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001			978-1-4614-3417-7
003			DE-He213
005			20140220083247.0
007			cr nn 008mamaa
008			120611s2012 xxu| s |||| 0|eng d
020			_a9781461434177 _9978-1-4614-3417-7
024	7		_a10.1007/978-1-4614-3417-7 _2doi
050		4	_aQP351-495
050		4	_aQP360-360.7
072		7	_aJMM _2bicssc
072		7	_aPSY020000 _2bisacsh
082	0	4	_a612.8 _223
100	1		_aMaroof, David Aaron. _eauthor.
245	1	0	_aStatistical Methods in Neuropsychology _h[electronic resource] : _bCommon Procedures Made Comprehensible / _cby David Aaron Maroof.
264		1	_aBoston, MA : _bSpringer US : _bImprint: Springer, _c2012.
300			_aIX, 110 p. 8 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
520			_aStatistical Methods in Neuropsychology Common Procedures Made Comprehensible   David Aaron Maroof  Statistics: not only the bane of many a student’s existence, but also puzzling to any number of mental health professionals. At the same time, they are necessary in making sound clinical judgments as to clients’ cognitive functioning or decline. Without them, a practitioner may be at a loss to explain findings or recommendations, or understand data in context.   The first publication of its kind, Statistical Methods in Neuropsychology brings the broad field of applied statistics and the specialized field of neuropsychology together to simplify and demystify test results. In readable, at times downright funny prose employing the minimum of hard math (and even less hard jargon), this concise volume shows readers how to effectively translate psychometric test data into real-world clinical practice, and offers a fuller understanding of the research literature. The author critiques commonly used statistical methods on the basis of their strengths and weaknesses, and reviews the issues in these key areas:   • Assessing validity. • Statistical assumptions. • Exploratory factor analysis. • Normative data. • Covariates and covariance analysis. • Regression and logistic regression analysis. • Multivariate analysis of variance.   Statistical Methods in Neuropsychology will appeal to a wide variety of neuropsychologists, cognitive neuroscientists, psychiatrists, and experimental psychologists: those who understand statistics but want to know the why behind them, those new to the field and still getting familiar with the formulas, and those wishing to retake the course with a witty, world-class professor.
650		0	_aPhilosophy (General).
650		0	_aMedical records _xData processing.
650		0	_aPsychology, clinical.
650		0	_aPsychic research.
650	1	4	_aPsychology.
650	2	4	_aNeuropsychology.
650	2	4	_aHealth Informatics.
650	2	4	_aPsychology Research.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781461434160
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4614-3417-7
912			_aZDB-2-BHS
999			_c101365 _d101365