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Lim, Euijin; Lee, Won-Chan – Applied Measurement in Education, 2020
The purpose of this study is to address the necessity of subscore equating and to evaluate the performance of various equating methods for subtests. Assuming the random groups design and number-correct scoring, this paper analyzed real data and simulated data with four study factors including test dimensionality, subtest length, form difference in…
Descriptors: Equated Scores, Test Length, Test Format, Difficulty Level
Tingir, Seyfullah – ProQuest LLC, 2019
Educators use various statistical techniques to explain relationships between latent and observable variables. One way to model these relationships is to use Bayesian networks as a scoring model. However, adjusting the conditional probability tables (CPT-parameters) to fit a set of observations is still a challenge when using Bayesian networks. A…
Descriptors: Bayesian Statistics, Statistical Analysis, Scoring, Probability
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Harbaugh, Allen G.; Liu, Min – AERA Online Paper Repository, 2017
This research examines the effects of single-value response style contamination on measures of model fit and model convergence issues. A simulation study examines the effects resulting from percentage of contamination, number of manifest, number of reverse coded items, magnitude of standardized factor loadings, response scale granularity, and…
Descriptors: Goodness of Fit, Sample Size, Statistical Analysis, Test Format
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Morgan, Grant B.; Moore, Courtney A.; Floyd, Harlee S. – Journal of Psychoeducational Assessment, 2018
Although content validity--how well each item of an instrument represents the construct being measured--is foundational in the development of an instrument, statistical validity is also important to the decisions that are made based on the instrument. The primary purpose of this study is to demonstrate how simulation studies can be used to assist…
Descriptors: Simulation, Decision Making, Test Construction, Validity
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Socha, Alan; DeMars, Christine E. – Educational and Psychological Measurement, 2013
Modeling multidimensional test data with a unidimensional model can result in serious statistical errors, such as bias in item parameter estimates. Many methods exist for assessing the dimensionality of a test. The current study focused on DIMTEST. Using simulated data, the effects of sample size splitting for use with the ATFIND procedure for…
Descriptors: Sample Size, Test Length, Correlation, Test Format
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Wang, Lin; Qian, Jiahe; Lee, Yi-Hsuan – ETS Research Report Series, 2013
The purpose of this study was to evaluate the combined effects of reduced equating sample size and shortened anchor test length on item response theory (IRT)-based linking and equating results. Data from two independent operational forms of a large-scale testing program were used to establish the baseline results for evaluating the results from…
Descriptors: Test Construction, Item Response Theory, Testing Programs, Simulation
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Liu, Jinghua; Zhu, Xiaowen – ETS Research Report Series, 2008
The purpose of this paper is to explore methods to approximate population invariance without conducting multiple linkings for subpopulations. Under the single group or equivalent groups design, no linking needs to be performed for the parallel-linear system linking functions. The unequated raw score information can be used as an approximation. For…
Descriptors: Raw Scores, Test Format, Comparative Analysis, Test Construction