statistical test) was conducted to determine the effects of (name of the IV) on (name of the DV). There was (not) a significant effect of IV on DV, F(df between, df within) = ?, p < (or >) 0.05, R2 = ?. Follow up Tukey Post
Researchers were interested in assessing the effects of a new treatment on seasonal affective disorder. Mood was assessed in all participants at three time-points: (1) pre-treatment (0 weeks), (2) after 2 weeks of treatment, and (3) after 4 weeks of treatment.
| Subject | 0 weeks | 2 weeks | 4 weeks | Mparticipant |
| 1 | 28 | 45 | 69 | 47.33 |
| 2 | 32 | 43 | 72 | 49 |
| 3 | 30 | 47 | 65 | 47.33 |
| 4 | 29 | 45 | 75 | 49.67 |
| 5 | 31 | 44 | 70 | 48.33 |
| M | 30 | 44.8 | 70.2 | GM = 48.33 |
Write a conclusion statement/paragraph. Make sure to include (1) the type of test, (2) IV, (3) DV, (4) F value, (5) df, (6) R2, (7) Tukey HSD test p values.
An example: A (name of the statistical test) was conducted to determine the effects of (name of the IV) on (name of the DV). There was (not) a significant effect of IV on DV, F(df between, df within) = ?, p < (or >) 0.05, R2 = ?. Follow up Tukey Post hoc tests indicate that IV_level1 resulted in greater (smaller) DV relative to IV_level2(p < .05) and IV_level3 (p < .05). No other comparisons were significant.
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