjamini, Y., & Yekutieli, D. (2001). The control of the false discovery rate in multiple testing under dependency. The Annals of Statistics, 29, 1165-1188.
    • (2001) The Annals of Statistics , vol.29 , pp. 1165-1188
    • Benjamini, Y.1    Yekutieli, D.2
  • 5
    • 84937549955 scopus 로고
    • The scree test for the number of factors
    • Cattell, R. B. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1,245-276.
    • (1966) Multivariate Behavioral Research , vol.1 , pp. 245-276
    • Cattell, R.B.1
  • 6
    • 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
  • 7
    • 84973741598 scopus 로고
    • Comparing different methods for implementing parallel analysis: A practical index of accuracy
    • Cota, A. A., Longman, R. S., Holden, R. R., & Fekken, G. C. (1993). Comparing different methods for implementing parallel analysis: A practical index of accuracy. Educational and Psychological Measurement, 53, 865-876.
    • (1993) Educational and Psychological Measurement , vol.53 , pp. 865-876
    • Cota, A.A.1    Longman, R.S.2    Holden, R.R.3    Fekken, G.C.4
  • 8
    • 35948933029 scopus 로고    scopus 로고
    • On the number of principal components: A test of dimensionality based on measurements of similarity between matrices
    • Dray, S. (2008). On the number of principal components: A test of dimensionality based on measurements of similarity between matrices. Computational Statistics and Data Analysis, 52, 2228-2237.
    • (2008) Computational Statistics and Data Analysis , vol.52 , pp. 2228-2237
    • Dray, S.1
  • 9
    • 85021394779 scopus 로고
    • The application of exploratory factor analysis in applied psychology: A critical review and analysis
    • Ford, J. K., MacCallum, R. C., & Tait, M. (1986). The application 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
    • 0031206521 scopus 로고    scopus 로고
    • A robust five-factor structure of the 16PF: Strong evidence from independent rotation and confirmatory factorial invariance procedures
    • Hofer, S. M., Horn, J. L., & Eber, H. W. (1997). A robust five-factor structure of the 16PF: Strong evidence from independent rotation and confirmatory factorial invariance procedures. Personality and Individual Differences, 23, 247-269.
    • (1997) Personality and Individual Differences , vol.23 , pp. 247-269
    • Hofer, S.M.1    Horn, J.L.2    Eber, H.W.3
  • 14
    • 0002294347 scopus 로고
    • A simple sequentially rejective multiple test procedure
    • Holm, S. (1979). A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics, 6, 1979.
    • (1979) Scandinavian Journal of Statistics , vol.6 , pp. 1979
    • Holm, S.1
  • 15
    • 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
  • 16
    • 84938049241 scopus 로고
    • Cattell's scree test in Relation to Bartlett's chi-square test and other observations on the number of factors problem
    • Horn, J. L., & Engstrom, R. (1979). Cattell's scree test in Relation to Bartlett's chi-square test and other observations on the number of factors problem. Multivariate Behavioral Research, 14, 283-300.
    • (1979) Multivariate Behavioral Research , vol.14 , pp. 283-300
    • Horn, J.L.1    Engstrom, R.2
  • 17
    • 0001665029 scopus 로고
    • Latent roots of random data correlation matrices with squared multiple correlations on the diagonal: A Monte Carlo study
    • Humphreys, L. G., & Montanelli, R. G. (1976). Latent roots of random data correlation matrices with squared multiple correlations on the diagonal: A Monte Carlo study. Psychometrika, 41, 341-348.
    • (1976) Psychometrika , vol.41 , pp. 341-348
    • Humphreys, L.G.1    Montanelli, R.G.2
  • 18
    • 0027332773 scopus 로고
    • Stopping rules in principal components analysis: A comparison of heuristical and statistical approaches
    • Jackson, D. A. (1993). Stopping rules in principal components analysis: A comparison of heuristical and statistical approaches. Ecology, 74, 2204-2214.
    • (1993) Ecology , vol.74 , pp. 2204-2214
    • Jackson, D.A.1
  • 19
    • 84976998771 scopus 로고
    • The application of electronic computers to factor analysis
    • Kaiser, H. (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.1
  • 20
    • 0034346282 scopus 로고    scopus 로고
    • A regression equation for determining the dimensionality of data
    • Keeling, K. (2000). A regression equation for determining the dimensionality of data. Multivariate Behavioral Research, 35, 457-468.
    • (2000) Multivariate Behavioral Research , vol.35 , pp. 457-468
    • Keeling, K.1
  • 22
    • 33745221864 scopus 로고    scopus 로고
    • The sources of four commonly reported cutoff criteria: What did they really say?
    • Lance, C. E., Butts, M. M., & Michels L. C. (2006). The sources of four commonly reported cutoff criteria: What did they really say? Organizational Research Methods, 9, 202-220.
    • (2006) Organizational Research Methods , vol.9 , pp. 202-220
    • Lance, C.E.1    Butts, M.M.2    Michels, L.C.3
  • 23
    • 0000985091 scopus 로고
    • A comparison of alternatives to conducting Monte Carlo analyses for determining parallel analysis criteria
    • Lautenschlager, G. J. (1989). A comparison of alternatives to conducting Monte Carlo analyses for determining parallel analysis criteria. Multivariate Behavioral Research, 24, 365-395.
    • (1989) Multivariate Behavioral Research , vol.24 , pp. 365-395
    • Lautenschlager, G.J.1
  • 24
    • 84951420802 scopus 로고
    • A regression equation for the parallel analysis criterion in principal components analysis: Mean and 95th percentile eigenvalues
    • Longman, R. S., Cota, A. A., Holden, R. R., & Fekken, G. C. (1989). A regression equation for the parallel analysis criterion in principal components analysis: Mean and 95th percentile eigenvalues. Multivariate Behavioral Research, 24, 59-69.
    • (1989) Multivariate Behavioral Research , vol.24 , pp. 59-69
    • Longman, R.S.1    Cota, A.A.2    Holden, R.R.3    Fekken, G.C.4
  • 25
    • 37549027964 scopus 로고    scopus 로고
    • Efficient theory development and factor retention criteria: Abandon the 'eigenvalue greater than one' criterion
    • Patil, V., Singh, S., Mishra, S., & Todd Donavan, D. (2008). Efficient theory development and factor retention criteria: Abandon the 'eigenvalue greater than one' criterion. Journal of Business Research, 61, 162-170.
    • (2008) Journal of Business Research , vol.61 , pp. 162-170
    • Patil, V.1    Singh, S.2    Mishra, S.3    Todd Donavan, D.4
  • 26
    • 10244229073 scopus 로고    scopus 로고
    • The development and implementation of the National Comorbidity Survey Replication, the National Survey of American Life, and the National Latino and Asian American Survey
    • Pennell, B., Bowers, A., Carr, D., Chardoul, S., Cheung, G., Dinkelmann, K., et al. (2004). The development and implementation of the National Comorbidity Survey Replication, the National Survey of American Life, and the National Latino and Asian American Survey. International Journal of Methods in Psychiatric Research, 13, 241-69.
    • (2004) International Journal of Methods in Psychiatric Research , vol.13 , pp. 241-69
    • Pennell, B.1    Bowers, A.2    Carr, D.3    Chardoul, S.4    Cheung, G.5    Dinkelmann, K.6
  • 27
    • 19044395321 scopus 로고    scopus 로고
    • How many principal components? Stopping rules for determining the number of non-trivial axes revisited
    • Peres-Neto, P., Jackson, D., & Somers, K. (2005). How many principal components? Stopping rules for determining the number of non-trivial axes revisited. Computational Statistics and Data Analysis, 49, 974-997.
    • (2005) Computational Statistics and Data Analysis , vol.49 , pp. 974-997
    • Peres-Neto, P.1    Jackson, D.2    Somers, K.3
  • 28
    • 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
  • 29
    • 0038078419 scopus 로고
    • Comparison of two criteria for determining the number of factors
    • Silverstein, A. B. (1977). Comparison of two criteria for determining the number of factors. Psychological Reports, 41, 387-390.
    • (1977) Psychological Reports , vol.41 , pp. 387-390
    • Silverstein, A.B.1
  • 31
    • 84993683893 scopus 로고    scopus 로고
    • Factor analytic evidence for the construct validity of scores: A historical overview and some guidelines
    • Thompson, B., & Daniel, L. G. (1996). Factor analytic evidence for the construct validity of scores: A historical overview and some guidelines. Educational and Psychological Measurement, 56, 197-208.
    • (1996) Educational and Psychological Measurement , vol.56 , pp. 197-208
    • Thompson, B.1    Daniel, L.G.2
  • 32
    • 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. Goffen & E. Helms (Eds.), Norwell, MA: Springer
    • 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. Goffen & E. Helms (Eds.), Problems and solutions in human assessment: Honoring Douglas N. Jackson at seventy (pp. 41-71). Norwell, MA: Springer.
    • (2000) Problems and Solutions in Human Assessment: Honoring Douglas N. Jackson at Seventy , pp. 41-71
    • Velicer, W.F.1    Eaton, C.A.2    Fava, J.L.3
  • 33
    • 84951394515 scopus 로고
    • Component analysis versus common factor analysis: Some issues in selecting an appropriate procedure
    • Velicer, W. F., & Jackson, D. N. (1990). Component analysis versus common factor analysis: Some issues in selecting an appropriate procedure. Multivariate Behavioral Research, 25, 1-28.
    • (1990) Multivariate Behavioral Research , vol.25 , pp. 1-28
    • Velicer, W.F.1    Jackson, D.N.2
  • 34
    • 58149371334 scopus 로고
    • A comparison of five rules for determining the number of factors to retain
    • Zwick, W. R., & Velicer, W. F. (1986). A comparison of five rules for determining the number of factors to retain. Psychological Bulletin, 99, 432-442.
    • (1986) Psychological Bulletin , vol.99 , pp. 432-442
    • Zwick, W.R.1    Velicer, W.F.2


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