8210 Dis. Wk9

Assignment Task part 2

Respond to at least one of your colleagues’ posts and comment on the following:

1. Do you think the variables are appropriately used? Why or why not?

2. Does the addition of the control variables make sense to you? Why or why not?

3. Does the analysis answer the research question? Be sure and provide constructive and helpful comments for possible improvement.

4. If there was a significant effect, comments on the strength and its meaningfulness.

5. As a lay reader, were you able to understand the results and their implications? Why or why not?

Colleague Response

22 hours ago

Romel Jimera 

COLLAPSE

Top of Form

Problems with Public Schools and Lived Poverty Index Predict Problems with Public Health Clinics 

My report on the average age yield 37.20 from the Afrobarometer dataset, utilizing SPSS ver. 28.

          Research Question: Can public schools' problems and the lived poverty index predict problems with public health clinics?

          Null Hypothesis: Problems with public schools and the lived poverty index do not correlate with the problems with public health clinics.

Research Design

Quantitative design, such as complex correlational research, is appropriate to investigate possible causal correlations between variables (Frankfort-Nachmias et al., 2021). I utilized three continuous variables, one dependent and two independent. I chose Problems with Public Health Clinics as the dependent variable (measured by a higher score = more problems) to determine if the predictors I picked are among the causative factors. Further, the goal of public health is to safeguard the health of whole populations (CDC, 2022), which resonate nowadays.

Meanwhile, the two independent variables were Problems with Public Schools (measured by interval ratio with higher scores denoting more problems) and the Lived Poverty Index (an average index of five poverty items). The predictor's justification determines the link whether poor education and the high poverty index contribute to public health clinic problems, a universal concern. 

Figure 1Bottom of Form

Figure 1 shows the model summary that the Adjusted R Square of .446 for multiple regression inferred that 44.6% of the Problems with Public Health Clinics are accounted for or explained by the Problems with Public Schools and Lived Poverty Index. Moreover, the R-value or the correlation coefficient of .668 suggests that the predictors strongly correlate with the Problems with Public Health Clinics. Hence, a robust significant effect.

Figure 2

The ANOVA in Figure 2 demonstrates that the model includes significant predictors of Issues with Public Health Clinics, F (2, 6819) = 2747.26, p = .000. Consequently, if the Sig. Value is < .05 alpha level; there is statistical significance to rejecting the null hypothesis (Walden University, 2016g).

values of Problems with Public Schools and Lived Poverty Index are zero. The statistical findings indicated that Problems with Public Schools (B = .615, p = .000) and Lived Poverty Index (B = .675, p < .001) were significant. Therefore, the multiple regression model illustrates a positive correlation between the dependent variable and its predictors by these formulas:

          Problems with Health Clinics = 2.503 + (.615 * Problems with Public Schools)

           Figure 3

illustrates the Problems with Public Health Clinics (constant), starting at 2.503 when the values of Problems with Public Schools and Lived Poverty Index are zero. The statistical findings.

Problems with Health Clinics = 2.503 + (.675 * Lived Poverty Index)

The multiple regression analysis answered the research question that Problems with Public Schools and the Lived Poverty Index predict Problems with Public Health Clinics. In short, the more significant the predictive score of the predictors, the more problematic the dependent variable becomes. Therefore, the implications of this study could determine the success of public health clinics' operations. High-quality public health clinics should serve the public interest.

References

CDC. (2022). What is public health? CDC Foundation. https://www.cdcfoundation.org/what-public-health

Frankfort-Nachmias, C., Leon-Guerrero, A., & Davic, G. (2021). Social statistics for a diverse society (9th ed.). Sage.

Walden University, LLC. (Producer). (2016g). Multiple regression [Video file]. Author.