Mimi Engel is an associate professor and chair of the Research & Evaluation Methodology (REM) program in the CU-Boulder School of Education. Dr. Engel's work spans several areas including teacher labor markets (focus on teacher hiring) and early skill formation (focus on mathematics teaching and learning for young children), and contextual influences on children, the central aim of her research is to provide new information about policies, programs, and administrative factors that have the potential to improve students’ school-related outcomes, particularly among students from traditionally under-served populations. Dr. Engel uses both quantitative and qualitative methods to conduct program evaluations and analyses investigating issues in education policy. One of her current areas of focus is a research-practice partnership with Denver Public Schools focused on supporting the district around policies related to teachers and students.
keywords
teacher labor markets, early skill formation, program evaluation, educational policy, mixed methods educational research, early childhood mathematics teaching and learning, kindergarten, preschool, prekindergarten
EDUC 4716 - Basic Statistical Methods
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Fall 2019 / Fall 2020
Introduces descriptive statistics including graphic presentation of data, measures of central tendency and variability, correlation and prediction, and basic inferential statistics, including the t-test.
EDUC 5716 - Basic Statistical Methods
Primary Instructor
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Fall 2018 / Fall 2019 / Fall 2020 / Fall 2021
Introduces descriptive statistics including graphic presentation of data, measures of central tendency and variability, correlation and prediction, and basic inferential statistics, including the t-test.
EDUC 7326 - Quasi-Experimental Design in Causal Inference in Social Sciences
Primary Instructor
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Spring 2022
Focuses on experimental and quasi-experimental designs in educational research; applications of the general linear mode; power and statistical efficiency; randomization and control; multiple comparisons; factorial experiments and interaction with fixed-factor and mixed design; analysis of covariance; effects of assumption violations; and related computer programs for statistical analysis.
EDUC 7386 - Educational Evaluation
Primary Instructor
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Spring 2020 / Spring 2021
Builds an understanding of the range of approaches taken by educational evaluators, focusing particularly on the evaluation of programs. Explores the nature of different evaluation perspectives and how these disparate views translate into methodological and conceptual models. Students develop a familiarity with the most common and influential approaches to evaluation.
EDUC 8230 - Quantitative Methods I
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Fall 2022
Explores the use of statistics to formalize research design in educational research. Introduces descriptive statistics, linear regression, probability, and the basics of statistical inference. Includes instruction in the use of statistical software, (e.g., SPSS.).
EDUC 8240 - Quantitative Methods II
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Spring 2018 / Spring 2019
Continues the exploration of research design in the social sciences, especially the evaluation of the quantitative research reported in professional journals. Introduces instances of the general linear model (both multiple regression and ANOVA) and its application to educational research.
