The Relationships Between Internal Program Measures and a High-Stakes Teacher Licensing Measure in Mathematics Teacher Preparation: Program Design Considerations

Document Type

Article

Publication Date

6-21-2023

Publication Title

Journal of Teacher Education

DOI

10.1177/00224871231180214

Abstract

Accountability measures have quickly entered into formal teacher-preparation programs. As a response, we introduce the use of structural equation modeling vis-à-vis path analysis in secondary-grade mathematics teacher preparation as a methodology to test models to understand the strength of relationships to recommendations of prominent professional organizations and standards for entering the teaching profession. This longitudinal, 6-year, five-cohort study examines the relationship of program design sequencing and core components (internal measures) to an externally scored high-stakes teacher licensing examination portfolio intended to measure pedagogical content knowledge and first-year teacher readiness. The internal measures and program sequencing model explains 49.2% of the variance in relation to the standardized outcome teaching portfolio examination with high-power and medium- to large-effect statistics. We provide implications for teacher preparation with respect to recommendations of professional organizations, governments, and accreditation standards. Results should stimulate discussions and fuel future research efforts.

Comments

Georgia Southern University faculty member, Alesia Moldavan co-authored The Relationships Between Internal Program Measures and a High-Stakes Teacher Licensing Measure in Mathematics Teacher Preparation: Program Design Considerations.

Copyright

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