NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Does not meet standards1
Showing 1,861 to 1,875 of 3,316 results Save | Export
Peer reviewed Peer reviewed
Marcus-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 reviewed Peer reviewed
Koopman, 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
Peer reviewed Peer reviewed
Schneider, Bruce – Psychometrika, 1980
A nonmetric coordinate adjustment technique determining scale values for objects whose interobject intervals (differences in subjective value) have been directly compared is developed. In Monte Carlo simulations, the degree of metric determinancy of the scale values appears quite high even when the amount of error is relatively high. (Author/JKS)
Descriptors: Error of Measurement, Measurement Techniques, Scaling
Peer reviewed Peer reviewed
Babyak, Michael A.; Green, Samuel B. – Multivariate Behavioral Research, 1997
Contrasting positions about the evaluation of multiple tests of constraints and control of Type I errors in structural equation modeling (SEM) are presented. It is argued that researchers should consider controlling for Type I errors in evaluating multiple tests of constraints for other than exploratory analyses. (SLD)
Descriptors: Error of Measurement, Structural Equation Models
Peer reviewed Peer reviewed
Osbourne, Jason W.; Waters, Elaine – Practical Assessment, Research & Evaluation, 2002
Discusses assumptions of multiple regression that are not robust to violation: linearity, reliability of measurement, homoscedasticity, and normality. Stresses the importance of checking assumptions. (SLD)
Descriptors: Error of Measurement, Regression (Statistics), Reliability
Peer reviewed Peer reviewed
Schumacker, Randall E. – Structural Equation Modeling, 2002
Used simulation to study two different approaches to latent variable interaction modeling with continuous observed variables: (1) a LISREL 8.30 program and (2) data analysis through PRELIS2 and SIMPLIS programs. Results show that parameter estimation was similar but standard errors were different. Discusses differences in ease of implementation.…
Descriptors: Error of Measurement, Interaction, Mathematical Models
Peer reviewed Peer reviewed
Raykov, Tenko – Multivariate Behavioral Research, 1997
The population discrepancy between Cronbach's Coefficient Alpha (L. Cronbach, 1951) and scale reliability with fixed congeneric measure, uncorrelated errors, and sampling of subjects was studied. The difference is expressed in terms of the individual component violations of the assumption of equal tau-equivalence that is necessary and sufficient…
Descriptors: Error of Measurement, Reliability, Sampling, Scaling
Peer reviewed Peer reviewed
Feldt, Leonard S.; Qualls, Audrey L. – Journal of Educational Measurement, 1996
Derives a method for estimating conditional measurement error variances, that is, error variances specific to individual examinees or specific to each point on the raw score scale of the test. Uses empirical data to corroborate the principal theoretical deductions. (Author/SLD)
Descriptors: Error of Measurement, Estimation (Mathematics), Scores
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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 reviewed Peer reviewed
PDF on ERIC Download full text
Moses, Tim; Holland, Paul – ETS Research Report Series, 2007
The purpose of this study was to empirically evaluate the impact of loglinear presmoothing accuracy on equating bias and variability across chained and post-stratification equating methods, kernel and percentile-rank continuization methods, and sample sizes. The results of evaluating presmoothing on equating accuracy generally agreed with those of…
Descriptors: Equated Scores, Statistical Analysis, Accuracy, Sample Size
Peer reviewed Peer reviewed
Direct linkDirect link
Siegel, Peter – Physics Teacher, 2007
We present a fun activity that can be used to introduce students to error analysis: the M&M game. Students are told to estimate the number of individual candies plus uncertainty in a bag of M&M's. The winner is the group whose estimate brackets the actual number with the smallest uncertainty. The exercise produces enthusiastic discussions and…
Descriptors: Error of Measurement, Educational Games, Science Instruction, Teaching Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Christ, Theodore J.; Silberglitt, Benjamin – School Psychology Review, 2007
Curriculum-based measurement of oral reading fluency (CBM-R) procedures have been developed to screen and evaluate student performance in reference to local norms and/or benchmarks. Recent changes in federal law have set the stage to use CBM-R data within a response to intervention model to guide high-stakes educational decisions (e.g.,…
Descriptors: Curriculum Based Assessment, Reading Fluency, Federal Legislation, Error of Measurement
Peer reviewed Peer reviewed
Direct linkDirect link
Raykov, Tenko – Measurement and Evaluation in Counseling and Development, 2007
A method is outlined for evaluating the reliability and criterion validity of weighted scales based on sets of unidimensional measures. The approach is developed within the framework of latent variable modeling methodology and is useful for point and interval estimation of these measurement quality coefficients in counseling and education…
Descriptors: Predictive Validity, Computation, Reliability, Item Response Theory
Pages: 1  |  ...  |  121  |  122  |  123  |  124  |  125  |  126  |  127  |  128  |  129  |  ...  |  222