<p>CA1 is correspondence analysis on axis 1, and CA2 is correspondence analysis on axis 2 using species composition data.</p
g{E(yi)} = Xiβ where yi ∼ Exponential family 2. g is a known, smooth monotonic link function. 3. Xi...
<p>F<sub>ST</sub> was used as a response variable and Gaussian (identity) was used as a family (link...
Normal curve equivalent achievement gains estimates were compared with RMC Title I evaluation Models...
<p>Coefficients and AICc values for alternative generalized linear models (GLMs) are shown as predic...
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>All models considered, ordered by their fit (Model rank). Three measures of model support are sho...
<p>The coefficients are adjusted for race (percentage of different populations at a school, includin...
<p>Note: Negative girl vs. boy on intercept estimates mean girls have lower scores in fifth grade. P...
Hierarchical linear regression predicting conceptual understanding (Model 1a) and overall mathematic...
*<p>Highest absolute coefficient values are highlighted of each rule. Note that a positive coefficie...
School grades are still used by universities and employers for selection purposes. Thus, identifying...
Hierarchical linear regression predicting conceptual understanding (Model 2a) and overall mathematic...
<p>(*) Indicates significant variable (p≤0.05) contributing to the best model.</p
In explanatory research, as opposed to exploratory research, data analysis is meant to shed light on...
g{E(yi)} = Xiβ where yi ∼ Exponential family 2. g is a known, smooth monotonic link function. 3. Xi...
<p>F<sub>ST</sub> was used as a response variable and Gaussian (identity) was used as a family (link...
Normal curve equivalent achievement gains estimates were compared with RMC Title I evaluation Models...
<p>Coefficients and AICc values for alternative generalized linear models (GLMs) are shown as predic...
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>All models considered, ordered by their fit (Model rank). Three measures of model support are sho...
<p>The coefficients are adjusted for race (percentage of different populations at a school, includin...
<p>Note: Negative girl vs. boy on intercept estimates mean girls have lower scores in fifth grade. P...
Hierarchical linear regression predicting conceptual understanding (Model 1a) and overall mathematic...
*<p>Highest absolute coefficient values are highlighted of each rule. Note that a positive coefficie...
School grades are still used by universities and employers for selection purposes. Thus, identifying...
Hierarchical linear regression predicting conceptual understanding (Model 2a) and overall mathematic...
<p>(*) Indicates significant variable (p≤0.05) contributing to the best model.</p
In explanatory research, as opposed to exploratory research, data analysis is meant to shed light on...
g{E(yi)} = Xiβ where yi ∼ Exponential family 2. g is a known, smooth monotonic link function. 3. Xi...
<p>F<sub>ST</sub> was used as a response variable and Gaussian (identity) was used as a family (link...
Normal curve equivalent achievement gains estimates were compared with RMC Title I evaluation Models...