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Psychometric Properties of Three Simplified Chinese Online-Related Addictive Behavior Instruments Among Mainland Chinese Primary School Students.

ABSTRACT: Background/Objective:There are inadequate screening instruments for assessing specific internet-related addictions among mainland Chinese primary school students. Therefore, the present study validated the psychometric properties of three simplified Chinese online-related addictive behavior instruments among mainland Chinese primary school students. Method:Fourth to sixth graders (n = 1108; 48.3% males; mean [SD] age?=?10.37 years [0.95]) completed the nine-item Internet Gaming Disorder Scales-Short Form (IGDS-SF9), Bergen Social Media Addiction Scale (BSMAS), and Smartphone Application-Based Addiction Scale (SABAS) in a classroom. The factorial structures and the unidimensionality of the three scales were examined using confirmatory factor analyses (CFAs). Measurement invariance of the three scales was examined using multigroup confirmatory factor analyses (MGCFAs) across gender. Results:The findings demonstrated that the three scales (Cronbach's ? = 0.73 to 0.84) had unidimensional structure as supported by satisfactory fit indices (comparative fit index?=?0.98 to 1.00). The MGCFA findings indicated that the unidimensional structures of the three scales were invariant across gender. Conclusions:The findings indicate that the three simplified Chinese scales (IGDS-SF9, BSMAS, and SABAS) are valid instruments for assessing online-related addictive behaviors among mainland Chinese primary school students irrespective of their gender.

SUBMITTER: Chen IH

PROVIDER: S-EPMC7495180 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Psychometric Properties of Three Simplified Chinese Online-Related Addictive Behavior Instruments Among Mainland Chinese Primary School Students.

Chen I-Hua IH Ahorsu Daniel Kwasi DK Pakpour Amir H AH Griffiths Mark D MD Lin Chung-Ying CY Chen Chao-Ying CY

Frontiers in psychiatry 20200903

<h4>Background/objective</h4>There are inadequate screening instruments for assessing specific internet-related addictions among mainland Chinese primary school students. Therefore, the present study validated the psychometric properties of three simplified Chinese online-related addictive behavior instruments among mainland Chinese primary school students.<h4>Method</h4>Fourth to sixth graders (n = 1108; 48.3% males; mean [SD] age = 10.37 years [0.95]) completed the nine-item Internet Gaming Di ...[more]

PMID: 33101070

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Project description:BackgroundThe rapid proliferation of web-based information on health and health care has profoundly changed individuals' health-seeking behaviors, with individuals choosing the internet as their first source of information on their health conditions before seeking professional advice. However, barriers to the evaluation of people's eHealth literacy present some difficulties for decision makers with respect to encouraging and empowering patients to use web-based resources.ObjectiveThis study aims to examine the psychometric properties of a simplified Chinese version of the eHealth Literacy Scale (SC-eHEALS).MethodsData used for analysis were obtained from a cross-sectional multicenter survey. Confirmatory factor analysis (CFA) was used to examine the structure of the SC-eHEALS. Correlations between the SC-eHEALS and ICEpop capability measure for adults (ICECAP-A) items and overall health status were estimated to assess the convergent validity. Internal consistency reliability was confirmed using Cronbach alpha (α), McDonald omega (ω), and split-half reliability (λ). A general partial credit model was used to perform the item response theory (IRT) analysis. Item difficulty, discrimination, and fit were reported. Item-category characteristic curves (ICCs) and item and test information curves were used to graphically assess the validity and reliability based on the IRT analysis. Differential item functioning (DIF) was used to check for possible item bias on gender and age.ResultsA total of 574 respondents from 5 cities in China completed the SC-eHEALS. CFA confirmed that the one-factor model was acceptable. The internal consistency reliability was good, with α=0.96, ω=0.92, and λ=0.96. The item-total correlation coefficients ranged between 0.86 and 0.91. Items 8 and 4 showed the lowest and highest mean scores, respectively. The correlation coefficients between the SC-eHEALS and ICECAP-A items and overall health status were significant, but the strength was mild. The discrimination of SC-eHEALS items ranged between 2.63 and 5.42. ICCs indicated that the order of categories' thresholds for all items was as expected. In total, 70% of the information provided by SC-eHEALS was below the average level of the latent trait. DIF was found for item 6 on age.ConclusionsThe SC-eHEALS has been demonstrated to have good psychometric properties and can therefore be used to evaluate people's eHealth literacy in China.

Project description:BackgroundThe 12-item brief version of the Fear of Negative Evaluation Scale (BFNE) is one of the most widely used instruments to assess fear of negative evaluation. Recent evidence strongly supports the version composed of 8 straightforward items (BFNE-S), which possessesstronger psychometric properties. The purpose of the current study is to examine the psychometric prop-erties of the Chinese versions of the BFNE and BFNE-S for middle school students.MethodologyA total of 1009 middle school students were recruited in this study. The BFNE, the BFNE-S, the Friedman-Bendas Text Anxiety Scale (FBTAS), and the Social Anxiety Scale (SAS) were administered to 497 participants, and 52 participants were re-tested after four weeks. The BFNE, the BFNE-S, the Rosenberg Self-Esteem Scale (RSES), and the Balanced Inventory of Desirable Responding (BIDR) wereadministered to 492 participants. The BFNE and BFNE-S significantly cor-related with all the scales, supporting their convergent, divergent and concurrent validity.Principal findingsThe Cronbach's alpha of the BFNE (BFNE-S) was 0.864 (0.867) with 497 par-ticipants and 0.886 (0.844) with 492 participants, and the test-retest reliability coefficient was 0.791 (0.855) (ICC). Although the EFA identified a two-factor solution in which the 8 straightfor-ward items loaded on one factor and the 4 reversed items loaded on the other, the CFA, using a random intercept model to control the wording effect, supported a unidimensional factor struc-ture of the BFNE. Both EFA and CFA supported the unidimensional assumption of the BFNE-S. The correlations of the BFNE and BFNE-S were 0.929 and 0.952 in two samples.ConclusionsThe Chinese versions of the BFNE and BFNE-S demonstrate adequate psychometric properties for assessing fear of negative evaluation. The results support their use among the Chinese middle school students. Considering its greater parsimony and excellent reliability and validity, the BFNE-S is a better tool.

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Psychometric Properties of Three Simplified Chinese Online-Related Addictive Behavior Instruments Among Mainland Chinese Primary School Students.

Publications

Psychometric Properties of Three Simplified Chinese Online-Related Addictive Behavior Instruments Among Mainland Chinese Primary School Students.

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