2003
DOI: 10.1081/sac-120017493
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A Comparison of Noniterative Generalized Least Squares and Iterative Maximum Likelihood Estimators When Testing Hypotheses in Random Coefficient Growth Curve Models

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Cited by 5 publications
(2 citation statements)
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“…Therefore, we used a mixed-model framework (using the software Stata IC 10.0 for the Macintosh, Stata Corporation, College Station, Texas, U.S.A.), which is readily amenable to complex data sets with combinations of fixed and hierarchically structured random effects (Burton et al, 1998; Goldstein et al, 2002; Rabe-Hesketh and Skrondal, 2005). This mixed-modelling approach has the added advantage of estimating parameters with maximum likelihood procedures (we used restricted maximum likelihood), which are often more accurate and more powerful than the traditional least squares estimates used in analyses of variance and other linear models (e.g., Goldschmidt and Timm, 2003; Whitman, 2003; Orton and Lark, 2007). Specifically, we analyzed ZENK-ir as a function of photoexperience, song stimulus, location, and all their interactions, with measurement nested within individual female, individual female nested within photoexperience pair, and photoexperience pair nested within song pair, each as a random coefficient on location.…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, we used a mixed-model framework (using the software Stata IC 10.0 for the Macintosh, Stata Corporation, College Station, Texas, U.S.A.), which is readily amenable to complex data sets with combinations of fixed and hierarchically structured random effects (Burton et al, 1998; Goldstein et al, 2002; Rabe-Hesketh and Skrondal, 2005). This mixed-modelling approach has the added advantage of estimating parameters with maximum likelihood procedures (we used restricted maximum likelihood), which are often more accurate and more powerful than the traditional least squares estimates used in analyses of variance and other linear models (e.g., Goldschmidt and Timm, 2003; Whitman, 2003; Orton and Lark, 2007). Specifically, we analyzed ZENK-ir as a function of photoexperience, song stimulus, location, and all their interactions, with measurement nested within individual female, individual female nested within photoexperience pair, and photoexperience pair nested within song pair, each as a random coefficient on location.…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, for our analyses, we mostly used a mixed-model framework (using Stata IC 10.0 for the Macintosh; Stata Corporation, College Station, Texas), which is readily amenable to complex data sets with hierarchical structure (Burton et al 1998;Goldstein et al 2002;Rabe-Hesketh and Skrondal 2005). This mixedmodeling approach has the added advantage of estimating parameters with maximum likelihood procedures (we used restricted maximum likelihood), which are often more accurate and more powerful than the traditional least squares estimates used in analyses of variance and other linear models (e.g., Goldschmidt and Timm 2003;Whitman 2003;Orton and Lark 2007). We coded the categorical variables song quality and trill performance as 0 (low quality and low performance) and 1 (high quality and high performance).…”
Section: Statistical Analysesmentioning
confidence: 99%