For SPSS Homework 5, you have four major steps for the problem set: the spreadsheet, the factorial ANOVA, the Excel line graph, and the APA write up. Make sure you complete each step for the problem set.

For this assignment, conduct a factorial analysis of variance (ANOVA) for the problem set. For all inferential tests, use a two-tailed test with a 0.05 alpha level.

When completing the homework assignment, please copy and paste your SPSS output into Microsoft Wordin order. That is, you should copy and paste the SPSS output for Question 1, then Question 2.

Step 1: SPSS spreadsheet

1. Put the data into SPSS (data view)
   • You will need one column per combination of IVA levels by IVB levels (i.e., if IVA had 3 levels and IVB had 2 levels then you would have 6 columns) with the dependent variable (SCORES) in the rows.
2. Variable view
   • name the variables
   • label the variables
   • set the number of decimal places to match the data
   • set the measure correctly
3. Use the snipping tool to paste Variable View & Data View into Microsoft Word

Step 2: SPSS Factorial ANOVA

1. Run the analysis of variance for repeated measures (including partial eta squared as the measure of effect size, estimated marginal means, and the descriptive statistics).
   • Note:no post hoc tests will be required because we will only be dealing with 2 x 2 designs.
2. Tips when analyzing (after data is already input into SPSS) the data (these will be confusing until you watch the video)
   • You will name and identify the number of levels for each IV that is a repeated measure/within independent variable.
   • Ensure that you move the variables from the left window into the Within-Subjects Variables box in the correct order. SPSS will run even if you do this step incorrectly, but your output will all be wrong. Pay attention to the words in parentheses just above the window you are moving the levels into. Then look at the numbers in parentheses in the window [e.g. (1,1)]. That represents level 1 of IVA and level 1 of IVB. You have to ensure you get the correct levels inline when you move them into the Within-Subjects Variables box.
   • Depending on the version of SPSS you are using some of the required boxes to check shown in the videos linked under content will be under different tabs than the video shows. For example, the Descriptive Statistics and Effect Size tables in some versions are under Options and in newer versions under EM Means. All the options are there, but SPSS moves them around a bit depending on the version.
3. Use the snipping tool/export from SPSS the appropriate tablesinto Microsoft Word.

Step 3: Excel Line Graph

1. Using Microsoft Excel, create a line graph of the dependent variable means by level of independent variable. For the graph, you are using the Interaction mean, and sd for the four groups (IVA levels by IVB levels) are in the Descriptive Statistics table in row with level names.
   • The description below the video showing how to graph explains where the data is at in your output that you will use to make the graph.
   • Y-axis starts at 0.
   • Title both the x & y-axis based on the scenario.
   • You should not have a title above the graph.
   • Include a legend.
   • You do not have to include error bars.
2. Copy the line graph into Microsoft Word

Step 4: APA write up

1. APA format factorial ANOVA write up for the problem set, written in Microsoft Word.

Problem Set

A counseling psychologist is interested in the effects of type of therapy (individual vs group) and over time (before therapy type vs after therapy type) reduces the number of cigarette packs smoked per month in young smokers diagnosed with major depression (N=28). Participants were recruited via a flyer at local mental health providers offices that was looking for participants that had been diagnosed with major depression that were cigarette smokers and were willing to participate for seven months.

The counseling psychologist randomly assigned half the participants (n=14) to attend individual therapy once a week for three months then to attend group therapy once a week for three months. The other half of the participants (n=14) were assigned to attend group therapy once a week for three months then to attend individual therapy once a week for three months. Assigning half the participants to go to individual then group and then other half to group then individual therapy type reduces bias.

The counseling psychologist asked all participants for the month before starting therapy to record for the number of cigarette packs smoked. The participants then reported the number of cigarette packs they smoked at the end of each month while attending therapy over the next six months. The researcher used the reported number of cigarette packs smoked at the end of the first month before starting therapy, at the end of the third month of their first type of therapy, and at the end of the sixth month, which is the end of their second type of therapy. The number of cigarette packs smoked at the end of the three months of their first type of therapy was also used as their packs smoked before starting their second type of therapy. This means that the same score is shown and used twice in the analysis for each participant.

The research question: "What are the effects of type of therapy and time on the number of cigarette packs smoked per month in young adult smokers who have been diagnosed with major depression?"

Hint: You will need ONE column per combination of IVA levels by IVB levels (i.e., if IVA had 3 levels and IVB had 2 levels then you would have 6 columns) with the dependent variable (SCORES) in the rows.

Participant#	IndTherapy Before	IndTherapy After	GrpTherapy Before	GrpTherapy After
1	28	27	27	10
2	13	13	13	8
3	14	13	13	5
4	17	15	15	10
5	12	10	10	4
6	10	8	8	7
7	14	14	14	10
8	28	25	25	15
9	14	13	13	4
10	14	14	14	6
11	15	12	12	10
12	25	20	20	5
13	20	20	20	15
14	8	16	16	8
15	6	8	19	6
16	10	7	25	10
17	12	11	16	12
18	5	2	11	5
19	10	7	12	10
20	10	8	26	10
21	14	12	15	14
22	5	3	11	5
23	14	10	20	14
24	8	5	15	8
25	6	3	17	6
26	11	7	12	11
27	22	20	30	22
28	9	6	17	9