Results 21 to 30 of about 30,498 (261)
Invariance measures for neural networks
Applied Soft Computing, 2023 Invariances in neural networks are useful and necessary for many tasks. However, the representation of the invariance of most neural network models has not been characterized. We propose measures to quantify the invariance of neural networks in terms of their internal representation.
Facundo Manuel Quiroga +3 more
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Frontiers in Psychology, 2014 One of the most frequently used procedures for measurement invariance testing is the multigroup confirmatory factor analysis (MGCFA). Muthén and Asparouhov recently proposed a new approach to test for approximate rather than exact measurement invariance ...
Jan eCieciuch +7 more
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Nonexistence of invariant measures [PDF]
Proceedings of the American Mathematical Society, 1983 Let G G be a group acting on a set
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The Problem of Measurement Equivalence or Invariance in Instruments
International Journal of Assessment Tools in Education, 2021 The purpose of this study is to discuss the validity of equivalence in the sample groups of young and adult; females and males in the scale of assessing the attitudes towards foreign language skills and to offer the researchers that will use this scale ...
Tülin (otbiçer) Acar
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Frontiers in Psychology, 2022 On page 1 of his classic text, Millsap (2011) states, “Measurement invariance is built on the notion that a measuring device should function the same way across varied conditions, so long as those varied conditions are irrelevant [emphasis added] to the ...
Andres De Los Reyes +3 more
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Measurement of color invariants
Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), 2002 This paper presents the measurement of object reflectance from color images. We exploit the Gaussian scale-space paradigm to define framework for the robust measurement of object reflectance from color images. Illumination and geometrical invariant properties are derived from a physical reflectance model based on the Kubelka-Munk theory.
Geusebroek, J.M. +2 more
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Are factor scores measurement invariant?
Psychological Methods, 2023 There has been increased interest in practical methods for integrative analysis of data from multiple studies or samples, and using factor scores to represent constructs has become a popular and practical alternative to latent variable models with all individual items. Although researchers are aware that scores representing the same construct should be
Mark H. C. Lai, Winnie Wing-Yee Tse
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Surplus-Invariant Risk Measures [PDF]
Mathematics of Operations Research, 2020 This paper presents a systematic study of the notion of surplus invariance, which plays a natural and important role in the theory of risk measures and capital requirements. So far, this notion has been investigated in the setting of some special spaces of random variables.
Gao, Niushan, Munari, Cosimo
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Frontiers in Psychology, 2023 The Patient Health Questionnaire-9 (PHQ-9) is widely used to measure the severity of depressive symptoms and to screen for depressive disorder, but its measurement invariance has received little research attention. The aim of this study was to assess the
Eun-Hyun Lee +3 more
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International Journal of Assessment Tools in Education, 2020 Measurement invariance analyses are carried out in order to find evidence for the structural validity of the measurement tools used in the field of educational sciences and psychology. The purpose of this research is to examine the measurement invariance
Kübra Atalay Kabasakal +1 more
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