Question

Problem Set 2: The One-way ANOVA Research Scenario: A group of clinical psychologists conducts a randomized clinical trial examining paychosocial and pharmaceutical treatments, alone or in combination for Social Anxiety Disorder (SAD). Participants who have been diagnosed with SAD are randomly assigned to one of three treatment groups (n = 9 each): cognitive behavioral therapy (CBT). Paxil (a common SSRI prescribed to patients with SAD); and CBT + Paxil. The participants are assessed after 6 months of treatment using the Social Avoidance and Distress Scale (SADS; Watson and Friend, 1969), where higher scores indicate higher levels of social anxiety. Is there a difference in the effects of these three treatments on social anxiety outcomes? Using this table, enter the data into a new SPSS data file and run a one-way ANOVA to test whether there is a difference in social anxiety levels (as measured by the SADS) among the three groups. Create a boxplot to show the difference in SADS scores among the three groups CBT Pavil® CBT + Paxil 1. Paste SPSS output. pts) 2. Write an APA-style Results section based on your analysis. Include your boxplot as an APA-style figure as demonstrated in the APA writing presentation. (Results - 8 pts; Graph = pts) The One-way ANOVA Template Template: Results A one-way ANOVA was conducted to determine the effect of [Independent Variable (Level 1, Level 2, Level 3, ... for as many levels as there are] on [Dependent Variable). Figure 1 illustrates the [DV) across [levels of the IV). The results indicate a significant/not significant effect, [F(df twen, dfihin) = ##, p = ##, partial eta squared - ##]. (Include this next section only if results of ANOVA are significant: Post hoc tests were conducted using Tukey's HSD test. The comparisons revealed a significant difference between [Group X] (M = ##, SD = ##) and [Group Y] (M = ##, SD = ##), p = ##... etc. for each significant difference found.) We therefore reject/fail to reject] the null hypothesis that the different levels of the Independent Variable] have the same effect on the [Dependent Variable]. (Any more conclusions based on significant results can go here.)