FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W160643078> ?p ?o ?g. }

• W160643078 abstract "This Monte Carlo study explored relationships among standard and unstandardized regression coefficients, structural coefficients, multiple R_ squared, and significance level of predictors for a variety of linear regression scenarios. Ten regression models with three predictors were included, and four conditions were varied that were expected to have influences on the relationship under investigation: (1) magnitude of direct effect from predictors to the outcome variable; (2) colinearity; (3) sample sizes; and (4) model misspecification. Results show that regression parameter estimates behave differently under influences of strength of direct effect of predictors, sample size, and collinearity conditions. Although all the parameter estimates are sensitive to variations of strengths of predictors' effects, some parameter estimates are vulnerable to variations of sample size and collinearity conditions. Standard regression coefficients Beta exhibit the best performance under these specific conditions. Structural coefficients, on the other hand, show relatively less sensitivity to variations of strength of direct effect of predictors, and are very vulnerable to collinearity conditions. R_Squared issensitive to strength of direct effect of predictors; it is vulnerable somewhat to collinearity conditions. Significance level of predictors is most sensitive to variations of strength of direct effect of predictors than structural coefficients; meanwhile,'it is largely vulnerable to sample size and somewhat vulnerable to collinearity conditions. One appendix contains 10 models, and the other contains the study tables. (Contains 10 figures (models), 17 tables, and 6 references.) (Author/SLD) Reproductions supplied by EDRS are the best that can be made from the original document. PERMISSION TO REPRODUCE AND DISSEMINATE THIS MATERIAL HAS BEEN GRANTED BY TO THE EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) U.S. DEPARTMENT OF EDUCATION Office of Educational Research and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) This document has been reproduced as received from the person or organization originating it. 1:1 Minor changes have been made to improve reproduction quality. e Points of view or opinions stated in this document do not necessarily represent official OERI position or policy. Understanding and Interpreting Regression Parameter Estimates in Given Contexts: A Monte Carlo Study of Characteristics of Regression and Structual Coefficients, Effect Size R Squared and Significance Level of Predictors Ying Hong Jiang, Azusa Pacific University Philip L. Smith, University of Wisconsin-Milwaukee Paper Presented at American Educational Research Association Annual Meeting, 2002, New Orleans 2 3337 COPY AVAIILA 1" @default.
• W160643078 created "2016-06-24" @default.
• W160643078 creator A5065318875 @default.
• W160643078 creator A5072009484 @default.
• W160643078 date "2002-04-01" @default.
• W160643078 modified "2023-09-27" @default.
• W160643078 title "Understanding and Interpreting Regression Parameter Estimates in Given Contexts: A Monte Carlo Study of Characteristics of Regression and Structural Coefficients, Effect Size R Squared and Significance Level of Predictors." @default.
• W160643078 cites W1484864026 @default.
• W160643078 cites W1557591406 @default.
• W160643078 hasPublicationYear "2002" @default.
• W160643078 type Work @default.
• W160643078 sameAs 160643078 @default.
• W160643078 citedByCount "1" @default.
• W160643078 countsByYear W1606430782013 @default.
• W160643078 crossrefType "journal-article" @default.
• W160643078 hasAuthorship W160643078A5065318875 @default.
• W160643078 hasAuthorship W160643078A5072009484 @default.
• W160643078 hasConcept C105795698 @default.
• W160643078 hasConcept C106192678 @default.
• W160643078 hasConcept C129848803 @default.
• W160643078 hasConcept C149782125 @default.
• W160643078 hasConcept C152877465 @default.
• W160643078 hasConcept C19499675 @default.
• W160643078 hasConcept C33923547 @default.
• W160643078 hasConcept C48921125 @default.
• W160643078 hasConcept C83546350 @default.
• W160643078 hasConceptScore W160643078C105795698 @default.
• W160643078 hasConceptScore W160643078C106192678 @default.
• W160643078 hasConceptScore W160643078C129848803 @default.
• W160643078 hasConceptScore W160643078C149782125 @default.
• W160643078 hasConceptScore W160643078C152877465 @default.
• W160643078 hasConceptScore W160643078C19499675 @default.
• W160643078 hasConceptScore W160643078C33923547 @default.
• W160643078 hasConceptScore W160643078C48921125 @default.
• W160643078 hasConceptScore W160643078C83546350 @default.
• W160643078 hasLocation W1606430781 @default.
• W160643078 hasOpenAccess W160643078 @default.
• W160643078 hasPrimaryLocation W1606430781 @default.
• W160643078 hasRelatedWork W1157642951 @default.
• W160643078 hasRelatedWork W1485147006 @default.
• W160643078 hasRelatedWork W1486049090 @default.
• W160643078 hasRelatedWork W1508473687 @default.
• W160643078 hasRelatedWork W1520655516 @default.
• W160643078 hasRelatedWork W1587449398 @default.
• W160643078 hasRelatedWork W1603659225 @default.
• W160643078 hasRelatedWork W1880463651 @default.
• W160643078 hasRelatedWork W1981767511 @default.
• W160643078 hasRelatedWork W1982415000 @default.
• W160643078 hasRelatedWork W2003143266 @default.
• W160643078 hasRelatedWork W2075782060 @default.
• W160643078 hasRelatedWork W2079845709 @default.
• W160643078 hasRelatedWork W2091906549 @default.
• W160643078 hasRelatedWork W2108259061 @default.
• W160643078 hasRelatedWork W2113347646 @default.
• W160643078 hasRelatedWork W2118666563 @default.
• W160643078 hasRelatedWork W2351548137 @default.
• W160643078 hasRelatedWork W2584211670 @default.
• W160643078 hasRelatedWork W3122029381 @default.
• W160643078 isParatext "false" @default.
• W160643078 isRetracted "false" @default.
• W160643078 magId "160643078" @default.
• W160643078 workType "article" @default.