SPSS: Two-Way ANOVA Assignment Instructions Overview This assignment is designed to increase your statistical literacy and proficiency in conducting and interpreting the two-way independent-measures ANOVA

Problem Set 1: The Two-Factor ANOVA for Independent Measures

Research Scenario: In response to recent Gallup and Pew Center polls of Americans’ trust in their political leaders (http://www.gallup.com/poll/195716/americans-trust-political-leaders-public-new-lows.aspx; http://www.people-press.org/2014/11/13/public-trust-in-government/), a social psychologist decides to study people’s trust in politicians among different political parties and regions in his state. The psychologist administers a scale-level questionnaire with possible scores ranging from 1-50, with higher scores indicating higher trust in politicians, and lower scores indicating lower trust. The data from this scale-level questionnaire are shown in the table below.

Conduct a two-way ANOVA to determine the effect of political party and region on trust in politicians. Create a multiple line graph to display the differences between the groups. Follow the directions below the table to complete the homework.

Problem Set 2: The Two-factor ANOVA for Independent Measures

Research Scenario: A group of clinical psychologists sets up a treatment study to look at the effects of treatment type and treatment setting (community clinic or university clinic) on symptom severity in a sample of patients with diagnosed Major Depressive Disorder. They recruit 12 participants from each type of clinic, and divide them further into two groups, one of which receives cognitive-behavioral therapy (CBT) and one of which receives psychodynamic (PD) therapy. The psychologists measure depressive symptomology using the Beck Depression Inventory (Beck et al., 1961), and scores can range from 0 to 62. Their results are in the table below.

Using this table, enter the data into a new SPSS data file and run a two-way ANOVA to test whether there is an effect of clinic type and/or treatment type on BDI scores. Create a multiple line graph to display the differences between the groups. Follow the directions below the table to complete the homework.

Problem Set 3: Cumulative Knowledge Question

Research Scenario: A group of clinical psychologists conducts a randomized clinical trial examining psychosocial 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: 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. Their SADS scores are in the table below.

Using this table, enter the data into a new SPSS data file. Choose the correct analysis (it will be one learned in a previous module) to determine whether there is a difference in SADS scores between the three treatments. Follow the directions below the table to complete this part.