Question
The data analysis output below is a repeated measures ANOVA that was conducted to answer the following research question: Does the use of an on-line
- The data analysis output below is a repeated measures ANOVA that was conducted to answer the following research question: Does the use of an on-line safety planning app decrease depression among survivors of intimate partner violence (IPV). Women were introduced to the app after completing a baseline survey. They were surveyed again at 3-months, 6-months, and 12-months after using the safety planning app. Depression was measured using the Patient Health Questionnaire 9 (PHQ9): PHQ9=Baseline, BPHQ9=3-months, CPHQ9=6-months, DPHQ9=12-months. Please answer the questions that appear after the SPSS output. (7 points)
For pairwise comparisons the variables are coded 1 = PHQ9 at Baseline; 2=BPHQ9 at 3-months; 3 = CPHQ9 at 6-months; 4 =DPHQ9 at 12-months.
Descriptive Statistics | |||
Mean | Std. Deviation | N | |
1=PHQ9 Baseline Patient Health Questionaire (PHQ) | 13.8717 | 5.27303 | 207 |
2=BPHQ9 3-month Patient Health Questionaire (PHQ) | 13.3895 | 4.81622 | 207 |
3=CPHQ9 6-months Patient Health Questionaire (PHQ) | 13.0151 | 5.62743 | 207 |
4=DPHQ9 12-months Patient Health Questionaire (PHQ) | 13.2965 | 5.19957 | 207 |
Mauchly's Test of Sphericitya | |||||||
Measure: Depression | |||||||
Within Subjects Effect | Mauchly's W | Approx. Chi-Square | df | Sig. | Epsilonb | ||
Greenhouse-Geisser | Huynh-Feldt | Lower-bound | |||||
Time | .800 | 45.753 | 5 | .000 | .859 | .871 | .333 |
Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix. | |||||||
a. Design: Intercept Within Subjects Design: Time | |||||||
b. May be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are displayed in the Tests of Within-Subjects Effects table. |
Tests of Within-Subjects Effects | ||||||
Measure: Depression | ||||||
Source | Type III Sum of Squares | df | Mean Square | F | Sig. | |
Time | Sphericity Assumed | 78.931 | 3 | 26.310 | 3.096 | .026 |
Greenhouse-Geisser | 78.931 | 2.577 | 30.635 | 3.096 | .033 | |
Huynh-Feldt | 78.931 | 2.612 | 30.219 | 3.096 | .033 | |
Lower-bound | 78.931 | 1.000 | 78.931 | 3.096 | .080 | |
Error(Time) | Sphericity Assumed | 5251.615 | 618 | 8.498 | ||
Greenhouse-Geisser | 5251.615 | 530.762 | 9.894 | |||
Huynh-Feldt | 5251.615 | 538.068 | 9.760 | |||
Lower-bound | 5251.615 | 206.000 | 25.493 |
Pairwise Comparisons | ||||||
Measure: Depression | ||||||
(I) Time | (J) Time | Mean Difference (I-J) | Std. Error | Sig.b | 95% Confidence Interval for Differenceb | |
Lower Bound | Upper Bound | |||||
1 | 2 | .482 | .287 | .567 | -.282 | 1.247 |
3 | .857* | .319 | .047 | .006 | 1.707 | |
4 | .575 | .347 | .591 | -.348 | 1.498 | |
2 | 1 | -.482 | .287 | .567 | -1.247 | .282 |
3 | .374 | .242 | .744 | -.271 | 1.020 | |
4 | .093 | .260 | 1.000 | -.600 | .786 | |
3 | 1 | -.857* | .319 | .047 | -1.707 | -.006 |
2 | -.374 | .242 | .744 | -1.020 | .271 | |
4 | -.281 | .249 | 1.000 | -.944 | .381 | |
4 | 1 | -.575 | .347 | .591 | -1.498 | .348 |
2 | -.093 | .260 | 1.000 | -.786 | .600 | |
3 | .281 | .249 | 1.000 | -.381 | .944 | |
Based on estimated marginal means | ||||||
*. The mean difference is significant at the .05 level. | ||||||
b. Adjustment for multiple comparisons: Bonferroni. |
Based on the output tables provided:
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