A Comparative Study of the Angoff and Nedelsky Methods: Implications for Validity

The Angoff and Nedelsky methods are two well-known procedures for setting passing scores on tests. Previous comparative studies indicate that the Nedelsky method tends to consistently set the lowest passing score relative to the Angoff and other methods. However, it cannot be concluded that the lower Nedelsky estimates are less accurate, because previous studies have not included a criterion of the correct passing score against which Nedelsky and other passing scores could be validated. The present paper describes an experiment in which criterion measures of the correct passing scores were generated and were compared for accuracy to Angoff and Nedelsky estimates

Planning an experiment in the company of measurement error

"Textbook" calculations of statistical power and/or sample size follow from formulas that assume that the variables under consideration are measured without error. However, in the "real world" of behavioral research, errors of measurement cannot be neglected. A recent sample-size determination approach is easily adapted to incorporate unreliability information for both completely randomized and randomized block analysis-of-variance designs. A worked example presents an instance wherein a blocking strategy is clearly advantageous assuming infallible measuring instruments, but not when the same instruments are granted fallibility

Correcting "Planning an experiment in the company of measurement error"

Comments on our earlier article are acknowledged and appreciated. In addition, potentially misleading notions arising from these comments are addressed and clarified.Levin, Joel R.; Subkoviak, Michael J.. (1978). Correcting "Planning an experiment in the company of measurement error". Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/99406

Educational evaluation : analysis and responsibility /

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