Results 121 to 130 of about 2,564,834 (301)

UMCS: Measurement Invariance Analysis

Sintax to run UMCS-28 measurement invariance ...
Anna Dalla Rosa, Nelson A. D'Silva, Evgenia Lysova, Serdar Karabati, Michelangelo Vianello, Brittany Buis   +5 more
core   +2 more sources

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Invariance in Measurement and Prediction Revisited

measurement invariance, predictive invariance, factorial invariance, test bias, selection accuracy,
Roger Millsap
core   +1 more source

Measurement invariance according to sex and education.

, 2020
Measurement invariance according to sex and education.
Lisa Jamieson (6029273), Pedro Henrique Ribeiro Santiago (6664166), Yin Paradies (799095), João Luiz Bastos (7292255), Dandara Gabriela Haag (5348936), Davi Manzini Macedo (7832864)   +5 more
core   +1 more source

On the Invariant Measure for the Ostrovsky Equation

Journal of Dynamical and Control Systems, 2017
In this paper, we construct invariant measures for the Ostrovsky equation associated with conservation laws. On the other hand, we prove the local well- posedness of the initial value problem for the periodic Ostrovsky equation with initial data in $H^{s}(\mathbb{T})$ for $s>-1/2$.
openaire   +3 more sources

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Types of Measurement Invariance.

, 2016
Types of measurement invariance, with parameters unable to be equated displayed in red and dashed. (A) Strict factorial invariance, with between group differences arising from different factor means and/or different factor variances.
Judy L. Silberg (430008), Michael C. Neale (362257), Brad Verhulst (697241), Ashlee A. Moore (2591119)   +3 more
core   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Evaluating the PCL-5 in China: new insights from its assessments over time and gender invariance

Annals of General Psychiatry
Background In the latest research, it is proposed that the intrusions symptoms of the structure of post-traumatic stress disorder (PTSD) were divided into internally-generated and externally-generated.
Tao Yang, Wei Chen, Qiaodan Lu, Qiufen Meng, Haiyan Liu   +4 more
doaj   +1 more source

Test of measurement invariance by gender.

, 2019
Test of measurement invariance by gender.
Christina Mastropaolo (6298373), Daniel Cruz (643311), Yubelky Rodriguez (6298370)   +2 more
core   +1 more source