Item analysis with small samples

Loading...
Thumbnail Image

View/Download File

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

Item analysis with small samples

Published Date

1980

Publisher

Type

Article

Abstract

Traditional item analysis centers on the characteristics of individual items, typically on the item’s level of difficulty and discrimination power. In constructing new tests, attempts are therefore made to obtain large samples of subjects in order to decrease the standard error of measurement of the item’s characteristics. However, there are common test situations in which the exact parameters of individual items are not of much importance. Rather, the focus of interest is on the position of the items in relation to one another or in relation to some critical statistical value. Five such test situations are described. Quasi-simulations of item analyses were performed to determine the optimal sample sizes required in such test situations. These simulations consisted of analyzing responses of 5,200 university applicants, each of whom completed three different multiple-choice tests. Sample sizes of 16, 32, 64, 128, 256, 512, and 1,024 were chosen; and for each size, eight samples were randomly drawn from the population of applicants. For three of five different indices of accuracy that were employed, the results showed that the sample size needed for the pretest stage in test construction is considerably smaller than the traditionally recommended size.

Keywords

Description

Related to

Replaces

License

Series/Report Number

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Nevo, Baruch. (1980). Item analysis with small samples. Applied Psychological Measurement, 4, 323-329. doi:10.1177/014662168000400304

Suggested citation

Nevo, Baruch. (1980). Item analysis with small samples. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/100192.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.