Use of completely random data to assess the number of factors with parallel analysis: An empirical evaluation of a conceptual flaw and its correction

S.B. Green; R. Levy; M.S. Thompson; M. Lu; W.J. Lo; D. Svetina; A.V. Crawford; L. Scott

Use of completely random data to assess the number of factors with parallel analysis: An empirical evaluation of a conceptual flaw and its correction

S.B. Green, R. Levy, M.S. Thompson, M. Lu, W.J. Lo, D. Svetina, A.V. Crawford, L. Scott

Social and Family Dynamics, T. Denny Sanford School of (SSFD)

Research output: Contribution to conference › Paper › peer-review

Original language	English
State	Published - 2011
Event	Use of completely random data to assess the number of factors with parallel analysis: An empirical evaluation of a conceptual flaw and its correction - Duration: Jan 1 2011 → …

Conference

Conference	Use of completely random data to assess the number of factors with parallel analysis: An empirical evaluation of a conceptual flaw and its correction
Period	1/1/11 → …

Cite this

Green, S. B., Levy, R., Thompson, M. S., Lu, M., Lo, W. J., Svetina, D., Crawford, A. V., & Scott, L. (2011). Use of completely random data to assess the number of factors with parallel analysis: An empirical evaluation of a conceptual flaw and its correction. Paper presented at Use of completely random data to assess the number of factors with parallel analysis: An empirical evaluation of a conceptual flaw and its correction.

Use of completely random data to assess the number of factors with parallel analysis: An empirical evaluation of a conceptual flaw and its correction. / Green, S.B.; Levy, R.; Thompson, M.S. et al.

2011. Paper presented at Use of completely random data to assess the number of factors with parallel analysis: An empirical evaluation of a conceptual flaw and its correction.

Research output: Contribution to conference › Paper › peer-review

Green, SB, Levy, R, Thompson, MS, Lu, M, Lo, WJ, Svetina, D, Crawford, AV & Scott, L 2011, 'Use of completely random data to assess the number of factors with parallel analysis: An empirical evaluation of a conceptual flaw and its correction', Paper presented at Use of completely random data to assess the number of factors with parallel analysis: An empirical evaluation of a conceptual flaw and its correction, 1/1/11.

Green SB, Levy R, Thompson MS, Lu M, Lo WJ, Svetina D et al.. Use of completely random data to assess the number of factors with parallel analysis: An empirical evaluation of a conceptual flaw and its correction. 2011. Paper presented at Use of completely random data to assess the number of factors with parallel analysis: An empirical evaluation of a conceptual flaw and its correction.

Green, S.B. ; Levy, R. ; Thompson, M.S. et al. / Use of completely random data to assess the number of factors with parallel analysis: An empirical evaluation of a conceptual flaw and its correction. Paper presented at Use of completely random data to assess the number of factors with parallel analysis: An empirical evaluation of a conceptual flaw and its correction.

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title = "Use of completely random data to assess the number of factors with parallel analysis: An empirical evaluation of a conceptual flaw and its correction",

author = "S.B. Green and R. Levy and M.S. Thompson and M. Lu and W.J. Lo and D. Svetina and A.V. Crawford and L. Scott",

year = "2011",

language = "English",

note = "null ; Conference date: 01-01-2011",

}