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 reviewedCramer, Elliot M.; Appelbaum, Mark I. – Review of Educational Research, 1978
Assuming conditional normality and independence, standard estimation and hypothesis testing procedures for regression coefficients are the same whether using fixed x values, random x values or mixed fixed and random values. Contrary to Sockloff's suggestion, polynomial regression is useful with either fixed or random models. (See EJ 142 050). (CP)
Descriptors: Error of Measurement, Mathematical Models, Multiple Regression Analysis, Research Reviews (Publications)
Peer reviewedWilliams, John D. – Multiple Linear Regression Viewpoints, 1979
Some of the more simplified methods for contrasts with equal sample sizes in multiple regression analysis are shown to result in erroneous calculations when applied to data sets with unequal sample sizes. An alternative method is provided. (Author/JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Multiple Regression Analysis, Research Methodology
Peer reviewedMorris, John D. – Educational and Psychological Measurement, 1979
Several advantages to the use of different kinds of factor scores as independent variables in a multiple regression equation are reported. A computer program is presented which will calculate a regression equation using a variety of factor scores. (Author/JKS)
Descriptors: Computer Programs, Factor Analysis, Multiple Regression Analysis, Program Descriptions
Peer reviewedSmith, Kent W.; Sasaki, M. S. – Sociological Methods and Research, 1979
A method is proposed for overcoming the problem of multicollinearity in multiple regression equations where multiplicative independent terms are entered. The method is not a ridge regression solution. (JKS)
Descriptors: Correlation, Hypothesis Testing, Mathematical Models, Multiple Regression Analysis
Peer reviewedGustafson, Charles R.; Michael, Joan J. – Educational and Psychological Measurement, 1976
Grade point average for a sample of graduate school of education students was more accurately predicted from undergraduate grade point average than from part of total scores on the Undergraduate Record Examination. However, the Advance Education examination of the Undergraduate Record Examination did improve the prediction equation. (Author/JKS)
Descriptors: College Entrance Examinations, Grades (Scholastic), Graduate Students, Multiple Regression Analysis
Peer reviewedWilliams, John Delane – Mid-Western Educational Researcher, 1996
Addresses the use of missing cells in longitudinal research. Gives a sample educational situation involving cohorts and grade levels and uses multiple linear regression for the solution. Discusses applications of longitudinal research wherein logically missing cells occur. (Author/SV)
Descriptors: Cohort Analysis, Educational Research, Longitudinal Studies, Models
Peer reviewedBrooks, Gordon P.; Barcikowski, Robert S. – Mid-Western Educational Researcher, 1996
Analyzes advantages and disadvantages of methods of selecting sample sizes in multiple regression. Discusses importance of cross-validity to prediction studies. Describes categories of sample size selection methods: cross-validation approaches, rules of thumb, and statistical power methods. Uses multiple examples to present the precision power…
Descriptors: Multiple Regression Analysis, Power (Statistics), Prediction, Predictive Validity
Peer reviewedKoski, Douglas D. – Journal of Correctional Education, 1996
Regression analysis of 40 years of data on median income, education, divorce rate, and female-headed households was conducted to determine their influence on crime rates, especially homicide. Educational attainment had a significant bearing on criminality. Single parenting was less significant than low income. (SK)
Descriptors: Crime, Educational Attainment, Family Influence, Fatherless Family
Peer reviewedKennedy, Eugene – Applied Psychological Measurement, 1988
A Monte Carlo study was conducted to examine the performance of several strategies for estimating the squared cross-validity coefficient of a sample regression equation in the context of best subset regression. Results concerning sample size effects and the validity of estimates are discussed. (TJH)
Descriptors: Estimation (Mathematics), Monte Carlo Methods, Multiple Regression Analysis, Predictive Validity
Peer reviewedHuberty, Carl J.; Petoskey, Martha D. – Journal of Vocational Education Research, 1999
Distinguishes between multiple correlation and multiple regression analysis. Illustrates suggested information reporting methods and reviews the use of regression methods when dealing with problems of missing data. (SK)
Descriptors: Correlation, Educational Research, Multiple Regression Analysis, Research Methodology
Peer reviewedHaj-Yahia, Muhammad M. – Journal of Family Issues, 1998
Husbands' beliefs regarding justifying wife beating, holding violent husbands responsible for their behavior, and blaming battered wives for violence against them are investigated among Palestinian men. Patriarchal ideology provides a conceptual framework for presentation and discussion of the findings from multiple regression analyses.…
Descriptors: Attitudes, Battered Women, Family Violence, Foreign Countries
Plach, Sandra K.; Napholz, Linda; Kelber, Sheryl T. – International Journal of Aging and Human Development, 2005
Depression in women with rheumatoid arthritis (RA) may be related to social role experiences, physical health, and age. The purpose of this study was to examine the social and health factors contributing to depression in two age groups of women with RA. One-hundred and thirty-eight midlife and late-life women with a diagnosis of RA participated in…
Descriptors: Physical Health, Females, Age Differences, Multiple Regression Analysis
DeGroot, Timothy – Social Indicators Research, 2006
Upon reviewing the extant literature on determinants of unionism, it becomes clear that many areas that have had a plethora of research attention do not converge upon singularly directional findings. This study explores a potential cause of such an apparent anomaly: nonlinearity of data. An exploratory examination of correlation coefficients among…
Descriptors: Correlation, Data Analysis, Network Analysis, Models
Greiman, Bradley C.; Addington, Leah S. – Journal of Leadership Education, 2008
Supported by Bandura's social cognitive theory, our study examined personal factors and environmental factors that impact adults' ability to assist youth in developing leadership. We introduce youth leadership development self-efficacy (YLD-SE) as a new construct for use in leadership research. A 7-item scale to measure YLD-SE was developed and…
Descriptors: Youth, Leadership Training, Self Efficacy, Models
Yeow, Paul H. P.; Yen Yuen, Yee; Connolly, Regina – Journal of Urban Technology, 2008
This study examined the factors that influence consumer satisfaction with mobile telephone use in Malaysia. The validity of the study's constructs, criterion, and content was confirmed. Construct validity was verified through the factor analysis with a total variance of 73.72 percent explained by all six independent factors. Content validity was…
Descriptors: Accidents, Content Validity, Construct Validity, Predictive Validity

Direct link
