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Kovalchik, Stephanie A.; Martino, Steven C.; Collins, Rebecca L.; Shadel, William G.; D'Amico, Elizabeth J.; Becker, Kirsten – Journal of Educational and Behavioral Statistics, 2018
Ecological momentary assessment (EMA) is a popular assessment method in psychology that aims to capture events, emotions, and cognitions in real time, usually repeatedly throughout the day. Because EMA typically involves more intensive monitoring than traditional assessment methods, missing data are commonly an issue and this missingness may bias…
Descriptors: Probability, Statistical Bias, Holistic Approach, Evaluation Methods
Sinclair, Alyssa H.; Barense, Morgan D. – Learning & Memory, 2018
Through the process of "reconsolidation," reminders can temporarily destabilize memories and render them vulnerable to change. Recent rodent research has proposed that prediction error, or the element of surprise, is a key component of this process; yet, this hypothesis has never before been extended to complex episodic memories in…
Descriptors: Memory, Prediction, Error Patterns, Cues
Cohen, Justine E.; Ross, Robert S.; Stern, Chantal E. – Learning & Memory, 2018
Previous research has demonstrated that areas in the medial temporal lobe and prefrontal cortex (PFC) show increased activation during retrieval of overlapping sequences. In this study, we designed a task in which degree of overlap varied between conditions in order to parse out the contributions of hippocampal and prefrontal subregions as overlap…
Descriptors: Prediction, Brain Hemisphere Functions, Visual Stimuli, Diagnostic Tests
Attaran, Mohsen; Stark, John; Stotler, Derek – Industry and Higher Education, 2018
Business leaders around the world are using emerging technologies to capitalize on data, to create business value and to compete effectively in a digitally driven world. They rely on data analytics to accelerate time to insight and to gain a better understanding of their customers' needs and wants. However, big data and data analytics solutions in…
Descriptors: Models, Higher Education, Data Collection, Program Implementation
Liu, Yang; Yang, Ji Seung – Journal of Educational and Behavioral Statistics, 2018
The uncertainty arising from item parameter estimation is often not negligible and must be accounted for when calculating latent variable (LV) scores in item response theory (IRT). It is particularly so when the calibration sample size is limited and/or the calibration IRT model is complex. In the current work, we treat two-stage IRT scoring as a…
Descriptors: Intervals, Scores, Item Response Theory, Bayesian Statistics
Uçan, Izzet – Journal of Education and Training Studies, 2018
The main purpose of this study was prediction of elite male trampolines performance based on the selected physical capabilities in different age categories. To this aim, 45 male athletes (age 14.17 ± 2.86 yrs, athletic experience 7.22 ± 3.64 yrs and competitive experience 3.31 ± 2.44 yrs), who participated in the national trampoline team's…
Descriptors: Physical Fitness, Athletes, Multiple Regression Analysis, Correlation
van Setten, Ellie R. H.; Hakvoort, Britt E.; van der Leij, Aryan; Maurits, Natasha M.; Maassen, Ben A. M. – Annals of Dyslexia, 2018
The present study investigates whether grade 6 reading outcomes, reading fluency, and reading comprehension can be predicted by grade 3 reading fluency, familial risk of dyslexia (FR), and grade 3 reading related skills: rapid automatized naming (RAN), phonological awareness (PA), and vocabulary. In a sample of 150 children, of whom 83 had a…
Descriptors: Grade 6, At Risk Students, Reading Fluency, Reading Comprehension
Sanjeevan, Teenu; Rosenbaum, David A.; Mainela-Arnold, Elina – Journal of Speech, Language, and Hearing Research, 2018
Purpose: Specific language impairment (SLI) affects many children, but its symptomatology is still being characterized. An emerging view, which challenges the notion that SLI is specific to language, is that SLI may actually reflect a domain-general deficit in procedural learning. We explored an extension of this hypothesis that a core deficit in…
Descriptors: Language Impairments, Language Processing, Prediction, Age Differences
Shannon, Eric William; Saatcioglu, Argun – Educational Policy, 2018
Proponents of the charter school movement often claim that the decentralized, autonomous nature of charter schools from district and state authority allows teachers greater influence over school policy both instructionally and administratively. Using a data set of 1,427 New York City schools, we empirically examine the extent to which…
Descriptors: Institutional Characteristics, Prediction, Charter Schools, Educational Policy
Meyer, Megan L.; McDonald, Stacy A.; DellaPietra, Lynn; Wiechnik, Matthew; Dasch-Yee, Kimberly B. – Journal of the Scholarship of Teaching and Learning, 2018
As student participation is an essential component of many classes, this research attempted to foster increased congruence between student and professor ratings of class participation. Study 1 (N = 191) explored the utility of a detailed grading rubric in assessing participation. As predicted, providing students and faculty with the same rubric…
Descriptors: Student Participation, Classroom Communication, Teacher Attitudes, Student Attitudes
Braithwaite, David W.; Siegler, Robert S. – Grantee Submission, 2018
Fraction arithmetic is among the most important and difficult topics children encounter in elementary and middle school mathematics. Braithwaite, Pyke, and Siegler (2017) hypothesized that difficulties learning fraction arithmetic often reflect reliance on associative knowledge--rather than understanding of mathematical concepts and procedures--to…
Descriptors: Correlation, Fractions, Arithmetic, Mathematics Instruction
Gruendler, Donald L., Jr. – ProQuest LLC, 2018
The majority of student evaluations of teaching (SET) related studies repeatedly consider matters related to the creation and validity of an assessment tool, as well as the validity, and reliability of SET scores. Not only to determine the usefulness of teaching; but also, the possible sources of student biases related thereto as well (Hofman…
Descriptors: College Faculty, Undergraduate Students, Teacher Effectiveness, Student Attitudes
Shi, Genghu; Lippert, Anne M.; Shubeck, Keith; Fang, Ying; Chen, Su; Pavlik, Philip, Jr.; Greenberg, Daphne; Graesser, Arthur C. – Grantee Submission, 2018
Reading comprehension is often assessed by having students read passages and administering a test that assesses their understanding of the text. Shorter assessments may fail to give a full picture of comprehension ability while more thorough ones can be time consuming and costly. This study used data from a conversational intelligent tutoring…
Descriptors: Reading Comprehension, Intelligent Tutoring Systems, Adults, Accuracy
Chowdhury, Naser – ProQuest LLC, 2018
A renewed interest in cloud computing adoption has occurred in academic and industry settings because emerging technologies have strong links to cloud computing and Big Data technology. Big Data technology is driving cloud computing adoption in large business organizations. For cloud computing adoption to increase, cloud computing must transition…
Descriptors: Computer Software, Information Technology, Prediction, Models
Calabrese Barton, Angela; Tan, Edna – Grantee Submission, 2018
The maker movement has evoked interest for its role in breaking down barriers to STEM learning. However, few empirical studies document how youth are supported over time, in STEM-rich making projects or their outcomes. This longitudinal critical ethnographic study traces the development of 41 youth maker projects in two community-centered making…
Descriptors: STEM Education, Longitudinal Studies, Ethnography, Entrepreneurship

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