Using International Survey Data to Explore Academic Outcomes in Different Countries

• In Event: Marriott Roundtable Session 30

Session Type: Roundtable Session

Abstract

The three papers in this roundtable use data from the Program for International Science Assessment (PISA) and the Program for the International Assessment of Adult Competencies (PIAAC) surveys to explore academic outcomes in different countries. The papers use a variety of analytic techniques including structural equation modeling, multilevel modeling with plausible values, and multiple linear regression to explore such topics as science learning models; relationships between personal and workplace characteristics and adult literacy skills; and relationships between literacy practices and adult skills in literacy, numeracy, and problem-solving.

Sub Unit

• SIG-Advanced Studies of National Databases

Chair

• Sara Bano, Michigan State University

Papers

• A Comparison Analysis of Science Learning Models Among the United States, Canada, Finland, and Korea - Ahlam Lee, Xavier University

• The Relationship Between Literacy Skills and Immigrant Characteristic Variables: A U.S. Examination - David A. Walker, Northern Illinois University; Thomas J. Smith, Northern Illinois University; M Cecil Smith, West Virginia University

• Adults' Skill Practices: An International Study of Individual and Contextual Predictors of Skill Proficiency - M Cecil Smith, West Virginia University; Thomas J. Smith, Northern Illinois University; David A. Walker, Northern Illinois University