EBP
- A. B. C. D. E. F. G. H. I. J.	Meta-analysis
- A. B. C. D. E. F. G. H. I. J.	Regression line
- A. B. C. D. E. F. G. H. I. J.	Structural Equation Modeling
- A. B. C. D. E. F. G. H. I. J.	Factorial ANOVA
- A. B. C. D. E. F. G. H. I. J.	Repeated measures ANOVA
- A. B. C. D. E. F. G. H. I. J.	Chi-Square
- A. B. C. D. E. F. G. H. I. J.	independent t-test
- A. B. C. D. E. F. G. H. I. J.	ANOVA
- A. B. C. D. E. F. G. H. I. J.	ANCOVA

A.	Compares threeor more groups on an outcome variable,butit allows for the removal of the influence of an extraneous variable
B.	2 X 2 X 2(the researcher examines two or more categorical,independent variables,each examined at two or more levels)
C.	One of the most common methods for finding patterns in research where authors integrate the findings of primary sources or research studies
D.	Evidence Based Practice
E.	Compares adependent variable over several different observations to see if there are changes (all participants in a single group participate in all experimental treatments.Each group becomes its own control.)
F.	Compares two groups on an outcome variable
G.	Looks at relationships between categorical variables (e.g.,whether smokers and non-smokers differ in terms of their parents' marital status)
H.	The best fit for all scores on a graph (portrays how an exploratoryvariable relates to adependentvariable)
I.	Method of modeling information about which variables affect other variables and the direction of these effects
J.	Compares three or more groups on an outcome variable