Add to ORKGA bootstrap test was created to measure the significance of a partial or semi-partial correlation equaling its zero order correlation. This was implemented in R and accepted by CRAN as an open source package named zeroEQpart, which can be accessed by external researchers. In addition to a hypothesis test, the functionality of the R package was extended to include confidence intervals for the parameter (zero order minus partial). The test was administered retrospectively on an honours psychology thesis to analyze the effect of metacognitions on chronic pain and health anxiety. Faculty Mentor: Karen Buro and Wanhua Su Department: Mathematics and Statistics  
<p>Zero-order correlations, descriptive statistics among all variables (<i>N</i> = 898).</p
Theory development is essential for the generation and support of research ideas. Traditional Null H...
Zero-order correlations between levels of distress in the different experimental conditions (baselin...
Researchers often examine whether two continuous variables (X and Y) are linearly related. Pearson’s...
Correlational techniques are important tools in multivariate behavioural and social science explora...
In this paper we present a new implication of the unidimensional factor model. We prove that the par...
A novel presentation of rank and permutation tests, with accessible guidance to applications in R. N...
Research shows good probability coverage using analytic confidence intervals (CIs) for Spearman’s rh...
<p>Zero-order correlations between L2 proficiency and experiential measures (Proficiency Test Score,...
<div><p>A valid comparison of the magnitude of two correlations requires researchers to directly con...
A Monte Carlo simulation study compared four bootstrapping procedures in generating confidence inter...
Research shows good probability coverage using analytic confidence intervals (CIs) for Spearman’s rh...
A Monte Carlo simulation study compared four bootstrapping procedures in generating confidence inter...
Study 4: Descriptive statistics, zero-order (below diagonal), and partial (above diagonal) correlati...
Zero-order correlations between levels of distress in the different experimental conditions (baselin...
<p>Zero-order correlations, descriptive statistics among all variables (<i>N</i> = 898).</p
Theory development is essential for the generation and support of research ideas. Traditional Null H...
Zero-order correlations between levels of distress in the different experimental conditions (baselin...
Researchers often examine whether two continuous variables (X and Y) are linearly related. Pearson’s...
Correlational techniques are important tools in multivariate behavioural and social science explora...
In this paper we present a new implication of the unidimensional factor model. We prove that the par...
A novel presentation of rank and permutation tests, with accessible guidance to applications in R. N...
Research shows good probability coverage using analytic confidence intervals (CIs) for Spearman’s rh...
<p>Zero-order correlations between L2 proficiency and experiential measures (Proficiency Test Score,...
<div><p>A valid comparison of the magnitude of two correlations requires researchers to directly con...
A Monte Carlo simulation study compared four bootstrapping procedures in generating confidence inter...
Research shows good probability coverage using analytic confidence intervals (CIs) for Spearman’s rh...
A Monte Carlo simulation study compared four bootstrapping procedures in generating confidence inter...
Study 4: Descriptive statistics, zero-order (below diagonal), and partial (above diagonal) correlati...
Zero-order correlations between levels of distress in the different experimental conditions (baselin...
<p>Zero-order correlations, descriptive statistics among all variables (<i>N</i> = 898).</p
Theory development is essential for the generation and support of research ideas. Traditional Null H...
Zero-order correlations between levels of distress in the different experimental conditions (baselin...