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The Effects of Test Length and Sample Size on Item Parameters in Item Response Theory
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Date
2017-02-01
Author
Sahin, Alper
ANIL, DUYGU
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This study investigates the effects of sample size and test length on item-parameter estimation in test development utilizing three unidimensional dichotomous models of item response theory (IRT). For this purpose, a real language test comprised of 50 items was administered to 6,288 students. Data from this test was used to obtain data sets of three test lengths (10, 20, and 30 items) and nine different sample sizes (150, 250, 350, 500, 750, 1,000, 2,000, 3,000 and 5,000 examinees). These data sets were then used to create various research conditions in which test length, sample size, and IRT model variables were manipulated to investigate item parameter estimation accuracy under different conditions. The results suggest that rather than sample size or test length, the combination of these two variables is important and samples of 150, 250, 350, 500, and 750 examinees can be used to estimate item parameters accurately in three unidimensional dichotomous IRT models, depending on test length and model employed.
Subject Keywords
Small samples in IRT
,
Item parameter estimation
,
Item response theory
,
Language testing
,
Short tests
URI
https://hdl.handle.net/11511/65131
Journal
EDUCATIONAL SCIENCES-THEORY & PRACTICE
DOI
https://doi.org/10.12738/estp.2017.1.0270
Collections
Education and Humanities, Article
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A. Sahin and D. ANIL, “The Effects of Test Length and Sample Size on Item Parameters in Item Response Theory,”
EDUCATIONAL SCIENCES-THEORY & PRACTICE
, pp. 321–335, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/65131.