Results 31 to 40 of about 30,498 (261)
On Continuity of Invariant Measures [PDF]
Main Theorem. Let Φ \Phi
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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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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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The Measurement Invariance of Schizotypy in Europe [PDF]
AbstractThe short version of the Oxford-Liverpool Inventory of Feelings and Experiences (sO-LIFE) is a widely used measure assessing schizotypy. There is limited information, however, on how sO-LIFE scores compare across different countries. The main goal of the present study is to test the measurement invariance of the sO-LIFE scores in a large sample
Fonseca-Pedrero E +7 more
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Investigation of the Measurment Invairance of the Social Media Addiction Scale
This study aims to examine the measurement invariance of the Social Media Addiction Scale (SMAS) in terms of gender, time spent on social media accounts, and the number of social media accounts.
Mehtap Aktaş +2 more
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Let $\mu$ be a probability measure on $(\mathscr{R}, \mathscr{B})$, where $\mathscr{R}$ is the real line and $\mathscr{B}$ the family of Borel sets on $\mathscr{R}$. A measurable set `$A$' is called $\mu$-invariant if $\mu(A + \theta) = \mu(A) \mathbf{\forall} \theta, -\infty < \theta < \infty$.
Blum, Julius R., Pathak, Pramod K.
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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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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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Molecular characterization of covRS mutations in M1UK Streptococcus pyogenes
Group A Streptococcus (GAS) acquires covRS mutations driving a hypervirulent bacterial state, frequently associated with invasive disease‐like necrotizing fasciitis. We demonstrate that the newly emerged M1UK GAS lineage can also acquire these mutations.
Jarrad Pritchard +12 more
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Measurement Invariance of the WHODAS 2.0 in a Population-Based Sample of Youth. [PDF]
The World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) is a brief measure of global disability originally developed for adults, which has since been implemented among samples of children and youth. However, evidence of its validity
Melissa Kimber +2 more
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