Dataset Information

Confirmatory factor analysis of celebrity worship, digital literacy, and nostalgia: Dataset of Indonesians.

ABSTRACT: This dataset is a measurement of Celebrity Worship (CWS), Digital Literacy (DL), and Nostalgia (NA). The participants were (1) For CWS, N?=?3,223 people (181 males, 3042 females; M age?=?19.64 years old; SD age?=?3.13 years), (2) For DL, N?=?482 people (225 males, 257 females; M age?=?25.16 years old; SD age?=?8.54 years), (3) For NA, N?=?658 people (140 males, 518 females; M age?=?21.26 years old; SD age?=?1.93 years). The data was obtained using a survey via Google Forms in June 2018 and April-July 2020 in Indonesia. The analysis techniques were confirmatory factor analyses/CFA using LISREL and test of differences using JASP. The data could be used by the Indonesian Ministry of Communication and Informatics (KEMENKOMINFO), Indonesian Ministry of Education and Culture (KEMENDIKBUD), Indonesian Ministry of Youth and Sports (KEMENPORA), as well as social marketers to map the three constructs in Indonesian youth and to prevent the adverse effects and impacts of celebrity worship, digital illiteracy, and inappropriate mode of nostalgia.

SUBMITTER: Abraham J

PROVIDER: S-EPMC7586072 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Confirmatory factor analysis of celebrity worship, digital literacy, and nostalgia: Dataset of Indonesians.

Abraham Juneman J Ali Moondore Madalina MM Andangsari Esther Widhi EW Hartanti Lisa Esti Puji LEP

Data in brief 20201017

This dataset is a measurement of Celebrity Worship (CWS), Digital Literacy (DL), and Nostalgia (NA). The participants were (1) For CWS, N = 3,223 people (181 males, 3042 females; M age = 19.64 years old; SD age = 3.13 years), (2) For DL, N = 482 people (225 males, 257 females; M age = 25.16 years old; SD age = 8.54 years), (3) For NA, N = 658 people (140 males, 518 females; M age = 21.2 ...[more]

PMID: 33134446

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Project description:BACKGROUND:Electronic health (eHealth) literacy is needed to effectively engage with Web-based health resources. The 8-item eHealth literacy scale (eHEALS) is a commonly used self-report measure of eHealth literacy. Accumulated evidence has suggested that the eHEALS is unidimensional. However, a recent study by Sudbury-Riley and colleagues suggested that a theoretically-informed three-factor model fit better than a one-factor model. The 3 factors identified were awareness (2 items), skills (3 items), and evaluate (3 items). It is important to determine whether these findings can be replicated in other populations. OBJECTIVE:The aim of this cross-sectional study was to verify the three-factor eHEALS structure among magnetic resonance imaging (MRI) and computed tomography (CT) medical imaging outpatients. METHODS:MRI and CT outpatients were recruited consecutively in the waiting room of one major public hospital. Participants self-completed a touchscreen computer survey, assessing their sociodemographic, scan, and internet use characteristics. The eHEALS was administered to internet users, and the three-factor structure was tested using structural equation modeling. RESULTS:Of 405 invited patients, 87.4% (354/405) were interested in participating in the study, and of these, 75.7% (268/354) were eligible. Of the eligible participants, 95.5% (256/268) completed all eHEALS items. Factor loadings were 0.80 to 0.94 and statistically significant (P<.001). All reliability measures were acceptable (indicator reliability: awareness=.71-.89, skills=.78-.80, evaluate=.64-.79; composite reliability: awareness=.89, skills=.92, evaluate=.89; variance extracted estimates: awareness=.80, skills=.79, evaluate=.72). Two out of three goodness-of-fit indices were adequate (standardized root mean square residual (SRMR)=.038; comparative fit index (CFI)=.944; root mean square error of approximation (RMSEA)=.156). Item 3 was removed because of its significant correlation with item 2 (Lagrange multiplier [LM] estimate 104.02; P<.001) and high loading on 2 factors (LM estimate 91.11; P<.001). All 3 indices of the resulting 7-item model indicated goodness of fit (?211=11.3; SRMR=.013; CFI=.999; RMSEA=.011). CONCLUSIONS:The three-factor eHEALS structure was supported in this sample of MRI and CT medical imaging outpatients. Although further factorial validation studies are needed, these 3 scale factors may be used to identify individuals who could benefit from interventions to improve eHealth literacy awareness, skill, and evaluation competencies.

Dataset Information

Confirmatory factor analysis of celebrity worship, digital literacy, and nostalgia: Dataset of Indonesians.

Publications

Confirmatory factor analysis of celebrity worship, digital literacy, and nostalgia: Dataset of Indonesians.

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