<p>All models had the same fixed effects structure and were fitted with REML estimation. The fit of each successively more complex model was assessed using likelihood ratio tests. In models 4 and 5, random slopes per individual were modeled in addition to the random intercepts. LR refers to log-likelihood ratio test statistics.</p
We propose a possible statistical model for both contextual analysis and slopes as outcomes analysis...
<p>Results of full log-linear (log-log) regression models including interaction terms (testing for h...
<p>How to determine if your regression slope estimate is greater than chance. Uses randomisations te...
<p>All models had the same random effects structure (ID and year as random intercepts) and were fitt...
Applied educational researchers may be interested in exploring random slope effects in multilevel mo...
<p>Random-effects (RE) model. Odds ratio (OR) estimates with the corresponding 95% confidence interv...
a<p>Alternative model;</p>b<p>null model; 2Δℓ = 2(ℓ<sub>1</sub>−ℓ<sub>0</sub>), df degrees of freedo...
1.Nakagawa & Schielzeth extended the widely used goodness-of-fit statistic R2 to apply to genera...
<p>M0 and M1 are one ratio model and free-ratio model, respectively.</p><p>lnL: log likelihood score...
<p>Estimated log likelihood, fit statistics, selected summary measures, and a likelihood ratio test ...
We derive some decision rules to select best predictive regression models in a credibility context, ...
Two small-sample tests for random coefficients in linear regression are derived from the Maximum Lik...
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAM...
University of Minnesota Ph.D. disseration. June 2010. Major: Educational Psychology. Advisor: Jeffre...
<p>Competing models arise naturally in many research fields, such as survival analysis and economics...
We propose a possible statistical model for both contextual analysis and slopes as outcomes analysis...
<p>Results of full log-linear (log-log) regression models including interaction terms (testing for h...
<p>How to determine if your regression slope estimate is greater than chance. Uses randomisations te...
<p>All models had the same random effects structure (ID and year as random intercepts) and were fitt...
Applied educational researchers may be interested in exploring random slope effects in multilevel mo...
<p>Random-effects (RE) model. Odds ratio (OR) estimates with the corresponding 95% confidence interv...
a<p>Alternative model;</p>b<p>null model; 2Δℓ = 2(ℓ<sub>1</sub>−ℓ<sub>0</sub>), df degrees of freedo...
1.Nakagawa & Schielzeth extended the widely used goodness-of-fit statistic R2 to apply to genera...
<p>M0 and M1 are one ratio model and free-ratio model, respectively.</p><p>lnL: log likelihood score...
<p>Estimated log likelihood, fit statistics, selected summary measures, and a likelihood ratio test ...
We derive some decision rules to select best predictive regression models in a credibility context, ...
Two small-sample tests for random coefficients in linear regression are derived from the Maximum Lik...
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAM...
University of Minnesota Ph.D. disseration. June 2010. Major: Educational Psychology. Advisor: Jeffre...
<p>Competing models arise naturally in many research fields, such as survival analysis and economics...
We propose a possible statistical model for both contextual analysis and slopes as outcomes analysis...
<p>Results of full log-linear (log-log) regression models including interaction terms (testing for h...
<p>How to determine if your regression slope estimate is greater than chance. Uses randomisations te...