Search
On-Site Program Calendar
Browse By Day
Browse By Time
Browse By Person
Browse By Room
Browse By Unit
Browse By Session Type
About AERA 2023 Annual Meeting
Program Information
Key Dates / FAQ
Search Tips
Change Preferences / Time Zone
Sign In
Session Type: Virtual Roundtable Session
This roundtable session explores methodological issues in diverse types of data collection and analysis. Two of the paper investigate issues around the collection of data in educational settings: 1) methodological issues inherent in using web-based online questionnaires and 2) compares the use of students with child actors when gathering data from teachers in classrooms. The final paper pr provide a procedure for maximizing coefficient α and minimizing its standard error among all possible subsets of items in a survey.
Digital Treasure Trove: Incorporating Online Surveys for Data Collection - Dino Sossi, NYU, CUNY, Teachers College, Columbia University
Using Child Actors in Educational Research: Teachers' Ability to Distinguish Authentic Responses From Actors' Responses - Melissa A. Gallagher, University of Houston; Morgan Love Michelle, University of Houston; Shaimaa A. Scrivner, University of Houston
Simultaneously Maximizing Coefficient Alpha and Minimizing Its Standard Error - Mary G. Lieberman, Florida Atlantic University; John D. Morris, Florida Atlantic University; Maria D. Vásquez-Colina, Florida Atlantic University