Please answer #2 This assignment will involve using SPSS to answer a number of r
ID: 2947530 • Letter: P
Question
Please answer #2
This assignment will involve using SPSS to answer a number of research questions using the data set that is attached. To answer the questions below you will run a one-way ANOVA, a two- way ANOVA, as well as bivariate correlations, and linear regression. The data come from a fictional study of the stress experienced by All But Dissertation (ABD) students in graduate sch ools. Some of the regularly experienced stressors are work overload, writer's block, and with these issues. Data Summary: A sample of subset of 36 participants was selected for this exercise. 1. Days. The number of days between noticing a symptom and seeking assistance 2. Self-Esteem Measured with the Wellness Worksheet, a fifty-eight item inventory, with separation anxiety. Universities usufychological counseling as one way of dealing subscales that read: Like me, and Unlike me. Higher scores mean greater self-esteem 3. Age. Measured in years. 4. Status. Add value labels: 0-Non-immigrant, 1-First generation immigrant, 2- Second generation immigrant 5. Major. Add value labels: 1 = Education, 2-counseling Psychology, 3-clinical Psychology Your tasks 1. Enter the data and add value labels for status and major. Check the data - under Descriptives run crosstabs - status by major and report your results. Check the distribution of the DV "days. The mean for days should 100.58, s-34.439. Is the data skewed? If so, what is the direction of the skew? 2. Then, use one-way ANOVA to test whether Major has any significant effects on the students delay in seeking counseling. Under options include Descriptives and use a Tukey post hoc test to compare groups, if the F-test is significant. Provide a written description of the ANOVA results, including the post-hoc tests 3. Next, do a two-way ANOVA to test whether effects of major on days before seeking counseling differ between immigrant groups. Under options choose display means for major, and make a plot (with major on X, and immigrant groups as separate lines). Again use Tukey st hoc tests when F's are significant. Write a complete summary of the ANOVA results pos which effects are significant and what does the pattern of means indicate? 4. Test whether days before counseling is correlated with age, and self-esteem simple language, what these three correlations mean (the direction of the relatio describe whether the correlations are significant. (What does significant mean here significantly different than what?) Describe, in 5. Run two linear regressions (under stats choose estimates & model fit), first with da dependent variable and age as the predictor. Then run it a second time adding self-esteem score (along with age) as predictors of delay. [The second example is called multiple ys as theExplanation / Answer
Result:
SPSS syntax
ONEWAY days BY Major
/STATISTICS DESCRIPTIVES
/MISSING ANALYSIS
/POSTHOC=TUKEY ALPHA(0.05).
SPSS OUTPUT
Descriptives
days
N
Mean
Std. Deviation
Std. Error
95% Confidence Interval for Mean
Minimum
Maximum
Lower Bound
Upper Bound
Education
14
120.7143
32.77764
8.76019
101.7890
139.6395
56.00
173.00
Counselling Psychology
12
90.8333
37.18708
10.73498
67.2058
114.4609
54.00
200.00
Clinical psychology
10
84.1000
17.64747
5.58062
71.4758
96.7242
58.00
118.00
Total
36
100.5833
34.43949
5.73992
88.9307
112.2360
54.00
200.00
ANOVA
days
Sum of Squares
df
Mean Square
F
Sig.
Between Groups
9531.326
2
4765.663
4.917
0.014
Within Groups
31981.424
33
969.134
Total
41512.750
35
Calculated F=4.917, P=0.014 which is < 0.05 level of significance.
Major has significant effect on days.
Multiple Comparisons
Dependent Variable: days
Tukey HSD
(I) Major
(J) Major
Mean Difference (I-J)
Std. Error
Sig.
95% Confidence Interval
Lower Bound
Upper Bound
Education
Counselling Psychology
29.88095
12.24684
0.052
-0.1703
59.9322
Clinical psychology
36.61429*
12.88942
0.020
4.9863
68.2423
Counselling Psychology
Education
-29.88095
12.24684
0.052
-59.9322
0.1703
Clinical psychology
6.73333
13.32946
0.869
-25.9744
39.4411
Clinical psychology
Education
-36.61429*
12.88942
0.020
-68.2423
-4.9863
Counselling Psychology
-6.73333
13.32946
0.869
-39.4411
25.9744
*. The mean difference is significant at the 0.05 level.
days
Tukey HSDa,b
Major
N
Subset for alpha = 0.05
1
2
Clinical psychology
10
84.1000
Counselling Psychology
12
90.8333
90.8333
Education
14
120.7143
Sig.
0.860
0.066
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 11.776.
b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.
Comparing between the three majors, Calculated F=4.917, P=0.014 which is < 0.05 level of significance. Major has significant effect on days. Post hoc test shows that Education and Clinical psychology are significantly different on mean days. Other pairs of majors are not significant..
Descriptives
days
N
Mean
Std. Deviation
Std. Error
95% Confidence Interval for Mean
Minimum
Maximum
Lower Bound
Upper Bound
Education
14
120.7143
32.77764
8.76019
101.7890
139.6395
56.00
173.00
Counselling Psychology
12
90.8333
37.18708
10.73498
67.2058
114.4609
54.00
200.00
Clinical psychology
10
84.1000
17.64747
5.58062
71.4758
96.7242
58.00
118.00
Total
36
100.5833
34.43949
5.73992
88.9307
112.2360
54.00
200.00
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