Some of the researchers claimed that the value of R2 is a big matter for good publicist ion. But, I have found some research articles published from Q1 journals with R2 less than 4% !!!! So, actually, Does R-Square value of less than 10% constitute a major challenge to the outcome of a social science research effort?
Dear Md.,
Obviously, with a low R2 value there is a lot of variation in the data that is not being explained by the model, which lead to the question, "is this variation random or can it be explained by other factors not considered by the researchers"? You would expect a Q1 journal article to explore questions such as this.
Furthermore, the size of the R2 coefficient is not the same thing as the level of evidence to reject the null hypothesis (that there is no correlation). It is quite possible for an R2 coefficient that is less than 10% to be significant at the 95% level, or even the 99%, depending upon the sample size.
Finally, it is worth remembering that high quality research is not all about trying to reject null hypotheses. Rather, it is about things such as formulating important research questions, carrying out systematic studies with appropriate analysis, interpreting results correctly, and discussing how results connect with the wider literature.
Dear Md.,
Obviously, with a low R2 value there is a lot of variation in the data that is not being explained by the model, which lead to the question, "is this variation random or can it be explained by other factors not considered by the researchers"? You would expect a Q1 journal article to explore questions such as this.
Furthermore, the size of the R2 coefficient is not the same thing as the level of evidence to reject the null hypothesis (that there is no correlation). It is quite possible for an R2 coefficient that is less than 10% to be significant at the 95% level, or even the 99%, depending upon the sample size.
Finally, it is worth remembering that high quality research is not all about trying to reject null hypotheses. Rather, it is about things such as formulating important research questions, carrying out systematic studies with appropriate analysis, interpreting results correctly, and discussing how results connect with the wider literature.
I think you can find very detailed explanation of your question here:
https://people.duke.edu/~rnau/rsquared.htm
http://blog.minitab.com/blog/adventures-in-statistics-2/regression-analysis-how-do-i-interpret-r-squared-and-assess-the-goodness-of-fit
https://www.researchgate.net/post/what_is_the_acceptable_r-squared_value
Article Small Is Beautiful: The Use and Interpretation of R2 in Soci...
Bests,
Anton
Thank you so much Anton......The last article is very effective.
Dear mizanur,
try this article also.
Article The P-value Fallacy and How to Avoid It
Dear,
In time series analysis, usually r-squre value is lesser compared with corss-sectional data. However, magnitude is not important but significance is.
Regards,
Nawaz
So far my knowledge goes, in panel data analysis we cn expect a low r square most of d times. Here, significance matters. Bt, in time series r square is very crucial thing as well as in cross sectional.
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