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Lehan, Tara; Hussey, Heather; Mika, Eva – Journal of University Teaching and Learning Practice, 2016
Throughout the dissertation process, the chair and committee members provide feedback regarding quality to help the doctoral candidate to produce the highest-quality document and become an independent scholar. Nevertheless, results of previous research suggest that overall dissertation quality generally is poor. Because much of the feedback about…
Descriptors: Graduate Students, Doctoral Dissertations, Student Evaluation, Feedback (Response)
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Liang, Tie; Wells, Craig S.; Hambleton, Ronald K. – Journal of Educational Measurement, 2014
As item response theory has been more widely applied, investigating the fit of a parametric model becomes an important part of the measurement process. There is a lack of promising solutions to the detection of model misfit in IRT. Douglas and Cohen introduced a general nonparametric approach, RISE (Root Integrated Squared Error), for detecting…
Descriptors: Item Response Theory, Measurement Techniques, Nonparametric Statistics, Models
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Becker, Brett A.; Glanville, Graham; Iwashima, Ricardo; McDonnell, Claire; Goslin, Kyle; Mooney, Catherine – Computer Science Education, 2016
Programming is an essential skill that many computing students are expected to master. However, programming can be difficult to learn. Successfully interpreting compiler error messages (CEMs) is crucial for correcting errors and progressing toward success in programming. Yet these messages are often difficult to understand and pose a barrier to…
Descriptors: Computer Science Education, Programming, Novices, Error Patterns
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Charalambous, Charalambos Y. – Journal of Teacher Education, 2016
Central in the frameworks proposed to capture the knowledge needed for teaching mathematics is the assumption that teachers need more than pure subject-matter knowledge. Validation studies exploring this assumption by recruiting contrasting populations are relatively scarce. Drawing on a sample of 644 Greek-Cypriots preservice and inservice…
Descriptors: Knowledge Base for Teaching, Foreign Countries, Knowledge Level, Preservice Teachers
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Durrleman, Stephanie; Delage, Hélène – Language Acquisition: A Journal of Developmental Linguistics, 2016
This study investigates syntax in Autism Spectrum Disorders (ASD), its parallelism with Specific Language Impairment (SLI) and its relation to other aspects of cognition. We focus on (1) 3rd person accusative clitic (ACC3) production, a clinical marker of SLI hypothesized to relate to WM, and (2) 1st person accusative clitic (ACC1) production,…
Descriptors: Syntax, Autism, Pervasive Developmental Disorders, Language Impairments
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Roebuck, Hettie; Freigang, Claudia; Barry, Johanna G. – Journal of Speech, Language, and Hearing Research, 2016
Purpose: Continuous performance tasks (CPTs) are used to measure individual differences in sustained attention. Many different stimuli have been used as response targets without consideration of their impact on task performance. Here, we compared CPT performance in typically developing adults and children to assess the role of stimulus processing…
Descriptors: Individual Differences, Task Analysis, Adults, Children
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Sumner, Emma; Connelly, Vincent; Barnett, Anna L. – Journal of Learning Disabilities, 2016
Spelling is a prerequisite to expressing vocabulary in writing. Research has shown that children with dyslexia are hesitant spellers when composing. This study aimed to determine whether the hesitant spelling of children with dyslexia, evidenced by frequent pausing, affects vocabulary choices when writing. A total of 31 children with dyslexia,…
Descriptors: Foreign Countries, Spelling, Spelling Instruction, Vocabulary Development
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Joost C. F. de Winter; Dimitra Dodou – Practical Assessment, Research & Evaluation, 2010
Likert questionnaires are widely used in survey research, but it is unclear whether the item data should be investigated by means of parametric or nonparametric procedures. This study compared the Type I and II error rates of the "t" test versus the Mann-Whitney-Wilcoxon (MWW) for five-point Likert items. Fourteen population…
Descriptors: Evaluation Methods, Questionnaires, Likert Scales, Statistical Analysis
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Cohen, Jon; Chan, Tsze; Jiang, Tao; Seburn, Mary – Applied Psychological Measurement, 2008
U.S. state educational testing programs administer tests to track student progress and hold schools accountable for educational outcomes. Methods from item response theory, especially Rasch models, are usually used to equate different forms of a test. The most popular method for estimating Rasch models yields inconsistent estimates and relies on…
Descriptors: Testing Programs, Educational Testing, Item Response Theory, Computation
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Wells, Craig S.; Bolt, Daniel M. – Applied Measurement in Education, 2008
Tests of model misfit are often performed to validate the use of a particular model in item response theory. Douglas and Cohen (2001) introduced a general nonparametric approach for detecting misfit under the two-parameter logistic model. However, the statistical properties of their approach, and empirical comparisons to other methods, have not…
Descriptors: Test Length, Test Items, Monte Carlo Methods, Nonparametric Statistics
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Zimmerman, Donald W. – Psicologica: International Journal of Methodology and Experimental Psychology, 2004
It is well known that the two-sample Student t test fails to maintain its significance level when the variances of treatment groups are unequal, and, at the same time, sample sizes are unequal. However, introductory textbooks in psychology and education often maintain that the test is robust to variance heterogeneity when sample sizes are equal.…
Descriptors: Sample Size, Nonparametric Statistics, Probability, Statistical Analysis
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Serlin, Ronald C.; Harwell, Michael R. – Psychological Methods, 2004
It is well-known that for normally distributed errors parametric tests are optimal statistically, but perhaps less well-known is that when normality does not hold, nonparametric tests frequently possess greater statistical power than parametric tests, while controlling Type I error rate. However, the use of nonparametric procedures has been…
Descriptors: Multiple Regression Analysis, Monte Carlo Methods, Nonparametric Statistics, Error Patterns