Trends in categorical data analysis : new, semi-new, and recycled ideas

Trends in categorical data analysis new, semi-new, and recycled ideas

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Bibliographische Detailangaben
Veröffentlicht in:The Sage handbook of quantitative methodology for the social sciences
1. Verfasser: Rindskopf, David (VerfasserIn)
Format: UnknownFormat
Veröffentlicht: 2004
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Titel Jahr Verfasser
Multidimensional scaling and unfolding of symmetric and asymmetric proximity relations 2004 Heiser, Willem J.
Differential item functioning analysis : detecting DIF items and testing DIF hypotheses 2004 Roussos, Louis A.
Understanding computerized adaptive testing : from Robbins-Monro to Lord and beyond 2004 Chang, Hua-Hua
Discrete-time survival analysis 2004 Willett, John B.
Meta-analysis 2004 Konstantopoulos, Spyros
Applying dynamic factor analysis in behavioral and social science research 2004 Nesselroade, John R.
On exogeneity 2004 Kaplan, David
Principal components analysis with nonlinear optimal scaling transformations for ordinal and nominal data 2004 Meulman, Jacqueline J.
Latent class models 2004 Magidson, Jay
Determining the number of factors in exploratory and confirmatory factor analysis 2004 Hoyle, Rick H.
Experimental, quasi-experimental, and nonexperimental design and analysis with latent variables 2004 Hancock, Gregory R.
Latent variable analysis : growth mixture modeling and related techniques for longitudinal data 2004 Muthén, Bengt
Casual inference 2004 Spirtes, Peter
Dual scaling 2004 Nishisato, Shizuhiko
Responsible modeling of measurement data for appropriate inferences : important advances in reliability and validity theory 2004 Zumbo, Bruno D.
Trends in categorical data analysis : new, semi-new, and recycled ideas 2004 Rindskopf, David
Ordinal regression models 2004 Johnson, Valen E.
The use of hierarchical models in analyzing data from experiments and quasi-experiments conducted in field settings 2004 Seltzer, Michael
Objectivity in science and structural equation modeling 2004 Mulaik, Stanley A.
Test modeling 2004 Nandakumar, Ratna
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