Trust in algorithms data set

Data summary = this is the raw data in the study: Marmolejo-Ramos, F, Marrone, R., Korolkiewicz, M., Gabriel, F., Siemens, G., Joksimovic, S., Yamada, Y., Mori, M., Rahwan T., Sahakyan, M., Sonna, B., Samekin, A., Som, B., Ndukaihe, I., Arinze, N. C., Kundrat, J., Ngo, G., Nguyen, G., Lacia, M., Kung, C., Irmayanti, M., Muktadir, A., Timoria Samosir. F., Liuzza, M, Omid, Hassan, Ozdogru, A., Ariyabuddhiphongs, K., Rakchai, W., Trujillo, N., Maris Valencia S., Janyan, A., Kostov, K., Montoro, P., Hinojosa, J., Medeiros, K., Hunt, T., Freitag, R., Posada, J., Tejada, J. Trust in algorithms. An experimental approach "ID": D for each participant "Country" "e" : factor variable identifying trials with or without explainability "S" : Factor variable identifying conditions of low and high stake "Item": Factor variable identifying each of the six scenarios. "Probability": Mean probability answered for the question 1 and 2 on the condition of stake described in the column S and e "Age" "Gender" "ADA": Numeric variable whihc represents the participant's level of familiarity with algorithms "BLISS": avearega number of correct answers of the fourteen items selected from Literacy In Statistics (BLIS)