The mobile phone addiction index: Cross gender measurement invariance in adolescents

被引:8
作者
An, Xianli [1 ]
Chen, Siguang [1 ]
Zhu, Liping [1 ,2 ]
Jiang, Caimin [1 ]
机构
[1] Yangzhou Univ, Sch Educ Sci, Dept Psychol, Yangzhou, Peoples R China
[2] Psychol Educ Ctr, Guangzheng Preparatory Sch, Dongguan, Peoples R China
来源
FRONTIERS IN PSYCHOLOGY | 2022年 / 13卷
关键词
Mobile Phone Addiction Index; measurement invariance; middle school students; adolescents; gender; OF-FIT INDEXES; SMARTPHONE ADDICTION; ROLES; PERFORMANCE;
D O I
10.3389/fpsyg.2022.894121
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
The Mobile Phone Addiction Index (MPAI) is a short instrument to assess mobile phone addiction. The Chinese version of this scale has been widely used in Chinese students and shows promising psychometric characteristics. The present study tested the construct validity and measurement invariance of the MPAI by gender in middle school adolescents. The data were collected from 1,395 high school students (females, n = 646; M age = 15.3 years). Confirmatory factor analysis (CFA) and multiple-group CFA (MG-CFA) for invariance tests were conducted on the MPAI model which consisted of 17 observed items and 4 latent factors. Findings showed that the data fit the four-factor structure model well for both males and females. Furthermore, configural, metric, scalar, and residual invariance were established by gender. The results indicated that the MPAI has acceptable psychometric properties when used in adolescents. In addition, with the strict invariance requirements being satisfied, the underlying factor scores for MPAI can be meaningfully compared across genders. To our knowledge, this study is the first attempt to test the measurement invariance of the MPAI across male and female adolescents. Our results will support future research on mobile phone addiction in adolescents.
引用
收藏
页数:8
相关论文
共 37 条
[1]   Mobile phone addiction and school performance among Chinese adolescents from low-income families: A moderated mediation model [J].
Bai, Chen ;
Chen, Xiaomeng ;
Han, Keqing .
CHILDREN AND YOUTH SERVICES REVIEW, 2020, 118
[2]   On the performance of maximum likelihood versus means and variance adjusted weighted least squares estimation in CFA [J].
Beauducel, A ;
Herzberg, PY .
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, 2006, 13 (02) :186-203
[3]   Psychological predictors of problem mobile phone use [J].
Bianchi, A ;
Phillips, JG .
CYBERPSYCHOLOGY & BEHAVIOR, 2005, 8 (01) :39-51
[4]  
Buctot D B., 2020, Social Sciences Humanities Open, V2, P100035, DOI DOI 10.1016/J.SSAHO.2020.100035
[5]  
[蔡华俭 CAI HuaJian], 2008, [心理学报, Acta Psychologica Sinica], V40, P228
[6]   Sensitivity of goodness of fit indexes to lack of measurement invariance [J].
Chen, Fang Fang .
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, 2007, 14 (03) :464-504
[7]  
[陈俊波 Chen Junbo], 2021, [中国临床心理学杂志, Chinese Journal of Clinical Psychology], V29, P380
[8]   Evaluating goodness-of-fit indexes for testing measurement invariance [J].
Cheung, GW ;
Rensvold, RB .
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, 2002, 9 (02) :233-255
[9]  
China Internet Network Information Center, 2020, RES REPORT INTERNET
[10]   Comparison of risk and protective factors associated with smartphone addiction and Internet addiction [J].
Choi, Sam-Wook ;
Kim, Dai-Jin ;
Choi, Jung-Seok ;
Ahn, Heejune ;
Choi, Eun-Jeung ;
Song, Won-Young ;
Kim, Seohee ;
Youn, Hyunchul .
JOURNAL OF BEHAVIORAL ADDICTIONS, 2015, 4 (04) :308-314