Understanding Generalized Trust in News Media in China

Journal of Media Psychology Theories Methods and Applications, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 4, 2025

Abstract: Trust in news media (TNM) has continued declining some countries (e.g., US) while remaining stable or even increasing others China). Scholars are interested understanding what factors contribute to these differences. A reliable and equivalent measurement is essential for cross-national comparisons of TNM. However, there currently no instrument available measure generalized TNM China. This study examined the psychometric properties Generalized News Media Scale (GTNMS) The sample comprised 578 participants, including 347 females (60.0%) 231 males (40.0%). Confirmatory Factor Analysis (CFA), bifactor-CFA, bifactor Exploratory Structural Equation Modelling (bifactor-ESEM) were adopted examine construct validity Chinese version GTNMS. Measurement invariance (MI) predictive GTNMS also examined. results revealed that adaptation demonstrated optimal representation through a bifactor-ESEM, comprising global factor (G-factor) four specific (S-factors). Both G-factor S-factors showed acceptable internal consistency reliability. retained lower level specificity after controlling G-factor, which indicated was essentially unidimensional. from analysis only could predict individuals’ avoidance. In addition, MI established across participants using official commercial media. Overall, tool measuring

Language: Английский

Validity and Reliability of the Chinese Version of Digital Hoarding Scale

Research on Social Work Practice, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 6, 2024

Objectives: To facilitate research on digital hoarding in China, this study evaluated the psychometric properties of Digital Hoarding Scale (DHS). Methods: A total 618 participants were recruited through an online survey. The factorial structure, measurement invariance (MI), reliability, and validity DHS tested. Results: Chinese version was best represented by a bifactor exploratory structural equation modeling representation, which contains one general factor three specific factors. MI established across gender age groups. Reliabilities factors demonstrated high values omega coefficients. Moreover, criterion supported positive associations between physical disorder, obsessive-compulsive anxiety. Conclusions: is reliable tool for future studies investigating Chinese.

Language: Английский

Psychometric properties of the Chinese version of the Need for Privacy Scale

Digital Health, Journal Year: 2024, Volume and Issue: 10

Published: Jan. 1, 2024

Introduction The need for privacy is a high-order psychological of human, which closely related to human mental health problems in the digital age. Need Privacy Scale (NFP-S) reliable measure privacy. This study tested its psychometric characteristics among Chinese populations. Methods Firstly, we modified and translated NFP-S into version (NFP-SC). Subsequently, invited 15 participants complete pre testing NFP-SC determined final version. Next, collected questionnaire data from 1130 confirmatory factor analysis confirm structure validate convergent validity. Results results showed that bifactor Exploratory Structural Equation Modeling (bifactor-ESEM) could better reflect potential NFP-SC, included one general three specific factors were informational privacy, physical Based on bifactor-ESEM model, measurement invariance was demonstrated across gender groups. good reliability with high McDonald's coefficient omega. Convergent validity by verifying relationship between four covariates. Conclusions Our exhibited satisfactory properties context, meaning it be applied future studies investigating Future research build panel gathering different periods, supplement test-retest improve application effect.

Language: Английский