Interpreting Findings of a Peer-Reviewed Study

Interpreting Findings of a Peer-Reviewed Study

Explanation of the Analysis Type: The authors indicate that the research aims to evaluate the relationship between education level, economic freedom, and GDP of an economy using a correlation analysis (Olena, 2020). The researcher calculates Pearson’s Chi-Square (Product Moment) Correlation, Kendall’s Tau Correlation, and Spearman Rank Correlation using Statistica.

Visual Presentation of the Findings: The findings of the study are presented in tables and scatter plots. The scatter plots are used to visually present the relationships between the different variables. Education Index is used as the independent variable in modeling the relationships, while other factors are used as the response variables.

Explanation of the Findings: The article by Olena (2020) presents the findings of correlation analysis on various factors to determine the relationship between the degree of economic freedom, quality of education, level of income, and feeling of happiness. The findings of the correlation analysis indicate that the education index has a high correlation with the happiness index, economic freedom, and GDP. The level of education was also closely related to income levels.

Critique of the Findings and Conclusions: The study explains the relationships between the level of education and the response variables. However, a major weakness with the study is that it only indicates that the variables are related without explaining the direction of the relationship between the variables. The study should also address differences in the analyzed indicators for economies with different income levels. Importantly, the study emphasizes the importance of improving the education standards in a country to improve overall wellbeing.

References

Olena, S. (2020). The relationship between education, income, economic freedom and happiness. SHS Web of Conferences. 75. 03004. 10.1051/shsconf/20207503004.

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Week 7: Interpreting Statistics in a Peer-reviewed Study
Find a quantitative peer-reviewed journal article that relates to your topic. The researchers will use one of the statistical analyses we’ve studied in this class (t-test, ANOVA, chi-square, linear or logistic regression).

How do they explain the analysis (type of test)? How do they display the findings visually? How do they explain the findings? Discuss any critiques you have of the Findings/Conclusion sections of the article. Are they missing any information that would be useful to the understanding of the research? Explain why it’s important to understand statistical analysis to fully understand the study and its findings.