Sample size requirements in structural equation models under standard conditions

International Journal of Accounting Information Systems

Volumn 14, Issue 4, 2013, Pages 256-274

  Nicolaou, Andreas I ^a,b   Masoner, Michael M ^c  

^a BOWLING GREEN STATE UNIVERSITY   (United States)

^b UNIVERSITY OF CYPRUS   (Cyprus)

^c SOUTHERN ILLINOIS UNIVERSITY   (United States)

Author keywords

Barebones for high quality; Multitude of standards both single study and multi study perspectives; Relationship barebones standard and ranks quality standards; Research settings where sample size is constrained or collection is costly; Standard conditions in sample size for stability

Indexed keywords

EID: 84888431369     PISSN: 14670895     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.accinf.2013.11.001     Document Type: Article

References (17)

1. Andrews W.K. Power in econometric applications. Econometrica 1989, 75:1059-1090.
2. Baldwin B. A primer in the use and interpretation of structural equation models. Meas Eval Couns Dev 1989, 22:100-112.
3. Bollen K. Structural equations with latent variables 1989, John Wiley & Sons, New York.
4. Brinberg D., McGrath E.J. Validity and the research process 1985, Sage, Beverly Hills, CA.
5. Browne M.W., Cudeck R. Alternative ways of assessing model fit. Testing structural equation models 1993, Sage, Newbury Park, CA. K.A. Bollen, J.S. Long (Eds.).
6. Cohen J. Statistical power analysis for the behavioral sciences 1988, Lawrence Erlbaum Associates, Hillsdale, New Jersey. 2nd ed.
7. Hoogland J.J. The robustness of estimation methods for covariance structure analysis 1999, (PhD dissertation), Rijksuniversiteit Groningen, Netherlands.
8. Lomax R. Covariance structure analysis: extensions and developments. Advances in social science methodology 1989, Vol. 1:171-204. JAI Press, Greenwich, CT.
9. MacCallum R.C., Browne M.W., Sugawara H.M. Power analysis and determination of sample size for covariance structure modeling. Psychol Methods 1996, 1(2):130-149.
10. Marsh H.W., Hau Kit-Tai Confirmatory factor analysis: strategies for small sample sizes. Statistical strategies for small sample research 1999, Sage, Thousand Oaks, CA. R.H. Hoyle (Ed.).
11. Marsh H.W., Hau K.-T., Balla J. Is more ever too much: the number of indicators per factor in confirmatory factor analysis. Paper presented at the annual meeting of the American Eduicational Research Association, Chicago 1997, (March).
12. Mulaik S.A., James L.R. Objectivity and reasoning in science and structural equation modeling. Structural Equation Modeling 1995, Hoyle (Ed.).
13. Muthen B.O., Curran P.J. General longitudinal modeling of individual differences in experimental designs: a latent variable framework for analysis and power estimation. Psychol Methods 1997, 2(4):371-402.
14. Saris W.E., Satorra A. Power evaluations in structural equation models. Testing structural equation models 1993, Sage, Newbury Park, CA. K.A. Bollen, J.S. Long (Eds.).
15. Satorra A., Saris W.E. The power of the likelihood ratio test in covariance structure analysis. Psychometrika 1985, 50:83-90.
16. Steiger J.H. Point estimation, hypothesis testing, and interval estimation using the RMSEA: some comments and a reply to Hayduk and Glaser. Struct Equ Model 2000, 7:49-162.
17. Fan, X., Thompson, B., and Wang, L., Effects of Sample Size, Estimation Methods, and Model Specification on Structural Equation Modeling Fit Indexes. Struct Equ Model, 6(1), 56-83.