Jihong Zhang

Learn harder, Play harder

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I currently hold the position of Assistant Professor of Educational Statistics and Research Methods (ESRM) at the department of Counseling, Leadership, and Research Methods (CLRM), University of Arkansas. Previously, I served as a postdoctoral fellow at the Chinese University of Hong Kong in the department of Social Work. My academic journey in psychometrics starts with a doctoral training with Dr. Jonathan Templin in the Educational Measurement and Statistics (EMS) program at the University of Iowa. My primary research recently focuses on reliability and validation of psychological/psychometric network, Bayesian latent variable modeling, Item Response Theory modeling, and other advanced psychometric modeling. My expertise lies in the application of advanced statistical modeling in the fields of psychology and education, including multilevel modeling and structural equation modeling. My work is characterized by a commitment to enhancing the methodological understanding and application of statistics in educational research and beyond.

University of Arkansas | Assistant Professor | Dec 2022 - Current
The Chinese University of Hong Kong | Postdoctoral Fellow | Dec 2022 - June 2023
Stanford Research Institute (SRI) | Associate Researcher (Intern) | June 2021 - Jan 2022

Bayesian Psychometric Modeling
Psychometric network and Latent variable modeling
Machine Learning and data mining in Education
Diagnostic Classification Models

Ph.D. | Educational Measurement & Statistics | University of Iowa | 2019 - 2022
M.S. | Educational Psychology | University of Kansas| 2015 - 2019
B.S. | Applied Psychology | Soochow University | 2009 - 2013
B.S. | Law | Soochow University | 2011 - 2013

Teaching

ESRM 64503: Applied Multivariate Analysis

Fall 2024, Monday, 5:00-7:45PM, Classroom GRAD 0210, 2024/8/19 - 2024/12/5

The online syllabus at the address provided above will always have the most up-to-date information. Multivariate statistical procedures as applied to educational research…

ESRM 6553: Advanced Multivariate Analysis

Spring 2024, Mondays, 5:00-7:45PM, Classroom GRAD 0229

This course offers an in-depth exploration of multivariate statistics within the context of Bayesian inferences. Bayesian statistics have been widely used in public health…

Recent posts

Sum Score, Factor Score, and Reliability

Customize font family of visual mode in Rstudio and in Zotero

How to set up High Performance Computing

Data visualization for survey data

A tutorial for forester R package

One Template for Quarto Report

Moving My Website to Quarto

A Conversation between R and Python on Data Analysis and Machine Learning

Latent Class Model: Batch Mplus using R on Mac

Dissertation Defence

NSF Grant on Bayesian Cognitive Diagnosis

Web Scraping Academia Institute’s Grant Fundings using R

Power Analysis for Structural Equation Modeling

[Workshop] Creating Academic Blog via R

Gradient Descent Algorithm via julia

Health Care Data Analysis with Apple Watch

[Pre-print] A Model Comparison Approach to Posterior Predictive Model Checks in Bayesian Confirmatory Factor Analysis

Study Notes: gt package and format table

Introduction to Latent Attribute Network Analysis

Which Country own the most Liberty Nobel Prizes? France? Ireland?

Make a Game in R

Introduce gganimate for Psychometric

Lasso Regression Example using glmnet package in R

Visuliaztion of Item Information Curves In R

Brief Introducation to JAGS and R2jags in R

Introduce Descrepancy Measures

How to do Data Cleaning in R

My New Shiny App Cut Score Consistency

Latent Profile Analysis using MCLUST (in R)

CFA Measurement Invariance

Simulation Study of Linking Using Mirt

How to use lavaan package to perform Confirmatory Factor Analysis