SPSS Homework One-Way ANOVA Assignment_NGold

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Psychology

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May 12, 2024

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SPSS H OMEWORK : O NE -W AY ANOVA A SSIGNMENT 1 CBT 2 Paxil ® 3 CBT + Paxil ® 16 18 25 20 21 16 19 19 17 25 18 14 12 23 19 27 12 12 14 25 18 16 20 13 1. Paste SPSS output. (10 pts) Descriptive Statistics Dependent Variable: SAD Score NRG Treatment Group NRG Mean Std. Deviation N CBT 19.25 2.915 8 Paxil 19.38 5.263 8 CBT + Paxil 16.25 4.559 8 Total 18.29 4.418 24 Problem Set 1: The One-way ANOVA 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 and run a one-way ANOVA to test whether there is a difference in SADS scores between the three treatments. Remember to put your initials within any and all variable names. Create a boxplot to show the difference between the groups. Follow the directions below the table to complete the homework.
Tests of Between-Subjects Effects Dependent Variable: SAD Score NRG Source Type III Sum of Squares df Mean Square F Sig. Partial Eta Squared Corrected Model 50.083 a 2 25.042 1.318 .289 .112 Intercept 8030.042 1 8030.042 422.766 <.001 .953 Treatment_Group_NRG 50.083 2 25.042 1.318 .289 .112 Error 398.875 21 18.994 Total 8479.000 24 Corrected Total 448.958 23 a. R Squared = .112 (Adjusted R Squared = .027) Treatment Group NRG Dependent Variable: SAD Score NRG Treatment Group NRG Mean Std. Error 95% Confidence Interval Lower Bound Upper Bound CBT 19.250 1.541 16.046 22.454 Paxil 19.375 1.541 16.171 22.579 CBT + Paxil 16.250 1.541 13.046 19.454 Multiple Comparisons Dependent Variable: SAD Score NRG (I) Treatment Group NRG (J) Treatment Group NRG Mean Difference (I-J) Std. Error Sig. 95% Confidence Interval Lower Bound Upper Bound Tukey HSD CBT Paxil -.12 2.179 .998 -5.62 5.37 CBT + Paxil 3.00 2.179 .371 -2.49 8.49 Paxil CBT .13 2.179 .998 -5.37 5.62 CBT + Paxil 3.13 2.179 .342 -2.37 8.62 CBT + Paxil CBT -3.00 2.179 .371 -8.49 2.49 Paxil -3.13 2.179 .342 -8.62 2.37 Scheffe CBT Paxil -.12 2.179 .998 -5.86 5.61 CBT + Paxil 3.00 2.179 .404 -2.74 8.74 Paxil CBT .13 2.179 .998 -5.61 5.86 CBT + Paxil 3.13 2.179 .375 -2.61 8.86 CBT + Paxil CBT -3.00 2.179 .404 -8.74 2.74 Paxil -3.13 2.179 .375 -8.86 2.61
Based on observed means. The error term is Mean Square(Error) = 18.994. 2. Write an APA-style Results section based on your analysis. Include your boxplot as an APA-style Figure, with figure number and title, as demonstrated in the Results Section presentation. (Results = 12 pts; Figure = 8 pts) Results A one-way ANOVA was conducted to determine the effect of treatments (CBT only, Paxil only, and CBT + Paxil combination) on the SAD scores of participants as measured on an inventory where higher scores indicate higher levels of social anxiety. Figure 1 illustrates the SAD scores of the three different treatments. The results indicate a non-significant effect, F(2, 21) = 1.318, p = .289, partial eta squared = .112. We therefore fail to reject the null hypothesis that the different treatments have the same effect on the SAD scores of the participants. Figure 1 SAD Scores for Participants Treated with Three Different Treatments
1 9 months 2 12 months 3 15 months 8 3 4 6 5 4 9 2 0 1 10 5 6 7 6 5 10 3 10 8 9 9 8 7 9 10 6 9 1. Paste SPSS output. (10 pts) Descriptive Statistics Dependent Variable: Object Permanence Score NRG Age Group NRG Mean Std. Deviation N 9 Months 4.20 2.898 10 12 Months 6.50 2.449 8 15 Months 8.50 1.269 10 Total 6.39 2.885 28 Problem Set 2: The One-way ANOVA Research Scenario: A developmental psychologist is studying the progression of object permanence (the understanding that an object still exists even if it’s out of sight). She tests three groups of infants – ten who are 9 months old, eight who are 12 months old, and ten who are 15 months old. She presents each of the infants with 10 trials. On each trial, a toy is first shown to the child and then covered with a piece of cloth. The infant demonstrates object permanence if he or she continues to look for the object while it is still covered. Each infant is given a score for the number of trials (out of 10) on which he or she shows object permanence. Is there a significant difference between the groups on demonstrations of object permanence? 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 object permanence scores among the three age groups. Remember to put your initials within any and all variable names. Create a boxplot to show the difference between the groups. Follow the directions below the table to complete the homework.
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