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Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Paul De Boeck – Grantee Submission, 2024
Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…
Descriptors: Item Response Theory, Test Items, Models, Maximum Likelihood Statistics
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Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Paul De Boeck – Journal of Educational Measurement, 2024
Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…
Descriptors: Item Response Theory, Test Items, Models, Maximum Likelihood Statistics
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Baur, Armin – International Journal of Science Education, 2023
Student problems (preconceptions, errors, and learner-specific approaches) that arise when planning and conducting experiments are relevant for lesson planning and the further development of teaching practice overall. student problems are understood as a learning opportunity. So far, little attention has been paid to the relationships between…
Descriptors: Science Education, Science Experiments, Inquiry, Misconceptions
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Dhami, Mandeep K.; Belton, Ian K.; Mandel, David R. – Applied Cognitive Psychology, 2019
The intelligence community uses "structured analytic techniques" to help analysts think critically and avoid cognitive bias. However, little evidence exists of how techniques are applied and whether they are effective. We examined the use of the analysis of competing hypotheses (ACH)--a technique designed to reduce "confirmation…
Descriptors: Intelligence, Hypothesis Testing, Bias, Cognitive Processes
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Yang, Shitao; Black, Ken – Teaching Statistics: An International Journal for Teachers, 2019
Summary Employing a Wald confidence interval to test hypotheses about population proportions could lead to an increase in Type I or Type II errors unless the hypothesized value, p0, is used in computing its standard error rather than the sample proportion. Whereas the Wald confidence interval to estimate a population proportion uses the sample…
Descriptors: Error Patterns, Evaluation Methods, Error of Measurement, Measurement Techniques
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Westerberg, Carmen E.; Hawkins, Christopher A.; Rendon, Lauren – Learning & Memory, 2018
Reality-monitoring errors occur when internally generated thoughts are remembered as external occurrences. We hypothesized that sleep-dependent memory consolidation could reduce them by strengthening connections between items and their contexts during an afternoon nap. Participants viewed words and imagined their referents. Pictures of the…
Descriptors: Sleep, Memory, Hypothesis Testing, Visual Stimuli
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Tacoma, Sietske; Heeren, Bastiaan; Jeuring, Johan; Drijvers, Paul – International Journal of Artificial Intelligence in Education, 2020
Hypothesis testing involves a complex stepwise procedure that is challenging for many students in introductory university statistics courses. In this paper we assess how feedback from an Intelligent Tutoring System can address the logic of hypothesis testing and whether such feedback contributes to first-year social sciences students' proficiency…
Descriptors: Hypothesis Testing, Feedback (Response), Intelligent Tutoring Systems, Introductory Courses
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Weil, Lisa Wisman; Leonard, Laurence B. – Journal of Child Language, 2017
This study employed a paired priming paradigm to ask whether input features influence a child's propensity to use non-nominative versus nominative case in subject position, and to use non-nominative forms even when verbs are marked for agreement. Thirty English-speaking children (ages 2;6 to 3;7) heard sentences with pronouns that had…
Descriptors: Priming, Language Usage, Verbs, Young Children
Metcalfe, Janet; Xu, Judy – Grantee Submission, 2017
Three experiments investigated the effects of making errors oneself, as compared to just hearing the correct answer without error generation, hearing another person make an error, or being "on-the-hook," that is, possibly but not necessarily being the person who would be "called-on" to give a response. In all three experiments,…
Descriptors: Error Patterns, Comparative Analysis, Responses, Recall (Psychology)
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Porter, Kristin E. – Society for Research on Educational Effectiveness, 2016
In recent years, there has been increasing focus on the issue of multiple hypotheses testing in education evaluation studies. In these studies, researchers are typically interested in testing the effectiveness of an intervention on multiple outcomes, for multiple subgroups, at multiple points in time or across multiple treatment groups. When…
Descriptors: Hypothesis Testing, Intervention, Error Patterns, Evaluation Methods
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Mitchell-Williams, Missy T.; Skipper, Antonius D.; Alexander, Marvin C.; Wilks, Scott E. – Research on Social Work Practice, 2017
Purpose: Following up an "Research on Social Work Practice" article published a decade ago, this study aimed to examine reference error rates among five, widely circulated social work journals. Methods: A stratified random sample of references was selected from the year 2013 (N = 500, 100/journal). Each was verified against the original…
Descriptors: Accuracy, Social Work, Followup Studies, Error Patterns
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Matos, Marta Vacas – Research-publishing.net, 2018
Most of the more serious mistakes we make in our second or third languages are not linked to grammar, but to pragmatics (Félix-Brasdefer, 2008; Kasper & Rose, 1999; Olshtain & Blum-Kulka, 1985; Rose & Kasper, 2001). While language textbooks are often focused on grammar content distributed throughout a communicative syllabus (Lázaro…
Descriptors: Second Language Learning, Spanish, Error Patterns, Pragmatics
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Braithwaite, David W.; Pyke, Aryn A.; Siegler, Robert S. – Grantee Submission, 2017
Many children fail to master fraction arithmetic even after years of instruction, a failure that hinders their learning of more advanced mathematics as well as their occupational success. To test hypotheses about why children have so many difficulties in this area, we created a computational model of fraction arithmetic learning and presented it…
Descriptors: Arithmetic, Computation, Models, Mathematics Instruction
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Wainscott, Heidi – Physics Teacher, 2016
When grading students' quizzes and exams, I find that students are seemingly always changing their answers from the right answer to the wrong answer. In fact, I have cautioned students against changing their answer. Colleagues have made similar observations and some books on test-taking strategies advise against answer-changing. In an effort to…
Descriptors: Physics, Science Tests, Student Evaluation, Grading
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Leighton, Jacqueline P.; Tang, Wei; Guo, Qi – Assessment & Evaluation in Higher Education, 2018
The objective of the present study was to better understand a relatively under-researched topic, namely, undergraduate students' attitudes towards mistakes and how their attitudes relate to academic achievement. A series of online surveys were administered to a sample of 207 first- and second-year undergraduate students. Using structural…
Descriptors: Undergraduate Students, Student Attitudes, Error Patterns, Academic Achievement
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