Construct Validation of the Self-Efficacy Teaching and Knowledge Instrument for Science Teachers-Revised (SETAKIST-R): Lessons Learned

نویسندگان

  • Linda A. Pruski
  • Sharon L. Blanco
  • Rosemary A. Riggs
  • Kandi K. Grimes
  • Chase W. Fordtran
  • Gina M. Barbola
  • John E. Cornell
  • Michael J. Lichtenstein
چکیده

Described herein is the academic lineage and independent validation of the Self-Efficacy Teaching and Knowledge Instrument for Science Teachers-Revised (SETAKIST-R). Data from 334 K-12 science teachers were analyzed using Partial Credit Rasch models. Principal components analysis on the person-item residuals suggest two latent dimensions: Knowledge and Teaching Self-Efficacies. Item-fit statistics were used to select items for each subscale. Person and item separation (reliability) indices were quite low, and we noted disordered response patterns on the person-item maps that revealed problems with item content and/or scaling for both subscales. These issues include the presence of: verbal negatives, ambiguous modifiers, counter-intuitive scaling, and an "undecided/uncertain" option. The SETAKIST-R, in its current form, cannot be recommended as a measure of science teacher self-efficacy.

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عنوان ژورنال:

دوره 24  شماره 

صفحات  -

تاریخ انتشار 2013