<p>This study developed a Metaverse Competency Scale (MCS) to measure users’ proficiency in crucial metaverse skills. The scale was built on a thorough literature review covering digital avatars, immersive experiences, and decentralized value exchange. A two-phase questionnaire approach was employed. In the first phase, a pre-test questionnaire, validated by experts, was administered to 241 participants. Exploratory factor analysis (EFA) resulted in 32 retained items. The second phase involved testing the refined questionnaire with 615 participants and conducting EFA, confirmatory factor analysis, and structural equation modeling, leading to a final 24-item scale. The results indicated strong reliability, validity, and a good model fit, confirming the scale’s effectiveness in assessing users’ metaverse competencies. Path analysis further revealed that mastery of digital avatars, immersive experiences, and decentralized value exchange was positively associated with higher motivation to engage in metaverse activities. These findings offer valuable insights into user competency and motivation, making the MCS a helpful tool for guiding training and education programs that enhance user participation and experiences in the metaverse.</p>

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Development and evaluation of a metaverse competency scale for university students

  • Kuo-Lun Hsiao,
  • Mu-Yen Chen,
  • Yi-Ru Liao

摘要

This study developed a Metaverse Competency Scale (MCS) to measure users’ proficiency in crucial metaverse skills. The scale was built on a thorough literature review covering digital avatars, immersive experiences, and decentralized value exchange. A two-phase questionnaire approach was employed. In the first phase, a pre-test questionnaire, validated by experts, was administered to 241 participants. Exploratory factor analysis (EFA) resulted in 32 retained items. The second phase involved testing the refined questionnaire with 615 participants and conducting EFA, confirmatory factor analysis, and structural equation modeling, leading to a final 24-item scale. The results indicated strong reliability, validity, and a good model fit, confirming the scale’s effectiveness in assessing users’ metaverse competencies. Path analysis further revealed that mastery of digital avatars, immersive experiences, and decentralized value exchange was positively associated with higher motivation to engage in metaverse activities. These findings offer valuable insights into user competency and motivation, making the MCS a helpful tool for guiding training and education programs that enhance user participation and experiences in the metaverse.