Background: Making clinical decisions is a complex process that encompasses assessing patient needs, identifying potential health problems, and developing and implementing appropriate interventions. The predictors of clinical decision‐making among registered nurses are not thoroughly understood.Aim: To investigate the potential predictors of clinical decision‐making in Jordanian registered nurses. Those predictors included age, gender, percent grade, experience, work hours per week, self‐initiated reading hours per week, and the four dimensions of self‐directed learning: learning motivation, planning and execution, self‐monitoring, and interpersonal relationships.Methods: The authors employed a cross‐sectional design. Registered nurses (N = 139) were recruited from a referral hospital in Jordan. A demographics questionnaire was used in this study. In addition, the nurse decision‐making instrument‐revised and the self‐directed learning instrument were used. Data were collected in August and September 2022. Data analysis was performed using Pearson’s r and multiple linear regression.Results: The results showed that registered nurses’ scores on nurse decision‐making instrument‐revised had positive correlations with age, experience, and self‐directed learning instrument scores. Multiple linear regression results revealed that the model was significant, and the explained variance of registered nurses’ clinical decision‐making was 53%. The following predictors significantly contributed to the regression model: registered nurses’ age, gender, percent grade, experience, and the four domains of self‐directed learning.Conclusion: There is a positive, moderate correlation between registered nurses’ self‐directed learning and clinical decision‐making. This study also showed that registered nurses’ clinical decision‐making is predicted by self‐directed learning and other factors including age, experience, and percent grades.