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Reliability Generalization: "Lapsus linguae"

Smith, Julie M - 2011

This study examines the proposed Reliability Generalization (RG) method for studying reliability. RG employs the application of meta-analytic techniques similar to those used in validity generalization studies to examine reliability coefficients. This study explains why RG does not provide a...

Persistent link: https://www.econbiz.de/10009481169

Loglinear smoothing for the latent trait distribution: A two-tiered evaluation

Casabianca, Jodi M - 2011

This research focused on two main problems. The first problem concerns the use of loglinear smoothing for estimating the latent trait distribution, and how this may improve the recovery of item response theory (IRT) item parameters in marginal maximum likelihood estimation. The second problem...

Persistent link: https://www.econbiz.de/10009440655

USING LATENT PROFILE MODELS AND UNSTRUCTURED GROWTH MIXTURE MODELS TO ASSESS THE NUMBER OF LATENT CLASSES IN GROWTH MIXTURE MODELING

Liu, Min - 2011

Growth mixture modeling has gained much attention in applied and methodological social science research recently, but the selection of the number of latent classes for such models remains a challenging issue. This problem becomes more serious when one of the key assumptions of this model, proper...

Persistent link: https://www.econbiz.de/10009450910

The impact of judges' consensus on the accuracy of anchor-based judgmental estimates of multiple-choice test item difficulty: The case of the NATABOC Examination

DiBartolomeo, Matthew - 2010

Multiple factors have influenced testing agencies to more carefully consider the manner and frequency in which pretest item data are collected and analyzed. One potentially promising development is judges' estimates of item difficulty. Accurate estimates of item difficulty may be used to reduce...

Persistent link: https://www.econbiz.de/10009468098

Approaches for addressing the fit of item response theory models to educational test data

Zhao, Yue - 2008

The study was carried out to accomplish three goals : (1) Propose graphical displays of IRT model fit at the item level and suggest fit procedures at the test level that are not impacted by large sample size, (2) examine the impact of IRT model misfit on proficiency classifications, and (3)...

Persistent link: https://www.econbiz.de/10009468207

Item parameter drift as an indication of differential opportunity to learn: An exploration of item flagging methods & accurate classification of examinees

Sukin, Tia M - 2010

The presence of outlying anchor items is an issue faced by many testing agencies. The decision to retain or remove an item is a difficult one, especially when the content representation of the anchor set becomes questionable by item removal decisions. Additionally, the reason for the aberrancy...

Persistent link: https://www.econbiz.de/10009468226

EFFECTS OF UNMODELED LATENT CLASSES ON MULTILEVEL GROWTH MIXTURE ESTIMATION IN VALUE-ADDED MODELING

Yumoto, Futoshi - 2011

Fairness is necessary to successful evaluation, whether the context is simple and concrete or complex and abstract. Fair evaluation must begin with careful data collection, with clear operationalization of variables whose relationship(s) will represent the outcome(s) of interest. In particular,...

Persistent link: https://www.econbiz.de/10009450913

Equating tests under the Generalized Partial Credit Model

Swediati, Nonny - 1997

The efficacy of several procedures for equating tests when the scoring is based on the Partial Credit item response theory was investigated. A simulation study was conducted to investigate the effect of several factors on the accuracy of equating for tests calibrated using the Partial Credit...

Persistent link: https://www.econbiz.de/10009467781

Detecting exposed items in computer-based testing

Han, Ning - 2006

and investigation of item statistics that reveal whether test items are known to examinees prior to their seeing the tests … statistics. Three simulation studies were conducted to investigate and evaluate the usefulness of the method. The statistics …-based statistics under a wide variety of conditions produced the most promising results and seem ready for immediate implementation …

Persistent link: https://www.econbiz.de/10009467805

The effect of test characteristics on aberrant response patterns in computer adaptive testing

Rizavi, Saba M - 2001

The advantages that computer adaptive testing offers over linear tests have been well documented. The Computer Adaptive Test (CAT) design is more efficient than the Linear test design as fewer items are needed to estimate an examinee's proficiency to a desired level of precision. In the ideal...

Persistent link: https://www.econbiz.de/10009467929

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