NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 5 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Morse, Brendan J.; Johanson, George A.; Griffeth, Rodger W. – Applied Psychological Measurement, 2012
Recent simulation research has demonstrated that using simple raw score to operationalize a latent construct can result in inflated Type I error rates for the interaction term of a moderated statistical model when the interaction (or lack thereof) is proposed at the latent variable level. Rescaling the scores using an appropriate item response…
Descriptors: Item Response Theory, Multiple Regression Analysis, Error of Measurement, Models
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Williams, Matt N.; Gomez Grajales, Carlos Alberto; Kurkiewicz, Dason – Practical Assessment, Research & Evaluation, 2013
In 2002, an article entitled "Four assumptions of multiple regression that researchers should always test" by Osborne and Waters was published in "PARE." This article has gone on to be viewed more than 275,000 times (as of August 2013), and it is one of the first results displayed in a Google search for "regression…
Descriptors: Multiple Regression Analysis, Misconceptions, Reader Response, Predictor Variables
Peer reviewed Peer reviewed
Direct linkDirect link
Travis, Cheryl B.; Gross, Louis J.; Johnson, Bruce A. – Psychology of Women Quarterly, 2009
This article provides a short introduction to standard considerations in the formal study of wages and illustrates the use of multiple regression and resampling simulation approaches in a case study of faculty salaries at one university. Multiple regression is especially beneficial where it provides information on strength of association, specific…
Descriptors: Case Studies, Salary Wage Differentials, Gender Differences, College Faculty
Peer reviewed Peer reviewed
Direct linkDirect link
Woods, Carol M. – Applied Psychological Measurement, 2009
Differential item functioning (DIF) occurs when items on a test or questionnaire have different measurement properties for one group of people versus another, irrespective of group-mean differences on the construct. Methods for testing DIF require matching members of different groups on an estimate of the construct. Preferably, the estimate is…
Descriptors: Test Results, Testing, Item Response Theory, Test Bias
Peer reviewed Peer reviewed
Direct linkDirect link
Lei, Pui-Wa; Chen, Shu-Ying; Yu, Lan – Journal of Educational Measurement, 2006
Mantel-Haenszel and SIBTEST, which have known difficulty in detecting non-unidirectional differential item functioning (DIF), have been adapted with some success for computerized adaptive testing (CAT). This study adapts logistic regression (LR) and the item-response-theory-likelihood-ratio test (IRT-LRT), capable of detecting both unidirectional…
Descriptors: Evaluation Methods, Test Bias, Computer Assisted Testing, Multiple Regression Analysis