Publication Date
| In 2026 | 0 |
| Since 2025 | 3 |
| Since 2022 (last 5 years) | 39 |
| Since 2017 (last 10 years) | 1067 |
| Since 2007 (last 20 years) | 4718 |
Descriptor
Source
Author
| Newman, Isadore | 12 |
| Morris, John D. | 11 |
| Williams, John D. | 10 |
| Braten, Ivar | 9 |
| Huberty, Carl J. | 9 |
| Onwuegbuzie, Anthony J. | 9 |
| Trautwein, Ulrich | 9 |
| Leong, Che Kan | 8 |
| Nagengast, Benjamin | 7 |
| Soria, Krista M. | 7 |
| Thompson, Bruce | 7 |
| More ▼ | |
Publication Type
Education Level
Audience
| Researchers | 132 |
| Practitioners | 48 |
| Teachers | 22 |
| Administrators | 21 |
| Policymakers | 19 |
| Counselors | 8 |
| Community | 2 |
| Media Staff | 2 |
| Students | 2 |
Location
| Turkey | 290 |
| Australia | 142 |
| Canada | 127 |
| California | 116 |
| Texas | 114 |
| United States | 96 |
| China | 88 |
| Nigeria | 88 |
| Taiwan | 88 |
| Florida | 82 |
| South Korea | 76 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 4 |
| Meets WWC Standards with or without Reservations | 5 |
| Does not meet standards | 9 |
Peer reviewedEyman, Richard K.; And Others – Educational and Psychological Measurement, 1973
Descriptors: Multiple Regression Analysis, Predictive Measurement, Predictive Validity, Test Reliability
Peer reviewedBurrill, Donald F. – Curriculum Theory Network, 1973
Explains some of the implied assumptions about the nature of goals as things among which persons may reasonably choose or about the behavior of personal preferences or both -- inherent in proposed approaches to the selection and definition of instructional goals by Grotelueschen and Gooler (CTN; Nos. 8-9, pp7-21 1971-72). Argues that an…
Descriptors: Curriculum Development, Educational Objectives, Goal Orientation, Multiple Regression Analysis
Peer reviewedStewart, Thomas R. – Educational and Psychological Measurement, 1973
Paper presents an example of the use of the linear model for attitude measurement emphasizing the validation of the regression weights by comparing them with traditional and more direct measures of attitude. (Author)
Descriptors: Attitude Measures, Mathematical Models, Measurement Techniques, Multiple Regression Analysis
Peer reviewedWerts, Charles E.; And Others – Educational and Psychological Measurement, 1973
Perspective on article by P. Isaac published in the Psychological Bulletin, 1970, 74, 213-18. (CB)
Descriptors: Analysis of Covariance, Error of Measurement, Mathematical Models, Measurement Techniques
Peer reviewedLerman, Robert I. – Journal of Human Resources, 1972
Descriptors: Attendance, Attendance Patterns, Educational Background, Employment Opportunities
Peer reviewedGujarati, Damodar; Dars, Lewis – Industrial and Labor Relations Review, 1972
Descriptors: Employment Patterns, Labor Force, Labor Utilization, Manufacturing Industry
Peer reviewedGujarati, Damodar; Dars, Lewis – Industrial and Labor Relations Review, 1972
Descriptors: Employment Patterns, Labor Force, Labor Utilization, Manufacturing Industry
Clemens, Bryan; And Others – Educ Psychol Meas, 1970
Multiple discriminant function analysis is used to locate differences in inventoried interests among a selected engineering sample. This technique is an effective statistical procedure for discriminating among occupational groups where data similar to that analyzed in the article are available. (Author/CK)
Descriptors: Curriculum, Engineers, Groups, Multiple Regression Analysis
Peer reviewedGoldberger, Arthur S. – Psychometrika, 1971
Several themes which are common to both econometrics and psychometrics are surveyed. The themes are illustrated by reference to permanent income hypotheses, simultaneous equation models, adaptive expectations and partial adjustment schemes, and by reference to test score theory, factor analysis, and time-series models. (Author)
Descriptors: Economics, Factor Analysis, Mathematical Models, Multiple Regression Analysis
Dyer, Henry S. – Phi Delta Kappan, 1970
By ascertaining student achievement levels both at admission and at the time the student leaves a school, and by comparing these two scores, a school effectiveness index can be formulated. (RA)
Descriptors: Accountability, Cost Effectiveness, Educational Facilities Improvement, Educational Responsibility
Peer reviewedRozeboom, William W. – Journal of Educational Statistics, 1981
Browne's definitive but complex formulas for the cross-validational accuracy of an OSL-estimated regression equation in the random-effects sampling model are here reworked to achieve greater perspicuity and extended to include the fixed-effects sampling model. (Author)
Descriptors: Least Squares Statistics, Mathematical Models, Multiple Regression Analysis, Research Design
Peer reviewedKippel, Gary – New Directions for Program Evaluation, 1981
Statistical techniques for identifying exceptional school progress are outlined and illustrated. Regression analyses using two sets of test scores are suggested as a preliminary indicator. These techniques would be useful to school administrators. School progress is best measured by criterion referenced tests rather than norm referenced tests.…
Descriptors: Academic Achievement, Institutional Evaluation, Multiple Regression Analysis, Regression (Statistics)
Peer reviewedColes, Gary J. – Multiple Linear Regression Viewpoints, 1979
This paper discusses how full model dummy variables can be used with partial correlation or multiple regression procedures to compute matrices of pooled within-group correlations. (Author/CTM)
Descriptors: Correlation, Matrices, Multiple Regression Analysis, Predictor Variables
Peer reviewedErbring, Lutz; Young, Alice A. – Sociological Methods and Research, 1979
Treatments of contextual effects in the social science literature have traditionally focused on statistical phenomena more than on social processes. This article seeks to redress that imbalance by focusing on underlying processes through which social structure and social interaction may impinge upon individuals. (Author/JKS)
Descriptors: Context Effect, Mathematical Models, Multiple Regression Analysis, Social Relations
Peer reviewedMolnar, Joseph J.; Rogers, David L. – Administrative Science Quarterly, 1979
Develops a model of interorganizational conflict (both structural, which involves rules that govern a relationship, and operating, which involves the interpretation and application of such rules) that incorporates key aspects of the organizational interface, explaining conflict on the basis of similarities and differences among the interacting…
Descriptors: Agency Role, Community Organizations, Conflict, Models


