IRT‐based response style models and related methodology: Review and commentary
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract We provide a review and commentary on recent methodological research related to item response theory (IRT) modelling of response styles in psychological measurement. Our review describes the different categories of IRT models that have been proposed, their associated assumptions and extensions, and the varying purposes they can serve.
Daniel M. Bolt, Lionel Meng
wiley +1 more source
Rasch fit statistics and sample size considerations for polytomous data
BMC Medical Research Methodology, 2008 Background Previous research on educational data has demonstrated that Rasch fit statistics (mean squares and t-statistics) are highly susceptible to sample size variation for dichotomously scored rating data, although little is known about this ...
Fallowfield Lesley J +4 more
doaj +1 more source
On multidimensional item response theory -- a coordinate free approach
, 2007 A coordinate system free definition of complex structure multidimensional item response theory (MIRT) for dichotomously scored items is presented.
Antal, Tamás
core +1 more source
Differential item functioning due to gender between depression and anxiety items among Chilean adolescents [PDF]
, 2012 Although much is known about the higher prevalence of anxiety and depressive disorders among adolescent females, less is known about the differential item endorsement due to gender in items of commonly scales used to measure anxiety and depression.
Achenbach T.M. +12 more
core +1 more source
An extension of the basic local independence model to multiple observed classifications
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The basic local independence model (BLIM) is appropriate in situations where populations do not differ in the probabilities of the knowledge states and the probabilities of careless errors and lucky guesses of the items. In some situations, this is not the case. This work introduces the multiple observed classification local independence model
Pasquale Anselmi +8 more
wiley +1 more source
Reducing the length of a Goldberg Based Personality Questionnaire using Item Response Theory & Confirmatory Factor Analysis : a thesis presented in partial fulfilment of the requirements for the degree of Masters of Science in Psychology at Massey University, Albany, New Zealand [PDF]
, 2006 Objectives: This study seeks to reconstitute an existing personality questionnaire by identifying the items that capture the best quality information as measured through item Response Theory (IRT).
Phillips, Nathan Conrad
core
Identifiability conditions in cognitive diagnosis: Implications for Q‐matrix estimation algorithms
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The Q‐matrix of a cognitively diagnostic assessment (CDA), documenting the item‐attribute associations, is a key component of any CDA. However, the true Q‐matrix underlying a CDA is never known and must be estimated—typically by content experts.
Hyunjoo Kim +2 more
wiley +1 more source
Behavioral SciencesSmall-scale (e.g., classroom) assessment represents the most common and needed scenario for cognitive diagnostic testing. In such settings, polytomously scored items (e.g., constructed-response tasks) are widely used, as they provide more fine-grained ...
Junjie Li +4 more
doaj +1 more source
Investigating invariant item ordering in the Mental Health Inventory : an illustration of the use of different methods [PDF]
, 2014 Invariant item ordering is a property of scales whereby the items are scored in the same order across a wide range of the latent trait and across a wide range of respondents.
Meijer, Rob R. +3 more
core +2 more sources
Differential item functioning detection across multiple groups
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Differential item functioning (DIF) can be investigated by estimating item response theory (IRT) parameters separately for different respondent groups, thus allowing for the detection of discrepancies in parameter estimates across groups. However, before comparing the estimates, it is necessary to convert them to a common metric due to the ...
Michela Battauz
wiley +1 more source