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Activity Number:
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558
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Type:
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Contributed
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Date/Time:
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Thursday, August 6, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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IMS
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| Abstract - #303271 |
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Title:
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Misspecification in the Latent Class and Latent Markov Model
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Author(s):
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David Kaplan*+
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Companies:
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University of Wisconsin-Madison
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Address:
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Department of Educational Psychology, Madison , WI, 53706,
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Keywords:
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Latent variables ; latent class analysis ; Markov models
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Abstract:
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Specification error in the latent class and latent Markov model are examined. The first form of specification error concerns the impact of incorrectly specifying the number of latent classes of the categorical latent variable. The results show that the clarity of remaining latent classes, as measured by the entropy statistic, depends on the number of observations in the omitted latent class---but this statistic is not reliable. The second form of specification error concerns the impact on transition probabilities in a latent Markov model when a longitudinal Guttman process is incorrectly specified. The findings show that specifying a longitudinal Guttman process that is not true in the population impacts other transition probabilities through the covariance matrix of the logit parameters used to calculate those probabilities.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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