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ERIC Number: ED440864
Record Type: RIE
Publication Date: 2000-Apr
Pages: 23
Abstractor: N/A
Reference Count: N/A
A Fixed Effects Panel Data Model: Mathematics Achievement in the U.S.
Sherron, Todd; Allen, Jeff; Shumacker, Randall E.
Statistical models that combine cross section and time series data offer analysis and interpretation advantages over separate cross section or time series data analyses (Matyas & Severstre, 1996). Data that embodies time series and cross section units have not been commonplace in the research community until the last 25 years (Tieslav, 1999). In this study, a fixed effects panel data model is applied to the National Education Longitudinal Study of 1988 data to determine if educational process variables, teacher emphasis, student self-concept and socioeconomic status can account for variance in student mathematical achievement. A model that includes seven independent variables accounted for 25 percent of the variance in student mathematical achievement test score. The primary objective of this study was not to explain mathematics achievement but provide educational researchers with a functional and viable model for panel data analyses. (Author/CCM)
Publication Type: Reports - Research; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Note: Paper presented at the Annual Meeting of the American Educational Research Association (New Orleans, LA, April 24-28, 2000).