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Osborne, Jason W.; Waters, Elaine – 2002
This Digest presents a discussion of the assumptions of multiple regression that is tailored to the practicing researcher. The focus is on the assumptions of multiple regression that are not robust to violation, and that researchers can deal with if violated. Assumptions of normality, linearity, reliability of measurement, and homoscedasticity are…
Descriptors: Error of Measurement, Nonparametric Statistics, Regression (Statistics), Reliability
Rudner, Lawrence M. – 1992
Several common sources of error in assessment that depends on the use of judges are identified, and ways to reduce the impact of rating errors are examined. Numerous threats to the validity of scores based on ratings exist. These threats include: (1) the halo effect; (2) stereotyping; (3) perception differences; (4) leniency/stringency error; and…
Descriptors: Alternative Assessment, Error of Measurement, Evaluation Methods, Evaluators