| Автор | Dattalo, Patrick |
| Дата выпуска | 1995 |
| dc.description | Logistic regression has emerged as a robust alternative to discriminant analysis. This paper compares both statistical procedures in terms of model specification, assessment of fit, and interpretation. Although both statistics performed well as classification techniques, the logistic regression model was more parsimonious and easier to interpret. The author concludes that when choosing between these two statistics, social work researchers should consider: (1) the purpose of the analysis (classification or description); (2) the characteristics of the sample; and (3) the tenability of assumptions. |
| Формат | application.pdf |
| Издатель | Taylor & Francis Group |
| Копирайт | Copyright Taylor and Francis Group, LLC |
| Название | A Comparison of Discriminant Analysis and Logistic Regression |
| Тип | research-article |
| DOI | 10.1300/J079v19n03_07 |
| Electronic ISSN | 1540-7314 |
| Print ISSN | 0148-8376 |
| Журнал | Journal of Social Service Research |
| Том | 19 |
| Первая страница | 121 |
| Последняя страница | 144 |
| Аффилиация | Dattalo, Patrick; Assistant Professor, School of Social Work, Virginia Commonwealth University, Richmond, VA, 23284 |
| Выпуск | 3-4 |
