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Negative Consequences of Dichotomizing Continuous Predictor Variables
Marketing researchers frequently split (dichotomize) continuous predictor variables into two groups, as with a median split, before performing data analysis. The practice is prevalent, but its effects are not well understood. In this article, the authors present historical results on the effects of dichotomization of normal predictor variables rederived in a regression context that may be more relevant to marketing researchers. The authors then present new results on the effect of dichotomizing continuous predictor variables with various nonnormal distributions and examine the effects of dichotomization on model specification and fit in multiple regression. The authors conclude that dichotomization has only negative consequences and should be avoided.
Ketersediaan
| Call Number | Location | Available |
|---|---|---|
| JM4002 | PSB lt.dasar - Pascasarjana | 1 |
| Penerbit | Chicago: American Marketing Association 2003 |
|---|---|
| Edisi | Vol. 40, No. 3 (Aug., 2003), pp. 366-371 |
| Subjek | Regression analysis Statistical analysis Research methodology Journal marketing research Variable Discretization Predictor Variables Data Interpretation Model Accuracy |
| ISBN/ISSN | 0022-2437 |
| Klasifikasi | NONE |
| Deskripsi Fisik | 6 P. |
| Info Detail Spesifik | Journal of Marketing |
| Other Version/Related | Tidak tersedia versi lain |
| Lampiran Berkas |