Xinya Liang Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Associate Professor

University of Arkansas at Fayetteville

faculty

14 h-index 60 pubs 869 cited

Research Areas

Innovative Teaching and Learning Methods Meta-analysis and systematic reviews Behavioral and Psychological Studies Education Systems and Policy Diet and metabolism studies Metal and Thin Film Mechanics Health Sciences Research and Education Psychometrics

Links

ORCID Lab Website

Is this your profile? Verify and claim your profile

OverviewAI-generated summary

Xinya Liang studies the effectiveness of various educational and behavioral interventions, often employing meta-analysis and systematic review methodologies. Her work has examined the impact of gamification in programming education and the influence of task type and learner language background on writing production and anxiety. Liang has also investigated the potential role of beef and its constituent nutrients in the well-being of older adults through a systematic review of randomized controlled trials.

Her research extends to statistical modeling, including work on Bayesian regularization in multiple-indicator multiple-cause models and the sensitivity of fit measures in measurement invariance testing within structural equation modeling. She has also contributed to research on the mechanical properties of corroded carbon steel in marine environments and explored the simple view of reading in Kiswahili.

Liang is a Co-Principal Investigator on a National Science Foundation grant totaling $179,019. This project aims to identify longitudinal trends in psychological safety and its correlation with sense of belonging and success beliefs. She collaborates with researchers at the University of Arkansas at Fayetteville, including Angela Tacinelli, Sam Walker, Jihong Zhang, and Ejike Edeh, with whom she has co-authored multiple publications.

Metrics

h-index: 14
Publications: 60
Citations: 869

Selected Publications

Path Analysis With Mixed-Scale Variables: Categorical ML, Least Squares, and Bayesian Estimations (2025) DOI
Sensitivity of Fit Indices to Model Complexity and Misspecification in Exploratory Structural Equation Modeling (2025) DOI
An Integrated, Multimedia Approach to Delivering Food, Exercise, and Nutrition Education for Prevention of Chronic Disease (DFEND) (2025) DOI
Development of Nutrition and Physical Activity Literacy Frameworks and Assessment Tools for U.S. Adults (2025) DOI
The influence of task type and learner language background on writing production and anxiety: A Bayesian linear mixed-effects analysis (2025) DOI
Beyond baby talk: Unique vocal dynamics directed at older adults. (2025) DOI
Comparing Frequentist and Bayesian Methods for Factorial Invariance with Latent Distribution Heterogeneity (2025) DOI
A Systematic Review and Meta-Analysis of Chemical Sanitizer Efficacy Against Biofilms of Listeria monocytogenes, Salmonella enterica, and STEC on Food Processing Surfaces (2025) DOI
Probing beyond: The impact of model size and prior informativeness on Bayesian SEM fit indices (2025) DOI
Evaluating General Network Scoring Methods as Alternatives to Traditional Factor Scoring Methods (2024) DOI
Model Selection Posterior Predictive Model Checking via Limited‐Information Indices for Bayesian Diagnostic Classification Modeling (2024) DOI
The Impact of Ignoring Cross-loadings on the Sensitivity of Fit Measures in Measurement Invariance Testing (2023) DOI
Children across cultures respond emotionally to the acoustic environment (2023) DOI
Supporting multilingual children at-risk of reading failure: impacts of a multilingual structured pedagogy literacy intervention in Kenya (2023) DOI
Some Knowns and Unknowns About Developing Cognitive Excellence: History, Research Methods, Policy, and Politics (2023) DOI