An Empirical Analysis of Employment Motivation and Career Choice of Graduates of Master of Engineering ——Based on Principal Component Factor Analysis and Binary Logit Regression Model

Liu, Wei (2015) An Empirical Analysis of Employment Motivation and Career Choice of Graduates of Master of Engineering ——Based on Principal Component Factor Analysis and Binary Logit Regression Model. In: Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China.

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Abstract

Taking 205 graduates of Masters of Engineering as the survey objects, their employment motivation, career choice and training evaluation were analyzed by principal component factor analysis and binary logit regression model. The study found that: the average year-end employment rate of the 2015-2020

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 15:43
Last Modified: 17 Apr 2026 05:00
URI: http://eprints.eai.eu/id/eprint/40525

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