Revitalizing the Oddi Continuing Learning Inventory

The Oddi Continuing Learning Inventory (OCLI) is one of the most popular instruments for measuring self-directed learning (SDL). Although several previous studies have validated it, an exploratory application confirmatory factor analysis had not been attempted; such provided new insights. Responses from 159 students Aalborg University, a Problem-Based institution known its high degree project work, were analyzed. This investigation examines all previously suggested structures against commonly applied measures and further develops promising, identifying three-factor structure reaching standard thresholds model fit. newly identified underlying dimensions OCLI—internal locus control, ability to be self-regulating, avidity learning—simplify interpretation factors help mitigate some instrument’s problems. will serve keep OCLI relevant as instrument in future. We recommend revise OCLI, rephrasing reconceptualizing items that aged poorly well investigating pattern reverse-coded items. Lastly this paper suggests other statistical might revitalized through similar methods, taking advantage advances computation analysis.