LEADER 02390nam0 2200577 i 450 001 VAN00123552 005 20240806100813.841 017 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$1001VAN00102894$12001 $aStatistics for social and behavioral sciences$1210 $aBerlin [etc.]$cSpringer 500 1$3VAN00236035$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$c20240906$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 $aVAN00123552 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