Types of Correlations and Quality of Evidence

These flashcards cover key concepts related to different types of correlations as well as elements that contribute to the quality of relational evidence.

Linear Correlation

Expresses the association or the relationship between two variables in the form of a straight line.

Bivariate Correlation

A correlation that emphasizes the relationship between two variables.

Pearson Correlation

A numeric to numeric correlation used when the level of measurement is interval or ratio.

Zero Order Correlation

A correlation that assesses the relationship between two variables without controlling for others.

Multivariate Linear Correlation

A correlation that examines the relationship between three or more variables simultaneously.

Non-Linear Correlation

Expresses the relationship between variables that does not fit a straight line.

Pearson's r

Summarizes the proportion of the expected average linear association between X and Y reflected in the empirical data.

Covariance

A measure of how much two random variables vary together.

Validity

The extent to which the results of a study are truthful and not due to chance.

Sensitivity

The probability that a diagnostic tool can correctly identify a condition.

Credibility

The diagnostic value of the tool indicating the likelihood of obtaining false positive or true positive results.

Precision

The degree to which repeated measurements under unchanged conditions show the same results.