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Data for developing computerized adaptive testing of problematic mobile phone use

Authors :
Yaojie Gao
Xiaorui Liu
Zhao Zhou
Miao Chao
Tour Liu
Source :
Data in Brief, Vol 55, Iss , Pp 110746- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

With the popularity of smart terminals and mobile Internet, mobile phone had been a necessity in everyone's daily life. Problematic mobile phone use (PMPU) also needs attention. Although there were multiple measurements to assess the PMPU, most of the tools were in traditional forms with fixed items. Therefore, the current study aimed to develop a computerized adaptive testing for problematic mobile phone use (CAT-PMPU) based on the Item Response Theory, which might help to provide an optimal solution to psychological assessments with long-scale and heterogeneous samples. The data in this article provided results of PMPU with different measurements. The dataset provided in this article includes 1619 participants, encompassing middle school students, undergraduate students, and graduate students recruited from various grades in China. The sample consists of 628 males and 991 females. Self-report measures were administrated including the Chinese version of the Nomophobia Questionnaire, Smartphone Addiction Proneness Scale, Smartphone Addiction Inventory, Mobile Phone Addiction Scale, Mobile Phone Addiction Tendency Scale, Smartphone Addiction Scale for College Students, and the Smartphone Addiction Scale for Chinese Adults. All the measurements were in the Chinese version. A .csv file consists of major variables we used was included as supplementary material on the Zenodo Repository. The discussion of the findings based on the dataset could be found in two articles: Development of a Computerized Adaptive Test for Problematic Mobile Phone Use & Generalizing computerized adaptive testing for problematic mobile phone use from Chinese adults to adolescents.

Details

Language :
English
ISSN :
23523409
Volume :
55
Issue :
110746-
Database :
Directory of Open Access Journals
Journal :
Data in Brief
Publication Type :
Academic Journal
Accession number :
edsdoj.53ee8705719e460cbd3c78ef79fd2db6
Document Type :
article
Full Text :
https://doi.org/10.1016/j.dib.2024.110746