2000
DOI: 10.1002/(sici)1097-0258(20000615/30)19:11/12<1651::aid-sim453>3.0.co;2-h
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Modern psychometric methods for detection of differential item functioning: application to cognitive assessment measures

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Cited by 156 publications
(80 citation statements)
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References 65 publications
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“…Isso pôde ser observado desde a Subescala de Atenção,no item retenção de números, que consta da repetição de números em ordem direta e inversa e, no total de pontos dessa subescala, que é considerada, quando comparada com as demais, com itens relativamente fáceis, sendo empregada na avaliação de comprometimentos cognitivos avan-ç a d o s 2 0 . Nestes, o grupo de analfabetos apresentou o pior desempenho dentre todos, enquanto o grupo com 15-16 anos de escolaridade tendeu a apresentar os melhores resultados(Tabelas 3 e 4), corroborando outros estudos em que a escolaridade, também, influenciou no desempenho dessa atividade 12,17,20,21 .…”
Section: Discussionunclassified
“…Isso pôde ser observado desde a Subescala de Atenção,no item retenção de números, que consta da repetição de números em ordem direta e inversa e, no total de pontos dessa subescala, que é considerada, quando comparada com as demais, com itens relativamente fáceis, sendo empregada na avaliação de comprometimentos cognitivos avan-ç a d o s 2 0 . Nestes, o grupo de analfabetos apresentou o pior desempenho dentre todos, enquanto o grupo com 15-16 anos de escolaridade tendeu a apresentar os melhores resultados(Tabelas 3 e 4), corroborando outros estudos em que a escolaridade, também, influenciou no desempenho dessa atividade 12,17,20,21 .…”
Section: Discussionunclassified
“…This number was determined from the need to ensure that a uniform distribution of patients was obtained across the construct of activity limitation, so that the precision of the estimate of both persons and items, across the construct, remains similar and a sufficient number of cases were collected within each musculoskeletal condition group to test for invariance across groups [24]. The sample does not need to be representative of the selected population, as the mathematical model is independent of distribution, but it should have a good distribution across the activity limitation domain, as well as sufficient cases within each diagnostic group [24]. At least, 79 sets of repeated responses were required in each musculoskeletal condition to demonstrate that a test-retest correlation of 0.7 differs from a background correlation (constant) of 0.45, with 90% power at the 1% significance level.…”
Section: Sample Sizementioning
confidence: 99%
“…This was tested by a series of t-tests (one for each individual) [30], and the proportion of significant t-tests should be <5% to indicate unidimensionality. The property of invariance across groups (Differential Item Functioning), is tested for by age, gender and condition groups [24,26,27,31]. Ideal Fit and other indicators are shown at the bottom of the fit table.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…In the framework of Rasch measurement, the scale should be free of item bias or DIF. [18] Differential item functioning occurs when different groups within the sample (e.g., younger and older persons) respond in a different manner to an individual item, despite having equal levels of the underlying characteristic being measured. For example, younger and older patients with equal levels of disability may respond systematically differently to a self-care item such as getting dressed.…”
Section: Assessmentmentioning
confidence: 99%