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Kimberly Nicole Granderson – ProQuest LLC, 2021
The study's purpose was to determine the effectiveness of charter school programs in increasing academic achievement in students with disabilities who received special education services within one charter management organization. The study reviewed student achievement on a state standardized assessment in ELA and Mathematics. Relationships…
Descriptors: Charter Schools, Program Effectiveness, Academic Achievement, Achievement Gains
Frank Conic – ProQuest LLC, 2021
In May 2013, the governor of Florida signed into law Senate Bill 1720, which fundamentally changed how institutions of higher education manage remedial programs. Institutions seemed to be responding to the high demand for education by channeling large percentages of incoming first-year students to remedial classes based on assessment test scores,…
Descriptors: State Legislation, Educational Legislation, Remedial Programs, Higher Education
Shawn M. Roberts – ProQuest LLC, 2021
Adolescents across the United States, in general, do not get enough sleep. This is often the result of early school start times. When children reach adolescence, a biological change occurs, causing their circadian cycle to delay and resisting the build-up of homeostatic pressure. Consequently, adolescents have difficulties falling asleep earlier…
Descriptors: Adolescents, Sleep, School Schedules, Time Factors (Learning)
Jessica Adams – ProQuest LLC, 2021
The purpose of this comparative, quantitative study was to explore the relationship of interim test scores among remote and in-person learners, low-income students, and students with disabilities. In March 2020, a portion of students enrolled in a K-12 school in Northeast Tennessee was moved into remote learning until the end of the school year in…
Descriptors: Electronic Learning, In Person Learning, Grade 3, Grade 4
Isaac M. Opper – Annenberg Institute for School Reform at Brown University, 2021
Researchers often include covariates when they analyze the results of randomized controlled trials (RCTs), valuing the increased precision of the estimates over the potential of inducing small-sample bias when doing so. In this paper, we develop a sufficient condition which ensures that the inclusion of covariates does not cause small-sample bias…
Descriptors: Randomized Controlled Trials, Sample Size, Statistical Bias, Artificial Intelligence
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Kim, Hyung Jin; Brennan, Robert L.; Lee, Won-Chan – Journal of Educational Measurement, 2017
In equating, when common items are internal and scoring is conducted in terms of the number of correct items, some pairs of total scores ("X") and common-item scores ("V") can never be observed in a bivariate distribution of "X" and "V"; these pairs are called "structural zeros." This simulation…
Descriptors: Test Items, Equated Scores, Comparative Analysis, Methods
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Rios, Joseph A.; Guo, Hongwen; Mao, Liyang; Liu, Ou Lydia – International Journal of Testing, 2017
When examinees' test-taking motivation is questionable, practitioners must determine whether careless responding is of practical concern and if so, decide on the best approach to filter such responses. As there has been insufficient research on these topics, the objectives of this study were to: a) evaluate the degree of underestimation in the…
Descriptors: Response Style (Tests), Scores, Motivation, Computation
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Wang, Zhen; Zechner, Klaus; Sun, Yu – Language Testing, 2018
As automated scoring systems for spoken responses are increasingly used in language assessments, testing organizations need to analyze their performance, as compared to human raters, across several dimensions, for example, on individual items or based on subgroups of test takers. In addition, there is a need in testing organizations to establish…
Descriptors: Automation, Scoring, Speech Tests, Language Tests
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Walker, A. Adrienne; Jennings, Jeremy Kyle; Engelhard, George, Jr. – Educational Assessment, 2018
Individual person fit analyses provide important information regarding the validity of test score inferences for an "individual" test taker. In this study, we use data from an undergraduate statistics test (N = 1135) to illustrate a two-step method that researchers and practitioners can use to examine individual person fit. First, person…
Descriptors: Test Items, Test Validity, Scores, Statistics
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Shaw, Joyce A.; Almeida, Melissa G. – HAPS Educator, 2018
This study examined the relationship between quality of student prepared crib cards and exam scores in Anatomy and Physiology I and II. We hypothesized that students with better quality crib cards would have higher exam scores. Measured crib card attributes were: number of sections, number of colors used, and amount of the card utilized. Two…
Descriptors: Anatomy, Physiology, Scores, Undergraduate Students
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Gingerich, Andrea; Schokking, Edward; Yeates, Peter – Advances in Health Sciences Education, 2018
Recent literature places more emphasis on assessment comments rather than relying solely on scores. Both are variable, however, emanating from assessment judgements. One established source of variability is "contrast effects": scores are shifted away from the depicted level of competence in a preceding encounter. The shift could arise…
Descriptors: Evaluation Methods, Scores, Intervention, Schemata (Cognition)
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Yu, L. C.; Lee, C. W.; Pan, H. I.; Chou, C. Y.; Chao, P. Y.; Chen, Z. H.; Tseng, S. F.; Chan, C. L.; Lai, K. R. – Journal of Computer Assisted Learning, 2018
This study presents a model for the early identification of students who are likely to fail in an academic course. To enhance predictive accuracy, sentiment analysis is used to identify affective information from text-based self-evaluated comments written by students. Experimental results demonstrated that adding extracted sentiment information…
Descriptors: Prediction, Academic Failure, Models, Identification
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Sinharay, Sandip – Measurement: Interdisciplinary Research and Perspectives, 2018
Producers and consumers of test scores are increasingly concerned about fraudulent behavior before and during the test. There exist several statistical or psychometric methods for detecting fraudulent behavior on tests. This paper provides a review of the Bayesian approaches among them. Four hitherto-unpublished real data examples are provided to…
Descriptors: Ethics, Cheating, Student Behavior, Bayesian Statistics
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Sapey-Triomphe, Laurie-Anne; Moulin, Annie; Sonié, Sandrine; Schmitz, Christina – Journal of Autism and Developmental Disorders, 2018
Sensory sensitivity peculiarities represent an important characteristic of Autism Spectrum Disorders (ASD). We first validated a French language version of the Glasgow Sensory Questionnaire (GSQ) (Robertson and Simmons in "J Autism Dev Disord" 43(4):775-784, 2013). The GSQ score was strongly positively correlated with the Autism-Spectrum…
Descriptors: French, Sensory Integration, Autism, Correlation
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Henrie, Curtis R.; Bodily, Robert; Larsen, Ross; Graham, Charles R. – Journal of Computing in Higher Education, 2018
This study examines the relationship between log data of student activity in learning management systems and self-reported student engagement survey scores. Log data has the potential to serve as a meaningful proxy for survey scores. Should this be the case, log data could be used as a minimally disruptive and scalable approach to quickly identify…
Descriptors: Integrated Learning Systems, Correlation, Learner Engagement, Student Surveys
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