The Acceptable R-Square in Empirical Modelling for Social Science Research

Indexed incrossref

Abstract

This chapter examines the acceptable R-square in social science empirical modelling with particular focus on why a low R-square model is acceptable in empirical social science research. The paper shows that a low R-square model is not necessarily bad. This is because the goal of most social science research modelling is not to predict human behaviour. Rather, the goal is often to assess whether specific predictors or explanatory variables have a significant effect on the dependent variable. Therefore, a low R-square of at least 0.1 (or 10 percent) is acceptable on the condition that some or most of the predictors or explanatory variables are statistically significant. If this condition is not met, the low…

Citation impact

357
total citations
FWCI
365.63
Percentile
100%
References
19
Citations per year

Authors

1

Topics & keywords

Keywords
  • Spurious relationship
  • Collinearity
  • Square (algebra)
  • Causation
  • Econometrics
  • Empirical research
  • Mathematics
  • Variables
No related works found for this paper.