COURSES AT TEACHERS COLLEGE
COURSES AT NORTHWESTERN
STAT 202 INTRODUCTION TO STATISTICS
I taught this 2018 - 2020
STAT 328 CAUSAL INFERENCE
WINTERS 2020 - PRESENT
STAT 353 ADVANCED REGRESSION
SPRING 2022, WINTER 2023 - PRESENT
HUDM 5122 APPLIED REGRESSION ANALYSIS
Fall & Spring Semesters
Prerequisite: HUDM 4122 or permission of instructor. Least squares estimation theory. Traditional simple and multiple regression models and polynomial regression models, with grouping variables including one-way ANOVA, two-way ANOVA, and analysis of covariance. Lab devoted to applications of SPSS regression program.
HUDM 5130 META-ANALYSIS
Spring Semester (2013, 2015, 2017, etc)
Prerequisite: HUDM 5122 or permission of instructor. Methods for conducting a quantitative research synthesis using meta-analysis, including problem formulation, conducting a literature search, data evaluation, effect size coding, data analysis, and reporting the results.Focuses on statistical methods for summarizing the effects found in a study (effect sizes) and for combining the results of these studies under different models (meta-analysis).
HUDM 5133 CAUSAL INFERENCE FOR PROGRAM EVALUATION
Prerequisite: HUDM 5122 or permission of instructor. Causal inference methods for program evaluation, including a discussion of validity, the counterfactual model, and the importance of randomized experiments, as well as methods for analyzing data from observational studies using non-equivalent control group designs based on the propensity score, and brief introductions to instrumental variables and regression discontinuity designs.
HUDM 5126 LINEAR MODELS AND REGRESSION ANALYSIS
Offered every fall, I teach it occasionally
Prerequisite: HUDM 4125. Introduction to the theory and application of linear regression using calculus and matrix algebra. Focus on multiple regression models including dummy variables and polynomial models, regression diagnostics, and advanced methods such as weighted least squares, multilevel models, and an introduction to the generalized linear model.
COURSES AT TEACHERS COLLEGE
CURRENT DOCTORAL STUDENTS
Northwestern University students
2023 Ph.D. Statistics
2021 Ph.D. Statistics
Teachers College, Columbia University students
2021 Ph.D. Measurement & Evaluation
2019 Ph.D. Measurement & Evaluation
Current: Statistician, Institute for Interdisciplinary Salivary Bioscience Research
2017 Ph.D. Measurement & Evaluation
Current: Grants Project Director, ResponsiveEd
2016 Ed.D. Health Education
2015 Ph.D. Economics in Education
Current: Senior Research Scientist, Consortium for Policy Research in Education (CPRE), Teachers College
DISSERTATION COMMITTEE / MENTOR
Diego Luna Bazaldua
2016 Ph.D. Measurement & Evaluation
Current: Education Specialist, World Bank
2016 Ed.D. Nutrition
Current: Assistant Professor, Department of Population Health
MASTERS STUDENT MENTOR
2017 M.S. in Applied Statistics
Current: Ph.D. student in Statistics, Northwestern University
2017 M.A. in Economics in Education
Current: Ph.D. student in Economics, University of Wisconsin at Madison
2014 M.A. in Politics in Education
Current: Ph.D. student in Research Methodology, University of Virginia
2013 M.S. in Applied Statistics
Current: Ph.D. student in Quantitative Psychology, UNC-Chapel Hill
Students routinely ask me for letters of recommendation. For students that I know well and have worked with closely, I am more than happy to help. If you are interested in having me write a letter, please read the following.
CONSIDERATIONS WHEN ASKING ME FOR A LETTER:
The best letters of recommendation come from faculty that know a student well and can speak highly (in concrete terms) about that student’s motivation, personality, and abilities. This means that I need to know you . If you plan to ask for a letter one day, be sure to attend my office hours and to take more than one course with me.
I can write the strongest letters for you if you have taken an advanced class with me of some sort (beyond HUDM 5122) and/or if you have regularly visited me regarding a project paper, mentoring, etc.
In most cases, you need to have done well in my course (A or A-) in order to have a strong letter.
WHAT MATERIALS TO PROVIDE:
For writing the letter, please email me with the following: An un-official transcript; your CV or resume; your personal statement; information on the types of programs you will be applying for.
For submitting the letters, send me an email with the due dates and links. Periodically check in with me around the time that letters are due to ensure they have been submitted (I usually email you, but just in case). Don’t worry — this doesn’t offend me.
Let me know what happens!