Use of response time for measuring cognitive ability

PC Kyllonen, J Zu - Journal of Intelligence, 2016 - mdpi.com
The purpose of this paper is to review some of the key literature on response time as it has
played a role in cognitive ability measurement, providing a historical perspective as well as …

The relationship between performance and test-taking effort when measured with self-report or time-based instruments: A meta-analytic review

G Silm, M Pedaste, K Täht - Educational Research Review, 2020 - Elsevier
Test-taking motivation (TTM) has been found to have a profound effect on low-stakes test
results. From the components of TTM test-taking effort has been shown to be the strongest …

Using process mining to analyze students' quiz-taking behavior patterns in a learning management system

L Juhaňák, J Zounek, L Rohlíková - Computers in Human Behavior, 2019 - Elsevier
The aim of this paper is to explore students' behavior and interaction patterns in different
types of online quiz-based activities within learning management systems (LMS). Analyzing …

Rapid‐guessing behavior: Its identification, interpretation, and implications

SL Wise - Educational Measurement: Issues and Practice, 2017 - Wiley Online Library
The rise of computer‐based testing has brought with it the capability to measure more
aspects of a test event than simply the answers selected or constructed by the test taker. One …

A response-time-based latent response mixture model for identifying and modeling careless and insufficient effort responding in survey data

E Ulitzsch, S Pohl, L Khorramdel, U Kroehne… - Psychometrika, 2022 - Springer
Careless and insufficient effort responding (C/IER) can pose a major threat to data quality
and, as such, to validity of inferences drawn from questionnaire data. A rich body of methods …

Leveraging process data to assess adults' problem-solving skills: Using sequence mining to identify behavioral patterns across digital tasks

Q He, F Borgonovi, M Paccagnella - Computers & Education, 2021 - Elsevier
This paper illustrates how process data can be used to identify behavioral patterns in a
computer-based problem-solving assessment. Using sequence-mining techniques, we …

A hierarchical latent response model for inferences about examinee engagement in terms of guessing and item‐level non‐response

E Ulitzsch, M von Davier, S Pohl - British Journal of …, 2020 - Wiley Online Library
In low‐stakes assessments, test performance has few or no consequences for examinees
themselves, so that examinees may not be fully engaged when answering the items. Instead …

Accounting for careless and insufficient effort responding in large-scale survey data—development, evaluation, and application of a screen-time-based weighting …

E Ulitzsch, HJ Shin, O Lüdtke - Behavior Research Methods, 2024 - Springer
Careless and insufficient effort responding (C/IER) poses a major threat to the quality of
large-scale survey data. Traditional indicator-based procedures for its detection are limited …

Evaluating the impact of careless responding on aggregated-scores: To filter unmotivated examinees or not?

JA Rios, H Guo, L Mao, OL Liu - International Journal of Testing, 2017 - Taylor & Francis
When examinees' test-taking motivation is questionable, practitioners must determine
whether careless responding is of practical concern and if so, decide on the best approach …

Using sequence mining to study students' calculator use, problem solving, and mathematics achievement in the National Assessment of Educational Progress (NAEP)

Y Jiang, GA Cayton-Hodges, LN Oláh, I Minchuk - Computers & Education, 2023 - Elsevier
Using appropriate tools strategically to aid in problem solving is a crucial skill identified in K-
12 mathematics curriculum standards. As more assessments transition from paper-and …