What is the effect size? Interpret what this number means.
An industrial psychologist tests three different keyboard designs for a new computer to determine which one produces optimal performance. Four computer operators are given text material and told to type it as fast as they can. They spend 3 minutes on each keyboard with a 10-minute rest between each keyboard. The number of errors committed are recorded. The researcher wants to know if there is a significant difference in errors among the three types of keyboards (called Keyboard A, Keyboard B, and Keyboard C).
The one-way, repeated-measures ANOVA revealed that there was a significant difference in number of errors made based on the type of keyboard being used, F(2, 38) = 6.91, p = .003, ?p2 = 0.267. Bonferroni-corrected multiple comparisons revealed that more mistakes were made with Keyboard C (M = 6.00, SD = 2.18) than with Keyboard B (M = 4.00, SD = 2.05), p < .01. There was no difference between Keyboard A (M = 5.00, SD = 2.16) and Keyboard B, p = .59 or between Keyboard A and Keyboard C, p = .71.
Ans: .267, meaning that 26.7% of the variability in the number of errors made was accounted for by the type of keyboard used.
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