https://orcid.org/0000-0003-2701-3402
Figures & data
Figure 1. Item Characteristics Curves (ICC, left) and Person-Item-Maps (PIM, right) for both dimensions of algorithm literacy (Study 2). ICCs visualize the probability of a correct response as a function of a person’s latent ability and the item’s difficulty and discrimination. The point of inflexion denotes the level of proficiency in the population at which the probability of solving the item is 50%. The slopes’ steepness represents the item discrimination (in Rasch models constrained across all items). The PIM plot ranks item difficulties (black dots) aligned with the actual proficiency distribution in the studied population. The slight S-curve indicates that the scales include more items at moderate difficulty levels and less items at lower or higher difficulty levels and thus adequately covers the proficiency range in the studied population
Table 1. Convergent validity of algorithm literacy: zero-order correlations
Table 2. Distribution of algorithm literacy in different subpopulations (Study 2)
Table 3. Criterion validity of algorithm literacy: logistic regression models predicting correct decision-making in each scenario