Muzayyin, Muhammad Dzuhri
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Development and Validation of the Online Victimization Scale: Confirmatory Factor Analysis and Composite Reliability Muzayyin, Muhammad Dzuhri; Al Afghani, Abdullah Azzam; Maula, Mela Minkhatul
JP3I (Jurnal Pengukuran Psikologi dan Pendidikan Indonesia) Vol 14, No 1 (2025): JP3I
Publisher : Fakultas Psikologi UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jp3i.v14i1.40554

Abstract

Online victimization is harmful actions directed at individuals or institutions through digital technology. This study aims to develop, validate, and examine the psychometric properties of the Online Victimization Scale (OVS). The researchers constructed and adapted several items from the Online Victimization Scale (OVS) by Tynes et al. (2014) and the Perceived Online Racism Scale (PORS) by Keum (2021), resulting in 54 items that were translated into Indonesian. A quantitative research method was employed using an accidental sampling technique. Data were collected from 204 individuals aged 14-23 years who were active social media users. Data analysis was conducted using Confirmatory Factor Analysis (CFA)to evaluate the factor structure. Score reliability was assessed by calculating composite omega and stratified alpha values using the lavaan package in R. The results indicated high inter-factor correlations, prompting a second-order factor analysis. The first-order and second-order models demonstrated good model fit indices with no significant differences, resulting in a final scale of 16 items. Measurement invariance testing using multi-group CFA confirmed that the scale met the criteria for scalar invariance, as indicated by minimal changes in ΔCFI and ΔTLI (<0.01). These findings validate the equivalence of the factor structure, factor loadings, and item intercepts between male and female participants, ensuring that score differences reflect actual differences in the online victimization construct rather than measurement bias.
Development and Validation of the Online Victimization Scale: Confirmatory Factor Analysis and Composite Reliability Al Afghani, Abdullah Azzam; Muzayyin, Muhammad Dzuhri; Maula, Mela Minkhatul
JP3I (Jurnal Pengukuran Psikologi dan Pendidikan Indonesia) Vol. 14 No. 1 (2025): JP3I
Publisher : FAKULTAS PSIKOLOGI UIN SYARIF HIDAYATULLAH JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jp3i.v14i1.40554

Abstract

Online victimization is harmful actions directed at individuals or institutions through digital technology. This study aims to develop, validate, and examine the psychometric properties of the Online Victimization Scale (OVS). The researchers constructed and adapted several items from the Online Victimization Scale (OVS) by Tynes et al. (2014) and the Perceived Online Racism Scale (PORS) by Keum (2021), resulting in 54 items that were translated into Indonesian. A quantitative research method was employed using an accidental sampling technique. Data were collected from 204 individuals aged 14-23 years who were active social media users. Data analysis was conducted using Confirmatory Factor Analysis (CFA)to evaluate the factor structure. Score reliability was assessed by calculating composite omega and stratified alpha values using the lavaan package in R. The results indicated high inter-factor correlations, prompting a second-order factor analysis. The first-order and second-order models demonstrated good model fit indices with no significant differences, resulting in a final scale of 16 items. Measurement invariance testing using multi-group CFA confirmed that the scale met the criteria for scalar invariance, as indicated by minimal changes in ΔCFI and ΔTLI (<0.01). These findings validate the equivalence of the factor structure, factor loadings, and item intercepts between male and female participants, ensuring that score differences reflect actual differences in the online victimization construct rather than measurement bias.
Meta-Analysis of the Numbered Head Together Learning Model on Learning Motivation and Comparison of Its Effectiveness at the Elementary to Senior High School in Indonesia Muzayyin, Muhammad Dzuhri; Syahputra, Nurdian; Aini, Dewi Khurun
PALAPA Vol 12 No 1 (2024): MEI
Publisher : LP2M STIT Palapa Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36088/palapa.v12i1.4684

Abstract

Learning motivation becomes a driving force that exists from within and outside students, thus causing desire and enthusiasm in learning to achieve a goal. However, not all students have high motivation in their studies to produce academic achievements. To overcome the problem of low student learning motivation, researchers are trying to find the right solution. And the NHT type cooperative learning model is a solution as a learning model that can motivate students to learn actively, creatively, and critically in teaching and learning activities. This research is a type of meta-analysis research that summarizes similar research relevant to the topic and then draws a general conclusion. The software used in data analysis is JASP. The results of the analysis of the summary effect using a random effect model showed that there was a positive influence of the NHT learning model on student learning motivation with an estimate score of 0.841. It can be concluded that the Numbered Head Together (NHT) learning model has an effect on increasing student learning motivation because it can be seen from the results of 14 studies analyzed using meta-analysis to get a mean effect size of 0.841 or an effect of 84%. In analyzing the moderation effect of educational levels, elementary schools (SD) rank first with an effect size of 1.513 and a Q value of 24.85. Senior high schools (SMA) rank second with an effect size of 0.841 and a Q value of 125.384. Lastly, junior high schools (SMP) rank third with an effect size of 0.557 and a Q value of 45.209. It can be concluded that the effectiveness of the NHT model depends on the educational level.