The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
The Use of Rasch Analysis to Enhance Measurement Instruments in Education
Abstract
Constructing a valid and reliable measurement instrument is essential in education and research to ensure that all respondents are evaluated on the same scale. Validity and reliability ensure that inferences made from the instrument are trustworthy. This chapter discusses the Rasch analysis as a practical method for improving assessments to promote fair and inclusive practices. Consequently, this chapter aims to demonstrate the viability of Rasch analysis as a valuable tool for establishing validity, while also highlighting aspects that prospective Rasch analysis users should carefully consider when applying Rasch analysis to improve assessments. Rasch analysis appears to be a vital method for validating instruments because the model provides outputs that enable the designer to evaluate the dimensionality of the instrument, test hypotheses, and verify the instrument's internal consistency. The model offers statistics that can be used to assess the goodness-of-fit of the instrument items and to identify items that may function differently for respondents. However, Rasch analysis users are advised to carefully select the sample size, pay attention to misfitting items, and address issues related to missing data. Rasch analysis can be recommended as a practical approach for enhancing assessments.
Related Content
|
Frederic Andres.
© 2027.
14 pages.
|
|
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar.
© 2027.
27 pages.
|
|
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran.
© 2027.
24 pages.
|
|
Swetha Margaret T. A., Renuka Devi D..
© 2027.
31 pages.
|
|
Maurice Saluschke, Michael Schulz.
© 2027.
30 pages.
|
|
Mirjam Sepesy Maučec, Gregor Donaj.
© 2027.
16 pages.
|
|
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo.
© 2027.
21 pages.
|
|
|