NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Gomes, Hugo S.; Farrington, David P.; Krohn, Marvin D.; Maia, Ângela – International Journal of Social Research Methodology, 2023
Although research on sensitive topics has produced a large body of knowledge on how to improve the quality of self-reported data, little is known regarding the sensitivity of offending questions, and much less is known regarding how topic sensitivity is affected by recall periods. In this study, we developed a multi-dimensional assessment of item…
Descriptors: Self Disclosure (Individuals), Error of Measurement, Recall (Psychology), Crime
Lord, Frederic M. – 1983
If a loss function is available specifying the social cost of an error of measurement in the score on a unidimensional test, an asymptotic method, based on item response theory, is developed for optimal test design for a specified target population of examinees. Since in the real world such loss functions are not available, it is more useful to…
Descriptors: Cutting Scores, Decision Making, Error of Measurement, Estimation (Mathematics)
Rothman, M. L.; And Others – 1982
A practical application of generalizability theory, demonstrating how the variance components contribute to understanding and interpreting the data collected to evaluate a program, is described. The evaluation concerned 120 learning modules developed for the Dental Auxiliary Education Project. The goals of the project were to design, implement,…
Descriptors: Correlation, Data Collection, Dental Schools, Educational Research
Carlson, James E.; Spray, Judith A. – 1986
This paper discussed methods currently under study for use with multiple-response data. Besides using Bonferroni inequality methods to control type one error rate over a set of inferences involving multiple response data, a recently proposed methodology of plotting the p-values resulting from multiple significance tests was explored. Proficiency…
Descriptors: Cutting Scores, Data Analysis, Difficulty Level, Error of Measurement