000			03030nam a22004335i 4500
001			978-3-642-11760-2
003			DE-He213
005			20140220084532.0
007			cr nn 008mamaa
008			100528s2010 gw | s |||| 0|eng d
020			_a9783642117602 _9978-3-642-11760-2
024	7		_a10.1007/978-3-642-11760-2 _2doi
050		4	_aQA276-280
072		7	_aPBT _2bicssc
072		7	_aMAT029000 _2bisacsh
082	0	4	_a519.5 _223
100	1		_avan Montfort, Kees. _eeditor.
245	1	0	_aLongitudinal Research with Latent Variables _h[electronic resource] / _cedited by Kees van Montfort, Johan H.L. Oud, Albert Satorra.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010.
300			_aXI, 301p. 42 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aLoglinear Latent Variable Models for Longitudinal Categorical Data -- Random Effects Models for Longitudinal Data -- Multivariate and Multilevel Longitudinal Analysis -- Longitudinal Research Using Mixture Models -- An Overview of the Autoregressive Latent Trajectory (ALT) Model -- State Space Methods for Latent Trajectory and Parameter Estimation by Maximum Likelihood -- Continuous Time Modeling of Panel Data by means of SEM -- Five Steps in Latent Curve and Latent Change Score Modeling with Longitudinal Data -- Structural Interdependence and Unobserved Heterogeneity in Event History Analysis.
520			_aThis book combines longitudinal research and latent variable research, i.e. it explains how longitudinal studies with objectives formulated in terms of latent variables should be carried out, with an emphasis on detailing how the methods are applied. Because longitudinal research with latent variables currently utilizes different approaches with different histories, different types of research questions, and different computer programs to perform the analysis, the book is divided into nine chapters. Starting from (a) some background information about the specific approach (a short history and the main publications), each chapter then (b) describes the type of research questions the approach is able to answer, (c) provides statistical and mathematical explanations of the models used in the data analysis, (d) discusses the input and output of the programs used, and (e) provides one or more examples with typical data sets, allowing the readers to apply the programs themselves.
650		0	_aStatistics.
650		0	_aMathematical statistics.
650	1	4	_aStatistics.
650	2	4	_aStatistical Theory and Methods.
700	1		_aOud, Johan H.L. _eeditor.
700	1		_aSatorra, Albert. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642117596
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-11760-2
912			_aZDB-2-SMA
999			_c111931 _d111931