The present study explores the convergent and predictive validity for several widely used measures of teaching quality from the Measures of Effective Teaching Project (Bill and Melinda Gates Foundation, 2009-2011). Specifically, the Classroom Assessment Scoring System (CLASS; Pianta, Hamre, & Mintz, 2012), the Framework for Teaching (FFT; Danielson Group, 2013), and the Tripod Student Perceptions Scale (Tripod; Ferguson, 2008) were examined. Correlations among measures were assessed by developmental level and content area (elementary mathematics N = 70; elementary English language arts N = 101; middle school mathematics N = 291, middle school English language arts N = 280). Both average scores and score variability (i.e., coefficient of variation) for the CLASS, FFT, and Tripod were used to predict value-added models (VAM), a high-stakes measure of students' academic growth. For elementary mathematics and ELA, findings indicated the CLASS and FFT exhibited moderate convergent validity while divergent validity was found between the Tripod and the CLASS and FFT. Across content areas in middle school grades, the CLASS, FFT, and Tripod exhibited moderate to high-moderate convergent validity. Average student and observer scores were positively related to VAM scores, whereas variability in scores demonstrated negative relations to VAM scores. Implications of findings for teacher evaluation and professional development are discussed. For decades, practitioners, researchers, and policy makers have endeavored to generate measures that capture "effective teaching" (Stronge, Ward, & Grant, 2011). Teachers have the potential to play a pivotal role in the academic and social-emotional development of their students (Pianta, 1999), yet education research indicates there is considerable variation in the quality of instruction students receive within and across classrooms (Chetty, Friedman, & Rockoff, 2011; Cohen & Goldhaber, 2016; Cohen, Ruzek, & Sandilos, 2018). In the United States, evaluation of effective teaching has propelled forward with the adoption of federal policies that provide incentives based on teacher qualifications and student achievement, such as the Teacher Incentive Fund (Heyburn, Lewis, & Ritter, 2010) and Race to the Top (U.S. Department of Education, 2009). More recently, the Every Student Succeeds Act (ESSA, 2015) stipulated that teacher evaluation systems should include multiple measures of teacher effectiveness that inform instructional planning and professional growth opportunities, underscoring the value of accumulating convergent and predictive psychometric evidence for various measures of instructional quality. Despite increased national attention, consensus about how to best measure teacher effectiveness has yet to be established