Statistical Relationship between the Parameters of Some Indexed Journals

What is it about?

This paper proposes an application of correlation-regression method to establish the statistical relationship between acceptance rate & first decision time of some indexed journals. We collect the data from two web sources: Elsevier journal finder, and Springer journal suggester. In this problem, we concentrate on the data of the acceptance rate and first decision time. To examine the relationship between these measures, we apply a statistical approach, which is based on correlation and regression analysis. We determine the relative error of the data collected. We plot the scatter diagram between the two measures. Correlation coefficient value is also calculated, that checks the significant connection between the two variables. The correlation analysis and regression analysis demonstrate that there is a moderate positive correlation between acceptance rate & first decision time.

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Photo by Jan Kahánek on Unsplash

Photo by Jan Kahánek on Unsplash

Why is it important?

The practical implication of this study is that the researchers should be informed about such a correlation in selecting a preferred journal effectively as per acceptance rate and first decision time. This provides the decision maker with more knowledge and confident to make better strategies.

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