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Sample Size and Item Parameter Estimation Precision When Utilizing the Masters' Partial Credit Model
Custer, Michael; Kim, Jongpil – Online Submission, 2023
This study utilizes an analysis of diminishing returns to examine the relationship between sample size and item parameter estimation precision when utilizing the Masters' Partial Credit Model for polytomous items. Item data from the standardization of the Batelle Developmental Inventory, 3rd Edition were used. Each item was scored with a…
Descriptors: Sample Size, Item Response Theory, Test Items, Computation
Custer, Michael – Online Submission, 2015
This study examines the relationship between sample size and item parameter estimation precision when utilizing the one-parameter model. Item parameter estimates are examined relative to "true" values by evaluating the decline in root mean squared deviation (RMSD) and the number of outliers as sample size increases. This occurs across…
Descriptors: Sample Size, Item Response Theory, Computation, Accuracy
Schoen, Robert C.; Anderson, Daniel; Champagne, Zachary; Bauduin, Charity – Online Submission, 2017
This report provides a description of the development process, field testing, and psychometric properties of a student mathematics test designed to assess grades K, 1, and 2 student abilities. The test was administered to 4,486 participating grade K, 1, and 2 students in 67 schools located in 10 public school districts in Florida during fall 2015.…
Descriptors: Elementary School Students, Elementary School Mathematics, Kindergarten, Grade 1
Custer, Michael; Sharairi, Sid; Swift, David – Online Submission, 2012
This paper utilized the Rasch model and Joint Maximum Likelihood Estimation to study different scoring options for omitted and not-reached items. Three scoring treatments were studied. The first method treated omitted and not-reached items as "ignorable/blank". The second treatment, scored omits as incorrect with "0" and left not-reached as blank…
Descriptors: Scoring, Test Items, Item Response Theory, Maximum Likelihood Statistics
Wang, Shudong; Jiao, Hong – Online Submission, 2011
For decades, researchers and practitioners have made a great deal of effort to study a variety of methods to increase parameter accuracy, but only recently can researchers start focusing on improving parameter estimations by using a joint model that could incorporate RT and students information as CI. Given that many tests are currently…
Descriptors: Reaction Time, Item Response Theory, Computer Assisted Testing, Computation
Wang, Shudong; Jiao, Hong; He, Wei – Online Submission, 2011
The ability estimation procedure is one of the most important components in a computerized adaptive testing (CAT) system. Currently, all CATs that provide K-12 student scores are based on the item response theory (IRT) model(s); while such application directly violates the assumption of independent sample of a person in IRT models because ability…
Descriptors: Accuracy, Computation, Computer Assisted Testing, Adaptive Testing
Two and Two Make Zero: The Counting Numbers, Their Conceptualization, Symbolization, and Acquisition
Yaseen, H. S. – Online Submission, 2011
"Two and Two Make Zero" considers children's acquisition of numerical concepts from a wide range of perspectives including topics that are often overlooked, most notably: the principal properties of the counting numbers in and of themselves; the role that numerical symbols play in number acquisition; the underlying conceptual structure of number…
Descriptors: Numbers, Number Concepts, Mathematics Instruction, Parent Influence
Custer, Michael; Sharairi, Sid; Yamazaki, Kenji; Signatur, Diane; Swift, David; Frey, Sharon – Online Submission, 2008
The present study compared item and ability invariance as well as model-data fit between the one-parameter (1PL) and three-parameter (3PL) Item Response Theory (IRT) models utilizing real data across five grades; second through sixth as well as simulated data at second, fourth and sixth grade. At each grade, the 1PL and 3PL IRT models were run…
Descriptors: Error of Measurement, Item Response Theory, Models, Goodness of Fit