Results 201 to 210 of about 4,160 (221)

Determination of Diagnostic Cut-Points Using Stochastically Ordered Mixed Rasch Models

2007
Diagnostic tests aim to discriminate between clinically normal and clinically abnormal cases. When raw scores summarizing responses to items in psychiatric or health related scales are used for diagnostic purposes, it is required that measurements are both valid and reliable.
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Using the Mixed Rasch Model to analyze data from the beliefs and attitudes about memory survey.

Journal of applied measurement, 2012
In this study, we used the Mixed Rasch Model (MRM) to analyze data from the Beliefs and Attitudes About Memory Survey (BAMS; Brown, Garry, Silver, and Loftus, 1997). We used the original 5-point BAMS data to investigate the functioning of the "Neutral" category via threshold analysis under a 2-class MRM solution.
Everett V, Smith, Yuping, Ying, Scott W, Brown   +2 more
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Übungseffekte von Arbeitsgedächtnistests: Analysen mit Hilfe des Rasch- bzw. Mixed-Rasch-Modells

2011
Graz, Univ., Dipl.-Arb ...
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The Mixed-Rasch Model: an example for analyzing the meaning of response latencies in a personality questionnaire.

Journal of applied measurement, 2006
The present study uses the Mixed-Rasch Model to analyze questionnaire data. It is hypothesized that more than one latent sub-population (classes) can be identified. It is also hypothesized that response latencies and social desirability can be used to describe and discriminate the latent classes.
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Evaluation of psychopathological characteristics in drug addicts through mixed effect Rasch Model

2010
This paper proposes the principal features of a research aiming to investigate gender stereotypes from a perspective that involves the past, the present and the future of the relations between the sexes. In particular we focus on the construction of an instrument for the measurement of attitude towards female stereotypes. 5-point Likert scales was used
FONTANELLA, Lara, SARRA A., D'EGIDIO F., FRATTONE P.   +3 more
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An Application of the Polytomous Rasch Model to Mixed Strategies

2015
Huang, Chun-Wei, Mislevy, Robert J.
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Spurious Latent Class Problem in the Mixed Rasch Model: A Comparison of Three Maximum Likelihood Estimation Methods under Different Ability Distributions

International Journal of Testing, 2018
Sedat Sen
exaly  

Pairwise- and marginal-likelihood estimation for the mixed Rasch model with binary data

Journal of Statistical Computation and Simulation, 2012
Jean-Benoit Hardouin, V Sebille
exaly  

The Rasch Model as a Generalized Linear Mixed Model

2019
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Introducing Emotioncy as a Potential Source of Test Bias: A Mixed Rasch Modeling Study

International Journal of Testing, 2017
Reza Pishghadam, Purya Baghaei
exaly