Statistics exercise-28: zalon, m. l. (2004). correlates (10 q) &

Total  20 Questions and Two cases as per two attached files. Sample as questions as under:
Exercise #40
Source: Salsberry, P. J. (2003). Why are some children still uninsured? Journal of Pediatric Health Care, 17 (1), 32−8.
In an effort to understand why children remain uninsured, Salsberry (2003) interviewed low-income parents in Ohio and compared children with and without insurance. This cross-sectional survey design included a sample of 392 low-income parents. Subjects were chosen from two groups, those with a Medicaid history (n = 305) and those without a Medicaid history (n = 120). Those without a Medicaid history were chosen randomly. Results indicated specific profiles for different levels of insurance. These levels of insurance include uninsured, Medicaid-enrolled, and privately insured. “Statistically significant differences were found across the three groups in income, working status of the adults, education, health status of the adult and child, and in the utilization of health care” (Salsberry, 2003, p. 38). “Parents of the uninsured children were less knowledgeable about the application process. … Parents of uninsured children face multiple life challenges that may interfere with the enrollment process. Health problems, work schedules, and lack of knowledge may all need to be addressed before we can decrease the number of uninsured children in our nation” (Salsberry, 2003, p. 32)
1. According to the “Introduction,” what categories were reported to be statistically significant?
2. In Table 1, is the No. in household reported as statistically significant among the three groups (uninsured, Medicaid, and privately insured)? Provide a rationale for your answer.
3. Should the null hypothesis for Marital Status (%) be rejected? Provide a rationale for your answer.
4. How many null hypotheses were rejected in the Salsberry (2003) study? Provide a rationale for your answer.
Statistics Exercise 28
Source: Zalon, M. L. (2004). Correlates of recovery among older adults after major abdominal surgery. Nursing Research, 53 (2), 99–106.
Zalon (2004) conducted a predictive correlational study to determine whether the independent variables of pain, depression, and fatigue were predictive of older adults’ return to functional status and self-perception of recovery after abdominal surgery. The study involved adults who were 60 years of age or older who had undergone major abdominal surgery. “Data were collected during hospitalization (n = 192), then 3–5 days (n = 141), 1 month (n = 132), and 3 months after discharge to home (n = 126) using the Brief Pain Inventory, the Geriatric Depression Scale-Short Form, the Modified Fatigue Symptom Checklist, the Enforced Social Dependence Scale, and the Self-Perception of Recovery Scale” (Zalon, 2004, p. 99). The conclusions of the study were that pain, depression, and fatigue are predictive of the functional status and self-perception of recovery in older adults following surgery. Interventions are needed to reduce pain, depression, and fatigue to improve the postoperative recovery of older adults.
1.  Was multiple regression analysis the appropriate analysis technique to conduct in this study? Provide a rationale for your answer.
2.  Which independent variable had the strongest correlation with self-perception of recovery at 1 month after discharge? Provide a rationale for your answer.
3.  Were the independent variables pain, depression, and fatigue significantly correlated with self-perception of recovery at 1 month after discharge? Provide a rationale for your answer.
4.  Did multicollinearity occur in this study? Provide a rationale for your answer.

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