Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 6 |
| Since 2007 (last 20 years) | 14 |
Descriptor
| Educational Research | 159 |
| Predictive Measurement | 159 |
| Academic Achievement | 46 |
| Higher Education | 40 |
| Predictor Variables | 28 |
| Predictive Validity | 22 |
| Test Validity | 22 |
| Research Methodology | 20 |
| Statistical Analysis | 19 |
| Student Evaluation | 19 |
| Models | 16 |
| More ▼ | |
Source
Author
| Benton, Sidney E. | 2 |
| Howard S. Bloom | 2 |
| Jerrolds, Bob W. | 2 |
| Kriti Singh | 2 |
| Michael J. Weiss | 2 |
| Suppes, Patrick, Ed. | 2 |
| Abrahams, Norman M. | 1 |
| Abu Saa, Amjed | 1 |
| Adams, L. La Mar | 1 |
| Adesope, Olusola | 1 |
| Al-Emran, Mostafa | 1 |
| More ▼ | |
Publication Type
Education Level
Audience
| Researchers | 5 |
| Practitioners | 3 |
| Policymakers | 2 |
| Teachers | 1 |
Location
| Australia | 4 |
| Finland | 2 |
| Florida | 2 |
| Georgia | 2 |
| Texas | 2 |
| Africa | 1 |
| Asia | 1 |
| Canada (Toronto) | 1 |
| Croatia | 1 |
| Georgia (Atlanta) | 1 |
| Hawaii | 1 |
| More ▼ | |
Laws, Policies, & Programs
| Education Amendments 1976 | 1 |
| No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Michael J. Weiss; Howard S. Bloom; Kriti Singh – Educational Evaluation and Policy Analysis, 2023
This article provides evidence about predictive relationships between features of community college interventions and their impacts on student progress. This evidence is based on analyses of student-level data from large-scale randomized trials of 39 (mostly) community college interventions. Specifically, the evidence consistently indicates that…
Descriptors: Community College Students, Intervention, Predictive Measurement, Randomized Controlled Trials
Michael J. Weiss; Howard S. Bloom; Kriti Singh – Grantee Submission, 2022
This article provides evidence about predictive relationships between features of community college interventions and their impacts on student progress. This evidence is based on analyses of student-level data from large-scale randomized trials of 39 (mostly) community college interventions. Specifically, the evidence consistently indicates that…
Descriptors: Community College Students, Intervention, Predictive Measurement, Randomized Controlled Trials
How, Meng-Leong; Hung, Wei Loong David – Education Sciences, 2019
Educational stakeholders would be better informed if they could use their students' formative assessments results and personal background attributes to predict the conditions for achieving favorable learning outcomes, and conversely, to gain awareness of the "at-risk" signals to prevent unfavorable or worst-case scenarios from happening.…
Descriptors: Artificial Intelligence, Bayesian Statistics, Models, Data Use
Abu Saa, Amjed; Al-Emran, Mostafa; Shaalan, Khaled – Technology, Knowledge and Learning, 2019
Predicting the students' performance has become a challenging task due to the increasing amount of data in educational systems. In keeping with this, identifying the factors affecting the students' performance in higher education, especially by using predictive data mining techniques, is still in short supply. This field of research is usually…
Descriptors: Performance Factors, Data Analysis, Higher Education, Academic Achievement
Porter, Kristin E.; Balu, Rekha; Gunton, Brad; Pestronk, Jefferson; Cohen, Allison – Society for Research on Educational Effectiveness, 2016
With the advent of data systems that allow for frequent or even real-time student data updates, and recognition that high school students often can move from being on-track to graduation to off-track in a matter of weeks, indicator analysis alone may not provide a complete picture to guide school leaders' actions. The authors of this paper suggest…
Descriptors: Graduation, High School Students, Public Schools, At Risk Students
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
Gagnon, Ryan J.; Stone, Garrett A.; Garst, Barry A. – Journal of Outdoor Recreation, Education, and Leadership, 2017
Critically examining common statistical approaches and their strengths and weaknesses is an important step in advancing recreation and leisure sciences. To continue this critical examination and to inform methodological decision making, this study compared three approaches to determine how alternative approaches may result in contradictory…
Descriptors: Recreation, Recreational Programs, Educational Research, Research Methodology
Singh, Malkeet – Journal of Educational Research, 2015
Closing the achievement gap in public education is a worthy goal that has been included as a top priority in the No Child Left Behind Act of 2001 (2002). This study analyzed the most salient predictors at the student and school levels to identify their long-term impact on mathematics achievement from the elementary grades to high school. The…
Descriptors: Socioeconomic Influences, Achievement Gap, Public Education, Mathematics Achievement
National Centre for Vocational Education Research (NCVER), 2011
This publication presents early estimates of apprentice and trainee commencements for the December quarter 2010. Indicative information about this quarter is presented here; the most recent figures are estimated, taking into account reporting lags that occur at the time of data collection. The early trend estimates are derived from the National…
Descriptors: National Surveys, Trainees, Apprenticeships, Trend Analysis
van Fleet, Justin W. – International Journal of Educational Advancement, 2010
With the economic downturn starting in December 2007 (National Bureau of Economic Research, 2009), K-12 school systems, educational non-profits and institutions of higher education have found themselves questioning the degree to which they can rely on outside philanthropic giving to support their activities. Although some research has examined the…
Descriptors: Corporate Support, Economic Factors, Private Financial Support, Trend Analysis
Kirkup, Catherine; Wheater, Rebecca; Morrison, Jo; Durbin, Ben – National Foundation for Educational Research, 2010
In 2005, the National Foundation for Educational Research (NFER) was commissioned to evaluate the potential value of using an aptitude test as an additional tool in the selection of candidates for admission to higher education (HE). This five-year study is co-funded by the National Foundation for Educational Research (NFER), the Department for…
Descriptors: Educational Research, Aptitude Tests, Student Surveys, Admission Criteria
Bahr, Peter Riley – Research in Higher Education, 2010
The development of a typology of community college students is a topic of long-standing and growing interest among educational researchers, policy-makers, administrators, and other stakeholders, but prior work on this topic has been limited in a number of important ways. In this paper, I develop a behavioral typology based on students'…
Descriptors: Community Colleges, Educational Research, Enrollment Trends, Classification
Helwig, Carl; Pendergraph, Anita – Journal of Business Education, 1971
A computer-analyzed statistical study of a means by which a pupil's probable success in a senior data processing class can be predicted while he is still in junior high school. (Editor)
Descriptors: Business Education, Data Processing, Educational Research, Predictive Measurement
Peer reviewedDavis, Gary A.; And Others – Journal of Creative Behavior, 1974
Article investigated the use of biographical, personality, attitudinal and motivational information for predicting creative potential. (Author/RK)
Descriptors: Beliefs, Creativity, Educational Research, Measurement Instruments
Peer reviewedClopton, James R.; Neuringer, Charles – Perceptual and Motor Skills, 1973
Indicates that high scholastic potential of women can be predicted from a scale consisting of personality inventory items. (RB)
Descriptors: Academic Achievement, Educational Research, Females, Predictive Measurement

Direct link
