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Latent variable model
Known as:
Latent trait
, Latent-variable model
A latent variable model is a statistical model that relates a set of variables (so-called manifest variables) to a set of latent variables. It is…
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Related topics
Related topics
23 relations
Conditional random field
Confirmatory factor analysis
Doubly stochastic model
Errors-in-variables models
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2012
2012
Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning
Matthew F. Der
,
L. Saul
Neural Information Processing Systems
2012
Corpus ID: 7589664
We describe a latent variable model for supervised dimensionality reduction and distance metric learning. The model discovers…
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2011
2011
Comparing the construct validity of scales derived from the Narcissistic Personality Inventory: A reply to
Joshua D. Miller
,
Jessica L Maples
,
W. K. Campbell
2011
Corpus ID: 41487963
Review
2011
Review
2011
Exploring levels of performance using the mixture Rasch model for standard setting 1
Hong Jiao
,
R. Lissitz
,
George B. Macready
,
Shudong Wang
,
Senfeng Liang
2011
Corpus ID: 34597949
This study proposes a method using the mixture Rasch model to set performance standards. The mixture Rasch model classifies…
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2008
2008
Measurement System Analysis for Binary Data
W. N. Wieringen
,
J. D. Mast
Technometrics
2008
Corpus ID: 9034648
We describe a methodology for the assessment of the repeatability and reproducibility (R&R) of measurement systems that measure…
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Review
2007
Review
2007
Job Satisfaction among Practicing Pharmacists: A Rasch Analysis
P. Hardigan
,
M. J. Carvajal
2007
Corpus ID: 55408620
Purpose: through the application of a Rasch rating scale model, the researchers investigated the effect of gender, ethnicity…
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Review
2007
Review
2007
HIERARCHICAL GENERAL DIAGNOSTIC MODELS
M. Davier
2007
Corpus ID: 123412862
This paper introduces multilevel extensions for the general diagnostic model (GDM) following recent developments on extensions of…
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Highly Cited
2007
Highly Cited
2007
Real-time Body Tracking Using a Gaussian Process Latent Variable Model
Shaobo Hou
,
Aphrodite Galata
,
Fabrice Caillette
,
N. Thacker
,
P. Bromiley
IEEE International Conference on Computer Vision
2007
Corpus ID: 14859136
In this paper, we present a tracking framework for capturing articulated human motions in real-time, without the need for…
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1998
1998
Assessing the Dimensionality of Item Response Matrices with Small Sample Sizes and Short Test Lengths
A. Champlain
,
M. Gessaroli
1998
Corpus ID: 67815189
The assumption of unidimensionality must be met to legitimately use common item response theory models. The validity of score…
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Highly Cited
1985
Highly Cited
1985
A Latent Variable Model of Quality Determination
P. Gertler
1985
Corpus ID: 153650504
Despite substantial interest in the determination of quality, there has been little empirical work in the area. The problem, of…
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Highly Cited
1983
Highly Cited
1983
Likert Scaling Using the Graded Response Latent Trait Model
W.R. Koch
1983
Corpus ID: 53767299
The two-parameter graded response latent trait model was applied to data collected from a conven tionally constructed Likert-type…
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