Using user-defined fit statistic to analyze two-tier items in mathematics

Hak Ping Tam*, Margaret Wu, Doris Ching Heung Lau, Magdalena Mo Ching Mok

*此作品的通信作者

研究成果: 書貢獻/報告類型篇章

2 引文 斯高帕斯(Scopus)

摘要

The two-tier item is a relatively new item format and is gradually gaining popularity in some areas of educational research. In science education, a typical two-tier item is made up of two portions. The purpose of the first portion is to assess whether students could identify the correct concept with respect to the information stated in the item stem, while the second examines the reason they supplied to justify the option they chose in the first portion. Since the data thus collected are related in a certain way, they pose challenges regarding how analysis should be done to capture the relationship that exists between the two tiers. This chapter attempts to analyze such data by using a user-defined fit statistic within the Rasch approach. The kind of information that can be gathered will be illustrated by way of analyzing a data set in mathematics.

原文英語
主出版物標題Self-Directed Learning Oriented Assessments in the Asia-Pacific
發行者Springer Netherlands
頁面223-233
頁數11
ISBN(電子)9789400745070
ISBN(列印)9789400745063
DOIs
出版狀態已發佈 - 2013 一月 1

ASJC Scopus subject areas

  • 社會科學 (全部)

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