Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 9 |
Descriptor
| Comparative Analysis | 35 |
| Predictive Measurement | 35 |
| Statistical Analysis | 35 |
| Predictor Variables | 11 |
| Predictive Validity | 10 |
| Academic Achievement | 8 |
| Correlation | 8 |
| Test Interpretation | 7 |
| Higher Education | 6 |
| College Students | 5 |
| Grade Point Average | 5 |
| More ▼ | |
Source
Author
Publication Type
Education Level
| Higher Education | 5 |
| Elementary Secondary Education | 2 |
| Postsecondary Education | 2 |
| Secondary Education | 2 |
| Adult Education | 1 |
| Early Childhood Education | 1 |
| Elementary Education | 1 |
| Grade 4 | 1 |
| Grade 8 | 1 |
| Grade 9 | 1 |
| High Schools | 1 |
| More ▼ | |
Audience
Location
| Pennsylvania | 2 |
| United Kingdom | 2 |
| Australia | 1 |
| Finland | 1 |
| Latvia | 1 |
| Mexico | 1 |
| Michigan | 1 |
| Nebraska | 1 |
| Ohio | 1 |
| Portugal | 1 |
| Romania | 1 |
| More ▼ | |
Laws, Policies, & Programs
| No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Almeda, Ma. Victoria; Zuech, Joshua; Utz, Chris; Higgins, Greg; Reynolds, Rob; Baker, Ryan S. – Online Learning, 2018
Online education continues to become an increasingly prominent part of higher education, but many students struggle in distance courses. For this reason, there has been considerable interest in predicting which students will succeed in online courses and which will receive poor grades or drop out prior to completion. Effective intervention depends…
Descriptors: Performance Factors, Online Courses, Electronic Learning, Models
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
Austin, Bruce; French, Brian; Adesope, Olusola; Gotch, Chad – Journal of Experimental Education, 2017
Measures of variability are successfully used in predictive modeling in research areas outside of education. This study examined how standard deviations can be used to address research questions not easily addressed using traditional measures such as group means based on index variables. Student survey data were obtained from the Organisation for…
Descriptors: Predictor Variables, Models, Predictive Measurement, Statistical Analysis
Williamson, Ben – Journal of Education Policy, 2016
Educational institutions and governing practices are increasingly augmented with digital database technologies that function as new kinds of policy instruments. This article surveys and maps the landscape of digital policy instrumentation in education and provides two detailed case studies of new digital data systems. The Learning Curve is a…
Descriptors: Visualization, Synchronous Communication, Governance, Data Collection
Jensen, Philip A.; Barron, James N. – Journal of College Science Teaching, 2014
Students routinely ignore negative feedback regarding their performances early in college science courses. In this study we analyzed the extent to which two standard forms of feedback, midterm and first-exam grades, correlated with final grades in several biology courses. The courses ranged from an introductory course for nonmajors to upper…
Descriptors: Biology, Predictive Validity, Grade Prediction, Feedback (Response)
Kim, Su-Young; Kim, Jee-Seon – Structural Equation Modeling: A Multidisciplinary Journal, 2012
This article investigates three types of stage-sequential growth mixture models in the structural equation modeling framework for the analysis of multiple-phase longitudinal data. These models can be important tools for situations in which a single-phase growth mixture model produces distorted results and can allow researchers to better understand…
Descriptors: Structural Equation Models, Data Analysis, Research Methodology, Longitudinal Studies
Marnewick, Carl – Educational Studies, 2012
First-year students are still failing at an alarming rate. This is an international issue that universities face and there is currently no clear indication of the cause of the problem as universities move from being elite to providing mass education. This article examines the possible correlation between students' high school performance and…
Descriptors: Academic Achievement, Admission Criteria, Correlation, Mathematics Achievement
Kadhi, T.; Rudley, D.; Holley, D.; Krishna, K.; Ogolla, C.; Rene, E.; Green, T. – Online Submission, 2010
The following report of descriptive statistics addresses the attendance of the 2012 class and the average Actual and Predicted 1L Grade Point Averages (GPAs). Correlational and Inferential statistics are also run on the variables of Attendance (Y/N), Attendance Number of Times, Actual GPA, and Predictive GPA (Predictive GPA is defined as the Index…
Descriptors: Grade Point Average, Law Schools, Statistical Analysis, Databases
Twissell, Adrian – Design and Technology Education, 2011
This study examines whether MidYIS and YELLIS cognitive ability tests (CATs) are appropriate methods for the identification of giftedness in Design and Technology. A key rationale for the study was whether CATs and able to identify those students with the aptitudes considered of importance to identifying giftedness in Design and Technology and…
Descriptors: Foreign Countries, Gifted, Identification, Cognitive Ability
Morris, John D. – 1978
Several advantages to the use of factor scores as independent variables in a multiple regression equation were found. To help select the most desirable type of factor score on which to calculate a regression equation, computer-based Monte Carlo methods were used to compare the predictive accuracy upon replication of regression of five…
Descriptors: Comparative Analysis, Correlation, Factor Analysis, Multiple Regression Analysis
Routh, Jerry Doyle – 1970
This study sought to ascertain the effect on student behavior of two approaches to visual information transmission. These approaches involved varying the sequence of messages transmitted through the visual communications channel and varying the redundancy of messages presented through this channel. The investigation was conducted as a four-group…
Descriptors: Achievement Rating, College Students, Comparative Analysis, Predictive Measurement
Thrash, Jimmie Ford – 1970
To justify the use of a particular teaching method it should be followed up with a measurement of student achievement. Thus, the primary objective of this study was to determine whether the project method of instruction is accomplishing its task of training young men and women to enter the world of work without the benefit of first hand experience…
Descriptors: Achievement Rating, Comparative Analysis, Distributive Education, High School Students
Kirisci, Levent; Hsu, Tse-Chi – 1988
The predictive analysis approach to adaptive testing originated in the idea of statistical predictive analysis suggested by J. Aitchison and I.R. Dunsmore (1975). The adaptive testing model proposed is based on parameter-free predictive distribution. Aitchison and Dunsmore define statistical prediction analysis as the use of data obtained from an…
Descriptors: Adaptive Testing, Bayesian Statistics, Comparative Analysis, Item Analysis
Peer reviewedPoole, Millicent E. – British Journal of Educational Psychology, 1972
In distinguishing the characteristics of message systems, it was found that middle-class messages were generally more difficult to predict while working-class systems were more predictable and stereotyped. (Author/MB)
Descriptors: Cloze Procedure, Comparative Analysis, Language Usage, Performance Factors
Tsai, Yung-mei; Perry, Floyd, Jr. – 1975
The study's purpose was to: (1) identify factors affecting college students' academic performance measured by college grade point average (GPA) and persistence identified by whether or not withdrawn from the university initially attended; and (2) compare these factors among Black, Mexican American, and Anglo students. Data were obtained from the…
Descriptors: Academic Achievement, Anglo Americans, Black Students, College Students

Direct link
