Chapter 3: Correlational and Quasi-Experimental Designs Flashcards
These are used to establish relationships among pre-existing behaviors.
Correlational designs.
These are used to predict one set of behaviors from others.
Correlational designs.
The prefix “quasi” is Latin for?
“Seeming like.”
These often seem like real experiments but lack essential elements such as manipulation of antecedents or random assignment.
Quasi-experimental design.
True or False: Correlational designs and quasi-experimental designs tend to be higher in external validity or generalizability.
True.
This is designed to determine the correlation or degree of relationship between two traits, behaviors, or events.
Correlational study.
This refers to any observable behavior, characteristic, or event that can vary or have different values.
Variable.
This refers to the relationship between pairs of scores from each subject.
Simple correlations.
The most commonly used procedure for calculating simple correlations.
Pearson product-moment correlation coefficient.
The three (3) general outcomes in correlation.
- Positive relationship.
- Negative relationship.
- No relationship.
These refer to visual representations of the scores.
Scatterplot.
Lines drawn on the scatterplot that illustrate the mathematical equation that best describes the linear relationship between the two measured scores are known as?
Regression lines / lines of best fit.
Simple correlations use a _______ ______ _____, wherein the direction of the relationship between X and Y generally remains the same.
General linear model.
This is used when we want to predict the value of a variable based on the value of another variable.
Linear regression analysis.
The term for the variable we want to predict.
Dependent variable (DV).