An Assessment of the Structural Validity and Measurement Invariance of the Web-Use Skills Scale for Aging Internet Users

被引:3
作者
Prevodnik, Katja [1 ]
Trkman, Marina [1 ]
Groselj, Darja [1 ]
Bartol, Jost [1 ,2 ]
Petrovcic, Andraz [1 ]
机构
[1] Univ Ljubljana, Fac Social Sci, Ctr Social Informat, Kardeljeva Ploscad 5, Ljubljana 1000, Slovenia
[2] Univ Ljubljana, Fac Arts, Ljubljana, Slovenia
关键词
aging adults; cross-validation; Internet skills; measurement invariance; structural validity; Web-Use Skills scale; OLDER; BENEFITS; DIVIDE;
D O I
10.1089/cyber.2022.0023
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Research on digital inequality has found that aging adults are often at risk of digital exclusion. Understanding the validity of survey measures assessing Internet skills in this population is critical to providing the high-quality data needed for effective digital inclusion policy interventions. This cross-validation study examines the structural validity and measurement invariance (across age, gender, and education groups) of the Web-Use Skills scale (WUS), which is commonly used as a proxy measure of Internet skills. We tested the 14-item version of the WUS. The scale was translated into the Slovenian language and pretested with older Internet users. Data were collected from two independent samples of Internet users aged 50+ years (N-1 = 259 and N-2 = 256) drawn from an online opt-in panel in Slovenia. The examination of structural validity confirmed that the WUS adequately reflects the one-factor structure of the web-use skills construct, although in a shorter six-item form. Moreover, the analysis confirmed strict measurement invariance between the two samples and, at least, scalar invariance between age, gender, and education groups. The results support the applicability of WUS in cross-group comparisons of Internet skills in the population of aging Internet users and point to several opportunities for future work.
引用
收藏
页码:657 / 665
页数:9
相关论文
共 56 条
[1]  
[Anonymous], 1976, INT STANDARD CLASSIF
[2]  
Beaujean A., 2014, Latent Variable Modeling Using R: A StepByStep Guide, DOI 10.4324/9781315869780
[3]  
Blank G., 2020, SSRN, DOI [10.2139/ssrn.3522083, DOI 10.2139/SSRN.3522083]
[4]  
Blank G., 2020, SSRN ELECT J, DOI [10.2139/ssrn.3522106, DOI 10.2139/SSRN.3522106]
[5]   ALTERNATIVE WAYS OF ASSESSING MODEL FIT [J].
BROWNE, MW ;
CUDECK, R .
SOCIOLOGICAL METHODS & RESEARCH, 1992, 21 (02) :230-258
[6]  
Callegaro M, 2014, WILEY SER SURV METH, P23
[7]   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
[8]   A comparison of bifactor and second-order models of quality of life [J].
Chen, Fang Fang ;
West, Stephen G. ;
Sousa, Karen H. .
MULTIVARIATE BEHAVIORAL RESEARCH, 2006, 41 (02) :189-225
[9]  
Czaja Sara J., 2010, Gerontechnology, V9, P46, DOI 10.4017/gt.2010.09.01.004.00
[10]  
de Gruijter D.N. M., 2008, STAT TEST THEORY BEH