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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
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
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
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