CHAPTER 5: Correlation and Quasi - Experimental Design Flashcards
causing or producing the effect.
Causation
It is used to establish relationship among preexisting behavior. It can show the relationships between sets of antecedent conditions and behavior.
Correlational Design
It is a design that is used to determine the correlation, or degree of relationship, between two traits, behavior, or events.
Correlation Study
is any observable behavior, characteristics, or event that can vary or have different values.
Variable
It is the relationships between pairs of scores from each subject.
Simple Correlation
is the most commonly used procedures for calculating simple correlations.
Pearson Correlation Coefficient (r)
shows the scores on one variable plotted against scores on a second variable.
Scatterplot
it is the line that is drawn on the scatterplots and it measures scores. The direction of the line corresponds to the direction of relationship (positive or negative).
Regression Line (lines of best fit)
Correlation does not imply causation
even though a relationship exists between two measures, we cannot say that one causes the other, even when such statement is reasonable.
means a behavior could affect each other.
Bidirectional Causation
third agent may actually be causing to behaviors appear to be related.
Third Variable Problem
estimates the amount of variability scores on one variable that can be explained by the other variable.
Coefficient of Determination
determines the degree of relation between two variables.
Multiple Correlation
uses regression equation to predict scores on one variable from scores on the second correlated variable.
Linear Regression Analysis
uses regression equation on one variable from scores on sets of other variables.
- represents “R”
Multiple Regression