A stepwise hypothesis-testing approach to assess the number of underlying factors: Revised parallel analysis as an alternative to maximum likelihood testing

S.B. Green; W.J. Lo; M.S. Thompson

A stepwise hypothesis-testing approach to assess the number of underlying factors: Revised parallel analysis as an alternative to maximum likelihood testing

S.B. Green
, W.J. Lo
, M.S. Thompson

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

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

Original language	English
State	Published - 2012
Event	A stepwise hypothesis-testing approach to assess the number of underlying factors: Revised parallel analysis as an alternative to maximum likelihood testing - Duration: Jan 1 2012 → …

Conference

Conference	A stepwise hypothesis-testing approach to assess the number of underlying factors: Revised parallel analysis as an alternative to maximum likelihood testing
Period	1/1/12 → …

Cite this

Green, S. B., Lo, W. J., & Thompson, M. S. (2012). A stepwise hypothesis-testing approach to assess the number of underlying factors: Revised parallel analysis as an alternative to maximum likelihood testing. Paper presented at A stepwise hypothesis-testing approach to assess the number of underlying factors: Revised parallel analysis as an alternative to maximum likelihood testing.

A stepwise hypothesis-testing approach to assess the number of underlying factors: Revised parallel analysis as an alternative to maximum likelihood testing. / Green, S.B.; Lo, W.J.; Thompson, M.S.
2012. Paper presented at A stepwise hypothesis-testing approach to assess the number of underlying factors: Revised parallel analysis as an alternative to maximum likelihood testing.

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

Green, SB, Lo, WJ & Thompson, MS 2012, 'A stepwise hypothesis-testing approach to assess the number of underlying factors: Revised parallel analysis as an alternative to maximum likelihood testing', Paper presented at A stepwise hypothesis-testing approach to assess the number of underlying factors: Revised parallel analysis as an alternative to maximum likelihood testing, 1/1/12.

Green SB, Lo WJ, Thompson MS. A stepwise hypothesis-testing approach to assess the number of underlying factors: Revised parallel analysis as an alternative to maximum likelihood testing. 2012. Paper presented at A stepwise hypothesis-testing approach to assess the number of underlying factors: Revised parallel analysis as an alternative to maximum likelihood testing.

Green, S.B. ; Lo, W.J. ; Thompson, M.S. / A stepwise hypothesis-testing approach to assess the number of underlying factors: Revised parallel analysis as an alternative to maximum likelihood testing. Paper presented at A stepwise hypothesis-testing approach to assess the number of underlying factors: Revised parallel analysis as an alternative to maximum likelihood testing.

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