Bivariate Correlational Research

These flashcards cover essential terms and definitions related to bivariate correlational research as discussed in the lecture.

Bivariate Correlations

Associations between exactly two variables, which can be quantitative or qualitative.

Mean

A key statistical measure that represents the arithmetic average.

Construct Validity

Evaluates how well each variable was measured in a study.

Statistical Validity

Measures how well data supports a conclusion, focusing on strength and precision of relationships.

Effect Size

Indicates the strength of an association, with larger effect sizes denoting more significant results.

Internal Validity

Investigates if causal inferences can be made from associations in research.

External Validity

Concerns the generalizability of study findings to broader contexts.

Curvilinear Associations

Refers to relationships where the association between variables is not linear.

Outliers

Data points that differ significantly from other observations and can skew understanding of relationships.

Replication of Findings

The importance of replicating results across multiple studies to solidify research findings.