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; R. Levy

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, R. Levy

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., & Levy, R. (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. et al.

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 & Levy, R 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, Levy R. 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. et al. / 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.

@conference{444efa8055eb4357923c596c7c11a260,

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

author = "S.B. Green and W.J. Lo and M.S. Thompson and R. Levy",

year = "2012",

language = "English",

note = "null ; Conference date: 01-01-2012",

}