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M. David Miller

Researcher at University of Florida

Publications -  67
Citations -  5923

M. David Miller is an academic researcher from University of Florida. The author has contributed to research in topics: Item analysis & Item response theory. The author has an hindex of 32, co-authored 60 publications receiving 5443 citations.

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Role of self-efficacy and self-concept beliefs in mathematical problem solving: A path analysis.

TL;DR: This article found that self-efficacy was more predictive of problem solving than was math self-concept, perceived usefulness of mathematics, prior experience with mathematics, or gender (N = 350).
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Mathematics self-efficacy and mathematics performances: The need for specificity of assessment.

TL;DR: The authors found that students' confidence to solve the problems they were later asked to solve was a more powerful predictor of that performance than was either their confidence to perform math-related tasks or to succeed in mathematics-related courses.
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Gender differences in writing self-beliefs of elementary school students.

TL;DR: The authors investigated the nature of gender differences in the writing self-beliefs of elementary school students in Grades 3, 4, and 5 (N = 363) and found that girls were judged superior writers, but there were no gender difference in writing selfefficacy after controlling for writing aptitude.
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Factors That Predict Teachers Staying in, Leaving, or Transferring from the Special Education Classroom

TL;DR: For example, this paper found that teachers who transferred to a different school or district had perceptions of high stress and perceptions of poor school climate and were significantly younger than stayers, while those who left special education teaching primarily due to insufficient certification, perceptions of a high stress, and a perception of poor education climate.
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The Transition Readiness Assessment Questionnaire (TRAQ): its factor structure, reliability, and validity.

TL;DR: A 20-item, 5-factor structure for the TRAQ is supported by EFA and CFA on independent samples and has good internal reliability and criterion validity, and additional work is needed to expand or revise the TRAZ subscales and test their predictive validity.