LEADER 01348nam2-2200421---450 001 990002143700203316 005 20240315181716.0 010 $a978-88-372-2310-6 035 $a000214370 035 $aUSA01000214370 035 $a(ALEPH)000214370USA01 035 $a000214370 100 $a20041105d2009----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $aaf||||||001yy 200 1 $a<<5.1:>> Miti senza frontiere$fa cura di Raffaella Bertazzoli 210 $aBrescia$cMorcelliana$d2009 215 $a651 p., [8] carte di tav.$cill.$d22 cm 225 2 $aBiblioteca Morcelliana$v5 410 0$12001$aBiblioteca Morcelliana 461 1$1001000294875$12001$a<> mito nella letteratura italiana 462 1$1001000214351$12001$a<<5:>> Percorsi 606 0 $aLetteratura italiana$xTemi [:] Miti$2BNCF 676 $a850.937 702 1$aBERTAZZOLI,$bRaffaella 801 0$aIT$bsalbc$gISBD 912 $a990002143700203316 951 $aVI.3.C. 56/5.1$b222059 L.M.$cVI.3.C.$d00256187 951 $aVI.3.C. 56/5.1a$b222060 L.M.$cVI.3.C.$d00256188 951 $aXV 21 1116/5$bDispac$cXV 21 1116/ 959 $aBK 969 $aUMA 969 $aFPAV 979 $aMARIA$b10$c20041105$lUSA01$h0942 979 $aANNAMARIA$b90$c20100219$lUSA01$h1358 996 $aMiti senza frontiere$91039746 997 $aUNISA LEADER 02386nam0 2200577 i 450 001 VAN0123552 005 20230704115023.182 017 70$2N$a9783319542058 100 $a20190924d2017 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aˆThe ‰Basics of Item Response Theory Using R$fFrank B. Baker, Seock-Ho Kim 210 $aCham$cSpringer$d2017 215 $axiv, 174 p.$cill.$d24 cm 410 1$1001VAN0102894$12001 $aStatistics for social and behavioral sciences$1210 $aBerlin [etc.]$cSpringer 500 1$3VAN0236035$aˆThe ‰Basics of Item Response Theory Using R$91561731 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62P15$xApplications of statistics to psychology [MSC 2020]$3VANC031075$2MF 610 $aAbility parameter$9KW:K 610 $aBinary items$9KW:K 610 $aClassical test theory$9KW:K 610 $aDichotomously scored$9KW:K 610 $aDifficulty parameter$9KW:K 610 $aDiscrimination parameter$9KW:K 610 $aGuessing parameter$9KW:K 610 $aInformation function$9KW:K 610 $aInvariance principle$9KW:K 610 $aItem characteristic curve$9KW:K 610 $aItem response theory$9KW:K 610 $aLogistic model$9KW:K 610 $aMaximum likelihood estimation$9KW:K 610 $aOne-parameter model$9KW:K 610 $aProbability of correct response$9KW:K 610 $aRasch model$9KW:K 610 $aTest calibration$9KW:K 610 $aTest characteristic curve$9KW:K 610 $aThree-parameter model$9KW:K 610 $aTwo-parameter model$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aBaker$bFrank B.$3VANV095007$0287125 701 1$aKim$bSeock-Ho$3VANV095008$0287126 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-319-54205-8$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN0123552 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 0934 $e08eMF934 20190924 996 $aBasics of Item Response Theory Using R$91561731 997 $aUNICAMPANIA