Logistic Regression Predictive Models of Job and Degree Satisfaction among Greek Social Sciences Graduates

摘要

Job and degree satisfaction of graduates are key indicators within the educational evaluation and effectiveness. Focusing on social science graduates, these indicators are of particular importance given a continued and widespread scepticism regarding the value of social sciences in the labour market, which in turn gives rise to perceptions questioning the value of social sciences per se. This study utilized secondary data from a sample of 6,412 social science alumni to perform logistic regression analyses in order to determine the predictive effects of demographic, educational and job characteristics on the degree and job satisfaction. The results, which are given in terms of the probabilities that graduates are satisfied with their degree or job, reveal both significant and non-significant relationships between predictors and outcome variables. The effect of a positive university experience to a corresponding work experience is particularly underlined. In addition, comparisons with the results of similar studies lead to the conclusion for a good position of the Greek social science graduates, regarding degree and job satisfaction, in the European context. The utility of logistic regression in the analysis of such issues is also highlighted.