2003
DOI: 10.1111/j.1745-3984.2003.tb01098.x
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Generalizability Theory

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Cited by 189 publications
(380 citation statements)
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“…We included only appropriate generalizations in our analyses 8 . In generalizability theory, when aiming to "generalize across" conditions of measurement, such conditions are treated as sources of unreliable variance (Brennan, 2001;Cronbach et al, 1972;Putka & Hoffman, 2014). In Table 3, for example, when scores aggregated to the dimension-level are generalized across both assessors and exercises, both assessor-and exercise-related sources of variance are specified as contributing to unreliable variance.…”
Section: Discussionmentioning
confidence: 99%
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“…We included only appropriate generalizations in our analyses 8 . In generalizability theory, when aiming to "generalize across" conditions of measurement, such conditions are treated as sources of unreliable variance (Brennan, 2001;Cronbach et al, 1972;Putka & Hoffman, 2014). In Table 3, for example, when scores aggregated to the dimension-level are generalized across both assessors and exercises, both assessor-and exercise-related sources of variance are specified as contributing to unreliable variance.…”
Section: Discussionmentioning
confidence: 99%
“…There are many possible reasons for model misspecification and thus confounding: these include omission, data unavailability, and design factors that prevent the isolation of particular effects (Brennan, 2001;Putka & Hoffman, 2013). For example, if the assessor-to-participant ratio in an AC is not >1:1, then it is impossible to isolate assessor-related effects.…”
Section: Do Confounds Limit the Interpretability Of Research On Ac Ramentioning
confidence: 99%
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