Process Data in Computer-Based Assessment

Abstract

This editorial provides a comprehensive framework and overview of potential uses and next steps in research on process data in computer-based assessments, expanding toward broad perspectives on the field and an exploration of future directions and emerging trends. After briefly reflecting on the evolution of process data use in research and assessment practice, we discuss three key challenges, namely (1) the theoretical grounding and validation of process data indicators, (2) assessment design for process data, and (3) ethical standards. By considering best practice approaches in all three areas and current discussions in the literature, we conclude that a focus is needed on the following three areas: (1) strong, holistic theoretical frameworks for validating process data, (2) reliable, standardized data collections, preferably with a top-down approach to developing test items and preregistered hypotheses, and (3) ethical norms for data collection, data use, and guidelines for responsible inference, including restraints in decisions based on process data.

Green Disclosure and Innovation to Corporate Loan: Case of LQ45 Index Companies

“…(Dźwigoł, 2020;Leavy, 2017). Ethical considerations such as privacy, confidentiality, and data security are also addressed during the data collection process (Lindner & Greiff, 2023). The results of the linear panel regression analysis are expected to provide empirical insights into the relationship between a company's environmental initiatives and its access to corporate financing, as well as test the proposed hypotheses.…”