Results 191 to 200 of about 4,160 (221)
Some of the next articles are maybe not open access.

Applying the Mixed Rasch Model to the Runco Ideational Behavior Scale

Creativity Research Journal, 2016
Previous research using creativity assessments has used latent class models and identified multiple classes (a 3-class solution) associated with various domains. This study explored the latent class structure of the Runco Ideational Behavior Scale, which was designed to quantify ideational capacity.
openaire   +1 more source

Mixing Interviews and Rasch Modeling: Demonstrating a Procedure Used to Develop an Instrument That Measures Trust

Journal of Mixed Methods Research, 2016
Developing psychometrically sound instruments can be difficult, especially if little is known about the constructs of interest. When constructs of interest are unclear, a mixed methods approach can be useful. Qualitative inquiry can be used to explore a construct’s meaning in a way that informs item writing and allows the strengths of one analysis ...
Shannon L. David   +4 more
openaire   +1 more source

Fitting the mixed Rasch model to the listening comprehension section of the IELTS: Identifying latent class differential item functioning

open access: yesInternational Journal of Testing
This study applied the Mixed Rasch Model (MRM) to the listening comprehension section of the International English Language Testing System (IELTS) to detect latent class differential item functioning (DIF) by exploring multiple profiles of second/foreign
Farshad Effatpanah   +2 more
exaly   +1 more source

Mixed Rasch modeling in assessing reading comprehension

2019
peer ...
Baghaei, Purya   +3 more
openaire   +1 more source

Misurare l'autostima : applicazione del Mixed Rasch Model alla Self-Esteem Scale (SES)

Risorsa uomo, 2007
This study aims to examine the psychometric properties of the Self-Esteem Scale (SES; Rosenberg, 1965) through the Classical Test Theory (AFE) and the Item Response Theory (Mixed Rasch Model). The SES has been administered to 2000 subjects (1012 male, 988 female) with a mean age of 39.18 years (SD = 15.87). Exploratory Factor Analysis pointed out a two-
GIANNINI, MARCO   +2 more
openaire   +2 more sources

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

International Journal of Testing, 2016
This 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
openaire   +1 more source

Sequential Analysis of Quality-of-Life Measurements Using Mixed Rasch Models

2008
Early stopping of clinical trials in the case of either beneficial or deleterious effect of a treatment on quality of life (QoL) is an important issue. QoL is usually evaluated using self-assessment questionnaires and responses to the items are usually combined into QoL scores assumed to be normally distributed.
Véronique Sébille   +2 more
openaire   +1 more source

Bridging Psychometrics and Survey Methodology: Can Mixed Rasch Models Identify Socially Desirable Reporting Behavior?

Journal of Survey Statistics and Methodology, 2014
ZEINA N. MNEIMNEH is with the Survey Research Operations, Institute for Social Research, University of Michigan. STEVEN G. HEERINGA is with the Survey Methodology Program, Institute for Social Research, University of Michigan. ROGER TOURANGEAU is with Westat. MICHAEL R.
Z. N. Mneimneh   +3 more
openaire   +1 more source

Detecting Response Styles and Faking in Personality and Organizational Assessments by Mixed Rasch Models

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
openaire   +1 more source

Mixed Rasch modeling in assessing reading comprehension (Chapter 1)

2019
peer ...
Baghaei, P   +3 more
openaire   +1 more source

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