Detecting careless responding in survey data using stochastic gradient boosting

U Schroeders, C Schmidt… - Educational and …, 2022 - journals.sagepub.com
Careless responding is a bias in survey responses that disregards the actual item content,
constituting a threat to the factor structure, reliability, and validity of psychological …

Statistical applications in educational measurement

HH Chang, C Wang, S Zhang - Annual Review of Statistics and …, 2021 - annualreviews.org
Educational measurement assigns numbers to individuals based on observed data to
represent individuals' educational properties such as abilities, aptitudes, achievements …

Combining clickstream analyses and graph-modeled data clustering for identifying common response processes

E Ulitzsch, Q He, V Ulitzsch, H Molter, A Nichterlein… - psychometrika, 2021 - Springer
Complex interactive test items are becoming more widely used in assessments. Being
computer-administered, assessments using interactive items allow logging time-stamped …

A mixture model for random responding behavior in forced-choice noncognitive assessment: Implication and application in organizational research

S Peng, K Man, BP Veldkamp… - Organizational …, 2023 - journals.sagepub.com
For various reasons, respondents to forced-choice assessments (typically used for
noncognitive psychological constructs) may respond randomly to individual items due to …

A multilevel mixture IRT framework for modeling response times as predictors or indicators of response engagement in IRT models

G Nagy, E Ulitzsch - Educational and Psychological …, 2022 - journals.sagepub.com
Disengaged item responses pose a threat to the validity of the results provided by large-
scale assessments. Several procedures for identifying disengaged responses on the basis …

Exploration of the stacking ensemble machine learning algorithm for cheating detection in large-scale assessment

T Zhou, H Jiao - Educational and Psychological …, 2023 - journals.sagepub.com
Cheating detection in large-scale assessment received considerable attention in the extant
literature. However, none of the previous studies in this line of research investigated the …

Detecting examinees with item preknowledge in large-scale testing using extreme gradient boosting (XGBoost)

C Zopluoglu - Educational and psychological measurement, 2019 - journals.sagepub.com
Researchers frequently use machine-learning methods in many fields. In the area of
detecting fraud in testing, there have been relatively few studies that have used these …

Leveraging response times in learning environments: opportunities and challenges

R Pelánek - User Modeling and User-Adapted Interaction, 2023 - Springer
Computer-based learning environments can easily collect student response times. These
can be used for multiple purposes, such as modeling student knowledge and affect, domain …

A mixture model for responses and response times with a higher‐order ability structure to detect rapid guessing behaviour

J Lu, C Wang, J Zhang, J Tao - British Journal of Mathematical …, 2020 - Wiley Online Library
Many educational and psychological assessments focus on multidimensional latent traits
that often have a hierarchical structure to provide both overall‐level information and fine …

The use of item scores and response times to detect examinees who may have benefited from item preknowledge

S Sinharay, MS Johnson - British Journal of Mathematical and …, 2020 - Wiley Online Library
According to Wollack and Schoenig (2018, The Sage encyclopedia of educational research,
measurement, and evaluation. Thousand Oaks, CA: Sage, 260), benefiting from item …