Model meets reality: Validating a new behavioral measure for test-taking effort

被引:18
作者
Ulitzsch, Esther [1 ]
Penk, Christiane [2 ]
von Davier, Matthias [3 ]
Pohl, Steffi [1 ]
机构
[1] Free Univ Berlin, Berlin, Germany
[2] Inst Schulqualitat Lander Berlin & Brandenburg Ev, Berlin, Germany
[3] Natl Board Med Examiners, Philadelphia, PA USA
关键词
RAPID-GUESSING BEHAVIOR; ITEM RESPONSE-TIME; MOTIVATION; PERFORMANCE; EXAMINEE; VALIDITY; STUDENTS; ACHIEVEMENT; ABILITY; TRAITS;
D O I
10.1080/10627197.2020.1858786
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Identifying and considering test-taking effort is of utmost importance for drawing valid inferences on examinee competency in low-stakes tests. Different approaches exist for doing so. The speed-accuracy+engagement model aims at identifying non-effortful test-taking behavior in terms of nonresponse and rapid guessing based on responses and response times. The model allows for identifying rapid-guessing behavior on the item-by-examinee level whilst jointly modeling the processes underlying rapid guessing and effortful responding. To assess whether the model indeed provides a valid measure of test-taking effort, we investigate (1) convergent validity with previously developed behavioral as well as self-report measures on guessing behavior and effort, (2) fit within the nomological network of test-taking motivation derived from expectancy-value theory, and (3) ability to detect differences between groups that can be assumed to differ in test-taking effort. Results suggest that the model captures central aspects of non-effortful test-taking behavior. While it does not cover the whole spectrum of non-effortful test-taking behavior, it provides a measure for some aspects of it, in a manner that is less subjective than self-reports. The article concludes with a discussion of implications for the development of behavioral measures of non-effortful test-taking behavior.
引用
收藏
页码:104 / 124
页数:21
相关论文
共 82 条
[1]  
American Educational Research Association American Psychological Association & National Council on Measurement in Education, 2014, STAND ED PSYCH TESTS
[2]  
[Anonymous], 2009, J GEN EDUC, DOI [10.1353/jge.0.0047, DOI 10.1353/JGE.0.0047]
[3]  
[Anonymous], 2004, NAT COUNC MEAS ED 67
[4]  
Asseburg R., 2013, Psychological Test and Assessment Modeling, V55, P92
[5]   Guess where: The position of correct answers in multiple-choice test items as a psychometric variable [J].
Attali, Y ;
Bar-Hillel, M .
JOURNAL OF EDUCATIONAL MEASUREMENT, 2003, 40 (02) :109-128
[6]   Test scores, noncognitive skills and economic growth [J].
Balart, Pau ;
Oosterveen, Matthijs ;
Webbink, Dinand .
ECONOMICS OF EDUCATION REVIEW, 2018, 63 :134-153
[7]  
Braun H, 2011, TEACH COLL REC, V113, P2309
[8]   Bayesian IRT guessing models for partial guessing behaviors [J].
Cao, Jing ;
Stokes, S. Lynne .
PSYCHOMETRIKA, 2008, 73 (02) :209-230
[9]   Stan: A Probabilistic Programming Language [J].
Carpenter, Bob ;
Gelman, Andrew ;
Hoffman, Matthew D. ;
Lee, Daniel ;
Goodrich, Ben ;
Betancourt, Michael ;
Brubaker, Marcus A. ;
Guo, Jiqiang ;
Li, Peter ;
Riddell, Allen .
JOURNAL OF STATISTICAL SOFTWARE, 2017, 76 (01) :1-29