The main goal of the current study is to develop a reliable instrument to measure programming anxiety in university students. A pool of 33 items based on extensive literature review and experts' opinions were created by researchers. The draft scale comprised three factors applied to 392 university students from two different universities in Turkey for exploratory factor analysis. The number and character of the underlying components in the scale were determined using exploratory factor analysis. After exploratory factor analysis, confirmatory factor analysis was conducted on the draft scale using a sample of 295 university students. Confirmatory factor analysis was carried out to ensure that the data fit the retrieved factor structure. The internal consistency coefficient (Cronbach's alpha) was calculated for the full scale and each dimension for reliability analysis. For convergent validity, the factor loading of the indicator, the average variance extracted, composite reliability, and maximum share variance values were calculated. Additionally, convergent validity was tested through (1) comparison of mean values of factors and total programming anxiety depending on gender and (2) correlation analysis of factors, total programming anxiety, and course grade of students. The Fornell & Larcker criterion and the Heterotrait-Monotrait correlation ratio were utilized to assess discriminant validity. According to analysis results, the Programing Anxiety Scale (PAS) comprised 11 items in two factors: classmates and self-confidence. Similarly, results revealed that The PAS has good psychometric properties and can be used to assess the programming anxiety of university students.