Matches in SemOpenAlex for { <https://semopenalex.org/work/W2037692011> ?p ?o ?g. }
- W2037692011 abstract "Conventionally, multilevel analysis of covariance (ML-ANCOVA) has been the recommended approach for analyzing treatment effects in quasi-experimental multilevel designs with treatment application at the cluster-level. In this paper, we introduce the generalized ML-ANCOVA with linear effect functions that identifies average and conditional treatment effects in the presence of treatment-covariate interactions. We show how the generalized ML-ANCOVA model can be estimated with multigroup multilevel structural equation models that offer considerable advantages compared to traditional ML-ANCOVA. The proposed model takes into account measurement error in the covariates, sampling error in contextual covariates, treatment-covariate interactions, and stochastic predictors. We illustrate the implementation of ML-ANCOVA with an example from educational effectiveness research where we estimate average and conditional effects of early transition to secondary schooling on reading comprehension." @default.
- W2037692011 created "2016-06-24" @default.
- W2037692011 creator A5032105571 @default.
- W2037692011 creator A5061673651 @default.
- W2037692011 creator A5071592056 @default.
- W2037692011 creator A5086840674 @default.
- W2037692011 date "2014-04-23" @default.
- W2037692011 modified "2023-09-28" @default.
- W2037692011 title "Analyzing average and conditional effects with multigroup multilevel structural equation models" @default.
- W2037692011 cites W1516738779 @default.
- W2037692011 cites W1597230962 @default.
- W2037692011 cites W1601979579 @default.
- W2037692011 cites W1963742443 @default.
- W2037692011 cites W1969168383 @default.
- W2037692011 cites W1972102668 @default.
- W2037692011 cites W1973709041 @default.
- W2037692011 cites W1983769299 @default.
- W2037692011 cites W1984822959 @default.
- W2037692011 cites W1991392196 @default.
- W2037692011 cites W1992588408 @default.
- W2037692011 cites W1996564297 @default.
- W2037692011 cites W2001380437 @default.
- W2037692011 cites W2007553837 @default.
- W2037692011 cites W2012202933 @default.
- W2037692011 cites W2015536561 @default.
- W2037692011 cites W2021298725 @default.
- W2037692011 cites W2028871521 @default.
- W2037692011 cites W2035994692 @default.
- W2037692011 cites W2036002215 @default.
- W2037692011 cites W2043109051 @default.
- W2037692011 cites W2051026634 @default.
- W2037692011 cites W2052351070 @default.
- W2037692011 cites W2056760570 @default.
- W2037692011 cites W2058708095 @default.
- W2037692011 cites W2060881560 @default.
- W2037692011 cites W2069082219 @default.
- W2037692011 cites W2075045477 @default.
- W2037692011 cites W2077127112 @default.
- W2037692011 cites W2079257116 @default.
- W2037692011 cites W2080705323 @default.
- W2037692011 cites W2093910686 @default.
- W2037692011 cites W2108998562 @default.
- W2037692011 cites W2111141675 @default.
- W2037692011 cites W2115097682 @default.
- W2037692011 cites W2118904110 @default.
- W2037692011 cites W2124544085 @default.
- W2037692011 cites W2129368568 @default.
- W2037692011 cites W2130645655 @default.
- W2037692011 cites W2132917208 @default.
- W2037692011 cites W2136724096 @default.
- W2037692011 cites W2140134152 @default.
- W2037692011 cites W2143891888 @default.
- W2037692011 cites W2145711246 @default.
- W2037692011 cites W2150291618 @default.
- W2037692011 cites W2163829751 @default.
- W2037692011 cites W2163995972 @default.
- W2037692011 cites W2329684795 @default.
- W2037692011 cites W2478384133 @default.
- W2037692011 cites W4206439534 @default.
- W2037692011 cites W4241635929 @default.
- W2037692011 doi "https://doi.org/10.3389/fpsyg.2014.00304" @default.
- W2037692011 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4006036" @default.
- W2037692011 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24795668" @default.
- W2037692011 hasPublicationYear "2014" @default.
- W2037692011 type Work @default.
- W2037692011 sameAs 2037692011 @default.
- W2037692011 citedByCount "15" @default.
- W2037692011 countsByYear W20376920112015 @default.
- W2037692011 countsByYear W20376920112016 @default.
- W2037692011 countsByYear W20376920112017 @default.
- W2037692011 countsByYear W20376920112019 @default.
- W2037692011 countsByYear W20376920112020 @default.
- W2037692011 countsByYear W20376920112021 @default.
- W2037692011 crossrefType "journal-article" @default.
- W2037692011 hasAuthorship W2037692011A5032105571 @default.
- W2037692011 hasAuthorship W2037692011A5061673651 @default.
- W2037692011 hasAuthorship W2037692011A5071592056 @default.
- W2037692011 hasAuthorship W2037692011A5086840674 @default.
- W2037692011 hasBestOaLocation W20376920111 @default.
- W2037692011 hasConcept C105795698 @default.
- W2037692011 hasConcept C119043178 @default.
- W2037692011 hasConcept C119340705 @default.
- W2037692011 hasConcept C149782125 @default.
- W2037692011 hasConcept C15744967 @default.
- W2037692011 hasConcept C178650346 @default.
- W2037692011 hasConcept C33923547 @default.
- W2037692011 hasConcept C53059260 @default.
- W2037692011 hasConcept C71104824 @default.
- W2037692011 hasConceptScore W2037692011C105795698 @default.
- W2037692011 hasConceptScore W2037692011C119043178 @default.
- W2037692011 hasConceptScore W2037692011C119340705 @default.
- W2037692011 hasConceptScore W2037692011C149782125 @default.
- W2037692011 hasConceptScore W2037692011C15744967 @default.
- W2037692011 hasConceptScore W2037692011C178650346 @default.
- W2037692011 hasConceptScore W2037692011C33923547 @default.
- W2037692011 hasConceptScore W2037692011C53059260 @default.
- W2037692011 hasConceptScore W2037692011C71104824 @default.
- W2037692011 hasLocation W20376920111 @default.
- W2037692011 hasLocation W20376920112 @default.
- W2037692011 hasLocation W20376920113 @default.