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Dan Goldhaber; John Krieg; Roddy Theobald – Center for Education Data & Research, 2016
We use data from six Washington State teacher education programs to investigate the relationship between teacher candidates' student teaching experiences and their later teaching effectiveness and probability of attrition. We find that teachers who student taught in schools with lower teacher turnover are less likely to leave the state's teaching…
Descriptors: Student Teaching, Student Teachers, Teacher Effectiveness, Faculty Mobility
Kern, Ben D.; Graber, Kim C. – Measurement in Physical Education and Exercise Science, 2017
Program satisfaction, self-efficacy to change, and willingness to change, are dispositions that influence physical education teacher change. The study purpose was to validate an instrument measuring program satisfaction, self-efficacy to change, and willingness to change relative to teachers' likelihood to change. A 15-item Teacher Change…
Descriptors: Physical Education Teachers, Test Validity, Questionnaires, Self Efficacy
Goldhaber, Dan; Long, Mark C.; Person, Ann E.; Rooklyn, Jordan – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2017
We investigate factors influencing student sign-ups for Washington State's College Bound Scholarship (CBS) program. We find a substantial share of eligible middle school students fail to sign the CBS, forgoing college financial aid. Student characteristics associated with signing the scholarship parallel characteristics of low-income students who…
Descriptors: Predictor Variables, Middle School Students, College Preparation, Mixed Methods Research
Goldhaber, Dan; Cowan, James; Long, Mark; Huntington-Klein, Nick – Center for Education Data & Research, 2015
Students are typically given a large amount of freedom to choose the level of "curricular dispersion": the tight focus or lack thereof in the courses they elect to take while in college. There is little evidence about what predicts students' curricular dispersion, whether it affects later college or labor force outcomes, or, in fact, how…
Descriptors: Course Selection (Students), College Students, Predictor Variables, Correlation
Dan Goldhaber; John Krieg; Roddy Theobald – Grantee Submission, 2014
We use a unique longitudinal sample of student teachers ("interns") from six Washington state teacher training institutions to investigate patterns of entry into the teaching workforce. We estimate split population models that simultaneously estimate the impact of individual characteristics and student teaching experiences on the timing…
Descriptors: Preservice Teachers, Labor Force, Student Teaching, Preservice Teacher Education
Goldhaber, Dan; Theobald, Roddy – Education Finance and Policy, 2013
Over 2,000 teachers in the state of Washington received reduction in force (RIF) notices across the 2008-09 and 2009-10 school years. We link data on these RIF notices to an administrative data set that includes student, teacher, school, and district variables to determine the factors that predict the likelihood of a teacher receiving a RIF…
Descriptors: Job Layoff, Teachers, Prediction, Employment Level
McRee, Nick; Drapela, Laurie A. – Crime & Delinquency, 2012
Judicial sanctions are used by drug courts to encourage clients to comply with program requirements. However, few studies have explored the application of sanctions in drug courts or the relationship between sanctions and drug court graduation. This article reports the results of a study of sanctions as applied in a drug court in southwest…
Descriptors: Substance Abuse, Intervention, Graduates, Sanctions
Goldhaber, Dan; Theobald, Roddy – Center for Education Data & Research, 2011
Over 2,000 teachers in the state of Washington received reduction-in-force (RIF) notices across the 2008-09 and 2009-10 school years. We link data on these RIF notices to an administrative dataset that includes student, teacher, school, and district variables to determine the factors that predict the likelihood of a teacher receiving a RIF notice.…
Descriptors: Teaching (Occupation), Economic Climate, Structural Unemployment, Job Layoff