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

Research output: Contribution to conferencePaper

Conference

ConferenceUse of completely random data to assess the number of factors with parallel analysis: An empirical evaluation of a conceptual flaw and its correction
Period1/1/11 → …

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Green, S. B., Levy, R., Thompson, M. S., Lu, M., Lo, W. J., Svetina, D., ... 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 conferencePaper

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, .
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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",
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T1 - Use of completely random data to assess the number of factors with parallel analysis: An empirical evaluation of a conceptual flaw and its correction

AU - Green, S.B.

AU - Levy, R.

AU - Thompson, M.S.

AU - Lu, M.

AU - Lo, W.J.

AU - Svetina, D.

AU - Crawford, A.V.

AU - Scott, L.

PY - 2011

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M3 - Paper

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