In the present research, we used item response theory (IRT) to examine whether effective predictions (anticipated affect) conforms to a typical (i.e., what people usually do) or a maximal behavior process (i.e., what people can do). The former, correspond to non-monotonic ideal point IRT models, whereas the latter correspond to monotonic dominance IRT models. A convenience, cross-sectional stud...

The scale of entrepreneurial ecosystems (EE) assesses the perceptions about ecosystem domains, finances, capital support, support professions, policies, markets, human resources, and culture. scales are always error-prone—these must possess properties that enable them it to provide maximum information validity reliability. Convenient sampling data from (n = 474) founders, co-founders, entrepren...

BACKGROUND Item response theory (IRT) is extensively used to develop adaptive instruments of health-related quality of life (HRQoL). However, each IRT model has its own function to estimate item and category parameters, and hence different results may be found using the same response categories with different IRT models. The present study used the Rasch rating scale model (RSM) to examine and r...

PURPOSE The purpose of this study was to calibrate the items for the Communicative Participation Item Bank (CPIB; Baylor, Yorkston, Eadie, Miller, & Amtmann, 2009; Yorkston et al., 2008) using item response theory (IRT). One overriding objective was to examine whether the IRT item parameters would be consistent across different diagnostic groups, thereby allowing creation of a disorder-generic ...

The serial position effect shows that two interrelated cognitive processes underlie immediate recall of a supraspan word list. The current study used item response theory (IRT) methods to determine whether the serial position effect poses a threat to the construct validity of immediate list recall as a measure of verbal episodic memory. Archival data were obtained from a national sample of 4,21...

The  present  study  aimed  at  investigating  DIF  sources  on  an  EFL  reading  comprehension test.  Accordingly,  2  DIF  detection  methods,  logistic  regression  (LR)  and  item  response theory  (IRT),  were  used  to  flag  emergent  DIF  of  203  (110  females  &  93  males)  Iranian EFL examinees’ performance on a reading comprehension test. Seven hypothetical DIF sources were examin...

Penelitian ini adalah penelitian empirik dengan tujuan untuk mengetahui (1) karakteristik tes UAS kelas VI Sekolah Dasar yang dianalisis pendekatan Item Response Theory (IRT), (2) perbandingan tingkat daya beda butir (IRT) . dilakukan di Negeri 1 Megati berada Kabupaten Tabanan pengambilan data menggunakan teknik stratified random sampling. Karakteristik disusun software Winsteps. Hasil analisi...

Item response theory (IRT) models emerged to solve practical testing problems in large-scale cognitive achievement and aptitude assessment. Within the last decade, an explosion of IRT applications have occurred in the non-cognitive domain. In this report, I highlight the development, implementation, and results of a single project: Patient Reported Outcomes Measurement Information Systems (PROM...

Item Response Theory (IRT) models enable researchers to evaluate test or survey subjects and questions simultaneously to more accurately judge the difficulty and quality of the test as well as the strength of each subject. Most IRT analyses use parametric models, often without satisfying the necessary assumptions of these models. The KernSmoothIRT package uses kernel smoothing from Ramsay (1991...

Item response theory (IRT) models are a class of statistical models used by researchers to describe the response behaviors of individuals to a set of categorically scored items. The most common IRT models can be classified as generalized linear fixedand/or mixed-effect models. Although IRT models appear most often in the psychological testing literature, researchers in other fields have success...