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cep900 11.09.11

cep900 11.09.11. Faculty visit. Dr. Spyros Konstantopoulos, Measurement and Quantitative Methods Assignments Discussion Public Intellectual 4. assignments. RDP: Individual meetings with David Appointment Schedule Google Docs, RDP meeting #2

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cep900 11.09.11

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  1. cep900 11.09.11 • Faculty visit. Dr. Spyros Konstantopoulos, Measurement and Quantitative Methods • Assignments • Discussion • Public Intellectual 4

  2. assignments RDP: Individual meetings with David • Appointment Schedule Google Docs, RDP meeting #2 • Bring a one page summary of your progress on the following: 15+ annotations 3+ meetings & notes Annotated glossary (20+ terms) Historical view of field Annotated publications, conferences, organizations The progress you made toward the goals we set in our first meeting. • During the meeting, we'll also talk about what's been interesting to you and what you might do to complete your RDP.

  3. assignments Article Critique: Bring a copy of your article critique and any notes you made. We will critique the article as a group. • Find focus • On writing…

  4. faculty visit Dr. Spyros Konstantopoulos, Measurement and Quantitative Methods

  5. public intellectual 3 30 second “sound bite” about the article you read…

  6. MQM: Measurement (Psychometrics) & QM Measurement • Ebel • Reckase (item construction, IRT, Multi-dimensional IRT) • large scale assessment, instrument development, surveys, • Reykov (structural equation modeling, • Roeber (assessment issues, item development)

  7. MQM Quantitative Research Methods • application of statistics in education and social science • Raudenbush (HLM, multi-level modeling) • Becker (meta-analysis) • Ken Frank (social network analysis, causal inferences) • Kim Maier (Bayesian methods, applied statistics) • Barbara Schneider (interventions w/ at-risk Ss) • Teacher effects research, value-added, • Floden • Konstantopoulos (school & teacher effects, nesting problem, research design, meta-analysis) • Schmidt (TIMSS, international studies, curricula)

  8. How can teacher effects not be causal • Bayesian – very trendy • How can evidence on class size be mixed? What do you tell policy makers? Is there any school/teacher characteristic that has a consistent effect on student achievement? • Do teachers affect student achievement (how did that become an important question?) • Rise of experimental design and school interventions • How does an economist think of school issues differently than an education person? (school level, prove causality, macro-level analysis, informs policymakers)

  9. Discussion

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