Post hoc evaluation of analytic rating scales for improved functioning in the assessment of interactive L2 speaking ability

Post hoc evaluation of analytic rating scales for improved functioning in the assessment of interactive L2 speaking ability

McDonald, Kurtis;
language testing in asia 2018 Vol. 8 pp. 1-23
313
mcdonald2018postlanguage

Abstract

Abstract This study was designed to determine how well existing analytic rating scales functioned in the assessment of low- to mid-proficiency Japanese university students’ interactive English speaking ability when engaged in small group discussions. Many-facet Rasch measurement (MFRM) was employed to evaluate the quality of adapted rating scales for complexity, accuracy, and fluency (CAF), interaction, and communicative effectiveness. The video-recorded performances of 64 participants who completed 10-min group discussion tasks at the beginning and end of their first semester of university study were independently rated by four experienced raters using 9-point rating scales and the resulting scores were subjected to many-facet Rasch measurement (MFRM). Although the scores demonstrated acceptable fit to the Rasch model, closer inspection of the data using Linacre’s (J Appl Meas 3:85–106, 2002a) guidelines for post hoc evaluation of rating scale category quality revealed multiple problems with the 9-point scales and suggested four major revisions were likely to improve the scales for use in this context. The resulting five 5-point rating scales developed through these revisions were then used by the same raters to reassess the same task performances. The 5-point rating scale data was then subjected to the same manner of MFRM analyses and found to demonstrate notably improved functioning and quality.

Citation

ID: 22102
Ref Key: mcdonald2018postlanguage
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
22102
Unique Identifier:
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet