Evidence-based teacher education and correlation analyses
DOI:
https://doi.org/10.30820/0942-2285-2019-2-356Keywords:
teacher education, diagnostic competence, inclusion, evidence, growth-curve model, correlationAbstract
Teacher education utilizes the scientific construct of evidence for decisions on the design of teacher trainings. While the relationship between diagnostic knowledge and positive attitudes towards inclusive teaching is widely accepted, the available evidence is constrained by many factors. We discuss the conditions of constructing evidence in teacher education and show typical errors of classical correlation analyses. Our analyses are based on a quasi-experimental study with 63 pre-service teachers, who learned how to diagnose students either with problem-based learning or with instruction-based learning. Applying an innovative statistical method that allows for calculating growth-curve models with small sample sizes, we show that a growth in diagnostic knowledge can correlate with a growth in positive attitudes towards inclusive teaching. In the discussion we focus on the meaning of the results for the transition of pre-service teachers into teaching.Downloads
Published
2020-05-01
How to Cite
Wedel, Alexander, Jan Pfetsch, and Angela Ittel. 2020. “Evidence-Based Teacher Education and Correlation Analyses”. Journal für Psychologie 27 (2):356-81. https://doi.org/10.30820/0942-2285-2019-2-356.
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