Results 21 to 30 of about 2,564,834 (301)

The Causal Model of Public Acceptance of Genetically Modified Food: An Invariance Analysis

open access: yesDiscrete Dynamics in Nature and Society, 2021
Measurement invariance refers to the equivalence of measurement instrument in different groups. Research on social science often involves comparing different groups, such as whether the relationship between two variables is the same in male and female ...
Longji Hu, Hui Li, Suqiu Tan, Yi Zhang
doaj   +1 more source

Perceived Health Outcomes of Recreation Scale: Measurement Invariance over Gender

open access: yesIranian Journal of Public Health, 2022
Background: Research handling structural differences among groups presume that the measurement tool works similarly among the groups and the results of measurements provide similar psychometric properties.
Elif Köse   +5 more
doaj   +1 more source

Measurement invariance in the assessment of people with an intellectual disability [PDF]

open access: yes, 2011
Intellectual assessment is central to the process of diagnosing an intellectual disability and the assessment process needs to be valid and reliable. One fundamental aspect of validity is that of measurement invariance, i.e.
MacLean, Hannah   +9 more
core   +1 more source

Measurement of color invariants

open access: yesProceedings 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
openaire   +5 more sources

Invariance measures for neural networks

open access: yesApplied 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
openaire   +3 more sources

Comparing results of an exact versus an approximate (Bayesian) measurement invariance test: A cross-country illustration with a scale to measure 19 human values

open access: yesFrontiers 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
doaj   +1 more source

Leadership Excellence in Corporate Communications: A Multi-Group Test of Measurement Invariance

open access: yesSAGE Open, 2021
This study aims at advancing leadership research in corporate communications by introducing a more rigorous statistical approach to test whether communication professionals of different hierarchical reporting levels, years of experience, and educational ...
Juan Meng
doaj   +1 more source

Measurement Invariance Testing of Career Anxiety Scale by Gender and Grade Level

open access: yesSakarya University Journal of Education, 2022
This study aimed to examine measurement invariance of the Career Anxiety Scale developed by Çetin-Gündüz and Nalbantoğlu-Yılmaz (2016). For this purpose, multigroup confirmatory factor analysis was performed to test measurement invariance by gender and ...
Hicran Çetin Gündüz   +1 more
doaj   +1 more source

Are factor scores measurement invariant?

open access: yesPsychological 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
openaire   +2 more sources

Surplus-Invariant Risk Measures [PDF]

open access: yesMathematics 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
openaire   +6 more sources

Home - About - Disclaimer - Privacy