In order to improve the discrimination precision of support vector machine (SVM) in classification of surrounding rock, a Genetic Algorithm (GA) was used to optimize SVM parameters in the solution space. The idea of examination of model reliability was introduced to check the reliability of the SVM
Examination of Interest Inventories Based on Roe's Classification
β Scribed by Elchanan I. Meir; Amir Rubin; Richard Temple; Samuel H. Osipow
- Publisher
- American Counseling Association
- Year
- 1997
- Tongue
- English
- Weight
- 740 KB
- Volume
- 46
- Category
- Article
- ISSN
- 0889-4019
No coin nor oath required. For personal study only.
β¦ Synopsis
This article describes the adaptation of two interest inventories translated into English, based on Roe's (1956) classification of occupations. In an analysis based on the responses of 181 participants, the items followed the 6 rules for interest inventory items formulated by Meir and Gati (1981). The Cronbach alpha reliability of the 8 field scores in the 2 inventories ranged between .73 and .91. A Smallest Space Analysis (SSA) on 8 field scores on the Ramak, 8 field scores on the Courses and 6 personality type scores on Holland's (1973) Vocational Preference Inventory (VPI) supported the construct validity of the inventories.
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