Abstract: With the rapid development of vocational education and the implementation of the policy of expanding enrollment of millions, the number of poor students in higher vocational colleges has increased significantly. The key to do a good job in the extension of national targeted poverty alleviation policy in higher vocational colleges is to accurately identify poor students. This paper adopts the random stratified sampling survey method, analyzes the feedback data with SPSS software, and investigates the identification degree of the current poor students' judgment method in higher vocational colleges. Based on the effectiveness, accuracy, comprehensiveness and quantifiable of information, this paper finds several commonly recognized judgment methods, and provides corresponding suggestions for the identification of poor students through data analysis.

Key words: Higher vocational colleges, Poor students' judgment, Identification degree, Investigation