2005
DOI: 10.1007/1-4020-3076-2
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Applied Rasch Measurement: A Book of Exemplars

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Cited by 15 publications
(4 citation statements)
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“…The point-biserial correlation for the items ranged from 0.02 to 0.44. Alagumalai, Curtis, and Hungi [20] classified the point measure correlation value into five categories, namely very good (>0.40), good (0.30-0.39), sufficient (0.20-0.29), unable discriminatory (0.00-0.19), and requires examination of items (<0.00). Based on that category, there are 4 items with a very good category, 7 items have a good category, 12 items have sufficient category, and 27 items have unable discriminatory category.…”
Section: Resultsmentioning
confidence: 99%
“…The point-biserial correlation for the items ranged from 0.02 to 0.44. Alagumalai, Curtis, and Hungi [20] classified the point measure correlation value into five categories, namely very good (>0.40), good (0.30-0.39), sufficient (0.20-0.29), unable discriminatory (0.00-0.19), and requires examination of items (<0.00). Based on that category, there are 4 items with a very good category, 7 items have a good category, 12 items have sufficient category, and 27 items have unable discriminatory category.…”
Section: Resultsmentioning
confidence: 99%
“…The research sample amounted to 121 young mothers spread across West Sumatra. Research data were analyzed using the rasch model using statistical analysis of conformity [49]- [51]. The statistical analysis used outfit mean square (MNSQ) value parameter with an ideal range (+0.5 to +1.5), outfit z-standard value (ZSTD) with an ideal range (-2.0 to +2.0)to find the suitability of items and people, detect measurement bias, item strengths and weaknesses, and the item difficulty level of the person's ability to answer and to reveal postpartum rage behavior [51].…”
Section: Methodsmentioning
confidence: 99%
“…Items that match (fit) means that the question behaves consistently with what is expected by the model. Some of the fit indices provided in the Rasch analysis are Person Infit ZSTD, Person Outfit ZSTD, Person Infit MNSQ, Person Outfit MNSQ, Item Infit ZSTD, Item Outfit ZSTD, Item Infit MNSQ, and Item Outfit MNSQ (Alagumalai, Curtis, & Hungi, 2005;Boone, Staver, & Yale, 2013).…”
Section: Literature Reviewmentioning
confidence: 99%