Results 191 to 200 of about 15,333,433 (220)
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2007
Mixture IRT models such as the mixed Rasch model (RM) have the potential to illuminate conflicting findings in the analysis of responses to organizational assessments of noncognitive abilities such as personality inventories and attitude assessments. The preponderance of psychometric work (especially in the early history of test analysis) has been done
Michael Eid, Michael J. Zickar
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Mixture IRT models such as the mixed Rasch model (RM) have the potential to illuminate conflicting findings in the analysis of responses to organizational assessments of noncognitive abilities such as personality inventories and attitude assessments. The preponderance of psychometric work (especially in the early history of test analysis) has been done
Michael Eid, Michael J. Zickar
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Introducing Emotioncy as a Potential Source of Test Bias: A Mixed Rasch Modeling Study
International Journal of Testing, 2016This article attempts to present emotioncy as a potential source of test bias to inform the analysis of test item performance. Emotioncy is defined as a hierarchy, ranging from exvolvement (auditory, visual, and kinesthetic) to involvement (inner and arch), to emphasize the emotions evoked by the senses.
Reza Pishghadam +2 more
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Mixed Rasch modeling in assessing reading comprehension (Chapter 1)
2019peer ...
Baghaei, P +3 more
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European Journal of Psychological Assessment, 2001
The present paper explores whether differential endorsement probabilities are related to the behavioral consequences of certain environments, rather than being solely indicative of method bias. One's living environment is among the more salient contextual factors affecting ecological performance.
Kaiser, F.G., Keller, C.
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The present paper explores whether differential endorsement probabilities are related to the behavioral consequences of certain environments, rather than being solely indicative of method bias. One's living environment is among the more salient contextual factors affecting ecological performance.
Kaiser, F.G., Keller, C.
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Determination of Diagnostic Cut-Points Using Stochastically Ordered Mixed Rasch Models
2007Diagnostic 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, 2012In 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 +2 more
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Evaluation of psychopathological characteristics in drug addicts through mixed effect Rasch Model
2010This 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 +3 more
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An Application of the Polytomous Rasch Model to Mixed Strategies
2015Huang, Chun-Wei, Mislevy, Robert J.
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Übungseffekte von Arbeitsgedächtnistests: Analysen mit Hilfe des Rasch- bzw. Mixed-Rasch-Modells
2011Graz, Univ., Dipl.-Arb ...
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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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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.
openaire +1 more source

