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    LIN MA

  • Denver CO
  • (559) 835-9197
  • Lin.Ma28@du.edu

EDUCATION

University of Denver, Morgridge College of Education Denver, CO

Ph.D. Research Methods & Statistics Expected 05/2022

California State University, Fresno Fresno, CA

Master of Arts in Education, Counseling & Student Service 05/2017

Henan University Henan, China

Master of Arts in Education, Curriculum & Instruction 05/2015

SKILLS

  • Programming: SPSS, Stata, Mplus, R, Python, AMOS, HLM7, Java, MySQL, HTML5, CSS
  • Quick-learner on new technologies and detailed-oriented self-starter
  • Task-oriented and problem-solving effective team player
  • WORK EXPERIENCE

    BASE Education, LLCDenver, CO
    Research Analyst 09/2019-Present
  • Develop and implement assessments for school staff to monitor student growth in SEL competencies
  • Data manipulation and performance evaluation by using SPSS, Mplus, STATA, R, and Python
  • Provide managing, writing, and coordinating of proposals and manuscripts, resulting in CASEL approval
  • Consult research design, data structure analysis, and interpretation procedure for BASEline project
  • Morgridge College of Education, Research Methods & Statistics Denver, CO
    Graduate Teaching Assistant (ANOVA, MANOVA, Corr & Reg, Meta-analysis) 09/2018-06/2020
  • Delivered lectures in Multivariate Analysis and ANOVA (on-site & remote)
  • Facilitated lab sessions and class activities
  • Tutored statistics programming and software demo
  • Reviewed and graded students' assignments
  • Morgridge College of Education, Research Methods & Statistics Denver, CO
    Graduate Research Assistant 09/2018-06/2019
  • Conducted and drafted literature reviews in CRISPA
  • Developed course materials, topic in Photovoice research design
  • Facilitated and consulted RMIS Lunch & Learn events
  • Analyzed qualitative data (coding, transcribing)
  • California State University, International Student Services & Program (ISSP) Fresno, CA
    Student Advisor 01/2017-05/2017
  • Utilized Excel spreadsheets to organize data on students' educational record
  • Organized data file and documents through MS Word, Excel, Powerpoint
  • Collected data, mailed certificates, updated student lists and mails
  • Designed slides for presentations and workshops on campus resources
  • PROJECTS

    Database Management 09/2019-12/2019
  • Clarified conceptual database purpose, plan, business rules, and data elements
  • Created database diagrams and physical design by using MySQL server
  • Visualized customers, products, and HR analytics results by using Tableau
  • Bike Sharing Predictive Analytics 09/2018-12/2018
  • Used two-year bike-sharing datasets including the counts aggregated on hourly basis and daily basis
  • Applied predictive models include the Linear Regression Model, Decision Tree, and Knn
  • Registered counts, temperature, and casual users significantly impact the count of rental bikes daily
  • Registered number, temperature, and humidity significantly impact the count of rental bike hourly
  • CONFERENCE RESEARCH

    Evaluating the efficacy of a school-based universal mental health education intervention (AERA) 2021
  • Evaluated the efficacy of BASE mental health educational intervention through RCT
  • MANCOVA results shown significant improvement on school social-emotional engagement
  • Teacher rated 4-point scale with an internal consistency of 0.965
  • Examining and Validating PATHS Model by East-Asian Preschoolers (AERA) 04/2020
  • Examined four PATHS theoretical models and validated the PATHS evaluation tool
  • Confirmatory Factor Analysis indicated correlational model has adequate fit
  • Measurement invariance concluded PATHS was valid for gender group (scalar invariance)
  • Missing Data and Bias in Population Parameter Estimation (NRMERA) 10/2019
  • Compared two techniques: Maximum Likelihood (ML) and Multiple Imputation (MI)
  • Simulation data sets were generated and applied to test hypothesis by R programming
  • Multiple linear regression model was applied to detect parameters estimates
  • MI are more accurate than ML (with a higher percentage of missingness)
  • RELEVANT COURCES

  • Structure Equation Modeling
  • Latent Growth Curve Modeling
  • Correlation & Regression
  • Psychometric Theory
  • Item Response Theory
  • Hierarchical Linear Modeling
  • Predictive Analytics
  • Python Programming
  • Web Content Management
  • Qualitative Data Collection & Analysis