Results 241 to 250 of about 1,871,607 (274)

Comparing Bayesian random coefficient prediction and latent interaction models for multilevel moderated mediation. [PDF]

Front Psychol
Lee S, Kim S.
europepmc   +1 more source

Unraveling Reading Achievement Through Educational Leadership, School Actions to Sustain Learning, Digital Self-Efficacy, and ICT-Related Factors: A Multilevel Mediation Analysis of PISA 2022 Türkiye Data. [PDF]

J Intell
Er Aydemir N, Şahin A.
europepmc   +1 more source

Decoding the shared genetic liability of lower respiratory tract infections via genomic structural equation modeling. [PDF]

BMC Pulm Med
Lei Y, Li J, Xie J, Wang T.
europepmc   +1 more source

Human learning of probability distributions is biased toward moderate structural complexity. [PDF]

Nat Commun
Teng T, Wenliang LK, Zhang H.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Bayesian SEM for Specification Search Problems in Testing Factorial Invariance

Multivariate Behavioral Research, 2017
Specification search problems refer to two important but under-addressed issues in testing for factorial invariance: how to select proper reference indicators and how to locate specific non-invariant parameters. In this study, we propose a two-step procedure to solve these issues.
Hairong Song, Dexin Shi, Robert Terry
exaly   +3 more sources

Bayesian SEM Analyses the Cyber Crime Awareness in India

International Journal of Society Systems Science, 2019
Crime is a major phenomenon in the world and it is challenging normal life of human society in such crimes as murder, rape, robbery, and computer-related crimes. Cyber-related crimes have happened more to individuals and others. These computer-related crimes are the most important crime and challenging modern society by tracking, hacking, cracking ...
K Ravichandran
exaly   +2 more sources

A Partial Correlation-Based Bayesian Network Structure Learning Algorithm Under Linear SEM

Knowledge-Based Systems, 2011
A new algorithm, the PCB (partial correlation-based) algorithm, is presented for Bayesian network structure learning. The algorithm effectively combines ideas from local learning with partial correlation techniques. It reconstructs the skeleton of a Bayesian network based on partial correlation and then performs a greedy hill-climbing search to orient ...
Aiguo Wang
exaly   +3 more sources

Web Based Application Maintenance Cost Estimation Modeling Using Bayesian SEM

Advanced Materials Research, 2011
The objectives of this research were to find out the Structural equation modeling coefficient and other parameter estimation under unknown prior distribution and compare this new model’s coefficient accuracy with the former model on “Web based application maintenance cost estimation multi group modeling” [16].
Somchai Prakancharoen
openaire   +2 more sources

Corrigendum to: Bayesian evaluation of informative hypotheses in SEM using Mplus

European Journal of Developmental Psychology, 2014
This paper corrects: van de Schoot, R., Verhoeven, M., & Hoijtink, H. (2013). Bayesian evaluation ofinformative hypotheses in SEM using Mplus: A black bear story. EuropeanJournal of Developmental Psychology, 10, 81 –98.
van de Schoot, R., Verhoeven, Marjolein, Hoijtink, H.   +2 more
openaire   +3 more sources

Smart Factory Technologies and Their Transformative Implications: A Blavaan and Bayesian SEM

Total Quality Management and Business Excellence
Anthony Bagherian
exaly   +2 more sources