000			04002cam a22006018i 4500
001			9780429030499
003			FlBoTFG
005			20220509193019.0
006			m o d
007			cr |||||||||||
008			200219s2020 nyu ob 001 0 eng
040			_aOCoLC-P _beng _erda _cOCoLC-P
020			_a9780429030499 _q(ebook)
020			_a0429030495 _q(ebook)
020			_a9780429641510 _q(electronic bk. : PDF)
020			_a0429641516 _q(electronic bk. : PDF)
020			_a9780429635175 _q(electronic bk. : Mobipocket)
020			_a0429635176 _q(electronic bk. : Mobipocket)
020			_a9781315814698 _q(electronic bk.)
020			_a1315814692 _q(electronic bk.)
020			_a9780429638343 _q(electronic bk. : EPUB)
020			_a0429638345 _q(electronic bk. : EPUB)
020			_z9780367141417 _q(hbk)
020			_z9780367141424 _q(pbk)
035			_a(OCoLC)1142040799
035			_a(OCoLC-P)1142040799
050	0	0	_aBF39
072		7	_aPSY _x030000 _2bisacsh
072		7	_aEDU _x030000 _2bisacsh
072		7	_aPSY _x042000 _2bisacsh
072		7	_aJMBT _2bicssc
082	0	0	_a150.72/7 _223
100	1		_aBond, Trevor G., _eauthor.
245	1	0	_aApplying the Rasch model : _bfundamental measurement in the human sciences / _cTrevor G. Bond, Zi Yan, Moritz Heene.
250			_aFourth edition.
264		1	_aNew York, NY : _bRoutledge, _c2020.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bn _2rdamedia
338			_aonline resource _bnc _2rdacarrier
520			_a"Recognised as the most influential publication in the field, ARM facilitates deep understanding of the Rasch model and its practical applications. The authors review the crucial properties of the model and demonstrate its use with examples across the human sciences. Readers will be able to understand and critically evaluate Rasch measurement research, perform their own Rasch analyses and interpret their results. The glossary and illustrations support that understanding, and the accessible approach means that it is ideal for readers without a mathematical background. Highlights of the new edition include: -More learning tools to strengthen readers' understanding including chapter introductions, boldfaced key terms, chapter summaries, activities, and suggested readings. -Greater emphasis on the use of R packages; readers can download the R code from the Routledge website. -Explores the distinction between numerical values, quantity, and units, to understand the measurement and the role of the Rasch logit scale (chpt 4). -A new four-option data set from the IASQ (Instrumental Attitude towards Self-assessment Questionnaire) for the Rating Scale Model (RSM) analysis exemplar (chpt 6). -Clarifies the relationship between Rasch measurement, path analysis and SEM, with a host of new examples of Rasch measurement applied across health sciences, education and psychology (chpt 10). Intended as a text for graduate courses in measurement, item response theory, (advanced) research methods or quantitative analysis taught in psychology, education, human development, business, and other social and health sciences. Professionals in these areas will also appreciate the book's accessible introduction"-- _cProvided by publisher.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aPsychology _xStatistical methods.
650		0	_aSocial sciences _xStatistical methods.
650		0	_aPsychology _xResearch _xMethodology.
650		0	_aSocial sciences _xResearch _xMethodology.
650		7	_aPSYCHOLOGY / Research & Methodology _2bisacsh
650		7	_aEDUCATION / Testing & Measurement _2bisacsh
650		7	_aPSYCHOLOGY / Assessment, Testing & Measurement _2bisacsh
700	1		_aYan, Zi, _d1979- _eauthor.
700	1		_aHeene, Moritz, _d1975- _eauthor.
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9780429030499
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c128239 _d128239