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Mohsen Dolatabadi – Australian Journal of Applied Linguistics, 2023
Many datasets resulting from participant ratings for word norms and also concreteness ratios are available. However, the concreteness information of infrequent words and non-words is rare. This work aims to propose a model for estimating the concreteness of infrequent and new lexicons. Here, we used Lancaster sensory-motor word norms to predict…
Descriptors: Prediction, Validity, Models, Computational Linguistics
Amiryousefi, Mohammad – Innovation in Language Learning and Teaching, 2018
This study investigated how well interest and motives to communicate with the instructor (MCI) predict L2 willingness to communicate (WTC) and L2 speaking among English as a foreign language (EFL) learners, and tested whether these variables predict L2 WTC and speaking differently across different age and sex groups. It also examined whether there…
Descriptors: Second Language Learning, Age Differences, Gender Differences, Prediction
Takele, Silabat – Journal of Education and Practice, 2017
This is a predictive validity study which aimed at examining the validity strength of College Entrance Assessment (CEA) scores, EGSLCE (Ethiopian General School Leaving Certificate Examination) and High School Average Transcript (HSAT) in predicting college students' academic success as measured by first year CGPA. For this purpose, 2015 regular…
Descriptors: Validity, Scores, College Entrance Examinations, Multiple Regression Analysis
Goulimaris, Dimitrios – Turkish Online Journal of Distance Education, 2015
The aim of the present study, within the frame of self-determination theory (SDT), was triple: a) to examine the structural validity of the "Situational Motivation Scale" (SIMS) in the field of distance education, b) to investigate the correlation between the subscales of the motivation and satisfaction of students who attend distance…
Descriptors: Distance Education, Student Motivation, Student Satisfaction, Self Determination
LeRoux, Mindy J. – ProQuest LLC, 2012
The purpose of this study was to analyze the relationship between oral reading fluency (ORF) and Maze, two common Curriculum-Based Measures (CBMs), and the statewide large-scale assessment of reading in Oregon, the Oregon Assessment of Knowledge and Skills- Reading (OAKS-R). A sample of three cohorts of eighth-grade students in an Oregon school…
Descriptors: Curriculum Based Assessment, Grade 8, Reading Tests, Oral Reading
Karanam, Saraschandra; van Oostendorp, Herre; Indurkhya, Bipin – Behaviour & Information Technology, 2012
CoLiDeS + Pic is a cognitive model of web-navigation that incorporates semantic information from pictures into CoLiDeS. In our earlier research, we have demonstrated that by incorporating semantic information from pictures, CoLiDeS + Pic can predict the hyperlinks on the shortest path more frequently, and also with greater information scent,…
Descriptors: Semantics, Hypermedia, Semiotics, Visual Stimuli
Agbatogun, Alaba Olaoluwakotansibe – International Electronic Journal of Elementary Education, 2012
This study investigated the extent to which computer literacy dimensions (computer general knowledge, documents and documentations, communication and surfing as well as data inquiry), computer use and academic qualification as independent variables predicted primary school teachers' attitude towards the integration of Personal Response System in…
Descriptors: Foreign Countries, Elementary School Teachers, English (Second Language), Second Language Instruction
Hynes, Kevin – 1976
One aspect of multiple regression--the shrinkage of the multiple correlation coefficient on cross-validation is reviewed. The paper consists of four sections. In section one, the distinction between a fixed and a random multiple regression model is made explicit. In section two, the cross-validation paradigm and an explanation for the occurrence…
Descriptors: Correlation, Error Patterns, Literature Reviews, Mathematical Models

Shigemasu, Kazuo – Journal of Educational Statistics, 1976
Context for the application and specialization of a Bayesian linear model is m-group regression and the application to the prediction of grade point average. Specialization involves the assumption of homogeneity of regression coefficients (but not intercepts) across groups. Model's predictive efficiency is compared with that of the full m-group…
Descriptors: Bayesian Statistics, Comparative Analysis, Grade Point Average, Least Squares Statistics