Psychometric Model of College Students Based on Time Series Analysis and Its Application in Educational Management.

The psychological measurement method of college students is a hot issue in the field of educational management research. Based on the time series analysis theory, this paper constructs a psychological measurement model for college students. This paper analyzes the psychometric behavior data, uses th...

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Publicado en:Occupational Therapy International pp. 1 - 11
Autor principal: Lu, Lu
Formato: equations & formulas research tables/charts Journal Article
Publicado: Wiley-Blackwell 5/6/2022
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 5/6/2022
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        156740305
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        10.1155/2022/9550463
        156740305
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        atl: Psychometric Model of College Students Based on Time Series Analysis and Its Application in Educational Management.
      aug:
        au: Lu, Lu
        affil: Guangdong Nanhua Vocational College of Industry and Commerce, Guangdong Guangzhou 510507, China
      sug:
        subj:
          Psychometrics
          Students, College
          Time Series
          Education
          Human
      ab: The psychological measurement method of college students is a hot issue in the field of educational management research. Based on the time series analysis theory, this paper constructs a psychological measurement model for college students. This paper analyzes the psychometric behavior data, uses the time series analysis method for behavior prediction, deeply mines the relevant component information of the psychometric data, and solves the problems of weak correlation between the functions of the psychometric platform and low data accuracy of the psychometric model. At the same time, taking the intervention target group and the intervention mode as the basic variables of the intervention classification system, combining these two dimensions, a two-dimensional classification framework for psychometric intervention was proposed, and four types of different psychometric intervention measures were applied. During the simulation process, a psychometric trajectory matrix was constructed, and a two-dimensional data extraction network was used to extract the psychometric pattern data of a certain period of time. The experimental results show that using the student mental state data as a label can obtain a low-coupling training set classification for psychometric effects of college students.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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