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Dr. Stanwyck has found a significant difference in the mean test scores of his two student groups. He has also found a significant interaction between their scores. He tested for significance on a second dependent variable, as well. Now he wants to make one more analysis based on the information he has obtained related to self-efficacy; the first dependent variable he tested. In pre-testing, he noticed that the college seniors in each group had higher average scores in self-efficacy than the college juniors in each group. Therefore, he now adjusts the groups' scores statistically to control for these initial differences before he compares his two test groups. What kind of test is he using?
Dependent Variables: Self-Efficacy and Score
Independent Variable: Age (Juniors or Seniors)
a. Factorial ANOVA
b. MANOVA
c. One-way ANOVA
d. ANCOVA
What is ANCOVA
Analysis of covariance (ANCOVA) is used when the influence of an independent variable or variables upon a dependent variable is statistically controlled
An ANOVA does NOT control the influence of an independent variable or variables on a dependent variable. It also cannot be used when you have more than one dependent variable. A MANOVA would work for this researcher's analysis of two dependent variables (self-efficacy and optimism), but would not control for the effect of grade level on self-efficacy the way the ANCOVA does