Question

Obrzut, Hanson, And Heath (1982) classified 153 Hispanic children as poor visual processors on the basis of the Matching Familiar Test (MFFT). They then assigned the children to one of the three treatment groups. One group received tutoring in visual information processing, another group received small-group instruction with regular class materials, and the third group was a control group receiving no special treatment. the dependent variable was the child's score on a second administration of the MFFT. What is the appropriate analysis?

Answer 1

An analysis of variance (ANOVA) is the appropriate statistical test for determining if there are significant differences among the three groups' MFFT scores.

Step-by-step explanation:

The appropriate analysis for evaluating the effect of different treatments on the children's scores on a second administration of the Matching Familiar Figures Test (MFFT) is an analysis of variance (ANOVA). This is because there are three independent groups - the group receiving tutoring in visual information processing, the small-group instruction with regular class materials group, and the control group - and a continuous dependent variable, which is the score on the MFFT.

ANOVA will help determine if there are any statistically significant differences in the mean scores on the MFFT between the three groups. If significant differences are found, the researcher may conduct post hoc tests to find out which specific groups differ from each other.