000			03603nam a22005055i 4500
001			978-0-387-89976-3
003			DE-He213
005			20251006084431.0
007			cr nn 008mamaa
008			110414s2009 xxu| s |||| 0|eng d
020			_a9780387899763
020			_a99780387899763
024	7		_a10.1007/978-0-387-89976-3 _2doi
082	0	4	_a519.5 _223
100	1		_aReckase, M.D. _eauthor.
245	1	0	_aMultidimensional Item Response Theory _h[electronic resource] / _cby M.D. Reckase.
264		1	_aNew York, NY : _bSpringer New York, _c2009.
300			_bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aStatistics for Social and Behavioral Sciences
505	0		_aUnidimensional Item Response Theory Models -- Historical Background for Multidimensional Item Response Theory (MIRT) -- Multidimensional Item Response Theory Models -- Statistical Descriptions of Item and Test Functioning -- Estimation of Item and Person Parameters -- Analyzing the Structure of Test Data -- Transforming Parameter Estimates to a Specified Coordinate System -- Linking and Scaling -- Computerized Adaptive Testing Using MIRT.
520			_aMultidimensional Item Response Theory is the first book to give thorough coverage to this emerging area of psychometrics. The book describes the commonly used multidimensional item response theory (MIRT) models and the important methods needed for their practical application. These methods include ways to determine the number of dimensions required to adequately model data, procedures for estimating model parameters, ways to define the space for a MIRT model, and procedures for transforming calibrations from different samples to put them in the same space. A full chapter is devoted to methods for multidimensional computerized adaptive testing. The text is appropriate for an advanced course in psychometric theory or as a reference work for those interested in applying MIRT methodology. A working knowledge of unidimensional item response theory and matrix algebra is assumed. Knowledge of factor analysis is also helpful. Mark D. Reckase is a professor of Measurement and Quantitative Methods in the College of Education at Michigan State University. He has been president of the National Council of Measurement in Education, Vice President of Division D of the American Educational Research Association, on the Board of Trustees of the Psychometric Society, and the editor of Applied Psychological Measurement and the Journal of Educational Measurement. He has been doing research in the area of MIRT since 1972.
650		0	_aSTATISTICS.
650		0	_aCOMPUTER SIMULATION.
650		0	_aSOCIAL SCIENCES _xMETHODOLOGY.
650		0	_aPSYCHOLOGICAL TESTS AND TESTING.
650		0	_aPSYCHOMETRICS.
650	1	4	_aSTATISTICS.
650	2	4	_aSTATISTICS FOR SOCIAL SCIENCE, BEHAVORIAL SCIENCE, EDUCATION, PUBLIC POLICY, AND LAW.
650	2	4	_aPSYCHOMETRICS.
650	2	4	_aSIMULATION AND MODELING.
650	2	4	_aPSYCHOLOGICAL METHODS/EVALUATION.
650	2	4	_aMETHODOLOGY OF THE SOCIAL SCIENCES.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387899756
830		0	_aStatistics for Social and Behavioral Sciences
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-89976-3 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SMA
942			_2ddc _cER
999			_c59489 _d59489