Improving generalizability coefficient estimate accuracy: A way to incorporate auxiliary information
Methodological Innovations, 2018 Initially proposed by Marcoulides and further expanded by Raykov and Marcoulides, a structural equation modeling approach can be used in generalizability theory estimation.
Zhehan Jiang +3 more
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Thematic Content Analysis of Studies Using Generalizability Theory [PDF]
International Journal of Assessment Tools in Education, 2019 Oneof the important theories in education and psychology is Generalizability (G)Theory and various properties distinguish it from the other measurementtheories.
Gülşen Taşdelen Teker, Neşe Güler
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Estimating Reliability of Tests with Dichotomous and Polytomous Items According to Classical Measurement Theory and Generalizability Theory: A Comparative Study [PDF]
المجلة الأردنية للعلوم التطبيقية-العلوم الانسانية, 2023 This study aimed to compare the reliability coefficients of tests with dichotomous and polytomous items according to Classical Test Theory and Generalizability Theory.
Abdal hadi Al-Gharaibh, Ahmad bani Ahmad
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GeneralizIT: A Python Solution for Generalizability Theory Computations
SoftwareXGeneralizIT is a Python package designed to streamline the application of Generalizability Theory (G-Theory) in research and practice. G-Theory extends classical test theory by estimating multiple sources of error variance, providing a more flexible and ...
Tyler J. Smith +2 more
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Investigating stable and dynamic aspects of student motivation using generalizability theory
Australian Journal of Psychology, 2020 Background The Academic Motivation Scale (AMS) is a commonly used 28‐item measure of motivation orientation. However, the scale has not been examined using methods to distinguish between state and trait aspects of motivation.
Mataroria P. Lyndon +3 more
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Coping with Unbalanced Designs of Generalizability Theory: G String V
International Journal of Assessment Tools in Education, 2019 The aim of this paper is to introduce a softwarethat is appropriate for the generalizability theory for not only balanced butalso unbalanced data sets.
Gülşen Taşdelen Teker
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, 2015 This chapter is a detailed review of generalizability theory (G theory), an extension of classical reliability theory originally devised by Cronbach. The basic concept is that any measurement contains multiple sources of error, and through the use of G ...
David L. Streiner +2 more
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Distinguishing trait and state competitiveness in university students using generalizability theory [PDF]
Discover PsychologyDuring transition to adulthood, competitiveness can significantly influence an individual’s success in academic, professional, and social contexts. This study applied the Revised Competitiveness Index (RCI) to a sample of 227 individuals aged 18 to 29 ...
Oleg N. Medvedev +3 more
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Extending Applications of Generalizability Theory-Based Bifactor Model Designs
Psych, 2023 In recent years, researchers have described how to analyze generalizability theory (GT) based univariate, multivariate, and bifactor designs using structural equation models.
Walter P. Vispoel +3 more
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Generalizability Theory Dissertation
, 2020 A dissertation project using secondary data analysis to explore the applications of Generalizability Theory within the field of anxiety.
Christoph Scheepers +1 more
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