Book contents
- Validity Argument in Language Testing
- The Cambridge Applied Linguistics Series
- Validity Argument in Language Testing
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Series Editor’s Preface
- 1 Introduction to Validity Argument in Language Testing and Assessment
- Part I Basic Concepts and Uses of Validity Argument in Language Testing and Assessment
- Part II Investigating Score Interpretations
- 4 Domain Definition Inference for a Virtual Interactive Aviation English Test (VIAET) for Military Air Traffic Controllers
- 5 Support for the Evaluation Inference
- 6 Generalization Inference for a Computer-Mediated Graphic-Prompt Writing Test for ESL Placement
- 7 The Telephone Standard Speaking Test
- 8 The Explanation Inference for a Test of Academic English Collocational Ability
- 9 Extrapolation of the Meaning of Grades on Writing Tasks in an ESL Writing Class to Success on Tasks in University Courses
- Part III Investigating Score Uses and Consequences
- Part IV Conclusion
- Index
- References
6 - Generalization Inference for a Computer-Mediated Graphic-Prompt Writing Test for ESL Placement
from Part II - Investigating Score Interpretations
Published online by Cambridge University Press: 14 January 2021
By
Book contents
- Validity Argument in Language Testing
- The Cambridge Applied Linguistics Series
- Validity Argument in Language Testing
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Series Editor’s Preface
- 1 Introduction to Validity Argument in Language Testing and Assessment
- Part I Basic Concepts and Uses of Validity Argument in Language Testing and Assessment
- Part II Investigating Score Interpretations
- 4 Domain Definition Inference for a Virtual Interactive Aviation English Test (VIAET) for Military Air Traffic Controllers
- 5 Support for the Evaluation Inference
- 6 Generalization Inference for a Computer-Mediated Graphic-Prompt Writing Test for ESL Placement
- 7 The Telephone Standard Speaking Test
- 8 The Explanation Inference for a Test of Academic English Collocational Ability
- 9 Extrapolation of the Meaning of Grades on Writing Tasks in an ESL Writing Class to Success on Tasks in University Courses
- Part III Investigating Score Uses and Consequences
- Part IV Conclusion
- Index
- References
Summary
This argument-based validation research investigates the validity of score interpretations on a computer-based, graphic-prompt writing test, focusing on the generalization inference. The graphic-prompt writing test assesses examinees’ ability to incorporate visual graphic information into their writing,. Both analytic ratings on Graph Description, Content Development, Organization, and Grammar/Vocabulary (n = 2,424) and composite ratings (n = 606) on written test responses from 101 ESL students were analyzed using Generalizability (G) Theory and Multi-Faceted Rasch Measurement (MFRM). Findings indicated three of the four analytic scales and the composites yielded dependable scores. In addition, the results of the G-studies and MFRM analysis revealed the relative effects of the raters on the total score variance was not trivial for both composite and analytic scores and the three raters were not quite equivalent in their rating severity. Nevertheless, the findings support the generalization inference to a large extent. Thus, it can be claimed the graphic-prompt writing task scores were dependable enough to be used for the intended purposes, particularly with the two-rater and three-task test administration design.
Keywords
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- Information
- Validity Argument in Language TestingCase Studies of Validation Research, pp. 120 - 153Publisher: Cambridge University PressPrint publication year: 2021
References
Bachman, L. F., Lynch, B. K., & Mason, M. (1995). Investigating variability in tasks and rater judgments in a performance test of foreign language speaking. Language Testing, 12(2), 238–257.Google Scholar
Barkaoui, K. (2007). Rating scale impact on EFL essay marking: A mixed-method study. Assessing Writing, 12(2), 86–107.Google Scholar
Bouwer, R., Béguin, A., Sanders, T., & van den Bergh, H. (2015). Effect of genre on the generalizability of writing scores. Language Testing, 32(1), 83–100.Google Scholar
Bridges, G. (2010). Demonstrating cognitive validity of IELTS academic writing task 1. Cambridge ESOL Research Notes, 42, 24–33. Retrieved from www.cambridgeenglish.org/images/23160-research-notes-42.pdfGoogle Scholar
Briesch, A. M., Swaminathan, H., Welsh, M., & Chafouleas, S. M. (2014). Generalizability theory: A practical guide to study design, implementation, and interpretation. Journal of School Psychology, 52(1), 13–35.Google Scholar
Briggs, D. C. (2004). Comment: Making an argument for design validity before interpretive validity. Measurement, 2(3), 171–174.Google Scholar
Carr, N. T. (2011). Designing and analyzing language tests. Oxford: Oxford University Press.Google Scholar
Chapelle, C. A., Enright, M. K., & Jamieson, J. M. (Eds.). (2008). Building a validity argument for the Test of English as a Foreign LanguageTM. New York: Routledge.Google Scholar
Choi, Y. D. (2018). Graphic-prompt tasks for assessment of academic English writing ability: An argument-based approach to investigating validity. Unpublished doctoral dissertation, Iowa State University, Ames, IA.Google Scholar
Conklin, K., Pellicer-Sánchez, A., & Carrol, G. (2018). Eye-tracking: A guide for applied linguistics research. Cambridge: Cambridge University Press.Google Scholar
Creswell, J. W., & Plano Clark, V. L. (2007). Designing and conducting mixed methods research. London: Sage Publications.Google Scholar
Cumming, A. (2013). Assessing integrated writing tasks for academic purposes: Promises and perils. Language Assessment Quarterly, 10(1), 1–8.Google Scholar
Cumming, A., Grant, L., Mulcahy-Ernt, P., & Powers, D. E. (2004). A teacher-verification study of speaking and writing prototype tasks for a new TOEFL. Language Testing, 21(2), 107–145.Google Scholar
Cumming, A., Kantor, R., Baba, K., Erdosy, U., Eouanzoui, K., & James, M. (2005). Differences in written discourse in independent and integrated prototype tasks for next generation TOEFL. Assessing Writing, 10(1), 5–43.Google Scholar
Eckes, T. (2015). Introduction to many-facet Rasch measurement: Analyzing and evaluating rater-mediated assessment (2nd ed.). New York: Peter Lang.Google Scholar
Farahani, D. B., & Kashanifar, F. S. (2016). Graph writing test taking strategies and performance on the task: The role of academic background. Journal of Applied Linguistics and Language Research, 3(2), 51–69.Google Scholar
Gebril, A. (2009). Score generalizability of academic writing tasks: Does one test method fit it all? Language Testing, 26(4), 507–531.Google Scholar
Gebril, A. (2010). Bringing reading-to-write and writing-only assessment tasks together: A generalizability analysis. Assessing Writing, 15(2), 100–117.Google Scholar
Hyland, K. (2006). English for academic purposes: An advanced resource book. New York: Routledge.Google Scholar
IBM Corp. (2015). IBM SPSS statistics for Macintosh (version 23.0) [Computer software]. Armonk, NY: IBM Corp.Google Scholar
IELTS. (2006). Handbook 2006. Retrieved from http://aabe.com.ua/Uploads/Files/LinkDirectory/Exams/IELTS/handbook2006.pdfGoogle Scholar
In’nami, Y., & Koizumi, R. (2016). Task and rater effects in L2 speaking and writing: A synthesis of generalizability studies. Language Testing, 33(3), 341–366.Google Scholar
Iowa State University. (2019). English placement test. Retrieved from https://apling.engl.iastate.edu/english-placement-test/Google Scholar
Jewitt, C. (2005). Multimodality, “reading”, and “writing” for the 21st century. Discourse: Studies in the Cultural Politics of Education, 26(3), 315–331.Google Scholar
Jewitt, C. (2008). Multimodality and literacy in school classrooms. Review of Research in Education, 32(1), 241–267.Google Scholar
Kane, M. T. (2006). Validation. In Brennen, R. (Ed.), Educational measurement (4th ed., pp. 17–64). Westport, CT: Greenwood Publishing.Google Scholar
Kane, M. T. (2013). Validating the interpretations and uses of test scores. Journal of Educational Measurement, 50(1), 1–73.Google Scholar
Knoch, U. (2009). Diagnostic assessment of writing: A comparison of two rating scales. Language Testing, 26(2), 275–304.Google Scholar
Knoch, U., & Chapelle, C. A. (2017). Validation of rating processes within an argument-based framework. Language Testing, 35(4), 477–499https://doi.org/10.1177/0265532217710049Google Scholar
Knoch, U., & Sitajalabhorn, W. (2013). A closer look at integrated writing tasks: Towards a more focused definition for assessment purposes. Assessing Writing, 18(4), 300–308.Google Scholar
Lee, Y. W., & Kantor, R. (2007). Evaluating prototype tasks and alternative rating schemes for a new ESL writing test through G-theory. International Journal of Testing, 7(4), 353–385.Google Scholar
Lim, G. S. (2009). Prompt and rater effects in second language writing performance assessment. Unpublished doctoral dissertation, University of Michigan.Google Scholar
Linacre, J. M. (2014). Facets Rasch measurement computer program (version 3.71.4) [Computer software]. Chicago: Winsteps.com.Google Scholar
Mackey, A., & Gass, S. M. (2005). Second language research: Methodology and design. New York: Routledge.Google Scholar
Mickan, P., Slater, S., & Gibson, C. (2000). Study of response validity of the IELTS writing subtest. International English Language Testing System, 3, 29–48.Google Scholar
Mushquash, C., & O’Connor, B. P. (2006). SPSS and SAS programs for generalizability theory analyses. Behavior Research Methods, 38(3), 542–547.Google Scholar
Ockey, G. J. (2012). Item response theory. In Fulcher, G. & Davidson, F. (Eds.), Routledge handbook of language testing (pp. 316–328). London: Routledge.Google Scholar
O’Loughlin, K., & Wigglesworth, G. (2003). Task design in IELTS academic writing task 1: The effect of quantity and manner of presentation of information on candidate writing. IELTS research report #4. Retrieved from http://search.informit.com.au/documentSummary;dn=908957733867582;res=IELHSSGoogle Scholar
Plakans, L. (2008). Comparing composing processes in writing-only and reading-to-write test tasks. Assessing Writing, 13(2), 111–129.Google Scholar
Schoonen, R. (2005). Generalizability of writing scores: An application of structural equation modeling. Language Testing, 22(1), 1–30.Google Scholar
Shavelson, R. J., & Webb, N. M. (1991). Generalizability theory: A primer. London: Sage Publications.Google Scholar
Shin, S. Y., & Ewert, D. (2015). What accounts for integrated reading-to-write task scores? Language Testing, 32(2), 259–281.Google Scholar
Weigle, S. C. (1998). Using FACETS to model rater training effects. Language Testing, 15(2), 263–287.Google Scholar
Weigle, S. C. (1999). Investigating rater/prompt interactions in writing assessment: Quantitative and qualitative approaches. Assessing Writing, 6(2), 145–178.Google Scholar
Yang, H. C. (2012a). A comparative study of composing processes in reading-and graph-based writing tasks. Language Testing in Asia, 2(3), 33.Google Scholar
Yang, H. C. (2012b). Modeling the relationships between test-taking strategies and test performance on a graph-writing task: Implications for EAP. English for Specific Purposes, 31(3), 174–187.Google Scholar
Yang, H. C. (2016). Describing and interpreting graphs: The relationships between undergraduate writer characteristics and academic graph writing performance. Assessing Writing, 28, 28–42.Google Scholar
Yu, G., Rea-Dickens, P., & Kiely, P. (2012). The cognitive processes of taking IELTS Academic Writing Task 1. IELTS research report #11. Retrieved from www.ielts.org/PDF/vol11_report_6_the_cognitive_processes.pdfGoogle Scholar