Publication Date
| In 2026 | 0 |
| Since 2025 | 5 |
| Since 2022 (last 5 years) | 25 |
| Since 2017 (last 10 years) | 1102 |
| Since 2007 (last 20 years) | 3424 |
Descriptor
| Predictor Variables | 4025 |
| Statistical Analysis | 4025 |
| Foreign Countries | 1428 |
| Correlation | 1312 |
| Questionnaires | 893 |
| Regression (Statistics) | 852 |
| Academic Achievement | 699 |
| Gender Differences | 669 |
| Comparative Analysis | 560 |
| Multiple Regression Analysis | 560 |
| Student Attitudes | 543 |
| More ▼ | |
Source
Author
| Goldhaber, Dan | 9 |
| Theobald, Roddy | 8 |
| McIntosh, Kent | 7 |
| Huberty, Carl J. | 6 |
| Mercer, Sterett H. | 6 |
| Xu, Jianzhong | 6 |
| Borich, Gary D. | 5 |
| Martin, Andrew J. | 5 |
| Mattern, Krista D. | 5 |
| McNamara, Danielle S. | 5 |
| Pohlmann, John T. | 5 |
| More ▼ | |
Publication Type
Education Level
Audience
| Researchers | 34 |
| Practitioners | 19 |
| Teachers | 13 |
| Administrators | 12 |
| Policymakers | 9 |
| Counselors | 2 |
| Students | 2 |
Location
| Turkey | 227 |
| Australia | 95 |
| Canada | 80 |
| California | 77 |
| Germany | 75 |
| Texas | 62 |
| Florida | 59 |
| United States | 56 |
| Netherlands | 54 |
| Spain | 53 |
| China | 44 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 4 |
| Meets WWC Standards with or without Reservations | 6 |
| Does not meet standards | 6 |
Peer reviewedBivin, David; Rooney, Patrick Michael – Research in Higher Education, 1999
This study used Tobit analysis to estimate retention probabilities and credit hours at two universities. Tobit was judged as appropriate for this problem because it recognizes the lower bound of zero on credit hours and incorporates this bound into parameter estimates and forecasts. Models are estimated for credit hours in a single year and…
Descriptors: Academic Persistence, College Credits, Dropout Research, Dropouts
Serlin, Ronald C.; Harwell, Michael R. – Psychological Methods, 2004
It is well-known that for normally distributed errors parametric tests are optimal statistically, but perhaps less well-known is that when normality does not hold, nonparametric tests frequently possess greater statistical power than parametric tests, while controlling Type I error rate. However, the use of nonparametric procedures has been…
Descriptors: Multiple Regression Analysis, Monte Carlo Methods, Nonparametric Statistics, Error Patterns
Penney, Catherine G.; Godsell, Annette; Scott, Annette; Balsom, Rod – Journal of Creative Behavior, 2004
Three studies sought to determine whether incubation effects could be reliably generated in a problem-solving task. Experimental variables manipulated were the duration of the interval between two problem-solving opportunities and the activity performed by the problem solvers during the interval. A multisolution anagram task was used which…
Descriptors: Priming, Intervals, Problem Solving, Creative Thinking
Ramos-Alvarez, M. M.; Catena, A. – Psicologica: International Journal of Methodology and Experimental Psychology, 2005
In the predictive learning and causal reasoning literature it has been suggested that the processing of events is under the control of a competitive mechanism. However, little is known about whether the competitive mechanism operates at the encoding or near the response stages. The present work suggests that measures based on the recall of…
Descriptors: Competition, Statistical Analysis, Stimuli, Predictor Variables
Pounder, Diana G.; Crow, Gary M.; Bergerson, Amy Aldous – Journal of School Leadership, 2004
This survey research study uses job choice theory to assess recent educational leadership doctoral graduates' perceptions of the desirability of the educational administration professorate. Results reveal attractive and unattractive aspects of professorial work as well as those job attributes that are most strongly related to candidates'…
Descriptors: Educational Administration, Instructional Leadership, College Faculty, Teaching (Occupation)
Puzziferro, Maria – American Journal of Distance Education, 2008
This study was designed to examine performance as a function of grade and course satisfaction in online undergraduate level courses, specifically students' self-efficacy for online technologies and self-regulated learning strategies. This research included a sample (N = 815) of community college students enrolled in liberal arts online courses…
Descriptors: Self Efficacy, Online Courses, Learning Strategies, Program Effectiveness
Establishing Rehabilitation Research Priorities for the National Council on Rehabilitation Education
Schultz, Jared C.; Koch, Lynn C.; Kontosh, Larry G. – Rehabilitation Education, 2007
NCRE members were surveyed regarding the relative importance of eight broad research areas as well as 67 research topics. Results indicate that Rehabilitation Interventions and Rehabilitation Outcomes are research categories that should receive the most attention. Self-report evaluations regarding level of proficiency to conduct qualitative and…
Descriptors: Qualitative Research, Statistical Analysis, Rehabilitation Programs, Research Needs
Barnes, Shontier Prescott – ProQuest LLC, 2009
The primary purpose of this study was to examine significant differences, if any, in student achievement in the area of math and science of students taught by traditionally certified teachers and alternatively certified teachers. This study examined alternatively certified teachers, as identified from through the Georgia TAPP (Teacher Alternative…
Descriptors: Teacher Education, Academic Achievement, Rural Schools, Secondary Education
Peer reviewedBruno, James Edward; Nelkin, Ira – Educational Planning, 1975
The logit methodology provides a unique way of examining input-output relationships for social systems where the principal output of the analysis is a probability of some action or state. (Author)
Descriptors: Discriminant Analysis, Educational Planning, Educational Policy, Elementary Secondary Education
Wolfle, Lee M. – 1982
Direct and indirect effects in decomposed zero-order correlations among variables in causal models are considered. Under certain circumstances, the components of the decompositions could be interpreted as direct, indirect, and spurious causal effects, plus a component called joint associations. The sum of the direct and indirect effects is the…
Descriptors: Elementary Secondary Education, Estimation (Mathematics), Mathematical Formulas, Mathematical Models
Peer reviewedGross, Alan L.; And Others – Educational and Psychological Measurement, 1974
Descriptors: Academic Achievement, College Students, Females, Grade Point Average
PDF pending restorationBrown, Ric; Carbonari, Joseph P. – 1977
Identification and explication of construct relationships, under conditions of extraneous variable control in multiple regression and its multivariate analog, canonical analysis, were studied. Several data models were generated as a function of the interaction of partial correlation and orthogonal linear transformations on nursing examination…
Descriptors: Correlation, Factor Analysis, Mathematical Models, Multiple Regression Analysis
Godbout, Robert C. – 1975
Exploratory research with large numbers of variables and even larger numbers of relationships is likely to result in frequent Type II errors; that is falsely accepting an incorrect null hypotheses. There are three ways of reducing Type II errors: (1) choosing a lower significance level, which then increases the probability of Type I error; (2)…
Descriptors: Aptitude Treatment Interaction, Educational Experiments, Educational Research, Predictor Variables
Lysakowski, Richard S.; Walberg, Herbert J. – 1980
To estimate the influence of positive reinforcement on classroom learning, the authors analyzed statistical data from 39 studies spanning the years 1958-1978 and containing a combined sample of 4,842 students in 202 classes. Twenty-nine characteristics of each study's sample, methodology, and reliability were coded to measure their effects on…
Descriptors: Academic Achievement, Educational Research, Elementary Secondary Education, Learning Motivation
Pohlmann, John T. – 1979
Three procedures used to control Type I error rate in stepwise regression analysis are forward selection, backward elimination, and true stepwise. In the forward selection method, a model of the dependent variable is formed by choosing the single best predictor; then the second predictor which makes the strongest contribution to the prediction of…
Descriptors: Computer Programs, Error Patterns, Mathematical Models, Multiple Regression Analysis

Direct link
