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| Error of Measurement | 2 |
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| Efficiency | 1 |
| Evaluation Methods | 1 |
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| New Directions for Program… | 2 |
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Peer reviewedReichardt, Charles; Gollob, Harry – New Directions for Program Evaluation, 1986
Causal models often omit variables that should be included, use variables that are measured fallibly, and ignore time lags. Such practices can lead to severely biased estimates of effects. The discussion explains these biases and shows how to take them into account. (Author)
Descriptors: Effect Size, Error of Measurement, High Schools, Mathematical Models
Peer reviewedSexton, Thomas R.; And Others – New Directions for Program Evaluation, 1986
Recent methodological advances are described that enable the analyst to extract additional information from the data envelopment analysis (DEA) methodology, including goal programming to develop cross-efficiencies, cluster analysis, analysis of variance, and pooled cross section time-series analysis. Some shortcomings of DEA are discussed. (LMO)
Descriptors: Efficiency, Error of Measurement, Evaluation Methods, Evaluation Problems
