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

CLAS-SS: 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.; Lu, M.; Lo, W.J.; Svetina, D.; Crawford, A.V.; Scott, L.

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. ; Lu, M. ; Lo, W.J. ; Svetina, D. ; Crawford, A.V. ; Scott, L. / 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.

@conference{0aa859feed314a5e967d100573ca02b7,

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",

}