Kuder Preference Record Occupational Personal Vocational

Author : Lyle H. Laughlin
Publisher :
ISBN 13 :
Total Pages : 138 pages
Book Rating : 4.:/5 (321 download)

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Download or read book Measuring Vocational Interests in Industrial Testing and the Problem of Response Bias written by Lyle H. Laughlin and published by . This book was released on 1950 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: The measurement of vocational interest is relatively new, having been developed within the last thirty years. Information concerning the usefulness of such testing is still in a highly controversial state. Although many significant studies have been made in the construction of vocational interest inventories and in their application to vocational guidance and industrial personnel selection and guidance, many challenging questions remain. For the test technicians, there are problems of reliability and validity; for the consumer of vocational interest inventories there are problems of proper iterpretation and proper utilization of such inventories. Others, knowing vaguely of some of the weaknesses of occupational interest inventories, have completely rejected them. The introduction of this study provides some of the general implications of our concept of interest, the importance of its role in guidance and selection, and a description of the interest inventory and the problem at which this research is aimed. It is not the endeavor of this research to determine that occupational interest inventories should be accepted uncritically, nor is the objective to determine that vocational interest inventories should be rejected completely. It is the purpose of this research to avoid such reactions to a particular occupational interest inventory, namely, the "Kuder Preference Record" form BB, by pointing out some of its weaknesses and by attempting to contribute to the continuation of improvement of this inventory. This research is primarily concerned with the possibility of faking favorable interests on the Kuder Preference Record. It is also the purpose of this research to explore the possibility of developing an empirical method to detect such faking on the Kuder Preference Record. This research has not solved the problems of faking on the Kuder Preference Record, but has perhaps contributed to further and possibly more adequate, research. The reader is advised that conclusions in this study have been derived by inference from statistical analysis of data.