Results 41 to 50 of about 2,564,834 (301)
Vitali’s theorem for invariant measures [PDF]
Csn, lim.,0 XkSn=0, and XkUU,/XkSn_oa. (Xk denotes Lebesgue measure in the space X = Rk. The number a is called a parameter of regularity at x.) The invariance under translation of the set-function Xk suggests the point of view adopted in the present generalization of Vitali's theorem.
Comfort, W. W., Gordon, Hugh
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Measurement equivalence is often assumed across comparison groups, a pervasive problem related to many self-report instruments. Measurement equivalence, also known as measurement invariance, implies that a measure has the same meaning across different ...
Yee Cheng Kueh +4 more
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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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Measurement invariance testing.
Measurement invariance testing.
Patricio Mena-Chamorro (8741991) +6 more
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Relating Measurement Invariance, Cross-Level Invariance, and Multilevel Reliability
Data often have a nested, multilevel structure, for example when data are collected from children in classrooms. This kind of data complicate the evaluation of reliability and measurement invariance, because several properties can be evaluated at both ...
Suzanne Jak, Terrence D. Jorgensen
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Measurement invariance between countries.
Measurement invariance between countries.
João Marôco (5186372) +1 more
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ADHD Measurement Invariance systematic review
ADHD Measurement Invariance systematic ...
Silia Vitoratou +1 more
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Summary of measurement invariance analysis.
Summary of measurement invariance analysis.
Leon T. de Beer (11846513) +2 more
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On Relatively Invariant Measures [PDF]
In this note we will discuss the question of the measurability of the multiplier function of a relatively invariant measure on a group. That is, for a group G, σ-ring S, and a measure μ defined on the sets of S, we assume: E in S, x in G implies xE is in S and μ(XE) = σ(x)μ(E) and study the measurability of the function σ(x).The problem was discussed ...
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Bayesian invariant measurements of generalization [PDF]
The problem of evaluating different learning rules and other statistical estimators is analysed. A new general theory of statistical inference is developed by combining Bayesian decision theory with information geometry. It is coherent and invariant. For each sample a unique ideal estimate exists and is given by an average over the posterior.
Huaiyu Zhu 0001, Richard Rohwer
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