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Schluchter, Mark D. – Multivariate Behavioral Research, 2008
In behavioral research, interest is often in examining the degree to which the effect of an independent variable X on an outcome Y is mediated by an intermediary or mediator variable M. This article illustrates how generalized estimating equations (GEE) modeling can be used to estimate the indirect or mediated effect, defined as the amount by…
Descriptors: Intervals, Predictor Variables, Equations (Mathematics), Computation
Dolton, Peter J.; Silles, Mary A. – Economics of Education Review, 2008
This paper uses a new survey of graduates from one large civil university in the UK to examine the determinants of over-education and its subsequent impact on labour market earnings. Multiple measurements of over-education were collected to assess the effect of measurement error on the estimated pay penalty associated with over-education. Panel…
Descriptors: Labor Market, Measurement, Error of Measurement, Graduate Surveys
Bowden, Stephen C.; Weiss, Lawrence G.; Holdnack, James A.; Bardenhagen, Fiona J.; Cook, Mark J. – Assessment, 2008
A psychological measurement model provides an explicit definition of (a) the theoretical and (b) the numerical relationships between observed scores and the latent variables that underlie the observed scores. Examination of the metric invariance of a measurement model involves testing the hypothesis that all components of the model relating…
Descriptors: Measurement Techniques, Foreign Countries, Cognitive Ability, Scores
Setzer, J. Carl – GED Testing Service, 2009
The GED[R] English as a Second Language (GED ESL) Test was designed to serve as an adjunct to the GED test battery when an examinee takes either the Spanish- or French-language version of the tests. The GED ESL Test is a criterion-referenced, multiple-choice instrument that assesses the functional, English reading skills of adults whose first…
Descriptors: Language Tests, High School Equivalency Programs, Psychometrics, Reading Skills
Briggs, Derek C. – National Association for College Admission Counseling, 2009
This discussion paper represents one of the National Association for College Admission Counseling's (NACAC's) first post-Testing Commission steps in advancing the knowledge base and dialogue about test preparation. It describes various types of test preparation programs and summarizes the existing academic research on the effects of test…
Descriptors: Testing, Standardized Tests, School Counselors, College Admission
Edelen, Maria Orlando; McCaffrey, Daniel F.; Marshall, Grant N.; Jaycox, Lisa H. – Journal of Interpersonal Violence, 2009
Accurate assessment of attitudes about intimate partner violence is important for evaluation of prevention and early intervention programs. Assessment of attitudes about cross-gender interactions is particularly susceptible to bias because it requires specifying the gender of the perpetrator and the victim. As it is likely that respondents will…
Descriptors: Females, Dating (Social), Measures (Individuals), Error of Measurement
Raju, Nambury S.; Price, Larry R.; Oshima, T. C.; Nering, Michael L. – Applied Psychological Measurement, 2007
An examinee-level (or conditional) reliability is proposed for use in both classical test theory (CTT) and item response theory (IRT). The well-known group-level reliability is shown to be the average of conditional reliabilities of examinees in a group or a population. This relationship is similar to the known relationship between the square of…
Descriptors: Item Response Theory, Error of Measurement, Reliability, Test Theory
Lee, Won-Chan – Applied Psychological Measurement, 2007
This article introduces a multinomial error model, which models an examinee's test scores obtained over repeated measurements of an assessment that consists of polytomously scored items. A compound multinomial error model is also introduced for situations in which items are stratified according to content categories and/or prespecified numbers of…
Descriptors: Simulation, Error of Measurement, Scoring, Test Items
Jackson, Dennis L. – Structural Equation Modeling: A Multidisciplinary Journal, 2007
Some authors have suggested that sample size in covariance structure modeling should be considered in the context of how many parameters are to be estimated (e.g., Kline, 2005). Previous research has examined the effect of varying sample size relative to the number of parameters being estimated (N:q). Although some support has been found for this…
Descriptors: Sample Size, Factor Analysis, Structural Equation Models, Goodness of Fit
Hoshino, Takahiro; Shigemasu, Kazuo – Applied Psychological Measurement, 2008
The authors propose a concise formula to evaluate the standard error of the estimated latent variable score when the true values of the structural parameters are not known and must be estimated. The formula can be applied to factor scores in factor analysis or ability parameters in item response theory, without bootstrap or Markov chain Monte…
Descriptors: Monte Carlo Methods, Markov Processes, Factor Analysis, Computation
Ayers, Elizabeth; Junker, Brian – Educational and Psychological Measurement, 2008
Interest in end-of-year accountability exams has increased dramatically since the passing of the No Child Left Behind Act in 2001. With this increased interest comes a desire to use student data collected throughout the year to estimate student proficiency and predict how well they will perform on end-of-year exams. This article uses student…
Descriptors: Federal Legislation, Tests, Scores, Academic Achievement
Bergeron, Renee; Floyd, Randy G.; Shands, Elizabeth I. – Education and Training in Developmental Disabilities, 2008
Mental retardation (MR) has traditionally been defined as a disorder in intellectual and adaptive functioning beginning in the developmental period. Guided by a federal definition of MR described in the Individuals with Disabilities Education Act, it is the responsibility of each of the United States to describe eligibility guidelines for special…
Descriptors: Eligibility, Mental Retardation, Intelligence Tests, Intelligence Quotient
Peer reviewedWolins, Leroy – Educational and Psychological Measurement, 1977
In this brief note, the author argues against the use of squared correlation coefficients as measures of explained variance. (JKS)
Descriptors: Correlation, Error of Measurement, Reliability, Validity
Peer reviewedMarcus-Roberts, Helen M.; Roberts, Fred S. – Journal of Educational Statistics, 1987
Discusses the controversy over the limits that scales of measurement impose on the statistical procedures on the statistical procedures we may apply, using the measurement-theoretic concept of meaningfulness in the analysis of these limits. (RB)
Descriptors: Error of Measurement, Scaling, Statistics, Validity
Peer reviewedKoopman, Raymond F. – Psychometrika, 1983
A paradoxical implication of Kraemer's expression for the large-sample standard error of Brogden's form of the biserial correlation is identified, and a new expression is given which does not imply the paradox. However, numerical evidence is presented which calls into question the correctness of the expression. (Author)
Descriptors: Correlation, Error of Measurement, Mathematical Models

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