Can Flexible Non-Linear Modeling Tell Us Anything New about Educational Productivity?.

Baker, Bruce D.

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Peer reviewed

ERIC Number: EJ622982

Record Type: CIJE

Publication Date: 2001

Pages: N/A

Abstractor: N/A

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ISSN: ISSN-0272-7757

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Can Flexible Non-Linear Modeling Tell Us Anything New about Educational Productivity?

Baker, Bruce D.

Economics of Education Review, v20 n1 p81-90 Feb 2001

Explores whether flexible nonlinear models (including neural networks and genetic algorithms) can reveal otherwise unexpected patterns of relationship in typical school-productivity data. Applying three types of algorithms alongside regression modeling to school-level data in 183 elementary schools proves the hypothesis and reveals new directions for parameter selection. (Contains 31 references.) (MLH)

Descriptors: Algorithms, Elementary Education, Evaluation Methods, Mathematical Models, Measurement Techniques, Productivity, Regression (Statistics)

Publication Type: Journal Articles; Numerical/Quantitative Data; Reports - Research

Education Level: N/A

Audience: N/A

Language: English

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