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A General Method for Estimating the Classification Reliability of Complex Decisions Based on Configural Combinations of Multiple Assessment Scores

Douglas, Karen - 2007

This study presents a general method for estimating the classification reliability of complex decisions based on multiple scores from a single test administration. The proposed method consists of four steps that can be applied to a variety of measurement models and configural rules for combining...

Persistent link: https://www.econbiz.de/10009450930

Should “multiple imputations” be treated as “multiple indicators”?

Mislevy, Robert - In: Psychometrika 58 (1993) 1, pp. 79-85

Persistent link: https://www.econbiz.de/10005757996

The role of collateral information about examinees in item parameter estimation

Mislevy, Robert; Sheehan, Kathleen - In: Psychometrika 54 (1989) 4, pp. 661-679

Persistent link: https://www.econbiz.de/10005758006

Randomization-based inference about latent variables from complex samples

Mislevy, Robert - In: Psychometrika 56 (1991) 2, pp. 177-196

Persistent link: https://www.econbiz.de/10005184109

Bayes modal estimation in item response models

Mislevy, Robert - In: Psychometrika 51 (1986) 2, pp. 177-195

Persistent link: https://www.econbiz.de/10005603592

Modeling item responses when different subjects employ different solution strategies

Mislevy, Robert; Verhelst, Norman - In: Psychometrika 55 (1990) 2, pp. 195-215

Persistent link: https://www.econbiz.de/10005603730

Evidence and inference in educational assessment

Mislevy, Robert - In: Psychometrika 59 (1994) 4, pp. 439-483

Persistent link: https://www.econbiz.de/10005603752

Marginal maximum likelihood estimation for a psychometric model of discontinuous development

Mislevy, Robert; Wilson, Mark - In: Psychometrika 61 (1996) 1, pp. 41-71

Persistent link: https://www.econbiz.de/10005612728

Does adaptive testing violate local independence?

Mislevy, Robert; Chang, Hua-Hua - In: Psychometrika 65 (2000) 2, pp. 149-156

Persistent link: https://www.econbiz.de/10005612775

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