TY - GEN N1 - Econometrics = Ekonometria, 2019, Vol. 23, No. 4, s. 63-79 N2 - In the process of sample selection, an important issue is the relationship between sample size and the type and complexity of the statistical model, which is the basis for testing research hypotheses. The paper presents methodological aspects of sample size determination in multilevel structural equation modelling (SEM) in the analysis of satisfaction with the banking products in Poland. The multilevel SEM results from the necessity to take into account both the sample size at the level of individual respondents, as well as at the higher level of analysis and the intraclass correlation coefficient. A comparison of factor loading bias based on the Monte Carlo simulation is made for different cluster sizes and the number of clusters L1 - http://www.dbc.wroc.pl/Content/74209/Sagan_Sample_size_in_multilevel_structural.pdf M3 - artykuł L2 - http://www.dbc.wroc.pl/Content/74209 PY - 2019 KW - Monte Carlo simulation KW - sampling KW - multilevel SEM KW - dobór próby KW - wielopoziomowe modelowania strukturalne KW - symulacja Monte Carlo C1 - Pewne prawa zastrzeżone na rzecz Autorów i Wydawcy A1 - Sagan, Adam PB - Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu C6 - Dla wszystkich zgodnie z licencją CY - Wrocław ID - DOI: 10.15611/eada.2019.4.05 T1 - Sample size in multilevel structural equation modeling – the Monte Carlo approach UR - http://www.dbc.wroc.pl/dlibra/publication/edition/74209 T2 - Liczebność próby w wielopoziomowym modelowaniu strukturalnym – podejście Monte Carlo ER -