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

doi:10.1007/978-94-007-4507-0_12

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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter

2 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Self-Directed Learning Oriented Assessments in the Asia-Pacific
Publisher	Springer Netherlands
Pages	223-233
Number of pages	11
ISBN (Electronic)	9789400745070
ISBN (Print)	9789400745063
DOIs	https://doi.org/10.1007/978-94-007-4507-0_12
Publication status	Published - 2013 Jan 1
Externally published	Yes

ASJC Scopus subject areas

Social Sciences(all)

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10.1007/978-94-007-4507-0_12

Cite this

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

Abstract

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