Non-cognition test construction method for detecting and checking test person forging

Abstract

The invention discloses a non-cognitive test compiling method, which can detect and deter the counterfeiting of a subject, taking the personality test as an example, compulsive choice questions of the first part of test questions and Likert scale test questions of the second part of the test questions are prepared on a personality test question book, wherein, a plurality of test questions which are most likely to be counterfeited by a candidate are selected in the original Likert scale personality test, and then the test questions are matched into a plurality of compulsive choice questions to be arranged in the first part of the test questions. The subject firstly answers the compulsive choice questions truthfully, and then the results of the same Likert scale test questions filled and answered by the subject later are compared for checking whether the earlier answers and the latter answers are consistent or not. So the non-cognitive test compiling method of the invention can deter the test counterfeiting of the candidate, thus improving the degree of the personality of the candidate which is accurately detected by the selection test.

Description

technical field [0001] The invention relates to a non-cognitive test preparation method, in particular to a non-cognitive test preparation method which can prevent fraud by using obvious fraud detection technology on the non-cognitive test. Background technique [0002] Generally, when companies select job applicants, in order to have a preliminary understanding of the character or personality of job applicants before admitting job applicants, so as to provide the examiner as a reference for recruiting personnel, they usually conduct a personality test on job applicants. The compilation techniques of general personality tests can usually use scale-style and forced-choice questions. [0003] Here are two existing test preparation techniques, the Likert scale and the forced choice method, and how they deal with the situation that job seekers will falsify the selection test in order to increase the probability of admission: [0004] Likert scale mixed with social approval test...

AI Technical Summary

Problems solved by technology

[0008] The present invention provides a non-cognitive test preparation method that can detect and deter testees from falsifying, so as to solve the problem that many job seekers in the prior art will use their cleverness to adopt fraudulent strategies, trying to improve the test results by beautifying the test results. Chances of admission, resulting in difficult or unfair scoring among applicants

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