Michael F. Hull

Assistant Professor of Education, General Faculty
Unit: School of Education and Human Development
Department: School of Education and Human Development
Office location and address
405 Emmet St S
Charlottesville, Virginia 22903
EDLF 2080: Fundamentals of Health and Social Sciences Statistics
Credits: 3
This introductory statistics course covers descriptive and inferential statistics for application in the health and social sciences. It provides a systematic development of the concepts, principles, and tools of statistics with an emphasis on representation, analysis, and drawing conclusions from authentic data grounded in the health and social sciences.
ZFOR 3506: International Study
Placeholder course for students studying abroad
EDHS 4993: Independent Study
Credits: 1–6
Independent Study
EDLF 5330: Quantitative Methods and Data Analysis I
Credits: 3
The course covers descriptive and inferential statistics. Students learn to identify the type of data, select appropriate statistic and graphical methods, analyze data, and interpret the results. Specific methods include the t-test, chi-square test, correlation, simple linear regression, one-way ANOVA, and repeated measures ANOVA. Calculations are done by hand and with statistical software.
EDLF 7180: Tests and Measurements
Credits: 3
Proposed: This introductory course concentrates on the evaluation and interpretation of assessment tools. Topics include reliability and validity; social and ethical considerations of testing; summarizing and interpreting measurements; and the use of standardized tests, rating scales, and observational scales. .
EDLF 7403: Survey Design & Instrument Construction
Credits: 3
This course provides students with practical experience in survey research. Topics focus on survey design, administration, analysis, and reporting. Specific topics include item writing guidelines, cognitive interviews and pilot testing, survey implementation and planning, sampling methods, data analysis, and presentation of survey results. Particular attention is given to strategies for ensuring reliable survey responses and valid inferences.
EDLF 8310: Generalized Linear Models
Credits: 3
Focus is on the generalized linear model (GLM) for cases when variables have specific non-normal conditional distributions, with emphasis on common data analytic challenges that arise in real world settings. Topics include nonlinear relationships, nominal and ordinal outcomes, discrepant data, and bootstrapping methods. Course materials are grounded in applied examples from the social and health sciences.
EDLF 8385: Survey Inquiry for Practitioners with Data Management and Analysis
Credits: 3
Focus is given to Problems of Practice (POPs) through systematic quantitative inquiry, specifically focusing on survey processes, questions and strategies used to conduct meaningful inquiry in educational settings. The course begins with the process for survey development followed by basic statistical processes and procedures for organizing and analyzing data from surveys. A co-requisite for the class is EDLF 8386: Survey Lab of Practice.
EDLF 8386: Lab of Practice of Survey Inquiry
Credits: 1
This Lab of Practice complements EDLF 8385: Survey Inquiry. The Lab provides a structured opportunity to engage in survey work on a very small scale allowing for practicing the main ideas focused on in EDLF 8385: Survey Inquiry.
EDLF 9740: Internship in College Teaching or Supervision
Credits: 1–6
Opportunities for experienced doctoral students to teach courses or partial courses at the University, or to supervise student teachers under the guidance of a faculty member. Opportunities are arranged by the students with the assistance of the sponsoring faculty member.