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Confounding variable
An extraneous variable affecting the focal relationship.
Extraneous variable
A variable that influences the dependent variable.
Intervening variable
A variable that mediates the relationship between IV and DV.
Conditional variable
A variable that moderates the relationship between IV and DV.
Focal relationship
The primary relationship being studied, X to Y.
Bivariate table
Displays distribution of one variable across another.
Column variable
Variable represented in the columns of a bivariate table.
Row variable
Variable represented in the rows of a bivariate table.
Cell
Intersection of a row and column in a table.
Marginals
Totals for rows and columns in a bivariate table.
Independent variable
The variable manipulated to observe effects on DV.
Dependent variable
The outcome variable affected by the IV.
Positive relationship
Both variables increase or decrease together.
Negative relationship
One variable increases while the other decreases.
Elaboration
Exploring a bivariate relationship by introducing control variables.
Control variable
A third variable accounted for in a bivariate analysis.
Spurious relationship
Relationship explained by a third variable, not causal.
Partial tables
Show relationships while controlling for a third variable.
Intervening relationship
Control variable lies between IV and DV in causation.
Conditional relationship
Effect of IV on DV varies by control variable.
Interaction effect
Change in relationship due to interaction of variables.
Replication
Partial relationship mirrors original relationship in analysis.
Specification
Partial relationships differ significantly from each other.
Antecedent variable
A variable that precedes the focal relationship.
Health behavior
Actions taken that influence health outcomes.
Frequency table
Displays counts of occurrences for variable categories.
Causal sequence
Order of variables in a cause-effect relationship.
Sample size
Total number of observations in the study.