PSY201H5 Lecture Notes - Lecture 10: Confidence Interval, Test Statistic, Microsoft Powerpoint
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Independent-groups designs (between subjects: participants experience once condition. Within-groups designs (within-subjects: participants experience all conditions, matched pairs- participants experience one condition but are matched on one key variable. T(df)= df1 + df2: group 1 df1= n-1, group 2 df2= n2-1. Nine people are measured for anxiety on a 1 (low) to 10 (high) scale. They go through intervention for 8 weeks. They are measured for anxiety on the same scale after the interventions. Between one set of scores and another on the same variable. So this intervention led to a large change in anxiety. Estimate what the population difference might be. If we sampled many times, 95% of the intervals would contain the population difference. Going through a mindfulness course reduced anxiety by an average of. M= 2 points (sd= 2) the treatment effect was statistically significant, t(8)= 3. 00, p< 0. 05, 95% ci [ 0. 462, 3. 58], and this treatment effect was large, d= 1. 00.
