Publication Date
| In 2026 | 1 |
| Since 2025 | 81 |
| Since 2022 (last 5 years) | 581 |
| Since 2017 (last 10 years) | 1770 |
| Since 2007 (last 20 years) | 4890 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Teachers | 392 |
| Practitioners | 378 |
| Researchers | 112 |
| Students | 29 |
| Policymakers | 17 |
| Administrators | 13 |
| Parents | 9 |
| Counselors | 8 |
| Community | 1 |
| Media Staff | 1 |
Location
| Australia | 133 |
| California | 92 |
| Canada | 87 |
| United States | 85 |
| Germany | 82 |
| Florida | 80 |
| Texas | 73 |
| Turkey | 68 |
| United Kingdom | 61 |
| New York | 52 |
| United Kingdom (England) | 52 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 4 |
| Meets WWC Standards with or without Reservations | 13 |
| Does not meet standards | 13 |
Shapiro, Joel; Bray, Christopher – Continuing Higher Education Review, 2011
This article describes a model that can be used to analyze student enrollment data and can give insights for improving retention of part-time students and refining institutional budgeting and planning efforts. Adult higher-education programs are often challenged in that part-time students take courses less reliably than full-time students. For…
Descriptors: Higher Education, Adult Students, Part Time Students, Enrollment Trends
Yan, Yan – ProQuest LLC, 2009
The study measures farm credit risk by using farm records collected by Farm Business Farm Management (FBFM) during the period 1995-2004. The study addresses the following questions: (1) whether farm's financial position is fully described by the structure model, (2) what are the determinants of farm capital structure under the structure model, (3)…
Descriptors: Farm Management, Agricultural Production, Credit (Finance), Risk
Nilsson, Hakan; Winman, Anders; Juslin, Peter; Hansson, Goran – Journal of Experimental Psychology: General, 2009
This article explores the configural weighted average (CWA) hypothesis suggesting that extension biases, like conjunction and disjunction errors, occur because people estimate compound probabilities by taking a CWA of the constituent probabilities. The hypothesis suggests a process consistent with well-known cognitive constraints, which…
Descriptors: Experimental Psychology, Prediction, Probability, Bias
Halderman, Brent L.; Eyman, James R.; Kerner, Lisa; Schlacks, Bill – Suicide and Life-Threatening Behavior, 2009
A three-stage paradigm for telephonically assessing suicidal risk and triaging suicidal callers as practiced in an Employee Assistance Program Call Center was investigated. The first hypothesis was that the use of the procedure would increase the probability that callers would accept the clinician's recommendations, evidenced by fewer police…
Descriptors: Employee Assistance Programs, Suicide, Probability, Telecommunications
Baker, Rachel E.; Bradlow, Ann R. – Language and Speech, 2009
This article examines how probability (lexical frequency and previous mention), speech style, and prosody affect word duration, and how these factors interact. Participants read controlled materials in clear and plain speech styles. As expected, more probable words (higher frequencies and second mentions) were significantly shorter than less…
Descriptors: Speech Communication, Articulation (Speech), Probability, Reading Aloud to Others
Corner, Adam; Hahn, Ulrike – Journal of Experimental Psychology: Applied, 2009
Public debates about socioscientific issues are increasingly prevalent, but the public response to messages about, for example, climate change, does not always seem to match the seriousness of the problem identified by scientists. Is there anything unique about appeals based on scientific evidence--do people evaluate science and nonscience…
Descriptors: Bayesian Statistics, Climate, Experiments, Persuasive Discourse
Lykourentzou, Ioanna; Giannoukos, Ioannis; Nikolopoulos, Vassilis; Mpardis, George; Loumos, Vassili – Computers & Education, 2009
In this paper, a dropout prediction method for e-learning courses, based on three popular machine learning techniques and detailed student data, is proposed. The machine learning techniques used are feed-forward neural networks, support vector machines and probabilistic ensemble simplified fuzzy ARTMAP. Since a single technique may fail to…
Descriptors: Dropouts, Prediction, Teaching Methods, Distance Education
Cruce, Ty M. – Research in Higher Education, 2009
This methodological note illustrates how a commonly used calculation of the Delta-p statistic is inappropriate for categorical independent variables, and this note provides users of logistic regression with a revised calculation of the Delta-p statistic that is more meaningful when studying the differences in the predicted probability of an…
Descriptors: Higher Education, Institutional Research, Educational Research, Research Methodology
Herscovitch, Brandon; Roscoe, Eileen M.; Libby, Myrna E.; Bourret, Jason C.; Ahearn, William H. – Journal of Applied Behavior Analysis, 2009
We describe a procedure for differentiating among potential precursor responses for use in a functional analysis. Conditional probability analysis of descriptive assessment data identified three potential precursors. Results from the indirect assessment corresponded with those obtained from the descriptive assessment. The top-ranked response…
Descriptors: Functional Behavioral Assessment, Data Analysis, Probability, Behavior Problems
Liu, Ou Lydia; Wilson, Mark – International Journal of Testing, 2009
Differential gender performance in standardized mathematics assessment has long been a heated topic. Gender gaps of varied magnitude have been identified on large-scale assessments in the United States. To continue the investigation, this study examined male and female performance on the Programme for International Student Assessment (PISA) 2003…
Descriptors: Foreign Countries, Probability, Gender Differences, Standardized Tests
Bodea, Constanta Nicoleta; Dascalu, Mariana Iuliana – Journal of Applied Quantitative Methods, 2009
The authors propose a risks evaluation model for research projects. The model is based on fuzzy inference. The knowledge base for fuzzy process is built with a causal and cognitive map of risks. The map was especially developed for research projects, taken into account their typical lifecycle. The model was applied to an e-testing research…
Descriptors: Risk, Research Projects, Inferences, Models
Cragg, Kristina M. – Research in Higher Education, 2009
The purpose of this study is to identify student and institutional characteristics that influence the probability for graduation. The study delves further into the probability for graduation by examining how far the student deviates from the institutional mean with respect to academics and affordability; this concept is referred to as the "match."…
Descriptors: Graduation, Institutional Characteristics, Multivariate Analysis, Probability
Evans, Julia L.; Saffran, Jenny R.; Robe-Torres, Kathryn – Journal of Speech, Language, and Hearing Research, 2009
Purpose: In this study, the authors examined (a) whether children with specific language impairment (SLI) can implicitly compute the probabilities of adjacent sound sequences, (b) if this ability is related to degree of exposure, (c) if it is domain specific or domain general and, (d) if it is related to vocabulary. Method: Children with SLI and…
Descriptors: Control Groups, Language Impairments, Vocabulary Development, Probability
Hall, Steven T.; Post, Christopher J. – Journal of Natural Resources and Life Sciences Education, 2009
Knowledge of Geographic Information Systems is quickly becoming an integral part of the natural resource professionals' skill set. With the growing need of professionals with these skills, we created an advanced geographic information systems (GIS) exercise for students at Clemson University to introduce them to the concept of error analysis,…
Descriptors: Geographic Information Systems, Models, Feedback (Response), Assignments
Horrocks, Erin L.; Morgan, Robert L. – Research in Developmental Disabilities: A Multidisciplinary Journal, 2009
The authors compare two methods of identifying job preferences for individuals with significant intellectual disabilities. Three individuals with intellectual disabilities between the ages of 19 and 21 participated in a video-based preference assessment and a multiple stimulus without replacement (MSWO) assessment. Stimulus preference assessment…
Descriptors: Stimuli, Mental Retardation, Developmental Disabilities, Probability

Peer reviewed
Direct link
