For your discussion this week, I want you to consider the scenario below and post one thing that jumps out to you about the results and WHY it jumps out at you. A developmental psychologist who wanted to see if children who started walking earlier performed better in the school divided 30 children into 3 groups: early walkers, middle walkers, and late walkers. At the end of second grade, the psychologist computed a composite school performance score based on teachers' reports. Here is the data: Early walkers: M=2.94 (SD=.61) Middle walkers: M=2.84 (SD=.70) Late walkers: M=2.77 (SD=.64) The psychologist ran an ANOVA and found that F(2,27) = .86. What jumps out at you about these results? Were these significant findings? Can you tell just by comparing the means? What number here tells you if there is the significance? Note: You're not working anything out; you're just looking at the output I have provided.
For your discussion this week, I want you to consider the scenario below and post one thing that jumps out to you about the results and WHY it jumps out at you.
A developmental psychologist who wanted to see if children who started walking earlier performed better in the school divided 30 children into 3 groups: early walkers, middle walkers, and late walkers. At the end of second grade, the psychologist computed a composite school performance score based on teachers' reports. Here is the data:
Early walkers: M=2.94 (SD=.61)
Middle walkers: M=2.84 (SD=.70)
Late walkers: M=2.77 (SD=.64)
The psychologist ran an ANOVA and found that F(2,27) = .86.
What jumps out at you about these results? Were these significant findings? Can you tell just by comparing the means? What number here tells you if there is the significance?
Note: You're not working anything out; you're just looking at the output I have provided.
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