Psychometric Properties (Measurement Invariance and Latent Mean Difference across Gender) of the Learning Transfer Inventory System (LTIS) to Assess Thai Teachers' Learning Transfer of COVID-19 Prevention Guidance in the Classroom

Int J Environ Res Public Health. 2022 Aug 1;19(15):9439. doi: 10.3390/ijerph19159439.

Abstract

One of the most important ways to improve, update, and sustain teachers' skills in an institution is via training. Nonetheless, despite the resources invested in training, learners' mobilization of new learning after they return to work does not always reach expectations, in part because of a lack of learning transfer assessment tools. This study investigated the psychometric properties of the learning transfer inventory system (LTSI) in assessing the teachers' transfer of COVID-19 prevention measures in Thai public school institutions. Participants were a sample of 700 in-service teachers (females = 54.8%; mean age = 36 years, SD = 15.41) who completed training on health code guidance for COVID-19 prevention in school. Results following confirmatory factor analysis, a test of the measurement invariance and measurement of the latent mean difference across gender, of the instrument yielded support for the hypothesized 16-factor structure. Empirical support for discriminant and convergent validity was strong. Additionally, we found a significant latent mean difference between male and female teachers related to the constructs peer support, supervisor sanction, and training design. The LTSI appears to yield valid and reliable scores for measuring the learning transfer of Thai teachers following in-service training.

Keywords: confirmatory factor analysis (CFA); construct validation; latent mean difference; learning transfer systems inventory (LTSI); measurement invariance.

MeSH terms

  • Adult
  • COVID-19* / prevention & control
  • Female
  • Humans
  • Male
  • Psychometrics
  • Reproducibility of Results
  • Thailand
  • Transfer, Psychology*

Grants and funding

The research received no external funding.