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Two way anova- assignment
Math Problem Instructions:
SPSS HOMEWORK: 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. You will be completing two 2-
way ANOVA analyses in SPSS, using data that are related to specific research scenarios in the
behavioral sciences, such as psychology, social work, and counseling. You will also be
completing one Cumulative Knowledge Question that will use an analysis learned in a previous
week. Behind the scenes knowledge of how this test is conducted is fundamental to being able to
understand and apply research in your related field to your practice. Additionally, SPSS skills are
professionally valuable, as it is one of the most commonly used statistical software packages in
behavioral science settings, both academic and professional.
INSTRUCTIONS
This assignment includes three problem sets that contain research scenarios and related
questions.
For each scenario, you will run an analysis in SPSS. The required product will include
the SPSS output, an APA-style Results section describing the results, and the appropriate
graph inserted as a Figure in APA style.
For each scenario, you will create a new SPSS data file with the data from the problem
scenario. ALL variable names in your SPSS data files must include your initials, so that
they show up in your SPSS output and graph. For example, for someone with the initials
ABC creating a variable of memory scores, the variable could be named
“ABC_mem_scores” or “Mem_Scores_ABC”, etc.
For all problems, interpret results based on an alpha level of = .05.
Please review the Watch: SPSS Homework Tutorial: The Two-way ANOVA Part 1-
Running the test and Watch: SPSS Homework Tutorial: The Two-way ANOVA Part 2-
Interpreting Output and Graphing in this module for directions on how to run the statistical
test, as well as the Watch: Results Sections for the Two-factor ANOVA for Independent
Measures in APA Style, which includes a template for completing the APA-style Results
sections for the two-way independent-measures ANOVA. The scenarios begin on the next page.
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Math Problem Sample Content Preview:
The Two-factor ANOVA for Independent Measures and Cumulative Knowledge Question
Student Name
Institution
Professor Name
Course
Date
The Two-factor ANOVA for Independent Measures and Cumulative Knowledge Question
Problem Set 1: The Two-Factor ANOVA for Independent MeasuresResearch Scenario: In response to media reports of violence on college campuses, a psychologist who works at a local community college decides to study students’ perceptions of campus safety. He hopes to use these results to help develop an on-campus violence prevention program. The administration has asked him additionally to look at whether perceptions of safety differ depending on students’ year in school and gender. The psychologist administers a questionnaire with possible scores ranging from 1-70, with higher scores indicating higher perceptions of safety on campus, and lower scores indicating perceptions that the campus is less safe. The data are displayed in the table below.Conduct a two-way ANOVA to determine the effect of gender and year in school on perceptions of campus safety. Remember to put your initials within any and all variable names. Create a multiple line graph to display the differences between the groups. Follow the directions below the table to complete the homework.Problem Set 1: The Two-Factor ANOVA for Independent MeasuresResearch Scenario: In response to media reports of violence on college campuses, a psychologist who works at a local community college decides to study students’ perceptions of campus safety. He hopes to use these results to help develop an on-campus violence prevention program. The administration has asked him additionally to look at whether perceptions of safety differ depending on students’ year in school and gender. The psychologist administers a questionnaire with possible scores ranging from 1-70, with higher scores indicating higher perceptions of safety on campus, and lower scores indicating perceptions that the campus is less safe. The data are displayed in the table below.Conduct a two-way ANOVA to determine the effect of gender and year in school on perceptions of campus safety. Remember to put your initials within any and all variable names. Create a multiple line graph to display the differences between the groups. Follow the directions below the table to complete the homework.
Male
Freshmen
Sophomore
Junior
Senior
39
66
54
66
60
44
32
62
59
29
63
67
46
51
41
45
53
68
57
60
Female
51
46
45
57
32
32
21
30
49
53
56
52
60
47
59
61
55
42
58
61
1 Paste SPSS output. (10 pts)
Tests of Between-Subjects Effects
Dependent Variable:TJP_perceptions of safety on campus score
Source
Type III Sum of Squares
df
Mean Square
F
Sig.
Partial Eta Squared
Corrected Model
1799.975a
7
257.139
2.266
.054
.331
Intercept
102921.025
1
102921.025
906.793
.000
.966
SYiS
1333.075
3
444.358
3.915
.017
.268
Gender
225.625
1
225.625
1.988
.168
.058
SYiS * Gender
241.275
3
80.425
.709
.554
.062
Error
3632.000
32
113.500
Total
108353.000
40
Corrected Total
5431.975
39
a. R Squared = .331 (Adjusted R Squared = .185)
Pairwise Comparisons
Dependent Variable:TJP_perceptions of safety on campus score
(I) TJP_students’ year in school
(J) TJP_students’ year in school
Mean Difference (I-J)
Std. Error
Sig.a
95% Confidence Interval for Differencea
Lower Bound
Upper Bound
Freshmen
Sophomore
10.500*
4.764
.035
.795
20.205
Junior
-2.600
4.764
.589
-12.305
7.105
Senior
-4.400
4.764
.363
-14.105
5.305
Sophomore
Freshmen
-10.500*
4.764
.035
-20.205
-.795
Junior
-13.100*
4.764
.010
-22.805
-3.395
Senior
-14.900*
4.764
.004
-24.605
-5.195
Junior
Freshmen
2.600
4.764
.589
-7.105
12.305
Sophomore
13.100*
4.764
.010
3.395
22.805
Senior
-1.800
4.764
.708
-11.505
7.905
Senior
Freshmen
4.400
4.764
.363
-5.305
14.105
Sophomore
14.900*
4.764
.004
5.195
24.605
Junior
1.800
4.764
.708
-7.905
11.505
Based on estimated marginal means
*. The mean difference is significant at the .05 level.
a. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments).
Descriptive Statistics
Dependent Variable:TJP_perceptions of safety on campus score
TJP_students’ year in school
TJP_students’ gender
Mean
Std. Deviation
N
Freshmen
Male
57.00
11.225
5
Female
46.20
9.257
5
Total
51.60
11.247
10
Sophomore
Male
45.20
15.090
5
Female
37.00
13.509
5
Total
41.10
14.177
10
Junior
Male
53.60
11.082
5
Female
54.80
5.357
5
Total
54.20
8.230
10
Senior
Male
56.60
8.503
5
Female
55.40
7.893
5
Total
56.00
7.760
10
Total
Male
53.10
11.801
20
Female
48.35
11.609
20
Total
50.73
11.802
40
2 Write an APA-style Results section based on your analysis. Include your multiple line graph as an APA-style Figure, with figure number and title, as demonstrated in the Results Section presentation. (Results = 12 pts; Figure = 8 pts)
Results
The Effect of Gender and Year in School on Perceptions of Campus Safety
From the two-way ANOVA tests of between-subjects effects’ table above, p = 0.554. This value is more than 0.05 significance level, suggesting no significant interaction exists between the impact of gender and students’ year in school on perceptions of campus safety. From the descriptive statistics table, males have higher perceptions of safety on campus than females w...
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