Examination of Relation Between Personality Types and Demographic Properties of Academic Staff

Abstract

Universities are top institutions among education organizations. The personality types of academicians employed in these organizations are very important in terms of their own development and the development of the students they educate. The aim of this study is to examine the relation between personality types of academic staff and gender, mother education level and father education level variables. The research model is relational scanning. While determining the research group, teleological sampling method was selected among non-random sampling methods. The research was conducted through data obtained from 67 academic staff employed in different universities of Turkey during 2011- 2012 academic year. As data collection tool, “Holland vocational preference inventory” and “personal information form” were used. Chi square (x 2 ) test was performed in order to determine whether personality types of academic staff vary according to gender, mother education level and father education level.It was observed that the personality types of academic staff do not demonstrate significant difference according to gender. (x 2 = 1.01 and p>0.05) It was found that personality types of academic staff have a significant relation with mother education level (x 2 = 9.29 and p<0.05) and father education level. (x 2 = 9.79 and p<0.05) In line with the research findings, it was noted that academic staff has a social personality type containing helpfulness, social cooperation, sincerity, patience and similar properties. The relation of academic staff personality types with mother and father education levels emphasize the importance of parent education in determination of preferences and interests. Related with determination of academic staff personality types, their relation with variables such as attitude towards profession, academic success and so on can also be checked.

Keywords: Holland vocational preference inventory, academic staff, demographic properties