Publication Date
| In 2026 | 0 |
| Since 2025 | 4 |
| Since 2022 (last 5 years) | 24 |
| Since 2017 (last 10 years) | 1101 |
| Since 2007 (last 20 years) | 3423 |
Descriptor
| Predictor Variables | 4024 |
| Statistical Analysis | 4024 |
| Foreign Countries | 1428 |
| Correlation | 1312 |
| Questionnaires | 893 |
| Regression (Statistics) | 851 |
| 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 |
Elmore, Patricia B.; Pohlmann, John T. – 1976
This study was conducted to determine if student evaluations of faculty are affected by the characteristics of the teacher, the student, and the class. Each instructor was asked to answer questions indicating personal warmth, professorial rank, years of teaching experience, sex, and class size. Students were asked to complete the Instructional…
Descriptors: Class Size, College Faculty, College Students, Core Curriculum
Peng, Samuel S. – 1975
This paper was intended to promote a deeper understanding of a statistical method called balancing developed by National Assessment of Educational Progress. Problems in estimating main effects when populations are disproportionate, balancing solutions to these problems, methods equivalent to balancing, interpretation of balanced results, and some…
Descriptors: Analysis of Variance, Comparative Analysis, Cultural Differences, Groups
Conger, Anthony J.; Jackson, Douglas N. – 1970
The suppressor variable, a variable wholly uncorrelated with a criterion, but which nevertheless improves prediction because of its relationship with a predictor, is critically examined. For a suppressor so defined, formal identities are shown with part, partial, and multiple correlational procedures. It is demonstrated that if maximum prediction…
Descriptors: Analysis of Variance, Correlation, Criteria, Mathematical Concepts
Crowder, N. David – 1971
Duncan's interpretation of his research on the nature and process of the distribution of rewards in the U.S. stratification system is questioned. Statistical and conceptual flaws are noted in Duncan's work and their implications explored. A reanalysis of primary survey data is presented and, based on a reinterpretation of this data, a…
Descriptors: Academic Achievement, Data Analysis, Doctoral Dissertations, Economic Research
Kleinke, David J. – 1971
Change Group Analysis is suggested as a technique for examining the correlates of the differential effects of a compensatory education program within the group of enrolled pupils. It is based on using pretest-posttest relative changes for forming criterion groups and then using multiple disciminant analysis to uncover patterns of predictor…
Descriptors: Academic Achievement, Analysis of Covariance, Change, Compensatory Education
Darr, Alice Dozier – 1973
The purposes of this study were (1) to provide an objective description of the supervisor-teacher conference behavior in a micro-teaching situation, (2) to determine the combinations of teacher and supervisor characteristics that predict conference behavior and conference effectiveness, and (3) to determine the supervisor characteristics that…
Descriptors: Behavior Change, Behavior Patterns, Conferences, Educational Research
Ward, William C.; Warren Patricia A. – 1971
Creative products submitted in response to a contest were examined to discover whether creativity was related to the sex and socioeconomic status of the respondent and whether characteristics of the objects could be specified which would predict their level of rated creativity. No sex difference was found, but socioeconomic status was…
Descriptors: Correlation, Creativity, Creativity Research, Difficulty Level
Pedrini, Bonnie C.; Pedrini, D. T.
The study investigated the prediction of grade point average (GPA) for disadvantaged and regular freshmen at the University of Nebraska at Omaha, and the effectiveness, in terms of GPA, of an experimental program for disadvantaged students. Descriptive, variance, and correlational (single and multiple) analyses and chi square analyses related…
Descriptors: Black Students, College Entrance Examinations, College Freshmen, Disadvantaged Youth
Peer reviewedYunker, James A. – Crime and Delinquency, 1982
Reviews several potential problems that often invalidate statistical tests of social theories. Discusses how there may be very serious identification problems in the estimation of the relationship between executions and homicides, and that serious questions may be raised regarding the validity of any particular estimation of this relationship.…
Descriptors: Capital Punishment, Identification, Information Needs, Models
Peer reviewedMead, Arthur C. – Journal of Economic Education, 1998
Describes class exercises where undergraduates construct and test mathematical models using data and issues related to social security. The students collect data and forecast economic and demographic variables that determine future tax rates. They then discuss government policies that are derived from their models. (MJP)
Descriptors: Cost Effectiveness, Data Analysis, Economics, Economics Education
Peer reviewedLang, Gale; And Others – Youth and Society, 1988
Examines variables used to predict the academic success or failure of college football players. Valid predictors include the following: (1) high school grades; (2) repeating a year in school; (3) feelings towards school; (4) discipline history; (5) mother's education; and (6) high school background. (FMW)
Descriptors: Academic Achievement, Academic Failure, Athletes, College Athletics
Peer reviewedAmin, Martin E. – Assessment and Evaluation in Higher Education, 1993
This study investigated the relationship between specific teacher evaluation items and course rating by students (n=1,064) at the University of Yaounde (Cameroon). Results suggest variables (such as student increase in interest during the course, overall course organization, and student perceptions of what they are gaining) are most predictive of…
Descriptors: Beliefs, College Faculty, Course Evaluation, Faculty Evaluation
DeMarie, Darlene; Miller, Patricia H.; Ferron, John; Cunningham, Walter R. – Journal of Cognition and Development, 2004
Path analysis was used to test theoretical models of relations among variables known to predict differences in children's memory--strategies, capacity, and metamemory. Children in kindergarten to fourth grade (chronological ages 5 to 11) performed different memory tasks. Several strategies (i.e., sorting, clustering, rehearsal, and self-testing)…
Descriptors: Foreign Countries, Children, Path Analysis, Models
Collazo, Andres A. – Journal of HIV/AIDS Prevention in Children & Youth, 2004
Predictors of intention to abstain from sexual intercourse or use condoms consistently with both main and other partners were investigated in 431 Puerto Rican high school students. The basis for this study was the theories of reasoned action (TRA) and planned behavior (TPB), and two predictors from the theory of interpersonal behavior (TIB). As…
Descriptors: Behavior Theories, Self Efficacy, Intention, Adolescents
McCoach, D. Betsy – Journal for the Education of the Gifted, 2003
Structural equation modeling (SEM) refers to a family of statistical techniques that explores the relationships among a set of variables. Structural equation modeling provides an extremely versatile method to model very specific hypotheses involving systems of variables, both measured and unmeasured. Researchers can use SEM to study patterns of…
Descriptors: Gifted, Structural Equation Models, Factor Analysis, Enrichment

Direct link
