Critical Factors in Applying the Value-Added Model A Monte Carlo Study /

Critical Factors in Applying the Value-Added Model [microform] : A Monte Carlo Study / Carole L. Perlman.

The value-added model is presented as a method of assessing the impact of treatments in pretest-posttest quasi-experimental designs. The model yields a projection of treatment group performance at posttest time with no special treatment. The difference between the expected result and the actual outc...

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Bibliographic Details
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Main Author: Perlman, Carole L.
Format: Microfilm Book
Language:English
Published: [S.l.] : Distributed by ERIC Clearinghouse, 1982.
Subjects:
Achievement Gains.
Age Differences.
Early Childhood Education.
Evaluation Methods.
Mathematical Models.
Measures (Individuals)
Monte Carlo Methods.
Performance Factors.
Predictive Validity.
Predictor Variables.
Pretests Posttests.
Program Evaluation.
Reliability.
Statistical Analysis.

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