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Session Submission Type: Symposium
In this session we explore multiple perspectives on how to construct and employ valid and reliable measures of student socioeconomic status (SES) in conducting educational research with large cross-national datasets like PIRLS, PISA, and TIMSS. Our objective is to describe and inform current research in this area. The session features both conceptual and empirical work and includes participants from diverse institutions in the United States and Europe. After a review and critique of recent research using cross-national data, we present two empirically oriented papers that seek to inform the measurement of student SES in TIMSS and PIRLS. The fourth and final paper engages with sociological theories that have contributed significantly to the conceptualization and measurement of home background in cross-national studies.
Measuring Student Socioeconomic Status in Large Cross-National Studies: A Review and Critique of the Literature - Thomas F. Luschei, Claremont Graduate University; Loris Fagioli, Claremont Graduate University; Amita Chudgar, Michigan State University
Constructing Socioeconomic Status Measures Using the Trends in International Mathematics and Science Study Data - Amita Chudgar, Michigan State University; Chad Lee, Michigan State University; Thomas F. Luschei, Claremont Graduate University; Loris Fagioli, Claremont Graduate University
Measuring Family Socioeconomic Status in PIRLS (Progress in International Reading Literacy Study) 2006 - Daniel H. Caro, IEA Data Processing and Research Center; Diego Cortés, IEA Data Processing and Research Center
A New Look at the Evaluation of Sociological Theories in International Large-Scale Educational Assessments - Daniel H. Caro, IEA Data Processing and Research Center; Andres Sandoval-Hernandez, International Association for the Evaluation of Educational Achievement