Allison Atteberry is an assistant professor of in the Research and Evaluation Methodology program at the CU Boulder School of Education. Her academic interests center on policies and interventions that are intended to help provide effective teachers to the students who need them most. This has led to a focus on the identification, selection, development, and retention of teachers who have positive impacts on student achievement. Specific topics include the development of measures of teacher and school effectiveness, teacher preparation, high quality professional development, mentoring and peer collaboration, efforts to use measures of effectiveness formatively to improve practice, policies that target district responses to teachers and schools based on measures of effectiveness, and incentives for the strongest teachers to work with the most disadvantaged populations. Dr. Atteberry has expertise in both econometric and statistical approaches to education policy analysis.
education policy, development of teaching effectiveness, measuring school quality, educational equity, quantitative research methods, school interventions
EDUC 7326 - Quasi-Experimental Design in Causal Inference in Social Sciences
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 7456 - Multilevel Modeling
Fall 2018 / Fall 2020
Covers in depth two advanced multivariate models common to social science research: latent variable (structural equation) models and multi-level (hierarchical) models. Topics may be taught with a particular analytic context, such as measurement of change (longitudinal analysis) or experimental design.
EDUC 8240 - Quantitative Methods II
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.
EDUC 8270 - Intermediate and Advanced Application of Quantitative Methods for Behavioral Scie
This courses helps students develop the pragmatic skills needed to conduct quantitative analyses in their own research, in which they must apply concepts with novel data and in novel settings. It also provides a formal introduction to a variety of interstitial topics in quantitative analysis that may be assumed knowledge in more advanced methods courses. In addition, students will learn how to teach themselves new quantitative methods as they need them in their future careers.