Rasch Models in Health 2012
DOI: 10.1002/9781118574454.ch9
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Cited by 28 publications
(21 citation statements)
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“…Unidimensionality was assessed through a test of equality of the observed correlation of the two subscales with the expected correlation under the assumption that they measured one and the same latent variable [ 51 ], and we used parametric bootstrapping for exact p-values.…”
Section: Methodsmentioning
confidence: 99%
“…Unidimensionality was assessed through a test of equality of the observed correlation of the two subscales with the expected correlation under the assumption that they measured one and the same latent variable [ 51 ], and we used parametric bootstrapping for exact p-values.…”
Section: Methodsmentioning
confidence: 99%
“…The null hypothesis of a locally independent scale is weakened and might be rejected in favour of the alternative hypothesis, suggesting a multidimensional scale, in the following situations: When the proportion of individuals with significantly different person-location estimates on a pair of related subscales exceeds 5% (or the lower bound of the binominal 95% confidence interval (CI) exceeds 5%) [ 40 – 43 ]; when the subtest analysis in RUMM points to low common subscale variance and high unique subscale variance (i.e. low fractal index A < 0.8 and high fractal index c close to 0.5, respectively) [ 44 ]; when a multidimensional Rasch model obtains a better data-model fit than a one-dimensional Rasch model (i.e.…”
Section: Methodsmentioning
confidence: 99%
“…Attempts to fit a unidimensional model to the 10 items failed because there was evidence of positive and negative local dependence, indicating a multidimensional structure . Therefore, the items were separated into two sets based on the question type.…”
Section: Resultsmentioning
confidence: 99%