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Adrian Adams; Lauren Barth-Cohen – CBE - Life Sciences Education, 2024
In undergraduate research settings, students are likely to encounter anomalous data, that is, data that do not meet their expectations. Most of the research that directly or indirectly captures the role of anomalous data in research settings uses post-hoc reflective interviews or surveys. These data collection approaches focus on recall of past…
Descriptors: Undergraduate Students, Physics, Science Instruction, Laboratory Experiments
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Mrazik, Martin; Janzen, Troy M.; Dombrowski, Stefan C.; Barford, Sean W.; Krawchuk, Lindsey L. – Canadian Journal of School Psychology, 2012
A total of 19 graduate students enrolled in a graduate course conducted 6 consecutive administrations of the Wechsler Intelligence Scale for Children, 4th edition (WISC-IV, Canadian version). Test protocols were examined to obtain data describing the frequency of examiner errors, including administration and scoring errors. Results identified 511…
Descriptors: Intelligence Tests, Intelligence, Statistical Analysis, Scoring
Kolstad, Andrew – 1990
Use of clustering methods with data from the 1987 High School Transcript (HST) component of the 1986 National Assessment of Educational Progress (NAEP) is discussed in an attempt to persuade data analysts and researchers that they should be interested in problems traditionally turned over to samplers. Nearly all surveys used by the National Center…
Descriptors: Cluster Analysis, Educational Assessment, Error of Measurement, Estimation (Mathematics)
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Cohen, Patricia – Evaluation and Program Planning: An International Journal, 1982
The various costs of Type I and Type II errors of inference from data are discussed. Six methods for minimizing each error type are presented, which may be employed even after data collection for Type I and which minimizes Type II errors by a study design and analytical means combination. (Author/CM)
Descriptors: Analysis of Variance, Data Analysis, Data Collection, Error of Measurement
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Meyer, Kevin D.; Foster, Jeff L. – International Journal of Testing, 2008
With the increasing globalization of human resources practices, a commensurate increase in demand has occurred for multi-language ("global") personality norms for use in selection and development efforts. The combination of data from multiple translations of a personality assessment into a single norm engenders error from multiple sources. This…
Descriptors: Global Approach, Cultural Differences, Norms, Human Resources
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)
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Lei, Pui-Wa; Koehly, Laura M. – Journal of Experimental Education, 2003
Classification studies are important for practitioners who need to identify individuals for specialized treatment or intervention. When interventions are irreversible or misclassifications are costly, information about the proficiency of different classification procedures becomes invaluable. This study furnishes information about the relative…
Descriptors: Monte Carlo Methods, Classification, Discriminant Analysis, Regression (Statistics)
Spencer, Bruce D. – 1986
The National Assessment of Educational Progress (NAEP) currently tests seventeen-year-old students enrolled in public and private secondary schools, but it does not test "out-of-school" seventeen-year-olds who have either graduated or dropped out. Estimating that one of five seventeen-year-olds is out of school, the interpretability of…
Descriptors: Adolescents, Cohort Analysis, Dropouts, Educational Assessment