论文标题
使用开放式面试问题的答案来预测候选人的跳动动机
Predicting Job-Hopping Motive of Candidates Using Answers to Open-ended Interview Questions
论文作者
论文摘要
大部分自愿员工营业额包括经常从工作到工作的人，被称为工作。我们的工作表明，用于回答有关过去行为和情境判断的访谈问题的语言可预测工作跳动动机（通过工作跳动动机（JHM）量表）的动机。该研究基于45,000多名求职者的回答，他们完成了在线聊天访谈并以JHM量表进行自评为自己。评估了五种不同的文本表示方法，即四种开放式摄影方法（TF-IDF，LDA，手套单词嵌入和DOC2VEC文档嵌入）和一种封闭的唱机方法（LIWC）。手套嵌入提供了最佳结果，在所用单词序列与JHM量表之间的相关性为r = 0.35。进一步的分析还表明，基于语言的工作动机与经验的开放性和r = -0.09的相关性与特征的相关性之间的相关性是r = 0.25。
A significant proportion of voluntary employee turnover includes people who frequently move from job to job, known as job-hopping. Our work shows that language used in responding to interview questions on past behaviour and situational judgement is predictive of job-hopping motive as measured by the Job-Hopping Motives (JHM) Scale. The study is based on responses from over 45,000 job applicants who completed an online chat interview and self-rated themselves on JHM Scale. Five different methods of text representation were evaluated, namely four open-vocabulary approaches (TF-IDF, LDA, Glove word embeddings and Doc2Vec document embeddings) and one closed-vocabulary approach (LIWC). The Glove embeddings provided the best results with a correlation of r = 0.35 between sequences of words used and the JHM Scale. Further analysis also showed a correlation of r = 0.25 between language-based job-hopping motive and the personality trait Openness to experience and a correlation of r = -0.09 with the trait Agreeableness.
