The Impact of Omitting Random Interaction Effects in Cross-Classified Random Effect Modeling

Autor:	Sehee Hong, Young Ri Lee
Rok vydání:	2018
Předmět:	Standard error Sample size determination 05 social sciences Statistics Monte Carlo method Developmental and Educational Psychology 050301 education Random effects model Interaction 0503 education Cross classified Education Mathematics
Zdroj:	The Journal of Experimental Education. 87:641-660
ISSN:	1940-0683 0022-0973
DOI:	10.1080/00220973.2018.1507985
Popis:	The present study examines bias in parameter estimates and standard error in cross-classified random effect modeling (CCREM) caused by omitting the random interaction effects of the cross-classifie...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c8b75fc5578d90974cd903f7a3a2a4ca https://doi.org/10.1080/00220973.2018.1507985 Zobrazit plný text záznamu