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(2008) Vancouver, SCO  =&+Multidimensional Item Response Theory Models Integrating Additional Inattention, Pseudo-guessing, and Discrimination Person Parameters    Gilles Rache, UQAM David Magis, Katholieke Universiteit Leuven Jean-Guy Blais, Universit de Montral International Meeting of the Psychometric Society Durham, 2008$Ph?  ? SUMMARY$Introduction Unidimensional Item Response Models Person Fit Indices Limit of these Indices Person response Curve Multidimensional Item Response Models Estimation Examples To Do References and contacts Z(       INTRODUCTION  $Presentation Gilles Rache, UQAM David Magis, Katholieke Universiteit Leuven Jean-Guy Blais, Universit de Montral IRT Models of Interest Unidimensional latent proficiency Dichotomous response Monotonic Logistic Probability Distributionx ZgZZZcZ gc   -     UNIDIMENSIONAL IRT MODELS$V1 Parameter Logistic (1PL) 2 Parameter Logistic (2PL) 3 Parameter Logistic (3PL) t    PERSON FIT INDICES$sSemi and non-parametric Personnal correlation (rpx) Caution index Parametric (IRT-based) Lz Lz* Infit et Outfit+    LIMITS OF PERSON FIT INDICES$Based on a biased estimate of proficiency, not the true one Not integrated in an IRT model Not useful to simulate response patterns Not considered as a person parameter Probability distribution dependant of the item parameters Not useful for simulation settings Z         ( PERSON RESPONSE CURVE - PCC$ %MULTIDIMENSIONAL ITEM RESPONSE MODELS&&$T Personal Variance (A) Personal Pseudo-Guessing (C) Personal Inattention (D)U ZUP * %MULTIDIMENSIONAL ITEM RESPONSE MODELS&&$ Higher Order Models B Z!Z Z,   ESTIMATION OF SUBJECT PARAMETERS!! MAP Estimators A Priori Probability Distribution Theta: Normal(0,1) A: Log Normal(0.62, 0.5) C: Beta dbeta([0,1], 2, 5) D: Beta dbeta([0,1], 5, 2) 1 Zc Z1$!        *& EXAMPLES - DATA$ 2 EXAMPLES - MODELS$ MAP(x,b,model="Thta Only") MAP(x,b,model="A") MAP(x,b,model="C") MAP(x,b,model="D") MAP(x,b,model="AC") MAP(x,b,model="AD") MAP(x,b,model="CD") MAP(x,b,model="ACD")R P PY+  3EXAMPLES - SECOND ORDER MODELS 6EXAMPLES - HIGHER ORDER MODELS 8TO DO$ REFERENCES  $x Ferrando, P. J. (2004). Person reliability in personality measurement: an item response theory analysis. Applied Psychological Measurement, 28(2), 126-140. Hulin, C. L., Drasgow, F., and Parsons, C. K. (1983). Item response theory. Homewood, IL: Irwin. Levine, M. V., and Drasgow, F. (1983). Appropriateness measurement: validating studies and variable ability models. In D. J. Weiss (Ed.): New horizons in testing. New York, NJ: Academic Press. Magis, D. (2007). Enhanced estimation methods in IRT. In D. Magis (Ed.): Influence, information and item response theory in discrete data analysis. Doctoral dissertation, Lige, Belgium: University de Lige. Rache, G., and Blais, J.-G. (2003). Efficacit du dpistage des tudiants et des tudiants qui cherchent obtenir un rsultat faible au test de classement en anglais, langue seconde, au collgial. In J.-G. Blais, and G. Rache (Ed.): Regards sur la modlisation de la mesure en en ducation et en sciences sociales. Ste-Foy, QC: Presses de l Universit Laval. Trabin, T. E., and Weiss, D. J. (1983). The person response curve: fit of individuals to item response theory models. In D. J. Weiss (Ed.): New horizons in testing. New York, NJ: Academic Press.<8Pi%DVI#+$ \                   V&   CONTACTS  $Gilles Rache http://camri.uqam.ca/camri/centre/index.htm Jean-Guy Blais http://www.griemetic.ca/Accueil.aspx David Magis David.Magis@ulg.ac.be,& ,&  ^+$   097 0Jn 0|/    ' ) + 459;t   0` 33` Sf3f` 33g` f` www3PP` ZXdbmo` \ғ3y`Ӣ` 3f3ff` 3f3FKf` hk]wwwfܹ` ff>>\`Y{ff` R>&- {p_/̴>?" dd@,|?" dd@   " @ ` n?" dd@   @@``PR    @ ` ` p>> 0(    6ْ  `}  ['Cliquez pour modifier le style du titre( (:  0ܒ  `  vCliquez pour modifier les styles du texte du masque Deuxime niveau Troisime niveau Quatrime niveau Cinquime niveau4 wn   # 2B CDEF8A3f;""yLzLLl{1=L[ +<'DLT=L7 [ * y qh q yJ LZ@           #" `   0, #" `Y- i EDurham, IMPS 2008   0x #" `Y i D*.  0l #" `Yi jRache et al. 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ZyBM;wEl;X~qφtO3W|Ӈ]ǩW|ٽ,G[xog˷G}0J/q;s:gQ@~[`24:ĭw49~ Z]ِŐ'o?[鐿v7l{1e6Oc?Ý߀?nCkCsP@c!UAȗҾI|}O"e%?]^#VA짉W rsV.O!sy|]|”:%7Jɷ*M@WlݲGzтK,Xt0hUFa݌˨`^Fc&F2=F3f#Q yfr@Vi[q_a-dugd@Bc8 D;F@n;Oh+'0 `h  $ 0 <HPLLutilisation des simulations informatises pour la recherche en ducationHP Authorized Customer Gilles Rache54Microsoft Office PowerPoint@'F@g@Ɓ@@_ `Gg  7   y--$xx--'3f--%A  !"$' ) * , . 0 269;=>?@AABCCDEFGILPRTUVWXZ\^`cdfgikkkkkj--'--$3m3tbtbm3m--'@Arial-. !2 pIDurham, IMPS 2008."System0:---$bmbttmbm--'@Arial-.  2 q1>.-@Arial-.  2 q.>.---$mt5t5mm--'@Arial-.  2 pRa.-@Arial-.  2 p >.-@Arial-. 2 p che et r.-@Arial-.  2 p)al.-@Arial-. 2 p+. (2008).--B( DD-- $                    "#%')+- / 011111!2#2&2)2,232:2B2J2Q1T0W/Y0Z0[0[0]1_2c2h3l3o3r4w4{33322100/--,++**)'&&&#  | v p j e _ Y S H C > 3 . ) $                ----%                    "#%')+- / 011111!2#2&2)2,232:2B2J2Q1T0W/Y0Z0[0[0]1_2c2h3l3o3r4w4{33322100/--,++**)'&&&#  | v p j e _ Y S H C > 3 . ) $               --'@Arial-. @2  &Multidimensional Item Response Theory .-@Arial-. H2  +Models Integrating Additional Inattention, .-@Arial-. 2 # Pseudo.-@Arial-.  2 #"->.-@Arial-. 32 #$guessing, and Discrimination .-@Arial-. !2 / Person Parameters.-@Arial-. 2 ;g Gilles Ra.-@Arial-.  2 ;x>.-@Arial-. 2 ;y che, UQAM.-@Arial-. 2 @:David .-@Arial-. 2 @FMagis .-@Arial-.  2 @R, .-@Arial-. 2 @T Katholieke.-@Arial-. 2 @j Universiteit.-@Arial-. 2 @Leuven.-@Arial-.  2 FDJean.-@Arial-.  2 FM->.-@Arial-. %2 FOGuy Blais, Universit.-@Arial-.  2 Fu>.-@Arial-. 2 Fyde Montr.-@Arial-.  2 F>.-@Arial-.  2 Fal.-@Arial-. (2 P0International Meeting .-@Arial-.  2 PZof.-@Arial-.  2 P_the.-@Arial-. 2 Pf Psychometric.-@Arial-. 2 PSocietyr.-@Arial-. 2 Vu Durham, 2008.-՜.+,D՜.+,|8     Affichage l'cran UQAM ArialTimes New RomanModle par dfautMicrosoft Equation 3.0Multidimensional Item Response Theory Models Integrating Additional Inattention, Pseudo-guessing, and Discrimination Person Parameters SUMMARY INTRODUCTIONUNIDIMENSIONAL IRT MODELSPERSON FIT INDICESLIMITS OF PERSON FIT INDICESPERSON RESPONSE CURVE - PCC&MULTIDIMENSIONAL ITEM RESPONSE MODELS&MULTIDIMENSIONAL ITEM RESPONSE MODELS!ESTIMATION OF SUBJECT PARAMETERSEXAMPLES - DATAEXAMPLES - MODELSEXAMPLES - SECOND ORDER MODELSEXAMPLES - HIGHER ORDER MODELSTO DO REFERENCES CONTACTS Polices utilisesModle de conceptionServeurs OLE incorporsTitres des diapositives 8@ _PID_HLINKSA,http://camri.uqam.ca/camri/centre/index.htmmailto:David.Magis@ulg.ac.be%http://www.griemetic.ca/Accueil.aspx&_ o0 Gilles Rache Gilles Rache  !"#$&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~Root EntrydO)Pictures^ICurrent UserSummaryInformation( PowerPoint Document(%DoDocumentSummaryInformation8