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Jahnke, Maximilian; Höppner, Frank – International Educational Data Mining Society, 2022
The value of an instructor is that she exactly recognizes what the learner is struggling with and provides constructive feedback straight to the point. This work aims at a step towards this type of feedback in the context of an introductory programming course, where students perform program execution tracing to align their understanding of Java…
Descriptors: Programming, Coding, Computer Science Education, Error Patterns
Mirazchiysi, Plamen Vladkov – Athens Journal of Education, 2019
This article is a response to an article written by Wang and Ma "An Examination of Plausible Score Correlation from the Trend in Mathematics and Science Study", published in the Athens Journal of Education. The purpose of this paper is to address issues with Wang's and Ma's suggestion to use analysis method for correlating plausible…
Descriptors: Achievement Tests, International Assessment, Foreign Countries, Mathematics Achievement
Nguyen, Huy; Liew, Chun Wai – International Educational Data Mining Society, 2018
Recent works on Intelligent Tutoring Systems have focused on more complicated knowledge domains, which pose challenges in automated assessment of student performance. In particular, while the system can log every user action and keep track of the student's solution state, it is unable to determine the hidden intermediate steps leading to such…
Descriptors: Bayesian Statistics, Intelligent Tutoring Systems, Data Analysis, Error Patterns
Yu, Chong Ho; Douglas, Samantha; Lee, Anna; An, Min – Practical Assessment, Research & Evaluation, 2016
This paper aims to illustrate how data visualization could be utilized to identify errors prior to modeling, using an example with multi-dimensional item response theory (MIRT). MIRT combines item response theory and factor analysis to identify a psychometric model that investigates two or more latent traits. While it may seem convenient to…
Descriptors: Visualization, Item Response Theory, Sample Size, Correlation
Brown, Neil C. C.; Altadmri, Amjad – ACM Transactions on Computing Education, 2017
Teaching is the process of conveying knowledge and skills to learners. It involves preventing misunderstandings or correcting misconceptions that learners have acquired. Thus, effective teaching relies on solid knowledge of the discipline, but also a good grasp of where learners are likely to trip up or misunderstand. In programming, there is much…
Descriptors: Novices, Programming Languages, Programming, Error Patterns
Bird, Kevin D. – Psychological Methods, 2011
Any set of confidence interval inferences on J - 1 linearly independent contrasts on J means, such as the two comparisons [mu][subscript 1] - [mu][subscript 2] and [mu][subscript 2] - [mu][subscript 3] on 3 means, provides a basis for the deduction of interval inferences on all other contrasts, such as the redundant comparison [mu][subscript 1] -…
Descriptors: Intervals, Statistical Analysis, Inferences, Comparative Analysis
Vallejo, G.; Fernandez, M. P.; Livacic-Rojas, P. E.; Tuero-Herrero, E. – Multivariate Behavioral Research, 2011
Missing data are a pervasive problem in many psychological applications in the real world. In this article we study the impact of dropout on the operational characteristics of several approaches that can be easily implemented with commercially available software. These approaches include the covariance pattern model based on an unstructured…
Descriptors: Personality Problems, Psychosis, Prevention, Patients
Casey, Sean D. – Behavior Analyst Today, 2008
The effectiveness of within-session and across-session variations of a progressive time delay procedure for teaching sight words was evaluated for five participants with cognitive delays. Participants were exposed to five target stimuli using two variations of progressive time delay procedures in an alternating treatments design, followed by the…
Descriptors: Stimuli, Mental Retardation, Sight Vocabulary, Instructional Effectiveness
Love, Gloria C. – 1988
The probability of experiment-wise error is explored. Overall, the experiment-wise error rate is directly related to the test-wise error rate--the alpha level set by researchers to curtail the existence of a Type I error. A Type I error occurs when a true null hypothesis is rejected in a given study or experiment. The experiment-wise error rate is…
Descriptors: Data Analysis, Error Patterns, Estimation (Mathematics), Experiments

Dunkin, Michael J. – Review of Educational Research, 1996
Nine types of errors occurring in the process of synthesizing research are described, with examples from a recent synthesis of research on teacher professional growth. Types of errors include excluding relevant literature, wrongly reporting details such as sample size, erroneously attributing findings to studies, and stating unwarranted…
Descriptors: Data Analysis, Data Collection, Educational Research, Error Patterns
Patz, Richard J.; Wilson, Mark; Hoskens, Machteld – 1997
The National Assessment of Educational Progress (NAEP) collects data in the form of repeated, discrete measures (test items) with hierarchical structure for both measures and subjects, that is complex by any standard. This complexity has been managed through a "divide and conquer" approach of isolating and evaluating sources of…
Descriptors: Data Analysis, Data Collection, Elementary Secondary Education, Error Patterns
Hawaii State Dept. of Education, Honolulu. Office of Instructional Services. – 1985
This report was designed to provide information on the effectiveness of the high school mathematics program in Hawaii, including identification of deficiency areas. The Stanford Achievement Test of Academic Skills (TASK) Level 1 was administered to 10,154 tenth-grade students in October 1983. In general, the students did not perform as well as the…
Descriptors: Academic Achievement, Data Analysis, Educational Assessment, Error Patterns
Program Analysis of Grade 2 Stanford Achievement Test, Primary Level II. Spring 1984 Administration.
Hawaii State Dept. of Education, Honolulu. Office of Instructional Services. – 1985
This report was designed to provide information on the effectiveness of the mathematics instructional program in grade 2 in Hawaii, including identification of deficiency areas. The Stanford Achievement Test, Primary Level II, was administered in May 1984 to 12,106 students in grade 2. In general, these students performed better than the national…
Descriptors: Academic Achievement, Data Analysis, Educational Assessment, Elementary School Mathematics
Croninger, Robert G.; Douglas, Karen M. – New Directions for Institutional Research, 2005
Many do not consider the effect that missing data have on their survey results nor do they know how to handle missing data. This chapter offers strategies for handling item-missing data and provides a practical example of how these strategies may affect results. The chapter concludes with recommendations for preventing and dealing with missing…
Descriptors: Institutional Research, Research Methodology, Surveys, Error of Measurement