Use of the Logistic Model as an Alternative to Linear Interpolation for Computing Percentile Ranks.

Marco, Gary L.

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Peer reviewed

ERIC Number: EJ174751

Record Type: Journal

Publication Date: 1977

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Use of the Logistic Model as an Alternative to Linear Interpolation for Computing Percentile Ranks

Marco, Gary L.

Journal of Educational Measurement, 14, 3, 271-5, F 77

A method of computing percentile ranks from the logistic distribution function is described. The method was applied to three distributions of number-right scores from the Law School Admission Test, and compared to percentile ranks computed using linear interpolation. (Author/JKS)

Descriptors: Computation, Law Schools, Scores, Test Interpretation, Test Results

Publication Type: N/A

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Sponsor: N/A

Authoring Institution: N/A

Identifiers - Assessments and Surveys: Law School Admission Test

Grant or Contract Numbers: N/A