Logo image
Examining the Psychometric Properties of Decisional Capital Instrument for Novice Teachers: Using Multidimensional Graded Response Model
Journal article   Peer reviewed

Examining the Psychometric Properties of Decisional Capital Instrument for Novice Teachers: Using Multidimensional Graded Response Model

Olasunkanmi Kehinde, Mubarak O Mojoyinola, Jeff Walls and Amanda Mayeaux
Australian journal of career development, Vol.35(2), pp.269-275
07/2026
DOI: 10.1177/10384162261451609

View Online

Abstract

This study validated a 20-item Decisional Capital (DC) scale for novice teachers using the Multidimensional Graded Response Model (MGRM), a multidimensional item response theory (MIRT) approach. Analyzing data from 499 novice teachers, the research supported a three-subscale structure and confirmed all items as meaningful contributors. The four-response category model showed optimal fit, with item discrimination parameters ranging from 1.07 to 3.95, effectively differentiating between low and high DC levels. Difficulty estimates indicated that teachers with low DC endorsed lower response categories. The MGRM analysis provided valuable psychometric insights, offering structural and item-level evidence in support of the scale's use in educational research and practice, and enhancing our understanding of decisional capital in novice teachers’ instructional decision-making processes.
MGRM decisional capital item response theory scale validation early career teacher

Details

Metrics

1 Record Views
Logo image