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Conference Presentations

Conference papers, posters, and research workshops

A record of conference research in quantitative methodology, measurement, education, and interdisciplinary social science. Accepted presentations for upcoming meetings are identified explicitly.

30Conference contributions
2021–2027Research timeline
7Accepted presentations in 2027
Jump to: 2027202620252024202320222021

2027

Accepted presentations · AERA (Toronto) and SSWR (San Francisco)

AERA · ACCEPTED PAPER
Liu, L., Yi, H., & Okech, D. (2027, April).
Interpretable variance prior calibration for Bayesian multilevel logistic regression models [Accepted paper presentation].
American Educational Research Association Annual Meeting (April 14–18, 2027), Toronto, Ontario, Canada.
AERA · ACCEPTED ROUNDTABLE
Yang, H., Liu, J., Liu, L., & Yang, R. (2027, April).
Revisiting the factor structure of the Ethical Sensitivity Scale: Empirical evidence for a general factor [Roundtable presentation, accepted].
American Educational Research Association Annual Meeting (April 14–18, 2027), Toronto, Ontario, Canada.
AERA · ACCEPTED PAPER
Liu, J., Liu, L., Gray, A., Wang, J., & Yang, H. (2027, April).
Uneven gains: A mixed-effects analysis of ethical sensitivity change after animated video intervention [Paper presentation, accepted].
American Educational Research Association Annual Meeting (April 14–18, 2027), Toronto, Ontario, Canada.
SSWR · ACCEPTED PAPER
Liu, L., Okech, D., Cody, A., & Goulart, P. (2027, January).
Are human trafficking severity scores comparable across contexts? Evidence from Malawi and Zambia [Accepted paper presentation].
Society for Social Work and Research Annual Conference, San Francisco, CA.
SSWR · ACCEPTED PAPER
Mukasa, E., Liu, L., & Zeng, Y. (2027, January).
State immigration policy and mental health outcomes across immigration generations: Evidence from national data [Accepted paper presentation].
Society for Social Work and Research Annual Conference, San Francisco, CA.
SSWR · ACCEPTED PAPER
Okech, D., Liu, L., Cody, A., Konteh, F., & Hwang, E. M. (2027, January).
Force, fraud, and coercion profiles among children meeting a trafficking classification in Sierra Leone: A latent class analysis [Accepted paper presentation].
Society for Social Work and Research Annual Conference, San Francisco, CA.
SSWR · ACCEPTED PAPER
Okech, D., Liu, L., Cody, A., & Hwang, E. M. (2027, January).
Sex trafficking and commercial sex: Outcomes in suicidality and economic strain among young women [Accepted paper presentation].
Society for Social Work and Research Annual Conference, San Francisco, CA.

2026

MWERA · ACCEPTED PAPER
Yang, H., Liu, J., & Liu, L. (2026, October).
A Bayesian approach to understanding academic integrity: How ethical ideology shapes student sensitivity [Accepted paper presentation].
Mid-Western Educational Research Association Annual Meeting, Milwaukee, WI.
FALL TECHNICAL CONFERENCE · ACCEPTED
Yi, H., Hasan, A., Liu, L., Okech, D., & Olalere, A. (2026, October).
An explainable artificial intelligence framework for child trafficking risk assessment [Accepted paper presentation].
Fall Technical Conference, Charlotte, NC.
TIP GLOBAL PRACTICE SUMMIT
Okech, D., Liu, L., & Cody, A. (2026, September).
Bayesian multilevel modelling for policy-usable prevalence estimates: Pooling information across settings and data sources [Conference presentation].
Trafficking in Persons (TIP) Global Practice Summit, Mexico City, Mexico.
JSM · PAPER
Yi, H., Liu, X., Deng, X., Liu, L., & Okech, D. (2026, August).
New respondent-driven sampling perspectives for rare and hidden populations [Paper presentation].
Joint Statistical Meetings, Boston, MA.
MODERN MODELING METHODS · PAPER
Liu, L., Liu, J., & Okech, D. (2026, June).
Scenario-specific fit-index cutoffs for sparse ordinal CFA: Monte Carlo calibration across estimators and category collapsing [Paper presentation].
Modern Modeling Methods Conference, New York, NY.
SWSD · WORKSHOP
Okech, D., Liu, L., Cody, A., Bolton, C., Yi, H., Waswa, A., & Goulart, P. (2026, June).
Measuring the unseen: Mixed methods and Bayesian multilevel modelling in survivor-centered child trafficking research [Workshop].
Joint World Conference on Social Work, Education and Social Development, Nairobi, Kenya.
SWSD · PAPER
Okech, D., Liu, L., Cody, A., Goulart, P., & Waswa, A. (2026, June).
Profiles of child trafficking in Sierra Leone’s Eastern Province: A latent class analysis of labor sectors, hazardous tasks, and force, fraud, and coercion [Paper presentation].
Joint World Conference on Social Work, Education and Social Development, Nairobi, Kenya.
AERA · PAPER
Liu, J., Liu, L., & Jiang, W. (2026, April).
Assessing the performance of Bayesian and traditional estimators in confirmatory factor analysis with sparse Likert-scale data [Paper presentation].
American Educational Research Association Annual Meeting, Los Angeles, CA.
AERA · PAPER
Liu, L., Liu, J., Jenkins, A., & Yang, H. (2026, April).
Profiling ethical sensitivity: A person-centered analysis of student judgments on academic misconduct [Paper presentation].
American Educational Research Association Annual Meeting, Los Angeles, CA.
AERA · PAPER
Liu, L., Cody, A., Okech, D., Yi, H., Waswa, A., & Goulart, P. (2026, April).
Beyond rescue: Child trafficking, educational access, and reintegration in Eastern Sierra Leone [Paper presentation].
American Educational Research Association Annual Meeting, Los Angeles, CA.
ESWRA · POSTER
Liu, L., Okech, D., & Cody, A. (2026, April).
Economic strain, wealth, and household child trafficking in Eastern Sierra Leone: Evidence from a district-representative survey [Poster].
European Social Work Research Association Conference, Aberdeen, Scotland.

2025

JSM · PAPER
Liu, L., Okech, D., & Yi, H. (2025, August).
Informative variance priors for Bayesian multilevel modeling with large and small samples [Paper presentation].
Joint Statistical Meetings, Nashville, TN.
JSM · PAPER
Yi, H., Okech, D., Liu, L., Clay-Warner, J., Waswa, A., & Goulart, P. (2025, August).
Prevalence estimation for nonprobability samples: Link-tracing sampling and respondent-driven sampling [Paper presentation].
Joint Statistical Meetings, Nashville, TN.
HARD-TO-REACH POPULATIONS · PAPER
Okech, D., Yi, H., Cody, A., & Liu, L. (2025, August).
Between and beyond respondent-driven sampling and link-tracing sampling: Adaptive sampling design and prevalence estimation [Paper presentation].
2nd International Conference on Hard-to-Reach Populations: Applied Research and Data Collection Methods with Hidden, Marginal, and Excluded Populations, Oxford, United Kingdom.

2024

NCME · PAPER
Liu, L., & Sanders, E. A. (2024, April).
Informative inverse-gamma variance priors for Bayesian multilevel item response model precision [Paper presentation].
National Council on Measurement in Education Annual Meeting, Philadelphia, PA.
NCME · PAPER
Liu, L., & Walker, M. (2024, April).
Fine-tuned word embeddings for enemy item detection [Paper presentation].
National Council on Measurement in Education Annual Meeting, Philadelphia, PA.

2023

PACIFIC NORTHWEST PSYCHOMETRICS · PAPER
Liu, L., Walker, M., & Weir, J. (2023, November).
Unveiling enemy item pairs through machine learning approaches [Paper presentation].
Second Annual Pacific Northwest Conference for Research on Psychometrics & Applied Statistics, Seattle, WA.
PSYCHOMETRIC SOCIETY · POSTER
Liu, L., & Sanders, E. A. (2023, July).
Bayesian variance component priors for small-sample multilevel models [Poster].
International Meeting of the Psychometric Society, College Park, MD.
AERA · POSTER
Liu, L., & Sanders, E. A. (2023, April).
On informative Bayesian multilevel model priors for variance components [Poster].
American Educational Research Association Annual Meeting, Chicago, IL.
NCME · PAPER
Liu, L., Walker, M., & Weir, J. (2023, April).
An exploration of natural language processing for enemy item detection [Paper presentation].
National Council on Measurement in Education Annual Meeting, Chicago, IL.

2022

AERA · PAPER
Liu, L. (2022, April).
Structural equation modeling: A systematic review [Paper presentation].
American Educational Research Association Annual Meeting, Virtual.
NCME · PAPER
Liu, L., & Boyd, A. (2022, April).
DIF analyses for embedded field test items in a computerized adaptive test [Paper presentation].
National Council on Measurement in Education Annual Meeting, Virtual.

2021

AERA · PAPER
Liu, L., & Collier, Z. (2021, April).
Causal inference made easy: A review of the DoWhy package in Python [Paper presentation].
American Educational Research Association Annual Meeting, Virtual.

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