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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
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Yanagiura, Takeshi – Community College Review, 2023
Objective: This study examines how accurately a small set of short-term academic indicators can approximate long-term outcomes of community college students so that decision-makers can take informed actions based on those indicators to evaluate the current progress of large-scale reform efforts on long-term outcomes, which in practice will not be…
Descriptors: Community Colleges, Community College Students, Educational Indicators, Outcomes of Education
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Gomes, Cristiano Mauro Assis; Almeida, Leandro S. – Practical Assessment, Research & Evaluation, 2017
Predictive studies have been widely undertaken in the field of education to provide strategic information about the extensive set of processes related to teaching and learning, as well as about what variables predict certain educational outcomes, such as academic achievement or dropout. As in any other area, there is a set of standard techniques…
Descriptors: Predictive Measurement, Statistical Analysis, Decision Making, Foreign Countries
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Qin, Lu; Phillips, Glenn Allen – International Journal of Higher Education, 2019
The 3-year graduation rate is a rarely measured metric in higher education compared to its 4- or 6- year graduation rate counterparts. For the first time in college (FTIC) students to graduate in three years, they must come with certain skills, abilities, plans, supports, or motivations. This project considers two distinct but interrelated ways of…
Descriptors: Graduation Rate, Time to Degree, College Credits, Grade Point Average
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Walker, Eddie G., II – Journal of Higher Education Policy and Management, 2016
The accountability of colleges and universities is a high priority for those making policy decisions. The purpose of this study was to determine institutional characteristics predicting retention rates, graduation rates and transfer-out rates using publicly available data from the US Department of Education. Using regression analysis, it was…
Descriptors: Higher Education, Predictive Measurement, Predictive Validity, Prediction
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Little, Daniel R.; Nosofsky, Robert M.; Denton, Stephen E. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2011
A recent resurgence in logical-rule theories of categorization has motivated the development of a class of models that predict not only choice probabilities but also categorization response times (RTs; Fific, Little, & Nosofsky, 2010). The new models combine mental-architecture and random-walk approaches within an integrated framework and…
Descriptors: Classification, Reaction Time, Stimuli, College Students
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Cresswell, Mike – Measurement: Interdisciplinary Research and Perspectives, 2010
Paul Newton (2010), with his characteristic concern about theory, has set out two different ways of thinking about the basis upon which equivalences of one sort or another are established between test score scales. His reason for doing this is a desire to establish "the defensibility of linkages lower on the continuum than concordance."…
Descriptors: Foreign Countries, Measurement Techniques, Psychometrics, Comparative Analysis
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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
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Newton, Paul E. – Measurement: Interdisciplinary Research and Perspectives, 2010
This article presents the author's rejoinder to thinking about linking from issue 8(1). Particularly within the more embracing linking frameworks, e.g., Holland & Dorans (2006) and Holland (2007), there appears to be a major disjunction between (1) classification discourse: the supposed basis for classification, that is, the underlying theory…
Descriptors: Foreign Countries, Measurement Techniques, Psychometrics, Comparative Analysis
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Walker, Michael E. – Measurement: Interdisciplinary Research and Perspectives, 2010
"Linking" is a term given to a general class of procedures by which one represents scores X on one test or measure in terms of scores Y on another test or measure. A recent taxonomy by Holland and Dorans (2006; Holland, 2007) organizes the various types of links into three broad categories: prediction, scale aligning, and equating. In…
Descriptors: Foreign Countries, Test Construction, Test Validity, Measurement Techniques
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von Davier, Alina A. – Measurement: Interdisciplinary Research and Perspectives, 2010
The article "Thinking About Linking" by Newton (2010) presents a novel philosophical perspective on the way that educational assessments should be linked. Newton starts by describing the linking framework as it was characterized in various publications and identifies a cross-cultural dimension in the definitions and uses of test…
Descriptors: Foreign Countries, Educational Assessment, Student Evaluation, Evaluation Criteria
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Milner, Joel S.; And Others – Journal of Consulting and Clinical Psychology, 1986
To provide cross-validation data for the Child Abuse Potential Inventory, classification rates were determined for 220 physical child abusers and matched control subjects. Using all protocols, a discriminant analysis indicated the Abuse scale correctly classified 85.4% of the subjects, with 82.7% of the abusers and 88.2% of the control subjects…
Descriptors: Child Abuse, Classification, High Risk Persons, Identification
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Lichtenstein, Robert – Journal of Learning Disabilities, 1981
Correlations between the two screening tests and between the screening and criterion measures were inconsistent with prediction rates based on classificational screening test scores. On the basis of correlational validity coefficients, relationships between measures in this study would have been overestimated. (Author/SBH)
Descriptors: Classification, Exceptional Child Research, Learning Disabilities, Predictive Measurement
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Gaskill, Pamela J.; Murphy, P. Karen – Contemporary Educational Psychology, 2004
This study investigated the mediating effects of learning a memory strategy on second-graders' performance of a memory task and their self-efficacy for the task. Specifically, second-graders were taught a strategy for organizing words into categories to increase their ability to remember lists of words. Their predictions of how many words they…
Descriptors: Memory, Grade 2, Self Efficacy, Cognitive Ability
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Huberty, Carl J.; And Others – Multivariate Behavioral Research, 1987
Three estimates of the probabilities of correct classification in predictive discriminant analysis were computed using mathematical formulas, resubstitution, and external analyses: (1) optimal hit rate; (2) actual hit rate; and (3) expected actual hit rate. Methods were compared using Monte Carlo sampling from two data sets. (Author/GDC)
Descriptors: Classification, Discriminant Analysis, Elementary Education, Estimation (Mathematics)
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