Master this deck with 23 terms through effective study methods.
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To predict variance in the dependent variable with few independent variables.
Multiple regression uses multiple independent variables for prediction.
Requires interval level measurement of the dependent variable.
Provides more accurate predictions of the dependent variable.
At least 10 participants per independent variable is acceptable.
To ensure valid and reliable results in statistical analysis.
A unique amount of variance in the dependent variable.
The most widely-used and powerful technique in psychology.
Variables must be normally distributed.
Occurs when independent variables are highly correlated.
Happens when two variables are perfectly correlated.
Strength of the relationship between DV and IVs.
Amount of variance in DV explained by IVs.
Accounts for the number of predictors in the model.
To answer basic research questions with less detail.
Variables entered based on statistical criteria.
Can inflate Type 1 error rate due to chance.
Conceptually-related predictors entered together.
To enter predictors in a specific logical order.
To predict DV variance with fewest predictors.
R² increases, but may not improve model reliability.
Determines if the model significantly predicts the DV.
By examining coefficients and conducting t tests.