Results 61 to 70 of about 7,588,198 (206)
Measuring Mindfulness: A Rasch Analysis of the Freiburg Mindfulness Inventory
The objective of the study was to assess the psychometric properties of the Freiburg Mindfulness Inventory (FMI-14) using a Rasch model approach in a cross-sectional design.
Siobhan Lynch +4 more
doaj +1 more source
Capturing Children's Voices in Healthcare: Development of the PREM‐Ped Questionnaire
ABSTRACT Aim Patient‐reported experience measures (PREMs) capture how care is experienced and are essential quality indicators in paediatric healthcare, supporting children's right to be heard. Compared with patient‐reported outcome measures (PROMs), which assess health status and well‐being, PREMs are less developed, particularly for children.
E. Broström +4 more
wiley +1 more source
Development and validation of a new patient-reported outcome measure for patients with pressure ulcers: the PU-QOL instrument. [PDF]
BACKGROUND: Patient-reported outcome (PRO) data are integral to patient care, policy decision making and healthcare delivery. PRO assessment in pressure ulcers is in its infancy, with few studies including PROs as study outcomes.
Gorecki, C +29 more
core +1 more source
Abstract Background Numerous studies have demonstrated the importance of academic emotions for learning, with boredom attracting significant attention due to its frequent occurrence in school life and the increasing evidence of its negative effects on academic results and motivation. Aims Building on Schwartze et al. (2024), this study examined whether
Jelena Radišić +6 more
wiley +1 more source
Abstract Given the increasing integration of Artificial Intelligence (AI) into everyday life and professional contexts, it is essential to investigate learners' existing capabilities regarding AI tools to inform possible interventions to equip them with necessary AI skills, but also advance the theoretical frameworks on digital skills measurement and ...
Christian Scheibenzuber +4 more
wiley +1 more source
Extended Rasch Modeling: The eRm Package for the Application of IRT Models in R [PDF]
Item response theory models (IRT) are increasingly becoming established in social science research, particularly in the analysis of performance or attitudinal data in psychology, education, medicine, marketing and other fields where testing is relevant ...
Patrick Mair, Reinhold Hatzinger
core
IRT‐based response style models and related methodology: Review and commentary
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
Reliability measures in knowledge structure theory
Abstract In knowledge structure theory (KST) framework, this study evaluates the reliability of knowledge state estimation by introducing two key measures: the expected accuracy rate and the expected discrepancy. The accuracy rate quantifies the likelihood that the estimated knowledge state aligns with the true state, while the expected discrepancy ...
Debora de Chiusole +3 more
wiley +1 more source
The Strategic Behaviour of SMEs
This paper analyses the strategic behaviour of small and medium-sized enterprises (SMEs) and identifies the entrepreneurial, technological, and administrative problems of the Miles and Snow typology (1978). This typology is applied to a sample of SMEs in
Vanessa Yanes-Estévez +2 more
doaj +1 more source
Flexible Rasch Mixture Models with Package psychomix [PDF]
Measurement invariance is an important assumption in the Rasch model and mixture models constitute a flexible way of checking for a violation of this assumption by detecting unobserved heterogeneity in item response data.
Carolin Strobl +3 more
core

