2006
DOI: 10.3758/bf03192809
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Using the open-source statistical language R to analyze the dichotomous Rasch model

Abstract: R, an open-source statistical language and data analysis tool, is gaining popularity among psychologists currently teaching statistics. R is especially suitable for teaching advanced topics, such as fitting the dichotomous Rasch model-a topic that involves transforming complicated mathematical formulas into statistical computations. This article describes R's use as a teaching tool and a data analysis software program in the analysis of the Rasch model in item response theory. It also explains the theory behin… Show more

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Cited by 11 publications
(8 citation statements)
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“…These factor analyses were based on polychoric correlations in the R software (R Core Team, 2013). The R package was chosen due to its flexibility working with dichotomous data (Li, 2008). Exploratory factor analysis was conducted on the 15 items from each construct.…”
Section: Resultsmentioning
confidence: 99%
“…These factor analyses were based on polychoric correlations in the R software (R Core Team, 2013). The R package was chosen due to its flexibility working with dichotomous data (Li, 2008). Exploratory factor analysis was conducted on the 15 items from each construct.…”
Section: Resultsmentioning
confidence: 99%
“…If a person’s ability exceeds the item difficulty, she passes this task with a probability higher than 0.5, relative to the difference in levels and vice versa. We calculated parameter estimates and fit statistics using the open-source statistical language R following the protocol described by Yuelin [48].…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, we used Rasch analysis to modulate the original NEI VFQ-25 responses. Rasch analysis enables persons and items to be positioned on a linear scale according to estimated item calibration values and visual ability (Li 2006;Andrich 2011). Rasch analysis was performed using a partial credit model for polytomous item responses that were based on conditional maximal likelihood (CML) estimates.…”
Section: Integrated Visual Field and Glaucoma Stagingmentioning
confidence: 99%