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Sbeglia, Gena C.; Goodridge, Justin A.; Gordon, Lucy H.; Nehm, Ross H. – CBE - Life Sciences Education, 2021
Although recent studies have used the Classroom Observation Protocol for Undergraduate STEM (COPUS) to make claims about faculty reform, important questions remain: How should COPUS measures be situated within existing reform frameworks? Is there a universal sampling intensity that allows for valid inferences about the frequency of…
Descriptors: Student Centered Learning, Educational Change, Measures (Individuals), College Faculty
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Hochbein, Craig; Dever, Bridget V.; White, George; Mayger, Linda; Gallagher, Emily – Educational Management Administration & Leadership, 2018
Among the multitude of studies that have examined an array of variables related to school leadership, only a small percentage have rigorously examined how school leaders spend their time. The complex role of school leaders poses challenges to common methods of collecting data about school leader time use, which subsequently threaten the validity…
Descriptors: Pilot Projects, Technological Advancement, Sampling, Administrator Attitudes
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Barratt, Monica J.; Ferris, Jason A.; Lenton, Simon – Field Methods, 2015
Online purposive samples have unknown biases and may not strictly be used to make inferences about wider populations, yet such inferences continue to occur. We compared the demographic and drug use characteristics of Australian ecstasy users from a probability (National Drug Strategy Household Survey, n = 726) and purposive sample (online survey…
Descriptors: Sampling, Validity, Drug Abuse, Probability
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Brett, Zoe H.; Sheridan, Margaret; Humphreys, Kate; Smyke, Anna; Gleason, Mary Margaret; Fox, Nathan; Zeanah, Charles; Nelson, Charles; Drury, Stacy – International Journal of Behavioral Development, 2015
An individual's neurodevelopmental and cognitive sequelae to negative early experiences may, in part, be explained by genetic susceptibility. We examined whether extreme differences in the early caregiving environment, defined as exposure to severe psychosocial deprivation associated with institutional care compared to normative rearing,…
Descriptors: Genetics, Institutionalized Persons, Residential Care, Cognitive Processes
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Kane, Michael T. – Journal of Educational Measurement, 2013
To validate an interpretation or use of test scores is to evaluate the plausibility of the claims based on the scores. An argument-based approach to validation suggests that the claims based on the test scores be outlined as an argument that specifies the inferences and supporting assumptions needed to get from test responses to score-based…
Descriptors: Test Interpretation, Validity, Scores, Test Use
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Duong, Minh Q.; von Davier, Alina A. – International Journal of Testing, 2012
Test equating is a statistical procedure for adjusting for test form differences in difficulty in a standardized assessment. Equating results are supposed to hold for a specified target population (Kolen & Brennan, 2004; von Davier, Holland, & Thayer, 2004) and to be (relatively) independent of the subpopulations from the target population (see…
Descriptors: Ability Grouping, Difficulty Level, Psychometrics, Statistical Analysis
Horn, Catherine; Dworkin, Gary – National Education Policy Center, 2011
The report, Yearning to Break Free: Ohio Superintendents Speak Out, describes findings of a survey of 246 Ohio school superintendents about critical issues facing the state's educational system. In particular, the intent of the study was to examine how superintendents might do more with fewer resources. The authors conclude that Ohio districts…
Descriptors: Evidence, Sampling, Superintendents, Administrator Attitudes
Sandler, Andrew B. – 1987
Statistical significance is misused in educational and psychological research when it is applied as a method to establish the reliability of research results. Other techniques have been developed which can be correctly utilized to establish the generalizability of findings. Methods that do provide such estimates are known as invariance or…
Descriptors: Analysis of Covariance, Analysis of Variance, Correlation, Discriminant Analysis