Unraveling the relationship between ESCS and digital reading performance: A multilevel mediation analysis of ICT-related psychological needs

Zheng, Jia-qi; Cheung, Kwok-cheung; Sit, Pou-seong; Lam, Chi-chio

doi:10.1007/s10639-024-12458-9

Educ Inf Technol

2024

DOI: 10.1007/s10639-024-12458-9

|View full text |Cite

Unraveling the relationship between ESCS and digital reading performance: A multilevel mediation analysis of ICT-related psychological needs

Jia-qi Zheng,

Kwok-cheung Cheung,

Pou-seong Sit

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 65 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Evaluating measurement invariance of students’ practices regarding online information questionnaire in PISA 2022: a comparative study using MGCFA and alignment method

Sözer Boz

2024

Educ Inf Technol

View full text Add to dashboard Cite

International large-scale assessments provide cross-national data on students’ cognitive and non-cognitive characteristics. A critical methodological issue that often arises in comparing data from cross-national studies is ensuring measurement invariance, indicating that the construct under investigation is the same across the compared groups. This study addresses the measurement invariance of students’ practices regarding online information (ICTINFO) questionnaire across countries in the PISA 2022 cycle. Some methodological complexities have arisen when testing the measurement invariance across the presence of many groups. For testing measurement invariance, the multiple group confirmatory factor analysis (MGCFA), which is a traditional procedure, was employed first, and then a novel approach, the alignment method, was performed. This study comprised 29 OECD countries, with a total sample size of 187.614 15-year-old students. The MGCFA results revealed that metric invariance was achieved across countries, indicating comparable factor loadings while not the same for factor means. Consistent with MGCFA results, the alignment method identified noninvariant parameters exceeding the 25% cut-off criteria across countries. Monte Carlo simulation validated the reliability of the alignment results. This study contributes to international assessments by providing a detailed examination of measurement invariance and comparing the findings from various methodologies for improving assessment accuracy. The results provide evidence-based recommendations for policymakers to ensure fair and equitable evaluations of student performance across different countries, thereby contributing to more reliable and valid international assessments.

show abstract

Evaluating measurement invariance of students’ practices regarding online information questionnaire in PISA 2022: a comparative study using MGCFA and alignment method

Sözer Boz

2024

Educ Inf Technol

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Unraveling the relationship between ESCS and digital reading performance: A multilevel mediation analysis of ICT-related psychological needs

Cited by 1 publication

References 65 publications

Evaluating measurement invariance of students’ practices regarding online information questionnaire in PISA 2022: a comparative study using MGCFA and alignment method

Evaluating measurement invariance of students’ practices regarding online information questionnaire in PISA 2022: a comparative study using MGCFA and alignment method

Contact Info

Product

Resources

About