Estimating Measurement Error on Highly Speeded Tests

Reliability of Speeded Number-right Multiple-choice Tests Reliability of Speeded Number-right Multiple-choice Tests

Contrary to common belief, reliability estimates of number-right multiple-choice tests are not inflated by speededness. Because examinees guess on questions when they run out of time, the responses to these questions show less consistency with the responses of other questions, and the reliability of the test will be decreased. The surprising implication is that adding questions to a multiple-ch...

On Presentation a new Estimator for Estimating of Population Mean in the Presence of Measurement error and non-Response

Introduction According to the classic sampling theory, errors that are mainly considered in the estimations are sampling errors.  However, most non-sampling errors are more effective than sampling errors in properties of estimators. This has been confirmed by researchers over the past two decades, especially in relation to non-response errors that are one of the most fundamental non-immolation...

Estimating the slope in measurement error models—a different perspective

Motivated by a statistical model for the structural line segment relationship developed for computer vision applications we derive an estimator for the slope of a regression line in univariate measurement error models. We show that under the typical side conditions, this estimator coincides, in most cases, with the maximum likelihood estimator for the normal structural model. Its large sample p...

The Invariance of Score Tests to Measurement Error

The linear measurement error model is an alternative to the classical regression model, in which we assume that the independent variables are subject to error. This assumption can cause statistical inferences and parameter estimators to di er dramatically from those obtained from the classical regression model. However, inferences may remain unchanged even though the independent variables are a...

Score Tests in Generalized Linear Measurement Error Models