A researcher runs an independent-measures design for two treatment groups. The v

Question

A researcher runs an independent-measures design for two treatment groups. The variability within each group is high, so the researcher splits each group by the participant variable of gender and attempts to run a factorial design ANOVA. The variability within each group is still high. What can the researcher conclude?

a. There were no individual differences in the original treatment groups.

b. Gender was not an individual difference in the original treatment groups.

c. There is nothing that can be done to reduce the original variability in the treatment groups.

d. All of the above

Explanation / Answer

Answer is (b)

Since after splitting into two genders variability within each group is still high the difference was not due to gender

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