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008 080220s1982 xxu ||| bt ||| | eng d
037 _aED264268
_bERIC
040 _aericd
_beng
_cericd
_dMvI
_dBD-DhUL
091 _amfm
100 1 _aDrasgow, Fritz.
245 1 0 _aApplication of Unidimensional Item Response Theory Models to Multidimensional Data
_h[microform] /
_cFritz Drasgow and Charles K. Parsons.
260 _a[Washington, D.C.] :
_bDistributed by ERIC Clearinghouse,
_c1982.
300 _a16 p.
500 _aERIC Note: In: Item Response Theory and Computerized Adaptive Testing Conference Proceedings (Wayzata, MN, July 27-30, 1982) (TM 850 744).
_5ericd
520 _aThe effects of a multidimensional latent trait space on estimation of item and person parameters by the computer program LOGIST are examined. Several item pools were simulated that ranged from truly unidimensional to an inconsequential general latent trait. Item pools with intermediate levels of prepotency of the general latent trait were also constructed. These item pools were used to determine the degree of prepotency that is required by LOGIST in order to recover the general latent trait and not be drawn to a latent trait underlying a cluster of items. The types of multidimensionality studied have several effects on the estimation techniques programmed in LOGIST. Perhaps most important is that as the prepotency of the general factor decreases, LOGIST is gradually drawn to the strongest group factor. Estimates of item difficulty occasionally become excessively large in magnitude when actual data sets are analyzed by LOGIST, although the most recent version has options that may reduce this problem. The results obtained here indicate that this phenomenon may partially be due to multidimensional item pools. However, unidimensional models do provide a good description of multidimensional data sets when the dominant latent trait is sufficiently prepotent. (PN)
521 8 _aResearchers.
_bericd
533 _aMicrofiche.
_b[Washington D.C.]:
_cERIC Clearinghouse
_emicrofiches : positive.
650 1 7 _aComputer Simulation.
_2ericd
650 0 7 _aComputer Software.
_2ericd
650 0 7 _aDifficulty Level.
_2ericd
650 1 7 _aItem Analysis.
_2ericd
650 0 7 _aItem Banks.
_2ericd
650 1 7 _aLatent Trait Theory.
_2ericd
650 1 7 _aMathematical Models.
_2ericd
650 0 7 _aMaximum Likelihood Statistics.
_2ericd
650 0 7 _aPsychometrics.
_2ericd
650 0 7 _aTest Items.
_2ericd
650 0 7 _aTesting Problems.
_2ericd
653 1 _aParametric Analysis
_aUnidimensional Scaling
653 0 _aLOGIST Computer Program
655 7 _aReports, Research.
_2ericd
655 7 _aSpeeches/Meeting Papers.
_2ericd
700 1 _aParsons, Charles K.,
_eauthor.
942 _2ddc
_cBK
984 _aANL
_cmc 2253 ED264268
_d77000000269801
999 _c124624
_d124624