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Quasi-Experiment
resembles experiment but lacks manipulation of antecedent condition or random assignment to conditions
Quasi
it means seeming like
Antecedent Condition
it is the circumstances that occur or exist before the events or behavior to be explained.
Correlational Study
determine the degree of relationship between two variables.
Simple Correlation
the relationship between pairs of scores from each subject.
Pearson Product Moment Correlation Coefficient
most used procedure for calculating simple correlation
Scatterplots
graphic display of pairs of data points on the x and y axis.
Regression Line
also called line of best fit; this is the line drawn on the scatterplots.
Linearity
tells how relationship between x and y can be plotted as a line.
sign
refers to whether the correlation coefficient is positive or negative
Magnitude
the strength of the correlation coefficient
Probability
the likelihood of obtaining a correlation coefficient of this magnitude due to a chance.
Multiple Regression
used to analyze the relationship between a single dependent variable and several independent variables
Casual Modeling
creation and testing of models that suggest cause-and-effect relationship between behaviors.
Path Analysis
creates and test models of possible casual sequences using multiple regression
Cross-lagged panel design
it measures relationship over time and used to suggest casual path. Involves looking at two variables, X and Y, at two different times
Ex Post Facto Design
identifies previous events and present condition and investigate the data to see its correlation.
Nonequivalent Group Design
it compares the result of before and after the treatment. It involves pretest, treatment, and post test.
cross-sectional studies
subjects at different developmental stages are compared at the same point in time.
longitudinal design
same group of subject is measured at different points in time to determine effect of time on behavior.