Handbuch Der Sozialwissenschaftlichen Datenanalyse 2010
DOI: 10.1007/978-3-531-92038-2_14
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Item-Response-Theorie

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Cited by 15 publications
(8 citation statements)
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“…Still, we decided to use this combination on basis of the reasons mentioned above. The Rasch Model assumes that the probability P(X v,i ) of a person ν giving a certain answer X for an item i depends on two factors: (1) the item difficulty, σ i , and (2) the person's ability θ ν [28], which are estimated simultaneously on the same scale. This means, the numbers for person abilities and item difficulties can be directly compared.…”
Section: Discussionmentioning
confidence: 99%
“…Still, we decided to use this combination on basis of the reasons mentioned above. The Rasch Model assumes that the probability P(X v,i ) of a person ν giving a certain answer X for an item i depends on two factors: (1) the item difficulty, σ i , and (2) the person's ability θ ν [28], which are estimated simultaneously on the same scale. This means, the numbers for person abilities and item difficulties can be directly compared.…”
Section: Discussionmentioning
confidence: 99%
“…This model can be used to estimate unidimensional latent abilities [26]. The model assumes that the probability P(Xv,i) of a person ν giving a certain answer X for an item i depends on two factors: (1) the item difficulty, σi, and (2) the person's ability θν [28], which are estimated simultaneously on the same scale. This means, the numbers for person abilities and item difficulties can be directly compared.…”
Section: Discussionmentioning
confidence: 99%
“…me of idea, n. Adto be of the of the ations of the idea through learning effects (claim II.3) do not have to be just theoretically formulated but can be already implemented also due to the character of the instruction for the verbal exams. Within our next step we address RQ 2 and the trainees' capability values as well as the difficulties of the Opportunity Recognition tasks/sub-items (Geiser & Eid 2010). As basis for this analysis the reports are coded dichotomously: value 0 was coded when there was no evidence for the postulated behavior, value 1 was coded when the postulated behavior could be observed in accordance with our OR-model (Table 1).…”
Section: Instrument and Analysesmentioning
confidence: 99%