Increased accessibility of computer-based testing for residency application to a hospital in Brazil with item characteristics comparable to paper-based testing: a psychometric studydoi:10.7910/DVN/YJP1ZMHarvard Dataverse2024-11-121Marcos Carvalho Borges; Luciane Loures Santos; Paulo Henrique Manso; Elaine Christine Dantas Moisés; Pedro Soler Coltro; Priscilla Costa Fonseca; Paulo Roberto Alves Gentil; Rodrigo de Carvalho Santana; Lucas Faria Rodrigues; Benedito Carlos Maciel; Hilton Marcos Alves Ricz, 2024, "Increased accessibility of computer-based testing for residency application to a hospital in Brazil with item characteristics comparable to paper-based testing: a psychometric study", https://doi.org/10.7910/DVN/YJP1ZM, Harvard Dataverse, V1, UNF:6:7hJvgsSQLwVO5G4u8QCewg== [fileUNF]Increased accessibility of computer-based testing for residency application to a hospital in Brazil with item characteristics comparable to paper-based testing: a psychometric studydoi:10.7910/DVN/YJP1ZMMarcos Carvalho BorgesLuciane Loures SantosPaulo Henrique MansoElaine Christine Dantas MoisésPedro Soler ColtroPriscilla Costa FonsecaPaulo Roberto Alves GentilRodrigo de Carvalho SantanaLucas Faria RodriguesBenedito Carlos MacielHilton Marcos Alves RiczHarvard DataverseMarcos Carvalho BorgesCho, A Ra2024-11-10Medicine, Health and Life SciencesWith the COVID-19 pandemic, online high-stakes exams have become a viable alternative. This study evaluated the feasibility of computer-based testing (CBT) for medical residency applications in Brazil and its impacts on item quality and applicants' access compared to paper-based testing. In 2020, an online CBT was conducted in a Ribeirao Preto Clinical Hospital in Brazil. In total, 120 multiple-choice question items were constructed. Two years later, the exam was performed as paper-based testing. Item construction processes were similar for both exams. Difficulty and discrimination indexes, point-biserial coefficient, difficulty, discrimination, guessing parameters, and Cronbach's alpha coefficient were measured based on the item response and classical test theories. Internet stability for applicants was monitored.<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>Dataset 1. Raw responses of 3,223 applicants to 120 multiple-choice items of computer-based testing for residency in a hospital in Brazil.tab3223122text/tab-separated-valuesUNF:6:tdf436dVD4JlMeiKbkcQRg==Dataset 2. Correct options for 120 items of the computer-based testing.tab1120text/tab-separated-valuesUNF:6:fmnZJp0q9BIWYnQLDQHUxA==Dataset 3. Raw responses of 1, 994 applicants to 100 multiple choice items of paper-based testing for residency in a hospital in Brazil.tab1994102text/tab-separated-valuesUNF:6:J/R6df+/FFQDXNJDX7Evrg==Dataset 4. Correct options or 100 items for paper-based testing.tab1100text/tab-separated-valuesUNF:6:mg/8lJcW5WIgjC6TOJqhNA==ID1612.01612.0930.54428517221393223.0.1.00.03223.0UNF:6:0+M0UvfYT0QWOTkzhgX7sg==CAD1.01.01.01.03223.00.0.0.0UNF:6:Plh7UfCEW7d14hBazuPZyA==1UNF:6:hUpqIK9U9eZwWGrEk5EA/A==2UNF:6:ViiW7CL43OAN9Z8Xo6R++A==3UNF:6:jj8QvO7zS5qY5WSR2GpN+A==4UNF:6:LOrYteO0ndJmn+k/yy81IA==5UNF:6:oGgGJV5oJLY4s8b3omIsJg==6UNF:6:DGyBOD0vabyeqZ/81hQiOA==7UNF:6:kIC2Um1EIvvZJ/NB/PJIJw==8UNF:6:VtcJncvsZY9VQ5wnLeO+pQ==9UNF:6:Mbyhm32rM1ie7tDrOEm97A==10UNF:6:4eX8PiO0BwcX47Uk10NMpw==11UNF:6:eWF4b52hL9+TgPK52yEO+g==12UNF:6:obbmIr/vToJD5jVIX5jdsg==13UNF:6:MeFyM9g8TPkgs5VIKA73OQ==14UNF:6:J2exYdbpgtLSRqgWuQ1J8w==15UNF:6:A3aP5QcPAi6drAmrLO/wFQ==16UNF:6:UpN5vI8dAbaFGUXLwV0Rqg==17UNF:6:3m2VC9Jx/LbyziwC/pZBng==18UNF:6:zzx6hwTlSXGrMpPzg0Iyqg==19UNF:6:2/PyXJZXq4fkVBZ4+3027A==20UNF:6:RZD6F2jUDK9KjIWeTRyzvQ==21UNF:6:kW3RI0RWrCti3Sk5jPvcrA==22UNF:6:E7dsOpHu/uspPT37RU350Q==23UNF:6:REcGacFIljLnya7jmzuRsA==24UNF:6:ghw3Bjp029vmJKN1zl5e5Q==25UNF:6:6EmRVuMBWg9bMtpy4JjR4Q==26UNF:6:nHI2KoQSR06zj96ERj1TPw==27UNF:6:pibh6G+i3vxcOh1lcCOL/w==28UNF:6:URBh7BmXbez3XkS3WG2RuQ==29UNF:6:EqCoDIqVc3UdIHqaCSfguw==30UNF:6:RQypk0p4UzXCfzj0bnJQKw==31UNF:6:fBsRahoJB9pFJCkt0KXlpg==32UNF:6:3HpO+3PUsAzzOOH+ZFiq1A==33UNF:6:fUfsO+QLtpmIuxK07VuOyQ==34UNF:6:VZi5wO9CyU0MCLW+krqUMA==35UNF:6:5NzRllKIp9KH4jEhqk95BA==36UNF:6:jX721w/34G9OOCOuU3jmKA==37UNF:6:Ryn0aR2Id43+si2Q9sr21w==38UNF:6:WtRZR9cRp6uoKNSP36nGUA==39UNF:6:tHP5kYW1eNqPC+IEa7bIEw==40UNF:6:k5KLYzNOlPG/QlDLDMRLBg==41UNF:6:LT0WnujvKGvPqCroE5Pf0g==42UNF:6:MFMuriMzQahVhHvIElq8Pg==43UNF:6:CpiFMeeypezJrry8wDA7Zg==44UNF:6:R85OHdhDpNBJU79SdelaVQ==45UNF:6:6oTn5QFfl+QL1qsEtD4oVA==46UNF:6:4z4peQ+tHtfPbTnP/oCBxA==47UNF:6:gV+n3n4PBjkA4rk3z6pDkA==48UNF:6:tnoKTFyuV5aet3BCKcjKKg==49UNF:6:j/zjdCEnr7iBKlblIyaRoA==50UNF:6:rKrYps8RhnmUto3Z56zqyQ==51UNF:6:zW0SfQ9apIfMaZBo2CBjhg==52UNF:6:5XWdZYSwuPo1o2CqS3rj1g==53UNF:6:XARbbQQCs3NyPuLGK15V4w==54UNF:6:lrkvml6U0SElRMFRa6GkFw==55UNF:6:TalHtxXwJFTNg1JuoJLBzw==56UNF:6:4XppwB3SUbL7ha7ROSFMCQ==57UNF:6:oCGpqbTWPgg8lEoiio5xlA==58UNF:6:zUCJ31zWV4XrCcMMqZ17Fg==59UNF:6:eVo+gPL4JvG1BHsdPznxLA==60UNF:6:nbYm4QOodfwfmqOdprPrAA==61UNF:6:vMGy2ALO13b1+g0IY55smg==62UNF:6:PYNrJ/Sd7mFOu/qq4g3TWQ==63UNF:6:r8hp2QVqaVcVziBjgHngjg==64UNF:6:IbRb0gHU0RybaAEJfLy5sg==65UNF:6:enSUCjiZTQ59kZMVUmgkHA==66UNF:6:nFDeFtRozWrE5OYlQozt6Q==67UNF:6:YIKH3r5rM/Wvlv76qmj0YQ==68UNF:6:k3y2R6FG21AtsAp02SMf1Q==69UNF:6:P117mP2bpaiqdf/UPX+NUw==70UNF:6:2GT2CI1PyfHGrAWKhTnHMg==71UNF:6:sAtXuQ6mdgN7oOmS5DGMug==72UNF:6:6dQRDGp6UXtNmYQT0FW4fA==73UNF:6:/anPMwTULzU70h66galzlw==74UNF:6:Z5+yyqWt3h3FLD5uEG9ESg==75UNF:6:Qbe7c0P0MYznyNNMMcTa2Q==76UNF:6:iJDnm2Kh1lmrQ5039lr7RA==77UNF:6:T45K4uuxkYx/p5rYFN5dgg==78UNF:6:qJOBUp/ndiAk2EC31f+G5w==79UNF:6:Q17RBVp1wzbnVPIhcommDg==80UNF:6:tHot3Cf9o4C4iKyR/J48tw==81UNF:6:10MnARhISShkeX7OZ2ob3g==82UNF:6:KP+aY3z3ipdB8MR37vwQfQ==83UNF:6:KFZUwIFqMVp23XqAnjMoSQ==84UNF:6:HqOtstyD4y5GEmY5PXwvlQ==85UNF:6:XZPuwxVOIykckdrkAfdFtA==86UNF:6:pxSBjnqvfQwiwVn3ZAX4Ow==87UNF:6:DKbQdROi7N0EITQWwWUKMA==88UNF:6:0bvlKd7SgYctr/f32TOyyA==89UNF:6:Q9P0N7Eh0dy1SQUWC5p2QQ==90UNF:6:diwsnMW/uUXn2d+okkE/oA==91UNF:6:rnwT6aaLtGGplc6ecbNnUQ==92UNF:6:o5q7+Yfo4HdTKFYnFyFTmQ==93UNF:6:GV2gDZYS6iM61NvqDbcZlQ==94UNF:6:B0eEVgNsqBTu9L1vM5+lNw==95UNF:6:f9UPcuXUCfprJhe7SyzHEg==96UNF:6:yT9go+//BUkyh77Y01W17Q==97UNF:6:0+br5OXLMnx9s2nGitDOzQ==98UNF:6:ZA/ghcJXtjCu2cj2EhapmA==99UNF:6:w8N+rWs5dZzBBecIWRPQ/w==100UNF:6:lkql3rU0BGUQmeQcs+IkEw==101UNF:6:+0L3urORl/PaNQMjf83/eg==102UNF:6:/X2pDkuHbXgC06PeBNeV7w==103UNF:6:U5Hb460T1RiQ1nNkRShu3w==104UNF:6:4MfqKbACPAAhVsC9ZEwibw==105UNF:6:c3P0fbv5xtAk5W1wEp7N/g==106UNF:6:FriMeOyWU7s/aOYWjaHqnQ==107UNF:6:lN+sXud0DDAt2mZY24BxlA==108UNF:6:jRjd+k6a7EyTOrV5f7z+Rw==109UNF:6:rXHqZpRCVfTugKU2jHaO+g==110UNF:6:rH5gZRB/3X35fSzB9RCR2A==111UNF:6:xDtu+ta9FnW2pcLSeZfHgA==112UNF:6:ox29FrEh1hIELGT3Y/oG/Q==113UNF:6:AqcGPgyfBfLSpPuMvFLIyQ==114UNF:6:cy+VYiM1zg2rUBcoo6vKqg==115UNF:6:DOZSEItC2c/Qp7MImrI9Nw==116UNF:6:PRhztbir5UN0EVDEPbv/0Q==117UNF:6:ywFVqpp9xbt7OQSnF5DRUg==118UNF:6:86Vzc1hlKHtyGWrrIVUQWA==119UNF:6:8LEowDcBD3U2E7iE+W/s0w==120UNF:6:JXWR4Pu8tozzGX45E/F1Bg==1UNF:6:vYgU5s5hPcNDHfe9Nid/Og==2UNF:6:i2gFHUptpl6P5m3gtG2J4g==3UNF:6:IPkMEN8vWCBjNoyd10pomA==4UNF:6:IPkMEN8vWCBjNoyd10pomA==5UNF:6:i2gFHUptpl6P5m3gtG2J4g==6UNF:6:IPkMEN8vWCBjNoyd10pomA==7UNF:6:HGT9YQIyOm1XbiiLL1p5hw==8UNF:6:i2gFHUptpl6P5m3gtG2J4g==9UNF:6:IPkMEN8vWCBjNoyd10pomA==10UNF:6:HGT9YQIyOm1XbiiLL1p5hw==11UNF:6:i2gFHUptpl6P5m3gtG2J4g==12UNF:6:IPkMEN8vWCBjNoyd10pomA==13UNF:6:IPkMEN8vWCBjNoyd10pomA==14UNF:6:vYgU5s5hPcNDHfe9Nid/Og==15UNF:6:i2gFHUptpl6P5m3gtG2J4g==16UNF:6:vYgU5s5hPcNDHfe9Nid/Og==17UNF:6:vYgU5s5hPcNDHfe9Nid/Og==18UNF:6:HGT9YQIyOm1XbiiLL1p5hw==19UNF:6:i2gFHUptpl6P5m3gtG2J4g==20UNF:6:HGT9YQIyOm1XbiiLL1p5hw==21UNF:6:IPkMEN8vWCBjNoyd10pomA==22UNF:6:HGT9YQIyOm1XbiiLL1p5hw==23UNF:6:i2gFHUptpl6P5m3gtG2J4g==24UNF:6:IPkMEN8vWCBjNoyd10pomA==25UNF:6:HGT9YQIyOm1XbiiLL1p5hw==26UNF:6:HGT9YQIyOm1XbiiLL1p5hw==27UNF:6:vYgU5s5hPcNDHfe9Nid/Og==28UNF:6:HGT9YQIyOm1XbiiLL1p5hw==29UNF:6:i2gFHUptpl6P5m3gtG2J4g==30UNF:6:vYgU5s5hPcNDHfe9Nid/Og==31UNF:6:IPkMEN8vWCBjNoyd10pomA==32UNF:6:vYgU5s5hPcNDHfe9Nid/Og==33UNF:6:i2gFHUptpl6P5m3gtG2J4g==34UNF:6:IPkMEN8vWCBjNoyd10pomA==35UNF:6:i2gFHUptpl6P5m3gtG2J4g==36UNF:6:IPkMEN8vWCBjNoyd10pomA==37UNF:6:IPkMEN8vWCBjNoyd10pomA==38UNF:6:vYgU5s5hPcNDHfe9Nid/Og==39UNF:6:vYgU5s5hPcNDHfe9Nid/Og==40UNF:6:vYgU5s5hPcNDHfe9Nid/Og==41UNF:6:HGT9YQIyOm1XbiiLL1p5hw==42UNF:6:i2gFHUptpl6P5m3gtG2J4g==43UNF:6:IPkMEN8vWCBjNoyd10pomA==44UNF:6:HGT9YQIyOm1XbiiLL1p5hw==45UNF:6:HGT9YQIyOm1XbiiLL1p5hw==46UNF:6:IPkMEN8vWCBjNoyd10pomA==47UNF:6:vYgU5s5hPcNDHfe9Nid/Og==48UNF:6:IPkMEN8vWCBjNoyd10pomA==49UNF:6:i2gFHUptpl6P5m3gtG2J4g==50UNF:6:IPkMEN8vWCBjNoyd10pomA==51UNF:6:vYgU5s5hPcNDHfe9Nid/Og==52UNF:6:i2gFHUptpl6P5m3gtG2J4g==53UNF:6:HGT9YQIyOm1XbiiLL1p5hw==54UNF:6:i2gFHUptpl6P5m3gtG2J4g==55UNF:6:vYgU5s5hPcNDHfe9Nid/Og==56UNF:6:vYgU5s5hPcNDHfe9Nid/Og==57UNF:6:i2gFHUptpl6P5m3gtG2J4g==58UNF:6:i2gFHUptpl6P5m3gtG2J4g==59UNF:6:i2gFHUptpl6P5m3gtG2J4g==60UNF:6:vYgU5s5hPcNDHfe9Nid/Og==61UNF:6:HGT9YQIyOm1XbiiLL1p5hw==62UNF:6:IPkMEN8vWCBjNoyd10pomA==63UNF:6:vYgU5s5hPcNDHfe9Nid/Og==64UNF:6:HGT9YQIyOm1XbiiLL1p5hw==65UNF:6:IPkMEN8vWCBjNoyd10pomA==66UNF:6:vYgU5s5hPcNDHfe9Nid/Og==67UNF:6:HGT9YQIyOm1XbiiLL1p5hw==68UNF:6:i2gFHUptpl6P5m3gtG2J4g==69UNF:6:HGT9YQIyOm1XbiiLL1p5hw==70UNF:6:HGT9YQIyOm1XbiiLL1p5hw==71UNF:6:HGT9YQIyOm1XbiiLL1p5hw==72UNF:6:HGT9YQIyOm1XbiiLL1p5hw==73UNF:6:i2gFHUptpl6P5m3gtG2J4g==74UNF:6:i2gFHUptpl6P5m3gtG2J4g==75UNF:6:vYgU5s5hPcNDHfe9Nid/Og==76UNF:6:i2gFHUptpl6P5m3gtG2J4g==77UNF:6:vYgU5s5hPcNDHfe9Nid/Og==78UNF:6:HGT9YQIyOm1XbiiLL1p5hw==79UNF:6:IPkMEN8vWCBjNoyd10pomA==80UNF:6:HGT9YQIyOm1XbiiLL1p5hw==81UNF:6:IPkMEN8vWCBjNoyd10pomA==82UNF:6:IPkMEN8vWCBjNoyd10pomA==83UNF:6:IPkMEN8vWCBjNoyd10pomA==84UNF:6:IPkMEN8vWCBjNoyd10pomA==85UNF:6:vYgU5s5hPcNDHfe9Nid/Og==86UNF:6:IPkMEN8vWCBjNoyd10pomA==87UNF:6:vYgU5s5hPcNDHfe9Nid/Og==88UNF:6:IPkMEN8vWCBjNoyd10pomA==89UNF:6:i2gFHUptpl6P5m3gtG2J4g==90UNF:6:vYgU5s5hPcNDHfe9Nid/Og==91UNF:6:vYgU5s5hPcNDHfe9Nid/Og==92UNF:6:vYgU5s5hPcNDHfe9Nid/Og==93UNF:6:IPkMEN8vWCBjNoyd10pomA==94UNF:6:i2gFHUptpl6P5m3gtG2J4g==95UNF:6:i2gFHUptpl6P5m3gtG2J4g==96UNF:6:i2gFHUptpl6P5m3gtG2J4g==97UNF:6:vYgU5s5hPcNDHfe9Nid/Og==98UNF:6:i2gFHUptpl6P5m3gtG2J4g==99UNF:6:i2gFHUptpl6P5m3gtG2J4g==100UNF:6:IPkMEN8vWCBjNoyd10pomA==101UNF:6:IPkMEN8vWCBjNoyd10pomA==102UNF:6:HGT9YQIyOm1XbiiLL1p5hw==103UNF:6:HGT9YQIyOm1XbiiLL1p5hw==104UNF:6:IPkMEN8vWCBjNoyd10pomA==105UNF:6:HGT9YQIyOm1XbiiLL1p5hw==106UNF:6:IPkMEN8vWCBjNoyd10pomA==107UNF:6:IPkMEN8vWCBjNoyd10pomA==108UNF:6:HGT9YQIyOm1XbiiLL1p5hw==109UNF:6:HGT9YQIyOm1XbiiLL1p5hw==110UNF:6:i2gFHUptpl6P5m3gtG2J4g==111UNF:6:HGT9YQIyOm1XbiiLL1p5hw==112UNF:6:HGT9YQIyOm1XbiiLL1p5hw==113UNF:6:vYgU5s5hPcNDHfe9Nid/Og==114UNF:6:HGT9YQIyOm1XbiiLL1p5hw==115UNF:6:HGT9YQIyOm1XbiiLL1p5hw==116UNF:6:i2gFHUptpl6P5m3gtG2J4g==117UNF:6:IPkMEN8vWCBjNoyd10pomA==118UNF:6:IPkMEN8vWCBjNoyd10pomA==119UNF:6:i2gFHUptpl6P5m3gtG2J4g==120UNF:6:vYgU5s5hPcNDHfe9Nid/Og==ID1083.682046138421630.33328755152231.0.2196.00.01994.01076.5UNF:6:jXJdNay7aDlxXzpJ3vgAxA==CADERNO1.01.00.0.1994.01.01.00.0UNF:6:MtQ3lxjzFc9TECkl4IOgXA==1UNF:6:1SYa/VDvUpq5adwtEZZ/8g==2UNF:6:RF/1j2TI5TD2BEoMna7kzw==3UNF:6:CYTpzROci/eOGHlTcMgfSQ==4UNF:6:7Ww6lzYWj2sUEHZpuxIlzA==5UNF:6:ipnYH3Y0gqpNrdFWc303zQ==6UNF:6:R4gjjtVaGAQXZqOHneGaRg==7UNF:6:CN1qn4QjfptEHZwiIsF3QA==8UNF:6:AxxpkONNO8pSKrRAFPt84w==9UNF:6:i28HQXpd0pGY1bjc/qD/FA==10UNF:6:OGkIjHzUK9bEosJiDZmg7g==11UNF:6:JrRDL6NjUvi9IRe3DkhBdQ==12UNF:6:0umFwQIODqy8j5hhIq36aQ==13UNF:6:THyWTqtWswiscA0b6/58+g==14UNF:6:LAfmZ/jr2EpAUwuv6Wz/8Q==15UNF:6:pHBSwvDnwIJBijPVfqd7oQ==16UNF:6:H1zJP+aGjZ/eYMFScbn5vQ==17UNF:6:PSZ6YKVK8iVR3Nrb935NrA==18UNF:6:HtqRPC8QO8mq8VXLTHtJAA==19UNF:6:6XTnTdKbbnHY677UruypHQ==20UNF:6:j9yCI5Dr2LwqkiQ/ZG7Wfw==21UNF:6:zKTDR8MQZ1UAM1w35/C8qA==22UNF:6:w2/nh5Z+BI8bpUwyj867Qg==23UNF:6:K0hUkKkPIuKOOWtdpPXvsg==24UNF:6:OyGrfAHh/zH7LagBcDR4AA==25UNF:6:4lnAad6sd8W3x14SbMJ77g==26UNF:6:BgmLhDv8kW3gq4vGWWLJSA==27UNF:6:vIRuaJQt8jsmuEYjl/P8jA==28UNF:6:ZD2j7gMnY+VhsF5dMazMgA==29UNF:6:x7DHsk7Hx8C4iuh1EfV8eQ==30UNF:6:d07YxhTlNfrVHAXPRDEZRw==31UNF:6:l43RZZIrDoVf+1Su0k6d6Q==32UNF:6:J4b1Q8rgYuCwwuKwPH9+9w==33UNF:6:HRJD4zkG8jSgW1dZQz9ozQ==34UNF:6:7NOJDael86QxtOPGMHLGuA==35UNF:6:kcl/SfxQ0ieBjGRx+e1Vag==36UNF:6:RVF577ltmawDPJ38FcGzNg==37UNF:6:rYZ7Sg2taVZwQkWUCz3WiQ==38UNF:6:GSAZbprGrZIwKlMcEQGBAQ==39UNF:6:PORpXsgLo5frkKXWY3oodg==40UNF:6:fVeU6NC2Plfzkk/vwqzZPA==41UNF:6:3gevH6w/FXN1F96R6ouVHg==42UNF:6:IsEMG70gRFcvUndxhiqskw==43UNF:6:LZAZHAm6JKFbove3ZY5GVg==44UNF:6:sXYZ0R+dfaBHRJkdADKWmg==45UNF:6:HT3m+1WV62oUocfbt8jByw==46UNF:6:n6s67EKNPGK+CMNpLkQ5vg==47UNF:6:E3/5Z9UBuOOtOKKNk6ENxw==48UNF:6:NqMGU+hqNKkD9DYQhRbDPA==49UNF:6:VaAXV2B+DkueEigg2b3frA==50UNF:6:skkIqkHJ63YyTxH57p9qEg==51UNF:6:5RDxX6aMFoH9/NFOMdtq5w==52UNF:6:yW/3vuer1FuCnrFEpoHixg==53UNF:6:wHSzdKog2wwX+JjXM6UePw==54UNF:6:KfBCLETPb9AM8bOh8Cy0oA==55UNF:6:oyn0Y8xv72VuBbpL/xgBUw==56UNF:6:+uBSApTIdqEI7+Ls/BAIRA==57UNF:6:e5/JtYES8gvl6msxoHJemg==58UNF:6:vA2slerW0vxQRWVk2FsPVQ==59UNF:6:DccHJGpQPEMeWwKoEIrKqg==60UNF:6:iA1OODCvSd2DpVW8ATVtSg==61UNF:6:CipyWtzJq635R+TQvxjxbQ==62UNF:6:6rdUPYqWRLfcxVPTMZRmMw==63UNF:6:EqtGYPR6BKxgZOp9Yh7fsA==64UNF:6:3VtNklYgAE6k7DtLrp2iVA==65UNF:6:0z0182KK+AKbv73Smalb/w==66UNF:6:d9hqGVPJEB1tyxHNU0NBfQ==67UNF:6:8C2S6M9TeCQpMVzh4bMO8w==68UNF:6:qZCEz1M9jD5R/ee96ZqBDg==69UNF:6:p1gUn6wTXOrrMSm+GP3vDg==70UNF:6:9SfS970gmiJdzHwnfMNRDA==71UNF:6:hwJsxN9moQ4XuwniDw0ocg==72UNF:6:ryY82FJDI+cHE5XRJLtleg==73UNF:6:cnjoOFgCGE6IPF4QhN/jaA==74UNF:6:w5ZaS3hnX4fBQykYHCxSDQ==75UNF:6:UFNp5dWRkRyfdC5Qe8UGRg==76UNF:6:Khe59wex5qBx2tP0lXX/9Q==77UNF:6:puEJMzDw2mq2kkZLcCxJhA==78UNF:6:eUuG1EM0nYosREmwuri76g==79UNF:6:kAfTyTKiKXbcfY4COgL9Qg==80UNF:6:rjEK6+OSDEw0Vpfmsxer1g==81UNF:6:OXERYJmixOw0M6SpkEZxqw==82UNF:6:ovS0/JJ/HBznluuvKIPVzQ==83UNF:6:WgYA0Q+wV5Um+ijLZ4s3dg==84UNF:6:0wkBXJsMdckChAhhYK+2Ng==85UNF:6:05g9MV+a7nDXw0RKGjqXlw==86UNF:6:iX56Uagm84BvnFDmBO0ITA==87UNF:6:HYdh/wOxRiTa3SU/aLfLoQ==88UNF:6:Q7CSG3eqzvEeh2uuuXMuzg==89UNF:6:PU7vwjWFue3SajBqfnDYOQ==90UNF:6:jPgp7/QIlNIxBTZfndz5Mg==91UNF:6:U7SKWnlhl5/nS/CJJvn6Kg==92UNF:6:e+JDiu8gEVdEmBROT0Z+RQ==93UNF:6:WEiRPNBGInqikizbzaEVOw==94UNF:6:m6ul+BnBI8CcllOfFtigBA==95UNF:6:2cJC2/q0uBPMDFWFzNud0A==96UNF:6:PZLce7OaBelK93oJerwabw==97UNF:6:10D4gBgbJrs8KBzNB7MwmQ==98UNF:6:exjnkyIlUUvwEsWG/KLXYw==99UNF:6:mxm48YyUhxg6H4e215mVew==100UNF:6:NlqlVk+y3Hu9WP2I7rB35Q==1UNF:6:IPkMEN8vWCBjNoyd10pomA==2UNF:6:vYgU5s5hPcNDHfe9Nid/Og==3UNF:6:IPkMEN8vWCBjNoyd10pomA==4UNF:6:HGT9YQIyOm1XbiiLL1p5hw==5UNF:6:i2gFHUptpl6P5m3gtG2J4g==6UNF:6:IPkMEN8vWCBjNoyd10pomA==7UNF:6:i2gFHUptpl6P5m3gtG2J4g==8UNF:6:IPkMEN8vWCBjNoyd10pomA==9UNF:6:IPkMEN8vWCBjNoyd10pomA==10UNF:6:i2gFHUptpl6P5m3gtG2J4g==11UNF:6:HGT9YQIyOm1XbiiLL1p5hw==12UNF:6:vYgU5s5hPcNDHfe9Nid/Og==13UNF:6:i2gFHUptpl6P5m3gtG2J4g==14UNF:6:IPkMEN8vWCBjNoyd10pomA==15UNF:6:IPkMEN8vWCBjNoyd10pomA==16UNF:6:HGT9YQIyOm1XbiiLL1p5hw==17UNF:6:HGT9YQIyOm1XbiiLL1p5hw==18UNF:6:vYgU5s5hPcNDHfe9Nid/Og==19UNF:6:HGT9YQIyOm1XbiiLL1p5hw==20UNF:6:IPkMEN8vWCBjNoyd10pomA==21UNF:6:i2gFHUptpl6P5m3gtG2J4g==22UNF:6:HGT9YQIyOm1XbiiLL1p5hw==23UNF:6:vYgU5s5hPcNDHfe9Nid/Og==24UNF:6:vYgU5s5hPcNDHfe9Nid/Og==25UNF:6:vYgU5s5hPcNDHfe9Nid/Og==26UNF:6:IPkMEN8vWCBjNoyd10pomA==27UNF:6:i2gFHUptpl6P5m3gtG2J4g==28UNF:6:vYgU5s5hPcNDHfe9Nid/Og==29UNF:6:vYgU5s5hPcNDHfe9Nid/Og==30UNF:6:IPkMEN8vWCBjNoyd10pomA==31UNF:6:HGT9YQIyOm1XbiiLL1p5hw==32UNF:6:vYgU5s5hPcNDHfe9Nid/Og==33UNF:6:HGT9YQIyOm1XbiiLL1p5hw==34UNF:6:HGT9YQIyOm1XbiiLL1p5hw==35UNF:6:vYgU5s5hPcNDHfe9Nid/Og==36UNF:6:IPkMEN8vWCBjNoyd10pomA==37UNF:6:i2gFHUptpl6P5m3gtG2J4g==38UNF:6:HGT9YQIyOm1XbiiLL1p5hw==39UNF:6:i2gFHUptpl6P5m3gtG2J4g==40UNF:6:HGT9YQIyOm1XbiiLL1p5hw==41UNF:6:IPkMEN8vWCBjNoyd10pomA==42UNF:6:i2gFHUptpl6P5m3gtG2J4g==43UNF:6:IPkMEN8vWCBjNoyd10pomA==44UNF:6:HGT9YQIyOm1XbiiLL1p5hw==45UNF:6:HGT9YQIyOm1XbiiLL1p5hw==46UNF:6:HGT9YQIyOm1XbiiLL1p5hw==47UNF:6:IPkMEN8vWCBjNoyd10pomA==48UNF:6:vYgU5s5hPcNDHfe9Nid/Og==49UNF:6:i2gFHUptpl6P5m3gtG2J4g==50UNF:6:i2gFHUptpl6P5m3gtG2J4g==51UNF:6:vYgU5s5hPcNDHfe9Nid/Og==52UNF:6:HGT9YQIyOm1XbiiLL1p5hw==53UNF:6:IPkMEN8vWCBjNoyd10pomA==54UNF:6:HGT9YQIyOm1XbiiLL1p5hw==55UNF:6:IPkMEN8vWCBjNoyd10pomA==56UNF:6:IPkMEN8vWCBjNoyd10pomA==57UNF:6:vYgU5s5hPcNDHfe9Nid/Og==58UNF:6:vYgU5s5hPcNDHfe9Nid/Og==59UNF:6:HGT9YQIyOm1XbiiLL1p5hw==60UNF:6:i2gFHUptpl6P5m3gtG2J4g==61UNF:6:HGT9YQIyOm1XbiiLL1p5hw==62UNF:6:vYgU5s5hPcNDHfe9Nid/Og==63UNF:6:IPkMEN8vWCBjNoyd10pomA==64UNF:6:vYgU5s5hPcNDHfe9Nid/Og==65UNF:6:i2gFHUptpl6P5m3gtG2J4g==66UNF:6:i2gFHUptpl6P5m3gtG2J4g==67UNF:6:IPkMEN8vWCBjNoyd10pomA==68UNF:6:i2gFHUptpl6P5m3gtG2J4g==69UNF:6:i2gFHUptpl6P5m3gtG2J4g==70UNF:6:i2gFHUptpl6P5m3gtG2J4g==71UNF:6:vYgU5s5hPcNDHfe9Nid/Og==72UNF:6:HGT9YQIyOm1XbiiLL1p5hw==73UNF:6:vYgU5s5hPcNDHfe9Nid/Og==74UNF:6:HGT9YQIyOm1XbiiLL1p5hw==75UNF:6:IPkMEN8vWCBjNoyd10pomA==76UNF:6:i2gFHUptpl6P5m3gtG2J4g==77UNF:6:HGT9YQIyOm1XbiiLL1p5hw==78UNF:6:i2gFHUptpl6P5m3gtG2J4g==79UNF:6:vYgU5s5hPcNDHfe9Nid/Og==80UNF:6:vYgU5s5hPcNDHfe9Nid/Og==81UNF:6:i2gFHUptpl6P5m3gtG2J4g==82UNF:6:HGT9YQIyOm1XbiiLL1p5hw==83UNF:6:i2gFHUptpl6P5m3gtG2J4g==84UNF:6:IPkMEN8vWCBjNoyd10pomA==85UNF:6:i2gFHUptpl6P5m3gtG2J4g==86UNF:6:vYgU5s5hPcNDHfe9Nid/Og==87UNF:6:IPkMEN8vWCBjNoyd10pomA==88UNF:6:i2gFHUptpl6P5m3gtG2J4g==89UNF:6:i2gFHUptpl6P5m3gtG2J4g==90UNF:6:IPkMEN8vWCBjNoyd10pomA==91UNF:6:i2gFHUptpl6P5m3gtG2J4g==92UNF:6:i2gFHUptpl6P5m3gtG2J4g==93UNF:6:IPkMEN8vWCBjNoyd10pomA==94UNF:6:HGT9YQIyOm1XbiiLL1p5hw==95UNF:6:vYgU5s5hPcNDHfe9Nid/Og==96UNF:6:IPkMEN8vWCBjNoyd10pomA==97UNF:6:IPkMEN8vWCBjNoyd10pomA==98UNF:6:HGT9YQIyOm1XbiiLL1p5hw==99UNF:6:i2gFHUptpl6P5m3gtG2J4g==100UNF:6:IPkMEN8vWCBjNoyd10pomA==Supplement 1. R code for the unidimensionality test.type/x-r-syntaxSupplement 2. R code for the item analyses based on the classical test theorytype/x-r-syntaxSupplement 3. R code for the item analyses based on the item response theorytype/x-r-syntax