Matches in SemOpenAlex for { <https://semopenalex.org/work/W2022934807> ?p ?o ?g. }
- W2022934807 endingPage "111" @default.
- W2022934807 startingPage "96" @default.
- W2022934807 abstract "One of the most problematic issues in contemporary meta-analysis is the estimation and interpretation of moderating effects. Monte Carlo analyses are developed in this article that compare bivariate correlations, ordinary least squares and weighted least squares (WLS) multiple regression, and hierarchical subgroup (HS) analysis for assessing the influence of continuous moderators under conditions of multicollinearity and skewed distribution of study sample sizes (heteroscedasticity). The results show that only WLS is largely unaffected by multicollinearity and heteroscedasticity, whereas the other techniques are substantially weakened. Of note, HS, one of the most popular methods, typically provides the most inaccurate results, whereas WLS, one of the least popular methods, typically provides the most accurate results." @default.
- W2022934807 created "2016-06-24" @default.
- W2022934807 creator A5047150368 @default.
- W2022934807 creator A5057215278 @default.
- W2022934807 date "2002-01-01" @default.
- W2022934807 modified "2023-10-17" @default.
- W2022934807 title "Comparing meta-analytic moderator estimation techniques under realistic conditions." @default.
- W2022934807 cites W1480038094 @default.
- W2022934807 cites W1964378193 @default.
- W2022934807 cites W1965116150 @default.
- W2022934807 cites W1967859498 @default.
- W2022934807 cites W1967900087 @default.
- W2022934807 cites W1971053525 @default.
- W2022934807 cites W1971861215 @default.
- W2022934807 cites W1978936370 @default.
- W2022934807 cites W1980320733 @default.
- W2022934807 cites W1986452344 @default.
- W2022934807 cites W1993824322 @default.
- W2022934807 cites W1998740918 @default.
- W2022934807 cites W2009113178 @default.
- W2022934807 cites W2016506395 @default.
- W2022934807 cites W2019034273 @default.
- W2022934807 cites W2024357455 @default.
- W2022934807 cites W2025769020 @default.
- W2022934807 cites W2028169490 @default.
- W2022934807 cites W2031159319 @default.
- W2022934807 cites W2033129409 @default.
- W2022934807 cites W2044827249 @default.
- W2022934807 cites W2048593661 @default.
- W2022934807 cites W2049297495 @default.
- W2022934807 cites W2050698050 @default.
- W2022934807 cites W2051295428 @default.
- W2022934807 cites W2052248148 @default.
- W2022934807 cites W2052438523 @default.
- W2022934807 cites W2058818389 @default.
- W2022934807 cites W2060285158 @default.
- W2022934807 cites W2062517862 @default.
- W2022934807 cites W2065726697 @default.
- W2022934807 cites W2071854134 @default.
- W2022934807 cites W2074963254 @default.
- W2022934807 cites W2080326520 @default.
- W2022934807 cites W2083729541 @default.
- W2022934807 cites W2083962197 @default.
- W2022934807 cites W2087802614 @default.
- W2022934807 cites W2088916373 @default.
- W2022934807 cites W2090005550 @default.
- W2022934807 cites W2090978119 @default.
- W2022934807 cites W2091078027 @default.
- W2022934807 cites W2093819550 @default.
- W2022934807 cites W2094416358 @default.
- W2022934807 cites W2136099905 @default.
- W2022934807 cites W2152043305 @default.
- W2022934807 cites W2153346990 @default.
- W2022934807 cites W2161817511 @default.
- W2022934807 cites W2163179304 @default.
- W2022934807 cites W2163794951 @default.
- W2022934807 cites W2170125844 @default.
- W2022934807 cites W4205131843 @default.
- W2022934807 cites W4235705169 @default.
- W2022934807 cites W4249515814 @default.
- W2022934807 cites W4254762614 @default.
- W2022934807 cites W4365364571 @default.
- W2022934807 doi "https://doi.org/10.1037/0021-9010.87.1.96" @default.
- W2022934807 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/11916220" @default.
- W2022934807 hasPublicationYear "2002" @default.
- W2022934807 type Work @default.
- W2022934807 sameAs 2022934807 @default.
- W2022934807 citedByCount "278" @default.
- W2022934807 countsByYear W20229348072012 @default.
- W2022934807 countsByYear W20229348072013 @default.
- W2022934807 countsByYear W20229348072014 @default.
- W2022934807 countsByYear W20229348072015 @default.
- W2022934807 countsByYear W20229348072016 @default.
- W2022934807 countsByYear W20229348072017 @default.
- W2022934807 countsByYear W20229348072018 @default.
- W2022934807 countsByYear W20229348072019 @default.
- W2022934807 countsByYear W20229348072020 @default.
- W2022934807 countsByYear W20229348072021 @default.
- W2022934807 countsByYear W20229348072022 @default.
- W2022934807 countsByYear W20229348072023 @default.
- W2022934807 crossrefType "journal-article" @default.
- W2022934807 hasAuthorship W2022934807A5047150368 @default.
- W2022934807 hasAuthorship W2022934807A5057215278 @default.
- W2022934807 hasConcept C101104100 @default.
- W2022934807 hasConcept C105795698 @default.
- W2022934807 hasConcept C124936440 @default.
- W2022934807 hasConcept C126322002 @default.
- W2022934807 hasConcept C149782125 @default.
- W2022934807 hasConcept C152877465 @default.
- W2022934807 hasConcept C15744967 @default.
- W2022934807 hasConcept C162324750 @default.
- W2022934807 hasConcept C187736073 @default.
- W2022934807 hasConcept C189285262 @default.
- W2022934807 hasConcept C19499675 @default.
- W2022934807 hasConcept C33923547 @default.
- W2022934807 hasConcept C53059260 @default.
- W2022934807 hasConcept C64341305 @default.
- W2022934807 hasConcept C71924100 @default.