Latent Profile Analysis of Generic Teaching Competencies of Preservice Teachers: A Mixed-Methods Study

Bülent Alan

SAGE Open, 2025, vol. 15, issue 3, 21582440251375635

Abstract: This mixed-methods study investigated 247 senior Turkish preservice teachers’ (PTs) generic competency profiles by conducting a latent profile analysis (LPA), which allows researchers to explore individuals within subpopulations in a holistic way. By using the generic teacher competency framework (GTCF) as data collection tool, the LPA analysis yielded two distinct profiles. The findings showed that the distinctive features between these two profiles were due to the competencies related to content knowledge and teaching, effective communication with stakeholders, and assessment and evaluation. Qualitative analysis of semi-structured interviews and written responses whereby preservice teachers justified the reasons of their self-reports revealed similar results. PTs thought that they were competent at knowledge level because of their theory-laden education neglecting practical teaching aspects, whereas they believed that communication with parents and assessment are the areas they felt the least competent. Therefore, there is a need for a reform in teacher education curriculum in Türkiye to enable PTs to practice and engage in activities regarding teaching, assessment, and communication with families in an extended practicum period. PTs should be given individualized feedback and coaching in the areas they are less competent and should be provided with more opportunities tailored for their actual needs. The findings suggest that the domain specific GTCF with performance indicators can be used for evaluation and self-evaluation of PTs. Finally, using LPA, GTCF can also be used to determine the professional development needs of in-service teachers to organize more effective professional development programs.

Keywords: latent profile analysis; teacher competencies; preservice teachers; teacher education; teacher evaluation (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/21582440251375635 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:15:y:2025:i:3:p:21582440251375635

DOI: 10.1177/21582440251375635

Access Statistics for this article

More articles in SAGE Open
Bibliographic data for series maintained by SAGE Publications ().