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Original Articles

Development and Validation of a Multimedia-based Assessment of Scientific Inquiry Abilities

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Pages 2326-2357 | Published online: 07 Sep 2015
 

Abstract

The potential of computer-based assessments for capturing complex learning outcomes has been discussed; however, relatively little is understood about how to leverage such potential for summative and accountability purposes. The aim of this study is to develop and validate a multimedia-based assessment of scientific inquiry abilities (MASIA) to cover a more comprehensive construct of inquiry abilities and target secondary school students in different grades while this potential is leveraged. We implemented five steps derived from the construct modeling approach to design MASIA. During the implementation, multiple sources of evidence were collected in the steps of pilot testing and Rasch modeling to support the validity of MASIA. Particularly, through the participation of 1,066 8th and 11th graders, MASIA showed satisfactory psychometric properties to discriminate students with different levels of inquiry abilities in 101 items in 29 tasks when Rasch models were applied. Additionally, the Wright map indicated that MASIA offered accurate information about students’ inquiry abilities because of the comparability of the distributions of student abilities and item difficulties. The analysis results also suggested that MASIA offered precise measures of inquiry abilities when the components (questioning, experimenting, analyzing, and explaining) were regarded as a coherent construct. Finally, the increased mean difficulty thresholds of item responses along with three performance levels across all sub-abilities supported the alignment between our scoring rubrics and our inquiry framework. Together with other sources of validity in the pilot testing, the results offered evidence to support the validity of MASIA.

Disclosure Statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This study was based upon work supported by the Ministry of Science and Technology in Taiwan under MOST 103-2511-S-003-038-MY4, MOST 103-2811-S-003-010, and the Aim for the Top University Project at the National Taiwan Normal University.

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