T C Oshima
Biographic Data
| ID | 9252275 |
|---|---|
| NAME | T C Oshima |
| GIVEN NAMES | T C |
| FAMILY NAME | Oshima |
| SIGNATURE | OSHIMA T C |
| AFFILIATIONS | Georgia State University |
| VERIFIED | No |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1992 |
| LATEST PUBLICATION YEAR | 2017 |
| H-INDEX | 0 |
Effect of Purification Procedures on DIF Analysis in IRTPRO
Purification of the test has been a well-accepted procedure in enhancing the performance of tests for differential item functioning (DIF). As defined by Lord, purification requires reestimation of ability parameters after removing DIF items before conducting the final DIF analysis. IRTPRO 3 is a recently updated program for analyses in item response theory, with built-in DIF tests but not purification procedures. A simulation study was conducted …
An Effect Size Measure for Raju’s Differential Functioning for Items and Tests
This study established an effect size measure for differential functioning for items and tests’ noncompensatory differential item functioning (NCDIF). The Mantel–Haenszel parameter served as the benchmark for developing NCDIF’s effect size measure for reporting moderate and large differential item functioning in test items. The effect size of NCDIF is influenced by the model, the discrimination parameter, and the difficulty parameter. Therefore, …
Effect of Multiple Testing Adjustment in Differential Item Functioning Detection
In a typical differential item functioning (DIF) analysis, a significance test is conducted for each item. As a test consists of multiple items, such multiple testing may increase the possibility of making a Type I error at least once. The goal of this study was to investigate how to control a Type I error rate and power using adjustment procedures for multiple testing, which have been widely used in applied statistics. In the simulation, four di…
A Comparison of Unidimensional and Three-Dimensional Differential Item Functioning Analysis Using Two-Dimensional Data
Oshima, Raju, and Flowers demonstrated the use of an item response theory—based technique for analyzing differential item function (DIF) and differential test function for dichotomously scored data that are intended to be multidimensional. Their study assumed that the number of intended-to-be measured dimensions was correctly identified. In practice, however, the number of dimensions may be misidentified. Therefore, the purpose of this study was …
Two Prophecy Formulas for Assessing the Reliability of Item Response Theory-Based Ability Estimates
Two new prophecy formulas for estimating item response theory (IRT)-based reliability of a shortened or lengthened test are proposed. Some of the relationships between the two formulas, one of which is identical to the well-known Spearman-Brown prophecy formula, are examined and illustrated. The major assumptions underlying these formulas are outlined and discussed. Both prophecy formulas appear to provide comparable estimates of reliability in t…
A Sas/Iml Program for Applying the James Second-Order Test in Two-Factor Fixed-Effect Anova Models
The SAS/IML computer program package performs the James second-order procedure in two-factor fixed-effect ANOVA models. Researchers can conveniently test main effects and interaction effects by applying the James second-order test, which can be applied regardless of the homogeneity restriction
A SAS Program for Testing the Hypothesis of the Equal Means Under Heteroscedasticity
A SAS program is presented which computes James's second-order procedure for testing the hypothesis of the equality of J means under heteroscedasticity
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A SAS Program for Testing the Hypothesis of the Equal Means Under Heteroscedasticity
A SAS program is presented which computes James's second-order procedure for testing the hypothesis of the equality of J means under heteroscedasticity
A Sas/Iml Program for Applying the James Second-Order Test in Two-Factor Fixed-Effect Anova Models
The SAS/IML computer program package performs the James second-order procedure in two-factor fixed-effect ANOVA models. Researchers can conveniently test main effects and interaction effects by applying the James second-order test, which can be applied regardless of the homogeneity restriction
Two Prophecy Formulas for Assessing the Reliability of Item Response Theory-Based Ability Estimates
Two new prophecy formulas for estimating item response theory (IRT)-based reliability of a shortened or lengthened test are proposed. Some of the relationships between the two formulas, one of which is identical to the well-known Spearman-Brown prophecy formula, are examined and illustrated. The major assumptions underlying these formulas are outlined and discussed. Both prophecy formulas appear to provide comparable estimates of reliability in t…
A Comparison of Unidimensional and Three-Dimensional Differential Item Functioning Analysis Using Two-Dimensional Data
Oshima, Raju, and Flowers demonstrated the use of an item response theory—based technique for analyzing differential item function (DIF) and differential test function for dichotomously scored data that are intended to be multidimensional. Their study assumed that the number of intended-to-be measured dimensions was correctly identified. In practice, however, the number of dimensions may be misidentified. Therefore, the purpose of this study was …
Effect of Multiple Testing Adjustment in Differential Item Functioning Detection
In a typical differential item functioning (DIF) analysis, a significance test is conducted for each item. As a test consists of multiple items, such multiple testing may increase the possibility of making a Type I error at least once. The goal of this study was to investigate how to control a Type I error rate and power using adjustment procedures for multiple testing, which have been widely used in applied statistics. In the simulation, four di…
An Effect Size Measure for Raju’s Differential Functioning for Items and Tests
This study established an effect size measure for differential functioning for items and tests’ noncompensatory differential item functioning (NCDIF). The Mantel–Haenszel parameter served as the benchmark for developing NCDIF’s effect size measure for reporting moderate and large differential item functioning in test items. The effect size of NCDIF is influenced by the model, the discrimination parameter, and the difficulty parameter. Therefore, …
Effect of Purification Procedures on DIF Analysis in IRTPRO
Purification of the test has been a well-accepted procedure in enhancing the performance of tests for differential item functioning (DIF). As defined by Lord, purification requires reestimation of ability parameters after removing DIF items before conducting the final DIF analysis. IRTPRO 3 is a recently updated program for analyses in item response theory, with built-in DIF tests but not purification procedures. A simulation study was conducted …
Mathematics (7 works) · Statistics (7 works) · Advanced Statistical Modeling Techniques (6 works) · Item response theory (5 works) · Psychometric Methodologies and Testing (5 works) · Psychometrics (5 works) · Test (biology) (5 works) · Differential (mechanical device) (4 works) · Differential item functioning (4 works) · Psychology (4 works)