@article{e25cf46ffb75401f9aa3c1f7c5e3cfed,
title = "Construct Validation of the Self-Efficacy Teaching and Knowledge Instrument for Science Teachers-Revised (SETAKIST-R): Lessons Learned",
abstract = "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.",
keywords = "Rasch analysis, SETAKIST-R, Self-efficacy teaching and knowledge instrument for science teachers-revised, Teacher efficacy, Teacher professional development, Teacher self-efficacy beliefs",
author = "Pruski, {Linda A.} and Blanco, {Sharon L.} and Riggs, {Rosemary A.} and Grimes, {Kandi K.} and Fordtran, {Chase W.} and Barbola, {Gina M.} and Cornell, {John E.} and Lichtenstein, {Michael J}",
note = "Funding Information: Acknowledgments This project was supported by (a) the National Center for Research Resources and the Division of Program Coordination, Planning, and Strategic Initiatives of the National Institutes of Health through a Science Education Partnership Award, Grant Number, R25-OD025122; (b) a Science Education Drug Abuse Partnership Award, R25-DA025578, from the National Institutes on Drug Abuse (NIDA); and (c) support from the Max and Minnie Tomerlin Voelcker Fund, which established the Voelcker Biosciences Teacher Academy. We gratefully acknowledge the academy teachers who assisted in data collection: Dabs Hollimon, Wanda Pagonis, and Raul Ramirez. We thank Cynthia Ortiz and William Sanns of the UT Health Science Center Department of Epidemiology and Biostatistics for their assistance with data management. We appreciate the cooperation of the CAST conference organizers, Frank Butcher and Lauren Swetland. Finally, we extend our heartfelt thanks to the 344 teachers who took time out of their conference schedule to complete the SETAKIST-R. They made this validation study possible.",
year = "2013",
month = nov,
doi = "10.1007/s10972-013-9351-2",
language = "English (US)",
volume = "24",
pages = "1133--1156",
journal = "Journal of Science Teacher Education",
issn = "1046-560X",
publisher = "Taylor and Francis Ltd.",
number = "7",
}