Document Type
Article
Abstract
The Delphi method has been adapted to inform item refinements in educational and psychological assessment development. An explanatory sequential mixed methods design using Delphi is a common approach to gain experts’ insight into why items might have exhibited differential item functioning (DIF) for a sub-group, indicating potential item bias. Use of Delphi before quantitative field testing to screen for potential sources leading to item bias is lacking in the literature. An exploratory sequential design is illustrated as an additional approach using a Delphi technique in Phase I and Rasch DIF analyses in Phase II. We introduce the 2 × 2 Concordance Integration Typology as a systematic way to examine agreement and disagreement across the qualitative and quantitative findings using a concordance joint display table. A worked example from the development of the Problem-Solving Measures Grades 6–8 Computer Adaptive Tests supported using an exploratory sequential design to inform item refinement. The 2 × 2 Concordance Integration Typology (a) crystallized instances where additional refinements were potentially needed and (b) provided for evaluating the distribution of bias across the set of items as a whole. Implications are discussed for advancing data integration techniques and using mixed methods to improve instrument development.
Copyright Statement
Publisher PDF
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Repository Citation
Koskey, Kristin L. K.; May, Toni A.; Fan, Yiyun "Kate"; Bright, Dara; Stone, Gregory; Matney, Gabriel T.; and Bostic, Jonathan D., "Flip It: An Exploratory (Versus Explanatory) Sequential Mixed Methods Design Using Delphi and Differential Item Functioning to Evaluate Item Bias" (2023). School of Inclusive Teacher Education Faculty Publications. 4.
https://scholarworks.bgsu.edu/site_pub/4
Publication Date
2023
Publication Title
Methods in Psychology
Publisher
Elsevier
DOI
https://doi.org/10.1016/j.metip.2023.100117
Volume
8