Chemical representations play an important role in helping learners to understand chemical contents.Thus, dealing with chemical representations is a necessity for learning chemistry, but at the same time, it presents a great challenge to learners. Due to this great challenge, it is not surprising that numerous national and international studies have shown that students have remarkable difficulties. Since most of the studies regarding chemical representations have focused on investigating high-school students' knowledge so far, little is known about university students' and especially student teachers' knowledge.The latter group is additionally challenged by the necessity of learning how to transform their own knowledge in order to teach chemical representations to their prospective students. Given this as a starting point, a paper-and-pencil test with 19 items in both semi-open and closed format was developed to investigate the extent of student teachers' knowledge of chemical representations. The present paper describes the design, validation, and psychometric analysis of this test instrument -the so-called Chemical Representations Inventory (CRI). The CRI includes a variety of chemical representations and chemical contents on both high-school and university level. Both classical test theory and Rasch modelling were used for the analysis. In addition, a qualitative analysis was performed, and factors which possibly influence the item difficulty were identified. Even though the CRI was originally developed for a sample of student teachers, it can also be used to measure chemistry students' knowledge on a basic level. Fig. 4 Wright maps of the data. The left side of each map reflects the distribution of the students according to their ability measured by the inventory (from most able at the top to least able at the bottom). The right side of the first map shows the items distributed from the most difficult at the top to the least difficult at the bottom. The right side of the second map shows the Thurstonian thresholds for the items with a partial credit coding. The notation xÁy is used to indicate the y-th threshold of the x-th item. For example, it was most difficult to achieve the second threshold, i.e. full credit, in item 14 and the easiest to get a partial credit in item 6. In both maps, M represents the mean and SD the standard deviation of personal abilities. The mean of the item difficulties is always centered automatically at zero. The difference of 0.33 logits between the students' and items' mean indicates that the CRI was slightly too easy for this sample of student teachers.