<p>Coefficients and AICc values for alternative generalized linear models (GLMs) are shown as predictors of children’s academic performance quantified as the percent of grade 6 students passing above provincial standards in Toronto, Ontario (n = 281).</p
Abstract— It is a challenging factor that is to effectively analyzing and generating needed informat...
<p>All models considered, ordered by their fit (Model rank). Three measures of model support are sho...
In explanatory research, as opposed to exploratory research, data analysis is meant to shed light on...
<p>CA1 is correspondence analysis on axis 1, and CA2 is correspondence analysis on axis 2 using spec...
Hierarchical linear models predicting students’ academic performance in Chinese, mathematics, and En...
Academic success in further mathematics is perceived to have a significant contribution towards the ...
<p>The coefficients are adjusted for race (percentage of different populations at a school, includin...
<p>Generalized Linear Models indicating the predictors for each measure of model performance.</p
*<p>Highest absolute coefficient values are highlighted of each rule. Note that a positive coefficie...
<p>GEE: Generalized estimating equations.</p><p>HAZ: height-for-age Z-score; BAZ: BMI-for-age Z-scor...
Hierarchical linear regression predicting conceptual understanding (Model 1a) and overall mathematic...
Results of unadjusted and adjusted logistic regression models for school readiness by Intergeneratio...
Using a model followed in earlier research, correlations were computed between undergraduate and g...
<p>The table shows the top models (models within 2AICc units of the best model), with AICc values an...
This article aims to estimate the TOEIC scores from the G-TELP (Level 3) scores with the data obtain...
Abstract— It is a challenging factor that is to effectively analyzing and generating needed informat...
<p>All models considered, ordered by their fit (Model rank). Three measures of model support are sho...
In explanatory research, as opposed to exploratory research, data analysis is meant to shed light on...
<p>CA1 is correspondence analysis on axis 1, and CA2 is correspondence analysis on axis 2 using spec...
Hierarchical linear models predicting students’ academic performance in Chinese, mathematics, and En...
Academic success in further mathematics is perceived to have a significant contribution towards the ...
<p>The coefficients are adjusted for race (percentage of different populations at a school, includin...
<p>Generalized Linear Models indicating the predictors for each measure of model performance.</p
*<p>Highest absolute coefficient values are highlighted of each rule. Note that a positive coefficie...
<p>GEE: Generalized estimating equations.</p><p>HAZ: height-for-age Z-score; BAZ: BMI-for-age Z-scor...
Hierarchical linear regression predicting conceptual understanding (Model 1a) and overall mathematic...
Results of unadjusted and adjusted logistic regression models for school readiness by Intergeneratio...
Using a model followed in earlier research, correlations were computed between undergraduate and g...
<p>The table shows the top models (models within 2AICc units of the best model), with AICc values an...
This article aims to estimate the TOEIC scores from the G-TELP (Level 3) scores with the data obtain...
Abstract— It is a challenging factor that is to effectively analyzing and generating needed informat...
<p>All models considered, ordered by their fit (Model rank). Three measures of model support are sho...
In explanatory research, as opposed to exploratory research, data analysis is meant to shed light on...