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Goldhaber, Dan; Krieg, John; Theobald, Roddy; Goggins, Marcelle – Journal of Teacher Education, 2022
We use a database of over 15,000 teacher candidates from 15 teacher education programs in Washington state to investigate the connections between specific teacher preparation experiences and the likelihood that these candidates enter and stay in the state's public teaching workforce. As has been found in prior research, candidates with…
Descriptors: Preservice Teacher Education, Student Teachers, Student Teaching, College Graduates
Backes, Ben; Goldhaber, Dan; Cade, Whitney; Sullivan, Kate; Dodson, Melissa – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2018
UTeach is a well-known, university-based program designed to increase the number of high-quality science, technology, engineering, and mathematics (STEM) teachers in the workforce. The UTeach program was originally developed by faculty at the University of Texas at Austin but has rapidly spread and is now available at 44 universities in 21 states;…
Descriptors: STEM Education, Science Teachers, Mathematics Teachers, Teacher Effectiveness
Goldhaber, Dan; Krieg, John; Theobald, Roddy; Goggins, Marcelle – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2020
We use a novel database of over 15,000 teacher candidates from 15 teacher education programs in Washington state to investigate the connections between specific teacher preparation experiences (e.g., endorsements, licensure test scores, and student teaching placements) and the likelihood that these candidates enter and leave the state's public…
Descriptors: Preservice Teacher Education, Beginning Teachers, Teacher Education Programs, Faculty Mobility
Goldhaber, Dan; Krieg, John; Theobald, Roddy – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2018
We use comprehensive data on student teaching placements from 14 teacher education programs (TEPs) in Washington State to explore the sorting of teacher candidates to the teachers who supervise their student teaching ("cooperating teachers" or CTs) and the schools in which student teaching occurs. All else equal, teachers with more…
Descriptors: Mentors, Student Placement, Student Teaching, Teacher Education Programs
Krieg, John; Goldhaber, Dan; Theobald, Roddy – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2018
We use comprehensive data on student teaching placements from 14 teacher education programs (TEPs) in Washington State to explore the sorting of teacher candidates to the teachers who supervise their student teaching ("cooperating teachers") and the schools in which student teaching occurs. We find that, all else equal, teachers with…
Descriptors: Preservice Teachers, Apprenticeships, Student Placement, Student Teaching
Goldhaber, Dan; Grout, Cyrus; Huntington-Klein, Nick – Grantee Submission, 2017
Despite their widespread use, there is little academic evidence on whether applicant selection instruments can improve teacher hiring. We examine the relationship between two screening instruments used by Spokane Public Schools to select classroom teachers, and three teacher outcomes: value added, absences, and attrition. We observe all applicants…
Descriptors: Predictive Validity, Admission (School), Public Schools, Selection Tools
Backes, Ben; Cowan, James; Goldhaber, Dan; Koedel, Cory; Miller, Luke C.; Xu, Zeyu – Grantee Submission, 2017
Policies that require the use of information about student achievement to evaluate teacher performance are becoming increasingly common across the United States, but there is some question as to how or whether to use student test-based teacher evaluations when student assessments change. We bring empirical evidence to bear on this issue.…
Descriptors: Common Core State Standards, Educational Change, Academic Achievement, Standardized Tests
Goldhaber, Dan; Theobald, Roddy – National Center for Analysis of Longitudinal Data in Education Research, 2010
Over 2000 teachers in the state of Washington received reduction-in-force (RIF) notices in the past two years. The authors link data on these RIF notices to a unique dataset that includes student, teacher, school, and district variables to determine the factors that predict the likelihood of a teacher receiving a RIF notice. They find a teacher's…
Descriptors: Teacher Effectiveness, Job Layoff, Teacher Competencies, Predictor Variables