{"id":201,"date":"2020-07-15T19:38:31","date_gmt":"2020-07-15T19:38:31","guid":{"rendered":"https:\/\/research.ced.ncsu.edu\/vear-mi\/?page_id=201"},"modified":"2022-06-17T03:46:48","modified_gmt":"2022-06-17T03:46:48","slug":"project-description-2","status":"publish","type":"page","link":"https:\/\/research.ced.ncsu.edu\/vear-mi\/project-description-2\/","title":{"rendered":"Project Description"},"content":{"rendered":"\n

Purpose<\/h1>\n\n\n\n

The VEAR-MI project seeks to move the conversation beyond ambitious instruction and take initial steps towards specifying and measuring practices that are necessary to adequately respond to the growing needs of those who have not been well-served in mathematics classes. The main goals of VEAR-MI are to:<\/p>\n\n\n\n

  1. validate a set of rubrics that attend to the existence and the quality of instructional practices that support equity and access in mathematics classes<\/li>
  2. clarify the relationships between the practices outlined in the rubrics and aspects of teachers\u2019 perspectives and knowledge as well as student outcomes<\/li><\/ol>\n\n\n\n

    Through the systematic examination and evaluation of assumptions and inferences about the scoring, generalizations, and extrapolations that can be made for the EAR-MI rubrics, this project hopes to present a framework by which future analyses of observational protocols can be conducted and offer valuable insights into the procedures for making and testing validity arguments and determining the impact of the practices that such measures are intended to evaluate. Ultimately, the VEAR-MI project aims to yield foundational knowledge for improving mathematics teaching and learning, particularly for historically marginalized students, and address the critical need for research that directly links instructional practices that support marginalized students to student achievement and participation.<\/p>\n\n\n\n

    Methods<\/h1>\n\n\n\n

    The VEAR-MI project aims to expand the validation process to ensure that we and other users of the EAR-MI rubrics can draw valid inferences from the resulting data. Specifically, our four-phased project uses Kane\u2019s (2016) \u201cargument-based approach to validity\u201d to systematically build an argument for validity.  We leverage data from two past research projects:<\/p>\n\n\n\n