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The Affordances and Limitations of Different Analytic Models for Data From Classroom Observation Systems
Mon, April 25, 2:30 to 4:00pm PDT (2:30 to 4:00pm PDT), Manchester Grand Hyatt, Floor: 3rd Level, Harbor Tower, Hillcrest ABSession Type: Symposium
Abstract
Standardized classroom observation systems are an important tool in the direct observation of teaching. Recent research with observation systems has adopted a wide range of models that make drastically different assumptions about the nature of teaching quality, viewing teaching quality alternatively as a categorical or continuous construct. This research has generally worked to promote the usefulness of the chosen model with only modest attempts to explore the model dependency of conclusions. This symposium will bring researchers together to discuss across the different modeling approaches, exploring their limitations and affordances. In doing so, we hope to promote greater integration and discussion across research groups.
Sub Unit
Chair
Papers
Using Lesson and Teacher-Level Profiles to Analyze Instructional Quality - Rebekah Berlin, Deans for Impact; Julie Jackson Cohen, University of Virginia
Observing Teaching Behavior Using the ICALT Measure Across Countries: Is There Measurement Invariance? - Ridwan Maulana, University of Groningen; Xiangyuan Feng, University of Groningen; Michelle Helms-Lorenz, University of Groningen; James Ko, The Education University of Hong Kong; Seyeoung Chun, Chungnam National University; Shahzad Abid, The Islamia University of Bahawalpur; Yulia Irnidayanti, Universitas Negeri Jakarta; Okhwa Lee, Chungbuk National University; Thelma de Jager, Tshwane University of Technology; Thys Coetzee, Tshwane University of Technology; Nurul Fadhilah, Universitas Indonesia; Carmen-María Fernández-García, University of Oviedo; Mercedes Inda-Caro, University of Oviedo. Faculty of Teacher Training and Education; Alison A. Kington, University of Worcester; Ben Looker, University of Worcester; Kim Hibbert-Mayne; Karen Blackmore, University of Worcester; Amarjargal Adiyasuren, The University of Tokyo; Ulziisaikhan Galindev
Approximate Measurement Invariance Methods for Harmonizing Classroom Observation Scores Across Disparate Conditions - Benjamin Kelcey, University of Cincinnati; Kyle T. Cox, University of North Carolina - Charlotte; Fangxing Bai, University of Cincinnati
Bringing the Theory and Measurement Into Alignment: Classroom Observation Systems - Mark White, Univerity of Oslo; Jennifer Maria Luoto, University of Oslo; Kirsti Klette, University of Oslo