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Erin Michelle Buchanan

Researcher at Harrisburg University of Science and Technology

Publications -  95
Citations -  1884

Erin Michelle Buchanan is an academic researcher from Harrisburg University of Science and Technology. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 19, co-authored 73 publications receiving 1326 citations. Previous affiliations of Erin Michelle Buchanan include Missouri State University & University of Cape Town.

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Author Correction: A multi-country test of brief reappraisal interventions on emotions during the COVID-19 pandemic

Ke-Hui Wang, +458 more
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Daily changes in state emotion regulation abilities predict positive and negative affect

TL;DR: This article examined the role of state emotion regulation abilities in predicting positive and negative affect using a daily diary design (2812 daily surveys) and found that participants differed in within-individual variability for each domain of perceived state ER, and within-and between-individual fluctuations in perceived ER abilities predicted positive or negative affect.
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Data from an International Multi-Centre Study of Statistics and Mathematics Anxieties and Related Variables in University Students (the SMARVUS Dataset)

Jennifer Terry, +147 more
TL;DR: The authors collected survey responses from 12,570 students from 100 universities in 35 countries, collected in 21 languages, and measured anxieties (statistics, mathematics, test, trait, social interaction, performance, creativity, intolerance of uncertainty, and fear of negative evaluation), selfefficacy, persistence and the cognitive reflection test, and collected demographics, previous mathematics grades, self-reported and official statistics grades, and statistics module details.

Perceived Grading and Student Evaluation of Instruction

TL;DR: This article analyzed student evaluations for 3,585 classes collected over 20 years to determine stability and evaluate the relationship of perceived grading to global evaluations, perceived fairness, and appropriateness of assignments.