Hierarchical linear regression predicting conceptual understanding (Model 1a) and overall mathematics achievement (Model 1b) by quantitative and domain-general skills.</p
Mathematical competencies can be conceptualized as layers of knowledge, with numeracy skills as the ...
<p>All models adjusted to age, educational level, HDL cholesterol, chronic kidney disease, type 2 di...
<p>Model 1: Adjusted for age, educational level, HDL cholesterol, chronic kidney disease, diabetes a...
Hierarchical linear regression predicting conceptual understanding (Model 2a) and overall mathematic...
Hierarchical linear models predicting students’ academic performance in Chinese, mathematics, and En...
<p>Summary of hierarchical regression models using covariates, group, task switching and interaction...
Hierarchical multivariate logistic regression of metacognitive skills by the presence of ED.</p
This study aimed to determine the predictive power of student and teacher characteristics on student...
<p>Hierarchical multiple regression model with spatial memory as a DV and individual differences, fr...
<p>Summary of the final step of hierarchical regression models predicting outcomes (science identity...
Linear regression analysis predicting scientist warmth and competence stereotypes.</p
The purpose of this study was to investigate the relationship between mathematics self-efficacy and ...
The purpose of this study was to investigate the relationship between mathematics self-efficacy and ...
Correlations between conceptual understanding and quantitative skills and domain-general skills.</p
<p>Note. IQ = Raven’s Standard Progressive Matrices (raw scores); MA = morphological awareness (incl...
Mathematical competencies can be conceptualized as layers of knowledge, with numeracy skills as the ...
<p>All models adjusted to age, educational level, HDL cholesterol, chronic kidney disease, type 2 di...
<p>Model 1: Adjusted for age, educational level, HDL cholesterol, chronic kidney disease, diabetes a...
Hierarchical linear regression predicting conceptual understanding (Model 2a) and overall mathematic...
Hierarchical linear models predicting students’ academic performance in Chinese, mathematics, and En...
<p>Summary of hierarchical regression models using covariates, group, task switching and interaction...
Hierarchical multivariate logistic regression of metacognitive skills by the presence of ED.</p
This study aimed to determine the predictive power of student and teacher characteristics on student...
<p>Hierarchical multiple regression model with spatial memory as a DV and individual differences, fr...
<p>Summary of the final step of hierarchical regression models predicting outcomes (science identity...
Linear regression analysis predicting scientist warmth and competence stereotypes.</p
The purpose of this study was to investigate the relationship between mathematics self-efficacy and ...
The purpose of this study was to investigate the relationship between mathematics self-efficacy and ...
Correlations between conceptual understanding and quantitative skills and domain-general skills.</p
<p>Note. IQ = Raven’s Standard Progressive Matrices (raw scores); MA = morphological awareness (incl...
Mathematical competencies can be conceptualized as layers of knowledge, with numeracy skills as the ...
<p>All models adjusted to age, educational level, HDL cholesterol, chronic kidney disease, type 2 di...
<p>Model 1: Adjusted for age, educational level, HDL cholesterol, chronic kidney disease, diabetes a...