Publication Date
In 2025 | 1 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 9 |
Since 2006 (last 20 years) | 33 |
Descriptor
Predictive Measurement | 62 |
Predictor Variables | 62 |
Scores | 62 |
Academic Achievement | 19 |
Predictive Validity | 18 |
Grade Point Average | 17 |
Correlation | 15 |
Higher Education | 14 |
Regression (Statistics) | 11 |
Standardized Tests | 11 |
College Entrance Examinations | 10 |
More ▼ |
Source
Author
Publication Type
Education Level
Audience
Practitioners | 2 |
Researchers | 2 |
Location
Florida | 3 |
Pennsylvania | 2 |
Brazil | 1 |
China | 1 |
France (Paris) | 1 |
Hong Kong | 1 |
Illinois | 1 |
Iran | 1 |
Kansas | 1 |
Maine | 1 |
Malaysia | 1 |
More ▼ |
Laws, Policies, & Programs
No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Anders Holm; Anders Hjorth-Trolle; Robert Andersen – Sociological Methods & Research, 2025
Lagged dependent variables (LDVs) are often used as predictors in ordinary least squares (OLS) models in the social sciences. Although several estimators are commonly employed, little is known about their relative merits in the presence of classical measurement error and different longitudinal processes. We assess the performance of four commonly…
Descriptors: Elementary Education, Scores, Error of Measurement, Predictor Variables
Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
Chen, Yu; Upah, Sylvester – Journal of College Student Retention: Research, Theory & Practice, 2020
Science, Technology, Engineering, and Mathematics student success is an important topic in higher education research. Recently, the use of data analytics in higher education administration has gain popularity. However, very few studies have examined how data analytics may influence Science, Technology, Engineering, and Mathematics student success.…
Descriptors: STEM Education, Academic Advising, Data Analysis, Majors (Students)
Dehan, Jamie – ProQuest LLC, 2018
Purpose: The purpose of this study was to examine the effect professional foundational physical therapist education program coursework variables have in predicting National Physical Therapy Examination (NPTE) scores. This study examined variables including Anatomy course grade, Biomechanics/Kinesiology course grade, Exercise Physiology course…
Descriptors: Physical Therapy, Allied Health Occupations Education, Predictive Measurement, Licensing Examinations (Professions)
Hubbard, Joanna K.; Potts, Macy A.; Couch, Brian A. – CBE - Life Sciences Education, 2017
Assessments represent an important component of undergraduate courses because they affect how students interact with course content and gauge student achievement of course objectives. To make decisions on assessment design, instructors must understand the affordances and limitations of available question formats. Here, we use a crossover…
Descriptors: Test Format, Questioning Techniques, Undergraduate Students, Objective Tests
Leckie, George; Goldstein, Harvey – British Educational Research Journal, 2017
Since 1992, the UK Government has published so-called "school league tables" summarising the average General Certificate of Secondary Education (GCSE) "attainment" and "progress" made by pupils in each state-funded secondary school in England. While the headline measure of school attainment has remained the percentage…
Descriptors: Foreign Countries, Achievement Rating, Academic Achievement, Secondary School Students
LeBoutillier, Nicholas; Barry, Richard; Westley, David – Creativity Research Journal, 2014
There are many anecdotal reports of a link between psychopathology and creativity. The strongest links have been purported between creativity psychosis, schizotypy, and personality. The aim of this study was to investigate the link between schizotypy and imagery-based measures of creativity; Barron's (1988) Symbolic Equivalence Test and Finke's…
Descriptors: Imagery, Creativity, Correlation, Predictive Measurement
West, Stephen G.; Hughes, Jan N.; Kim, Han Joe; Bauer, Shelby S. – Educational Measurement: Issues and Practice, 2019
The Motivation for Educational Attainment (MEA) questionnaire, developed to assess facets related to early adolescents' motivation to complete high school, has a bifactor structure with a large general factor and three smaller orthogonal specific factors (teacher expectations, peer aspirations, value of education). This prospective validity study…
Descriptors: Student Motivation, Educational Attainment, Questionnaires, Adolescent Attitudes
Berlin, Noémi; Tavani, Jean-Louis; Beasançon, Maud – Education Economics, 2016
We investigate the link between schooling achievement and creativity scores, controlling for personality traits and other individual characteristics. Our study is based on field data collected in a secondary school situated in a Parisian suburb. Four scores of creativity were measured on 9th graders. Verbal divergent thinking negatively predicts…
Descriptors: Creativity, Academic Achievement, Scores, Personality Traits
Peters, S. Colby; Woolley, Michael E. – Children & Schools, 2015
Data from the School Success Profile generated by 19,228 middle and high school students were organized into three broad categories of risk and protective factors--control, support, and challenge--to examine the relative and combined power of aggregate scale scores in each category so as to predict academic success. It was hypothesized that higher…
Descriptors: Academic Achievement, Success, Risk, Risk Assessment
Eickhoff, Mary Ann – ProQuest LLC, 2016
There is currently a nursing shortage in the United States. By 2022, the Bureau of Labor Statistics (BLS) expects, the number of job openings for Practical Nurses (PN) will be 168,500, an increase of 25% over 2012 (BLS, 2014). Nursing education does not currently meet present, much less future needs. Nursing programs have limited space; according…
Descriptors: Nursing Students, Predictor Variables, Success, Licensing Examinations (Professions)
Tamboer, Peter; Vorst, Harrie C. M.; Oort, Frans J. – Annals of Dyslexia, 2014
Methods for identifying dyslexia in adults vary widely between studies. Researchers have to decide how many tests to use, which tests are considered to be the most reliable, and how to determine cut-off scores. The aim of this study was to develop an objective and powerful method for diagnosing dyslexia. We took various methodological measures,…
Descriptors: Dyslexia, Foreign Countries, Adults, College Students
Crouch, Suzanne J. – Journal of College Teaching & Learning, 2015
The purpose of this study was to assess the merit of the Watson-Glaser Critical Thinking Appraisal as a pre-admission criterion in conjunction with the frequently utilized admission criteria of the college prerequisite grade point average and the National League of Nursing pre-admission test. Data were collected from 192 first-year nursing…
Descriptors: Nursing Education, Success, Predictor Variables, Admission Criteria
Pacheco, Wendy I.; Noel, Richard J., Jr.; Porter, James T.; Appleyard, Caroline B. – CBE - Life Sciences Education, 2015
The use and validity of the Graduate Record Examination General Test (GRE) to predict the success of graduate school applicants is heavily debated, especially for its possible impact on the selection of underrepresented minorities into science, technology, engineering, and math fields. To better identify candidates who would succeed in our program…
Descriptors: Puerto Ricans, Predictor Variables, Success, Doctoral Programs
Gorvine, Benjamin J.; Smith, H. David – Teaching of Psychology, 2015
This study describes the use of a collaborative learning approach in a psychological statistics course and examines the factors that predict which students benefit most from such an approach in terms of learning outcomes. In a course format with a substantial group work component, 166 students were surveyed on their preference for individual…
Descriptors: Prediction, Predictive Measurement, Success, Psychology