<p>Each row specifies the significant increase in goodness of fit obtained by adding the current predictor to the model including all preceding predictors. AIC: Akaike Information Criterion.</p
Goodness-of-fit of the indicators in the original CEQ factor model and CEQ-C factor model.</p
Akaike information criteria (AIC) for multivariate regression and multiple linear regression models ...
<p>(A) adjusted-R<sup>2</sup> map and corresponding histogram. (B) Akaike Information Criteria (AIC)...
<p>Each row specifies the increase in goodness of fit obtained by adding the current predictor to th...
<p>Each row specifies the increase in goodness of fit of the model resulting from the addition of th...
<p>The Akaike information criterion (AICc) values for regression models investigating the effects of...
<p>Table of Akaike Information Criterion (AIC) and Adjusted R<sup>2</sup> values for the different p...
The underlined entry of each row is the minimal value of AIC attained for that dataset. Values in br...
<p>Model parameter estimates and Akaike information criteria for best-fit models for each scenario.<...
<p>Confirmatory factor analysis, model fit and goodness-of-fit indicators (N = 78).</p
<p>Note: Variables correspond to those described in the section ‘Bivariate analysis’. AIC is Akaike ...
<p>The Akaike Information Criterion (AIC) is a metric for determining the most appropriate model for...
<p>Summary of model selection with corrected Akaike’s Information Criterion (AICc).</p
<p>Best models according to Akaike Information Criterion corrected for small sample bias (AICc).</p
<p>The Akaike information criterion (AICc) values for regression models investigating the effects of...
Goodness-of-fit of the indicators in the original CEQ factor model and CEQ-C factor model.</p
Akaike information criteria (AIC) for multivariate regression and multiple linear regression models ...
<p>(A) adjusted-R<sup>2</sup> map and corresponding histogram. (B) Akaike Information Criteria (AIC)...
<p>Each row specifies the increase in goodness of fit obtained by adding the current predictor to th...
<p>Each row specifies the increase in goodness of fit of the model resulting from the addition of th...
<p>The Akaike information criterion (AICc) values for regression models investigating the effects of...
<p>Table of Akaike Information Criterion (AIC) and Adjusted R<sup>2</sup> values for the different p...
The underlined entry of each row is the minimal value of AIC attained for that dataset. Values in br...
<p>Model parameter estimates and Akaike information criteria for best-fit models for each scenario.<...
<p>Confirmatory factor analysis, model fit and goodness-of-fit indicators (N = 78).</p
<p>Note: Variables correspond to those described in the section ‘Bivariate analysis’. AIC is Akaike ...
<p>The Akaike Information Criterion (AIC) is a metric for determining the most appropriate model for...
<p>Summary of model selection with corrected Akaike’s Information Criterion (AICc).</p
<p>Best models according to Akaike Information Criterion corrected for small sample bias (AICc).</p
<p>The Akaike information criterion (AICc) values for regression models investigating the effects of...
Goodness-of-fit of the indicators in the original CEQ factor model and CEQ-C factor model.</p
Akaike information criteria (AIC) for multivariate regression and multiple linear regression models ...
<p>(A) adjusted-R<sup>2</sup> map and corresponding histogram. (B) Akaike Information Criteria (AIC)...
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