Question
The DNP student also believes that sleep disturbance (calculated by reported number of hours slept/night for 1 week - continuous level data) may be impacted
- The DNP student also believes that sleep disturbance (calculated by reported number of hours slept/night for 1 week - continuous level data) may be impacted based on depression levels which she ranked ordered into 3 groups (0=low, 1=moderate, 2=high).
- Identify the independent and dependent variables and level of measurement.
IV = Level of measurement:
DV = Level of measurement:
- Explain why the statistical analysis provided on the printout was chosen.
- Interpret the output by writing up the findings as recommended in Kim, Mallory & Valerio and our instructional videos. Highlight the data you used in the outputs below.
Your Interpretation:
Descriptives | ||||||||||||
SleepDist | ||||||||||||
N | Mean | Std. Deviation | Std. Error | 95% Confidence Interval for Mean | Minimum | Maximum | ||||||
Mode | Median | Lower Bound | Upper Bound | |||||||||
0 | 10 | 0 | .67 | 3.60 | 2.503 | .792 | 1.81 | 5.39 | 0 | 9 | ||
1 | 32 | 1 | 1.32 | 9.56 | 2.805 | .496 | 8.55 | 10.57 | 5 | 16 | ||
2 | 52 | 2 | 2.13 | 16.06 | 2.363 | .328 | 15.40 | 16.72 | 11 | 20 | ||
Total | 94 | 2 | 1.87 | 12.52 | 4.985 | .514 | 11.50 | 13.54 | 0 | 20 | ||
Test of Homogeneity of Variances | |||||
Levene Statistic | df1 | df2 | Sig. | ||
SleepDist | Based on Mean | .638 | 2 | 91 | .531 |
ANOVA | |||||
SleepDist | |||||
Sum of Squares | df | Mean Square | F | Sig. | |
Between Groups | 1726.356 | 2 | 863.178 | 134.249 | .000 |
Within Groups | 585.102 | 91 | 6.430 | ||
Total | 2311.457 | 93 |
Multiple Comparisons | ||||||
Dependent Variable: SleepDist | ||||||
Scheffe | ||||||
(I) DepLevel | (J) DepLevel | Mean Difference (I-J) | Std. Error | Sig. | 95% Confidence Interval | |
Lower Bound | Upper Bound | |||||
0 | 1 | -5.963* | .919 | .000 | -8.25 | -3.68 |
2 | -12.458* | .876 | .000 | -14.64 | -10.28 | |
1 | 0 | 5.963* | .919 | .000 | 3.68 | 8.25 |
2 | -6.495* | .570 | .000 | -7.91 | -5.08 | |
2 | 0 | 12.458* | .876 | .000 | 10.28 | 14.64 |
1 | 6.495* | .570 | .000 | 5.08 | 7.91 | |
*. The mean difference is significant at the 0.05 level. |
- Nursing administrators at a local hospital are concerned about low morale among the ICU nursing staff. They institute a new program with multiple measures designed to help the staff cope with stress and adopt a healthy lifestyle, including staff relaxation lounges, yoga classes, and healthy eating coaches. Before starting the program, they ask the ICU nursing staff to complete the Acme Attitude Survey (AAS), a 25-item scale which yields a summative score that can range from 0 to 100 (continuous level variable), with higher scores indicating more positive attitudes. 6 months following full implementation of the program, they again administer the AAS to the ICU nursing staff.
- Identify the independent and dependent variables and level of measurement.
IV = Level of measurement:
DV = Level of measurement:
- Explain why the statistical analysis provided on the printout was chosen.
- What is the most appropriate measure of central tendency and variability to report for this data?
- Interpret the output by writing up the findings as recommended in Kim, Mallory & Valerio and our instructional videos.
Your Interpretation:
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