1 free read left. Create a free account for unlimited reading + AI research.
Create free accountWhitepaperAssociation for Computing Machinery
The Effectance in Games Scale, a tool frequently employed to quantify the enjoyment players derive from exerting influence within digital environments, fails to meet rigorous psychometric standards. An evaluation of the 11-item instrument reveals that it lacks a consistent unidimensional factor structure, rendering it unreliable for academic or industry research. The scale suffers from significant issues regarding discriminant validity, as it fails to effectively distinguish the specific construct of effectance from broader, established measures of player competence and general enjoyment.
Primary technical flaws contributing to these validity issues include the presence of reverse-coded items and an unintended secondary factor related to input lag. These elements introduce multidimensionality that obscures the intended measurement of player agency. Based on data collected from 467 participants, the current iteration of the scale is psychometrically unsuitable for assessing player motivation or experience. The findings suggest that the existing instrument conflates distinct psychological drivers, thereby undermining the accuracy of any data derived from its use.
To address these shortcomings, researchers should discontinue the use of the full 11-item scale. A refined, four-item version is proposed as a more robust alternative for future investigations into game-based motivation. Moving forward, the development of more precise instruments is essential to capture the nuanced relationship between player actions and psychological satisfaction. By moving away from flawed metrics, the field can better align its quantitative methods with established psychological theories regarding self-efficacy and mastery in interactive media.
Association for Computing Machinery · 2023