Steps to Complete for the Problem SetStep 1: SPSS spreadsheetPut the data into SPSS (data view) NOTE: you can’t enter the data as it appears below. You have to do something to make the data work in the SPSS analysis.Variable viewname the variableslabel the variablesset the number of decimal places to match the dataset the measure correctlyUse the snipping tool to paste Variable View & Data View into Microsoft WordStep 2: SPSS Factorial ANOVARun the analysis of variance, including descriptive statistics and partial eta squared as the estimate of effect size.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. All the options are there but SPSS moves them around a bit depending on the version. For example, to get the Grand Mean, Descriptive Statistics, and Effect Size tables in some versions it is under Options and newer versions under EM Means.Do ensure you have the same tables in the output that are shown in the video. If you do not then you missed something.Note: no post hoc tests will be required because we will only be dealing with 2 x 2 designs.Copy the entire output into Microsoft Word.Step 3: Excel Line GraphUsing 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.Copy the line graph into Microsoft WordStep 4: APA write upAPA format factorial ANOVA write up for the problem set, written in Microsoft Word.Problem SetA researcher is interested in the effects of therapy and major depression on the number of cigarette packs smoked per month in young adult smokers. Participants were recruited via a newspaper advertisement looking for 24 participants that had been diagnosed with major depression and 24 participants that had not been diagnosed with major depression.The researcher randomly assigned half the participants from the two major depression groups [presence major depression (n = 12) & absence major depression (n = 12)] to attend group therapy once a week for 6 months. The other half of the participants from the two major depression groups [presence major depression (n = 12) & absence major depression (n = 12)] were assigned to attend individual therapy once a week for 6 months.The researcher asked all participants to report the number of cigarette packs they smoked each month. The researcher only used in the below data the number of cigarette packs smoked for the 6 month, which was the last month of therapy for all participants. The research question: “What are the effects of type of therapy (individual or group) and diagnosis of major depression (presence or absence) on the number of cigarette packs smoked per month by young adult smokers?”Hint: You will need ONE column for each independent variable and one column for the dependent variable (SCORES).PresenceMDepIndTherapyPresenceMDepGrpTherapyAbsenceMDepGrpTherapyAbsenceMDepIndTherapy815302015510125910851010712498610125108759113598451010714146522Due DateSep 26, 2022 9:00 AMHide RubricsRubric Name: SPSS HW 4SPSSCorrect2 pointsErrors1 pointIncorrect0 pointsCriterion ScoreData & Variable View – 3 columns: IV, IV, DV Variable Name Label Decimals MeasureScore of Data & Variable View – 3 columns: IV, IV, DV Variable Name Label Decimals Measure,/ 2SPSS OutputCorrect6 points1 error5 points2 errors4 points3 errors3 pointsIncorrect0 pointsCriterion ScoreOutput – Factors Table (1pt), Descriptive Statistics (2pts), Between-Subjects Effects Table (1pt), Partial Eta Sq. (1pt), Grand Mean (1pt)Score of Output – Factors Table (1pt), Descriptive Statistics (2pts), Between-Subjects Effects Table (1pt), Partial Eta Sq. (1pt), Grand Mean (1pt),/ 6GraphCorrect6 pointsError5.5 pointsErrors5 pointsSome Errors4.5 pointsMany Errors4 pointsIncorrect0 pointsCriterion ScoreExcel Line Graph: correct means used (1 pt) should have no title above it (1pt) x & y axis titled (2pts) legend need similar descriptive titles related to scenario (1pt) y axis starts a 0 (1 pt)Score of Excel Line Graph: correct means used (1 pt) should have no title above it (1pt) x & y axis titled (2pts) legend need similar descriptive titles related to scenario (1pt) y axis starts a 0 (1 pt),/ 6DesignCorrect4 points1 Error3 points2 Errors2 points3 Errors1 pointIncorrect0 pointsCriterion ScoreDesign sentence: 1 pt for analysis identified 1 pt for mean DV 1 pt for each IV including levelsScore of Design sentence: 1 pt for analysis identified 1 pt for mean DV 1 pt for each IV including levels,/ 4Statistical Write UpCorrect6 pointsSome Errors5 pointsErrors4 pointsMany Errors3 pointsIncorrect0 pointsCriterion ScoreMain Effect – 2 for sig 1 for df 1 for F 1 for p 1 for partial eta sq.Score of Main Effect – 2 for sig 1 for df 1 for F 1 for p 1 for partial eta sq.,/ 6Main Effect – 2 for sig 1 for df 1 for F 1 for p 1 for partial eta sq.Score of Main Effect – 2 for sig 1 for df 1 for F 1 for p 1 for partial eta sq.,/ 6Interaction – 2 for sig 1 for df 1 for F 1 for p 1 for partial eta sq.Score of Interaction – 2 for sig 1 for df 1 for F 1 for p 1 for partial eta sq.,/ 6InterpretationCorrect3 pointsSome Errors1.5 pointsIncorrect0 pointsCriterion ScoreMain Effect Interpretation – 1 mean & sd for IV1 1 mean & sd for IV2 1 direction of differenceScore of Main Effect Interpretation – 1 mean & sd for IV1 1 mean & sd for IV2 1 direction of difference,/ 3Main Effect Interpretation: 1 mean & sd for IV1 1 mean & sd for IV2 1 direction of differenceScore of Main Effect Interpretation: 1 mean & sd for IV1 1 mean & sd for IV2 1 direction of difference,/ 3InterpretationCorrect8 pointsSome Errors4 pointsIncorrect0 pointsCriterion ScoreInteraction interpretation: 1 pt for each of the 4 mean & sd 1 pt for each of 4 direction of differenceScore of Interaction interpretation: 1 pt for each of the 4 mean & sd 1 pt for each of 4 direction of difference,/ 8TotalScore of SPSS HW 4,/ 50Overall ScoreLevel 411 points minimumLevel 38 points minimumLevel 25 points minimumLevel 10 points minimum

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