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Sample Size in Multilevel Structural Equation Modeling – The Monte Carlo Approach

   | Feb 20, 2020

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Bentler P.M., Chou C., 1987, Practical issues in structural modeling, Sociological Methods and Research, 16, pp. 78-117.10.1177/0049124187016001004Search in Google Scholar

Cohen J., 1988, Statistical Power Analysis for the Behavioral Sciences, Lawrence Erlbaum Associates.Search in Google Scholar

Cohen J., 1992, A power primer, Psychological Bulletin, 112, pp. 155-159.10.1037/0033-2909.112.1.155Search in Google Scholar

Davey A., Savla J., 2010, Power Analysis with Missing Data. A Structural Equation Modeling Approach, Routledge.10.4324/9780203866955Search in Google Scholar

Eliason S.R.,1993, Maximum Likelihood Estimation, Newbury Park, CA, Sage10.4135/9781412984928Search in Google Scholar

Hox J., Van de Schoot R., 2013, Robust Methods for Multilevel Analysis, [in:] M.A. Scott, J.S., Simonoff, B.D. Marx, The SAGE Handbook of Multilevel Modeling, Sage.10.4135/9781446247600.n22Search in Google Scholar

Kish L., 2004, Statistical Design for Research, WileySearch in Google Scholar

Lehtonen R., Pahkinen E., 2004, Practical Methods for Design and Analysis of Complex Surveys, Wiley.10.1002/0470091649Search in Google Scholar

Maas C.J.M., Hox J.J., 2005, Sufficient sample sizes for multilevel modeling, Methodology 1(3), pp. 86-92.10.1027/1614-2241.1.3.86Search in Google Scholar

MacCallum R.C., Browne M.W., Sugawara H.M., 1996, Power analysis and determination of sample size for covariance structure modeling, Psychological Methods, 1, pp. 130-149.10.1037/1082-989X.1.2.130Search in Google Scholar

Muthén L.K., Muthén B.O., 2002, How to use a Monte Carlo study to decide on sample size and determine power, Structural Equation Modeling, 4, pp. 599-620.10.1207/S15328007SEM0904_8Search in Google Scholar

Satorra A., Saris W.E., 1985, Power of the likelihood ratio test in covariance structure analysis, Psychometrika, 50, pp. 83-90.10.1007/BF02294150Search in Google Scholar

Snijders T.A.B., 2005, Power and Sample Size in Multilevel Linear Models, [in:] B.S. Everitt, D.C. Howell (eds.), Encyclopedia of Statistics in Behavioral Science. Volume 3, Chicester.10.1002/0470013192.bsa492Search in Google Scholar

Stegmueller D., 2013, How many countries for multilevel modeling? A comparison of frequentist Bayesian and approaches, American Journal of Political Science, 57(3), pp. 748-76110.1111/ajps.12001Search in Google Scholar

Szlis I., 2012, Aspiracje a rzeczywistość – wizerunek banku jako efekt sieci interakcji. Teoria – narzędzia pomiaru – praktyka, CeDeWu, Warszawa.Search in Google Scholar

Valliant R., Dever J.A., Kreuter F., 2013, Practical Tools for Designing and Weighting Survey Samples, Springer.10.1007/978-1-4614-6449-5Search in Google Scholar

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