Results 11 to 20 of about 4,488 (202)
Statistical indices from bifactor models
Interacciones, 2017 Many instruments are created with the primary purpose of scaling individuals on a single trait. However psychological traits are often complex and contain domain specific manifestations.
Sergio Alexis Dominguez-Lara +1 more
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Fluxgate Sensor with Bifactor Excitation Mode
Sensors, 2023 The paper considers non-destructive testing (NTDs) as a means to solve the flaw detection problems of magnetic products. It proposes a new probe-coil magnetic-field NDT, not requiring the pre-magnetization of the test object material, which is mandatory for all conventional magnetic flaw detection techniques.
Ivan V. Bryakin +3 more
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Identifiability of Bifactor Models
Statistica Sinica, 2020 The bifactor model and its extensions are multidimensional latent variable models, under which each item measures up to one subdimension on top of the primary dimension(s). Despite their wide applications to educational and psychological assessments, this type of multidimensional latent variable models may suffer from non-identifiability, which can ...
Fang, Guanhua +4 more
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Psychiatry International, 2021 Neurocognitive abilities have frequently been claimed to be involved in the aetiology of psychopathology. Neurocognitive deficits have been reported across many disorders, and theoretical perspectives associate these deficits to the onset and maintenance
Darren Haywood +3 more
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Is there a general factor in goal commitment?
SA Journal of Industrial Psychology, 2020 Orientation: While scholars generally agree that organisations benefit from a motivated workforce that is committed to achieving organisational goals, there is much disagreement regarding the theoretical structure of goal commitment.
Xander van Lill +2 more
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Bifactor and Bifactor S-1 Model Estimations with Non-Reverse-Coded Data
Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi, 2022 The bifactor model is an extension of Spearman’s two-factor theory. The bifactor model has a strict assumption, which is named orthogonality. The bifactor S-1 model was developed by stretching the orthogonality assumption of the bifactor model. The bifactor S-1 model, contrary to the bifactor model, allows correlation between specific factors and ...
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Measuring State and Trait Anxiety: An Application of Multidimensional Item Response Theory
Behavioral Sciences, 2023 The State-Trait Inventory for Cognitive and Somatic Anxiety (STICSA) is a widely used measure of state and trait anxiety. Within the Classical Testing Theory model, consistent findings provide support for its multidimensional factor structure ...
Leonardo Carlucci +4 more
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A validation study of the self-compassion scale-short form (SCS-SF) with ant colony optimization in a Turkish sample [PDF]
Psihologija, 2023 The general purpose of this study is to validate the Turkish version of the short form of Self- Compassion Scale (SCS) by Ant Colony Optimization (ACO). For this purpose, data were collected from two different samples. Sample-1 (n = 398) and Sample-2 (n =
Koğar Esin Yılmaz, Koğar Hakan
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Frontiers in Psychology, 2023 Self-efficacy is an essential component of students’ motivation and success in writing. There have been great advancements in our theoretical understanding of writing self-efficacy over the past 40 years; however, there is a gap in how we empirically ...
Morgan Les DeBusk-Lane +5 more
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Psicología Educativa: Revista de los Psicólogos de la Educación, 2022 Cooperative learning has been found to be more productive in academic, personal, and social variables than individualistic or competitive settings, but there is a lack of adequate assessment instruments.
Javier Fernandez-Rio +4 more
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