NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20260
Since 20250
Since 2022 (last 5 years)0
Since 2017 (last 10 years)3
Since 2007 (last 20 years)8
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 19 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Blackwell, Matthew; Honaker, James; King, Gary – Sociological Methods & Research, 2017
We extend a unified and easy-to-use approach to measurement error and missing data. In our companion article, Blackwell, Honaker, and King give an intuitive overview of the new technique, along with practical suggestions and empirical applications. Here, we offer more precise technical details, more sophisticated measurement error model…
Descriptors: Error of Measurement, Correlation, Simulation, Bayesian Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
Szadokierski, Isadora; Burns, Matthew K.; McComas, Jennifer J. – School Psychology Review, 2017
The current study used the learning hierarchy/instructional hierarchy phases of acquisition and fluency to predict intervention effectiveness based on preintervention reading skills. Preintervention reading accuracy (percentage of words read correctly) and rate (number of words read correctly per minute) were assessed for 49 second- and…
Descriptors: Intervention, Program Effectiveness, Predictive Measurement, Reading Rate
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Huang, Liuli; Roche, Lahna R.; Kennedy, Eugene; Brocato, Melissa B. – International Journal of Higher Education, 2017
Many researchers have explored the relationships between the likelihood of graduating from college and demographic and pre-college factors such as gender, race/ethnicity, high school grade point average (GPA), and standardized test scores. However, additional factors such as a student's college major, home address, or use of learning support in…
Descriptors: Graduation Rate, Predictor Variables, Predictive Measurement, Predictive Validity
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Wladis, Claire; Conway, Katherine M.; Hachey, Alyse C. – Online Learning, 2016
This study explored the interaction between student characteristics and the online environment in predicting course performance and subsequent college persistence among students in a large urban U.S. university system. Multilevel modeling, propensity score matching, and the KHB decomposition method were used. The most consistent pattern observed…
Descriptors: Online Courses, Electronic Learning, Learning Readiness, Student Characteristics
Peer reviewed Peer reviewed
Direct linkDirect link
Wolters, Christopher A.; Benzon, Maria B. – Journal of Experimental Education, 2013
College students ("N" = 215) completed a self-report instrument designed to assess different regulation of motivation strategies as well as aspects of their motivational beliefs, use of cognitive and metacognitive learning strategies, and procrastination. The study serves to extend the research on the self-regulation of motivation…
Descriptors: College Students, Self Disclosure (Individuals), Self Management, Self Motivation
Peer reviewed Peer reviewed
Direct linkDirect link
Tsai, Chih-Fong; Tsai, Ching-Tzu; Hung, Chia-Sheng; Hwang, Po-Sen – Australasian Journal of Educational Technology, 2011
Enabling undergraduate students to develop basic computing skills is an important issue in higher education. As a result, some universities have developed computer proficiency tests, which aim to assess students' computer literacy. Generally, students are required to pass such tests in order to prove that they have a certain level of computer…
Descriptors: Foreign Countries, Undergraduate Students, At Risk Students, Graduation Requirements
Peer reviewed Peer reviewed
Direct linkDirect link
Gavazzi, Stephen M.; Russell, Christiana M.; Khurana, Atika – Negro Educational Review, 2009
Disproportionately large numbers of Black youth experience repeated encounters with the juvenile justice system, and often these same youth present with a variety of school-related difficulties. Data from a sample of 842 Black males, assessed in five Ohio juvenile courts using the Global Risk Assessment Device (GRAD), are used to describe the…
Descriptors: African American Children, Learning Problems, Student Behavior, Academic Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Liu, Xiufeng; Ruiz, Miguel E. – Journal of Research in Science Teaching, 2008
This article reports a study on using data mining to predict K-12 students' competence levels on test items related to energy. Data sources are the 1995 Third International Mathematics and Science Study (TIMSS), 1999 TIMSS-Repeat, 2003 Trend in International Mathematics and Science Study (TIMSS), and the National Assessment of Educational…
Descriptors: Concept Teaching, Elementary Secondary Education, Academic Achievement, National Competency Tests
Peer reviewed Peer reviewed
Lehmann, Donald R.; Gupta, Sunil – Applied Psychological Measurement, 1989
Path Analysis of Covariance Matrix (PACM) is described as a way to separately estimate measurement and structural models using standard least squares procedures. PACM was empirically compared to simultaneous maximum likelihood estimation and use of the LISREL computer program, and its advantages are identified. (SLD)
Descriptors: Estimation (Mathematics), Least Squares Statistics, Mathematical Models, Maximum Likelihood Statistics
Peer reviewed Peer reviewed
O'Sullivan, Michael J.; Jemelka, Ron P. – Psychological Assessment, 1993
Levels of hostility and type of crime were compared in 94 male offenders with 3-4 or 4-3 Minnesota Multiphasic Personality Inventory (MMPI) high point pairs and in randomly selected offenders without these pairs. Results do not support these codes as evidence of a proclivity for violence. (SLD)
Descriptors: Comparative Testing, Criminals, Hostility, Males
Peer reviewed Peer reviewed
Young, Abimbola S. – Higher Education, 1989
Multi-group discriminant analysis was used to identify the pre-enrollment demographic and academic factors that best separate the success classes in the first-year examinations of science students at the University of Benin. The predictor of success was performance in specialist subjects of the matriculation examination. (Author/MLW)
Descriptors: Academic Achievement, College Science, College Students, Demography
Abadzi, Helen – Journal of College Student Personnel, 1980
International student admissions in universities can be facilitated by multivariate statistical procedures. On the basis of existing data on student characteristics, predictions can be made regarding performance of applicants. These predictions consider personal variables, knowledge of English, and various indicators of academic performance.…
Descriptors: Academic Aptitude, Admission Criteria, College Admission, Computer Oriented Programs
Peer reviewed Peer reviewed
Direct linkDirect link
Pineno, Oskar; de la Casa, Luis Gonzalo; Lubow, R. E.; Miller, Ralph R. – Learning and Motivation, 2006
The present experiments assessed the effects of different manipulations between cue preexposure and cue-outcome pairings on latent inhibition (LI) in a predictive learning task with human participants. To facilitate LI, preexposure and acquisition with the target cues took place while participants performed a secondary task. Presentation of…
Descriptors: Learning Theories, Cues, Inhibition, Experimental Groups
Peer reviewed Peer reviewed
DeMauro, G. – Language Testing, 1992
Several analyses are presented on the relationships among the Test of Spoken English, Test of Written English, and Test of English as a Foreign Language. The multivariate prediction of each test from the scores on the others is very accurate; variances with two prominent factors may relate to specific cognitive test-taking skills. (eight…
Descriptors: Comparative Analysis, Language Research, Language Skills, Language Tests
Peer reviewed Peer reviewed
Logan, John A. – American Journal of Sociology, 1983
A new model is developed that takes into consideration the relationship of occupational mobility to relevant factors such as education, discrimination, market fluctuation, and aspirations. (IS)
Descriptors: Career Choice, Models, Multivariate Analysis, Occupational Aspiration
Previous Page | Next Page ยป
Pages: 1  |  2