More than three hundred sincere and insincere (manipulated) surveys done using pairwise comparison method

The files contain pairwise comparison matrices (PC matrices) created by the anonymized respondents. Respondents had a general knowledge of the pairwise comparison method. They also understood the general regularity according to which the better the results an alternative receives in individual comparisons, the higher weight it will receive in the final prioritization vector. The file 7x7_hones.json contains 84 7 x 7 matrices for a survey in which all respondents were asked to answer the questions posed honestly. The file 7x7_dishonest.json contains 80 7 x 7 matrices for a survey in which all respondents were asked to answer the questions posed insincerely. The file 9x9_mixed_1.json contains 75 expert response records containing matrices of size 9 x 9 for a survey in which all respondents were asked to answer honestly or not honestly. Each record assigned to an expert additionally contains an “honesty” field with values of 0 or 1. Zero indicates an insincere - manipulated - response. 1 indicates a sincere response. The file 9x9_mixed_2_inc.json contains 70 expert response records containing a 9 x 9 matrix for a survey in which all respondents were asked to respond honestly or insincerely. Each of the records assigned to an expert additionally contains an “honesty” field with values of 0 or 1. Zero indicates an insincere - manipulated - response. 1 indicates a sincere answer. The data for one answer was corrupted, creating an incomplete matrix. Therefore, the record assigned to the expert has an additional is_complete tag indicating whether the matrix is complete or not. The missing space in the incomplete matrix was filled with a value of 0.