000			03225nam a22004695i 4500
001			u372334
003			SIRSI
005			20160812084053.0
007			cr nn 008mamaa
008			110511s2011 xxu| s |||| 0|eng d
020			_a9781441999375 _9978-1-4419-9937-5
040			_cMX-MeUAM
050		4	_aQA276-280
082	0	4	_a519.5 _223
100	1		_aAitkin, Irit. _eauthor.
245	1	0	_aStatistical Modeling of the National Assessment of Educational Progress _h[recurso electrónico] / _cby Irit Aitkin, Murray Aitkin.
264		1	_aNew York, NY : _bSpringer New York, _c2011.
300			_aXII, 164 p. _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		_aTheories of Data Analysis and Statistical Inference -- The Current Design and Analysis -- Psychometric and Survey Models -- Technical Reports – Data Analyses and Simulation Studies -- 1986 NAEP Math Survey -- Analysis of All 1986Math Iems -- 2005 NAEP Math Survey – Texas -- 2005 NAEP Math Survey – California -- Conclusions -- 1986 Survey Results, 30 Item Subscale -- 1986 Survey Results, Full 79 Items -- Model Parameter Estimates and SEs, 2005 Texas Survey -- Model Parameter Estimates and SEs, 2005 California survey.
520			_aThe purpose of this book is to evaluate a new approach to the analysis and reporting of the large-scale surveys for the National Assessment of Educational Progress carried out for the National Center for Education Statistics. The need for a new approach was driven by the demands for secondary analysis of the survey data by researchers who needed analyses more detailed than those published by NCES, and the need to  accelerate the processing and publication of results from the surveys. This new approach is based on a full multilevel statistical and psychometric model for students’ responses to the test items, taking into account the design of the survey, the backgrounds of the students, and the classes, schools and communities in which the students were located. The authors detail a fully integrated single model that incorporates both the survey design and the psychometric model by extending the traditional form of the psychometric model to accommodate the design structure while allowing for student, teacher, and school covariates.
650		0	_aStatistics.
650		0	_aEducational tests and measurements.
650		0	_aPsychometrics.
650	1	4	_aStatistics.
650	2	4	_aStatistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
650	2	4	_aAssessment, Testing and Evaluation.
650	2	4	_aPsychometrics.
700	1		_aAitkin, Murray. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781441999368
830		0	_aStatistics for Social and Behavioral Sciences
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-4419-9937-5
596			_a19
942			_cLIBRO_ELEC
999			_c200214 _d200214