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Dorans, Neil J. – ETS Research Report Series, 2018
A distinction is made between scores as measures of a construct and predictions of a criterion or outcome variable. The interpretation attached to predictions of criteria, such as job performance or college grade point average (GPA), differs from that attached to scores that are measures of a construct, such as reading proficiency or knowledge…
Descriptors: Job Performance, Scores, Data Interpretation, Statistical Distributions
Kazak, Sibel; Pratt, Dave; Gökce, Rukiye – ZDM: The International Journal on Mathematics Education, 2018
We explore 11-12-year-old students' emerging ideas of models and modelling as they engage in a data-modelling task involving inquiry based on data obtained from an experiment. We report on a design-based study in which students identified what and how to measure, decided how to structure and represent data, and made inferences and predictions…
Descriptors: Data, Models, Grade 6, Mathematics Instruction
Kondo-Ikemura, Kiyomi; Behrens, Kazuko Y.; Umemura, Tomo; Nakano, Shigeru – Developmental Psychology, 2018
The current study investigated the intergenerational transmission of attachment in Sapporo, Japan, using the Adult Attachment Interview (AAI) and the Strange Situation Procedure (SSP). This is the first SSP study in Sapporo in three decades, after a study in the mid-1980s reported controversial results. The SSP distributions found in the current…
Descriptors: Foreign Countries, Mothers, Attachment Behavior, Infants
Grigg, Jeffrey; Abt, Michelle; Connolly, Faith – Baltimore Education Research Consortium, 2018
Using publicly reported data from the Maryland State Department of Education (MSDE) and the Maryland Department of Health and Mental Hygiene (DHMH), this brief examines the relation between the number of Baltimore-born children and the subsequent kindergarten enrollment in Baltimore City Public Schools (City Schools). The authors use this birth…
Descriptors: Kindergarten, Enrollment Rate, Public Schools, Prediction
Colver, Mitchell – New Directions for Institutional Research, 2019
As we become increasingly acquainted with the rich opportunities that analytics systems can provide, there is a commensurate need to consider the extent to which analytics tools are effectively integrated, with proper training, into the day-to-day functioning of higher education professionals. This chapter explores the extent to which predictive…
Descriptors: Data Collection, Data Analysis, Educational Research, Higher Education
Wong, Hiu Yan Amy; McClelland, Alastair; Furnham, Adrian – Applied Cognitive Psychology, 2019
The current study explored the effect of sexual content in advertisements and the programme-advertisement congruence on the memory of sexual and nonsexual advertisements. Seventy participants (41 females and 29 males) were randomly allocated to one of four conditions. They viewed either "The Bachelorette" (sexual programme) or "I'm…
Descriptors: Advertising, Sexuality, Olfactory Perception, Television
Emotion Words, Emotion Concepts, and Emotional Development in Children: A Constructionist Hypothesis
Hoemann, Katie; Xu, Fei; Barrett, Lisa Feldman – Developmental Psychology, 2019
In this article, we integrate two constructionist approaches--the theory of constructed emotion and rational constructivism--to introduce several novel hypotheses for understanding emotional development. We first discuss the hypothesis that emotion categories are abstract and conceptual, whose instances share a goal-based function in a particular…
Descriptors: Emotional Development, Child Development, Psychological Patterns, Vocabulary
Chance, Beth; Reynolds, Shea – Journal of Statistics Education, 2019
Through a series of explorations, this article will demonstrate how the Kentucky Derby winning times dataset provides various opportunities for introductory and advanced topics, from data processing to model building. Although the final goal may be a prediction interval, the dataset is rich enough for it to appear in several places in an…
Descriptors: Prediction, Statistics, Data Processing, Homework
Caceffo, Ricardo; Valle, Eduardo; Mesquita, Rickson; Azevedo, Rodolfo – European Journal of Physics Education, 2019
According to the Felder and Silverman Learning Styles Model (FSM), students have learning preferences regarding how information is obtained, processed, perceived and understood. The Index of Learning Styles (ILS) is an online questionnaire created by Felder and Soloman to classify students according to their learning styles. With a priori…
Descriptors: Prediction, Cognitive Style, Models, Science Achievement
Wang, Wenyi; Song, Lihong; Chen, Ping; Ding, Shuliang – Journal of Educational Measurement, 2019
Most of the existing classification accuracy indices of attribute patterns lose effectiveness when the response data is absent in diagnostic testing. To handle this issue, this article proposes new indices to predict the correct classification rate of a diagnostic test before administering the test under the deterministic noise input…
Descriptors: Cognitive Tests, Classification, Accuracy, Diagnostic Tests
Sinharay, Sandip; Zhang, Mo; Deane, Paul – Applied Measurement in Education, 2019
Analysis of keystroke logging data is of increasing interest, as evident from a substantial amount of recent research on the topic. Some of the research on keystroke logging data has focused on the prediction of essay scores from keystroke logging features, but linear regression is the only prediction method that has been used in this research.…
Descriptors: Scores, Prediction, Writing Processes, Data Analysis
Meijer, Eline; Cleiren, Marc P. H. D.; Dusseldorp, Elise; Buurman, Vincent J. C.; Hogervorst, Roel M.; Heiser, Willem J. – Educational Measurement: Issues and Practice, 2019
Early prediction of academic performance is important for student support. The authors explored, in a multivariate approach, whether pre-entry data (e.g., high school study results, preparative activities, expectations, capabilities, motivation, and attitude) could predict university students' first-year academic performance. Preregistered…
Descriptors: Academic Achievement, College Freshmen, Prediction, Risk
Van Goch, Merel M.; Verhoeven, Ludo; McQueen, James M. – Journal of Child Language, 2019
In lexical development, the specificity of phonological representations is important. The ability to build phonologically specific lexical representations predicts the number of words a child knows (vocabulary breadth), but it is not clear if it also fosters how well words are known (vocabulary depth). Sixty-six children were studied in…
Descriptors: Vocabulary Development, Prediction, Kindergarten, Grade 1
Hu, Qian; Rangwala, Huzefa – International Educational Data Mining Society, 2019
Student's academic performance prediction empowers educational technologies including academic trajectory and degree planning, course recommender systems, early warning and advising systems. Given a student's past data (such as grades in prior courses), the task of student's performance prediction is to predict a student's grades in future…
Descriptors: Academic Achievement, Attention, Prior Learning, Prediction
Doan, Thanh-Nam; Sahebi, Shaghayegh – International Educational Data Mining Society, 2019
One of the essential problems, in educational data mining, is to predict students' performance on future learning materials, such as problems, assignments, and quizzes. Pioneer algorithms for predicting student performance mostly rely on two sources of information: students' past performance, and learning materials' domain knowledge model. The…
Descriptors: Data Analysis, Performance Factors, Prediction, Models

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