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Applying the del technique to the analysis of cross-classification data: a test of ceo succession and top management team development
This article introduces to the organizational sciences a relatively new cross-classification analysis technique based on a statistic called Hildebrand's del. Del is shown to be superior to the other means available for analyzing cross-classification data for several reasons. Its most notable features are that it allows a researcher to develop and test explicit a priori predictions where other procedures do not, provides a strength-of-association measure, and is independent of sample size. The del procedure is compared to traditional approaches to analyzing cross-classification data by testing a theory of chief executive succession and top management team development in technology-based new ventures.
Ketersediaan
| Call Number | Location | Available |
|---|---|---|
| AMJ3606 | PSB lt.dasar - Pascasarjana | 1 |
| Penerbit | Ada, Ohio: Academy of Management 1993 |
|---|---|
| Edisi | Vol. 36, No. 6, Dec. 1993 |
| Subjek | Executive succession Research & development Chief Executive Officers (CEO) Succession planning |
| ISBN/ISSN | 0001-4273 |
| Klasifikasi | NONE |
| Deskripsi Fisik | 26 p. |
| Info Detail Spesifik | Academy of Management Journal |
| Other Version/Related | Tidak tersedia versi lain |
| Lampiran Berkas |