明尼苏达大学李浩然课题组招收教育统计学博士
4110
About UMN
Founded in 1851 as a public land-grant university, the University of Minnesota (UMN) is widely recognized as one of the top ten public research institutions in the country. The University ranks 10th among public universities in research spending, with more than $1 billion annually. The University’s mission, carried out throughout the state, is threefold: research and discovery, teaching and learning, and outreach and public service.
Position Overview
Dr. Haoran Li at the University of Minnesota is seeking one highly motivated candidate to pursue a Ph.D. degree from the Department of Educational Psychology with a focus on Quantitative Methods in Education (QME), starting in the Fall of 2025. The candidate is encouraged to apply with interests in topics including multilevel modeling, generalized linear (mixed) models, development of advanced statistical methods for single-case experimental designs (SCEDs), Monte Carlo simulation, and/or scale development and validation.
The Position will be located at the UMN Twin-City campus in Minneapolis, Minnesota.
Dr. Haoran Li’s home page: edpsych.umn.edu
Featured Project
Design Comparable Incidence Rate Ratio (IRR) Effect Sizes for Count Data in Single-Case Experimental Designs (funded by Institute of Education Sciences)
Method Development: Develop and evaluate methods to estimate design-comparable incidence rate ratio (IRR) effect sizes for count data in single-case experimental designs (SCEDs).
Benchmark Establishment: Conduct meta-analyses of SCED studies using regression-based approaches to establish domain-specific IRR benchmarks.
Tool Creation: Develop an R package and a user-friendly web-based Shiny application.
Responsibilities
The successful candidate is expected to conduct research in one or more of the following areas
; Conduct Monte Carlo simulation study to evaluate newly developed methods and effect size measures for SCEDs.
; Establish domain-specific benchmark for newly developed effect sizes in SCEDs
; Evaluate Bayesian approach with very small samples
; Develop power analysis tools to inform decisions on experimental designs.
; Develop shiny apps to facilitate the application of the newly developed methods.
; Evaluate psychometric properties of new instruments/scales
Preferred Knowledge, Skills and Competencies
; Excellent verbal and written communication skills
; A demonstrated commitment to high-quality research
; Proficiency in R and/or SAS programing
; Resilient and highly motivated to learn
Application
Interested candidates are encouraged to send your resume/CV to [email protected]
Application to the QME program can be made online at edpsych.umn.edu
More information about QME program can be found here:
https://edpsych.umn.edu/academics/quantitative-methods
QME Program Infomation Session
Time: Octorber 28, 2024, at 10:00 am, Central Time
Registration: umn.zoom.us
Founded in 1851 as a public land-grant university, the University of Minnesota (UMN) is widely recognized as one of the top ten public research institutions in the country. The University ranks 10th among public universities in research spending, with more than $1 billion annually. The University’s mission, carried out throughout the state, is threefold: research and discovery, teaching and learning, and outreach and public service.
Position Overview
Dr. Haoran Li at the University of Minnesota is seeking one highly motivated candidate to pursue a Ph.D. degree from the Department of Educational Psychology with a focus on Quantitative Methods in Education (QME), starting in the Fall of 2025. The candidate is encouraged to apply with interests in topics including multilevel modeling, generalized linear (mixed) models, development of advanced statistical methods for single-case experimental designs (SCEDs), Monte Carlo simulation, and/or scale development and validation.
The Position will be located at the UMN Twin-City campus in Minneapolis, Minnesota.
Dr. Haoran Li’s home page: edpsych.umn.edu
Featured Project
Design Comparable Incidence Rate Ratio (IRR) Effect Sizes for Count Data in Single-Case Experimental Designs (funded by Institute of Education Sciences)
Method Development: Develop and evaluate methods to estimate design-comparable incidence rate ratio (IRR) effect sizes for count data in single-case experimental designs (SCEDs).
Benchmark Establishment: Conduct meta-analyses of SCED studies using regression-based approaches to establish domain-specific IRR benchmarks.
Tool Creation: Develop an R package and a user-friendly web-based Shiny application.
Responsibilities
The successful candidate is expected to conduct research in one or more of the following areas
; Conduct Monte Carlo simulation study to evaluate newly developed methods and effect size measures for SCEDs.
; Establish domain-specific benchmark for newly developed effect sizes in SCEDs
; Evaluate Bayesian approach with very small samples
; Develop power analysis tools to inform decisions on experimental designs.
; Develop shiny apps to facilitate the application of the newly developed methods.
; Evaluate psychometric properties of new instruments/scales
Preferred Knowledge, Skills and Competencies
; Excellent verbal and written communication skills
; A demonstrated commitment to high-quality research
; Proficiency in R and/or SAS programing
; Resilient and highly motivated to learn
Application
Interested candidates are encouraged to send your resume/CV to [email protected]
Application to the QME program can be made online at edpsych.umn.edu
More information about QME program can be found here:
https://edpsych.umn.edu/academics/quantitative-methods
QME Program Infomation Session
Time: Octorber 28, 2024, at 10:00 am, Central Time
Registration: umn.zoom.us
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