TY - DATA T1 - The effect of grouping on regression analysis PY - 2017/06/06 AU - Beaumont, Nicholas UR - https://bridges.monash.edu/articles/journal_contribution/The_effect_of_grouping_on_regression_analysis/5080549 DO - 10.4225/03/5935fef28a052 L4 - https://ndownloader.figshare.com/files/8598712 KW - 1959.1/469380 KW - 2001 KW - monash:62875 N2 - Social science data is often collected in grouped form, respondents indicating that their ages and incomes are in ranges such as 30 -39 years and $40,000 to $49,999 respectively. Although grouping biases and makes less precise estimates of population statistics, social scientists appear to have ignored its effects. Its effects are usually mild but very common and occasionally severe (it can exacerbate the effects of multicolinearity). In many cases ignoring grouping makes tests of hypotheses weaker than they need be. In some cases, it is easy to modify statistical formulae to partially remove bias and recover some otherwise lost statistical power. The paper's assertions are based on theory verified by simulations. ER -