What question did this study set out to answer?

To identify explicit model assumptions and formulate sensitive goodness-of-fit tests for evaluating whether psychometric data conform to the Rasch measurement model.

November 1, 1980British Journal of Mathematical and Statistical Psychology

Testing and obtaining fit of data to the Rasch model

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To identify explicit model assumptions and formulate sensitive goodness-of-fit tests for evaluating whether psychometric data conform to the Rasch measurement model.
Derived goodness-of-fit statistical tests based on conditional maximum-likelihood estimates of item parameters.
Assessed test sensitivity and statistical power against common sources of deviation, including multidimensional item and person parameters.
Examined measurement frameworks comparing the operational role of the Rasch model as an absolute criterion versus an applied instrument.
Established statistical goodness-of-fit tests capable of detecting deviations requiring multiple item or person parameters.
Identified that misfitting test items should not be routinely discarded to force model fit, recommending grouping into homogeneous subsets instead.

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Implication

Methodological evaluation demonstrates conditional maximum-likelihood goodness-of-fit tests in psychometric assessments, indicating that misfitting items should be grouped rather than deleted.

Cite This Study

Jan‐Eric Gustafsson (1980) studied this question.

synapsesocial.com/papers/6a17c344cf49e78c48b46d2f https://doi.org/10.1111/j.2044-8317.1980.tb00609.x

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Implication

Methodological evaluation demonstrates conditional maximum-likelihood goodness-of-fit tests in psychometric assessments, indicating that misfitting items should be grouped rather than deleted.

Testing and obtaining fit of data to the Rasch model

Key Points

Discussion

Implication

Cite This Study

Testing and obtaining fit of data to the Rasch model

Key Points

Discussion

Implication

Cite This Study

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