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Chengyu Cui; Chun Wang; Gongjun Xu – Grantee Submission, 2024
Multidimensional item response theory (MIRT) models have generated increasing interest in the psychometrics literature. Efficient approaches for estimating MIRT models with dichotomous responses have been developed, but constructing an equally efficient and robust algorithm for polytomous models has received limited attention. To address this gap,…
Descriptors: Item Response Theory, Accuracy, Simulation, Psychometrics
Al Hashmi, Waleed; Klassen, Robert M. – International Journal of School & Educational Psychology, 2020
In Oman, applicants are selected for initial teacher education programs (ITEPs) based mainly on their academic achievements. Applicants' non-cognitive attributes (NCAs) (e.g., resilience and motivation) receive less attention. Situational judgment tests (SJTs) are a type of simulation test that are used in the candidate selection process for…
Descriptors: Teacher Education Programs, Academic Achievement, Decision Making, Tests
Favez, Nicolas; Frascarolo, France – Early Child Development and Care, 2020
The coparental relationship is central for the development of the child and the well-being of parents. In Western societies, gender-role stereotypes are strongly associated with domestic and family work. To date, few data are available to assess the links between identification with gender roles and coparenting interactions. In this study,…
Descriptors: Child Rearing, Sex Role, Gender Issues, Marital Satisfaction
Selecting for Creativity and Innovation Potential: Implications for Practice in Healthcare Education
Patterson, Fiona; Zibarras, Lara Dawn – Advances in Health Sciences Education, 2017
The ability to innovate is an important requirement in many organisations. Despite this pressing need, few selection systems in healthcare focus on identifying the potential for creativity and innovation and so this area has been vastly under-researched. As a first step towards understanding how we might select for creativity and innovation, this…
Descriptors: Creativity, Innovation, Foreign Countries, Physicians
Beauducel, Andre – Applied Psychological Measurement, 2013
The problem of factor score indeterminacy implies that the factor and the error scores cannot be completely disentangled in the factor model. It is therefore proposed to compute Harman's factor score predictor that contains an additive combination of factor and error variance. This additive combination is discussed in the framework of classical…
Descriptors: Factor Analysis, Predictor Variables, Reliability, Error of Measurement