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Klint Kanopka
Klint Kanopka
Assistant Professor of Applied Statistics, New York University
Verified email at nyu.edu - Homepage
Title
Cited by
Cited by
Year
Deep knowledge tracing and engagement with moocs
K Mongkhonvanit, K Kanopka, D Lang
Proceedings of the 9th international conference on learning analytics …, 2019
412019
Rapid online assessment of reading ability
JD Yeatman, KA Tang, PM Donnelly, M Yablonski, M Ramamurthy, ...
Scientific reports 11 (1), 6396, 2021
242021
Modeling interaction and dispersion effects in the analysis of gene-by-environment interaction
BW Domingue, K Kanopka, TT Mallard, S Trejo, EM Tucker-Drob
Behavior genetics 52 (1), 56-64, 2022
152022
What Do Changes in Social-Emotional Learning Tell Us about Changes in Academic and Behavioral Outcomes?.
K Kanopka, S Claro, S Loeb, MR West, H Fricke
Policy Analysis for California Education, PACE, 2020
152020
Variation in respondent speed and its implications: Evidence from an adaptive testing scenario
BW Domingue, K Kanopka, B Stenhaug, J Soland, M Kuhfeld, S Wise, ...
Journal of Educational Measurement 58 (3), 335-363, 2021
132021
Changes in social-emotional learning: Examining student development over time
K Kanopka, S Claro, S Loeb, MR West, H Fricke
Policy Analysis for California Education, 2020
132020
Ubiquitous bias and false discovery due to model misspecification in analysis of statistical interactions: The role of the outcome’s distribution and metric properties.
BW Domingue, K Kanopka, S Trejo, M Rhemtulla, EM Tucker-Drob
Psychological Methods, 2022
112022
Speed–accuracy trade-off? Not so fast: Marginal changes in speed have inconsistent relationships with accuracy in real-world settings
BW Domingue, K Kanopka, B Stenhaug, MJ Sulik, T Beverly, M Brinkhuis, ...
Journal of Educational and Behavioral Statistics 47 (5), 576-602, 2022
112022
A probabilistic filtering approach to non‐effortful responding
E Ulitzsch, BW Domingue, R Kapoor, K Kanopka, JA Rios
Educational Measurement: Issues and Practice 42 (3), 50-64, 2023
52023
The InterModel Vigorish (IMV) as a flexible and portable approach for quantifying predictive accuracy with binary outcomes
B Domingue, C Rahal, J Faul, J Freese, K Kanopka, A Rigos, B Stenhaug, ...
SocArXiv. June 1, 2021
5*2021
The InterModel Vigorish as a lens for understanding (and quantifying) the value of item response models for dichotomously coded items
B Domingue, K Kanopka, R Kapoor, S Pohl, P Chalmers, C Rahal, ...
PsyArXiv, 2022
32022
A position sensitive IRT mixture model
K Kanopka, B Domingue
PsyArXiv, 2022
32022
Development of the alpha rhythm is linked to visual white matter pathways and visual detection performance
S Caffarra, K Kanopka, J Kruper, A Richie-Halford, E Roy, A Rokem, ...
Journal of Neuroscience 44 (6), 2024
22024
Long-term English learners’ mathematics course trajectories: downstream consequences of early remediation on college preparation
PJ Biernacki, J Altavilla, K Kanopka, H Hsieh, G Solano-Flores
International Multilingual Research Journal 17 (2), 122-138, 2023
22023
The item response warehouse (irw)
B Domingue, K Kanopka
PsyArXiv, 2023
22023
Heteroscedastic regression modeling elucidates gene-by-environment interaction
BW Domingue, K Kanopka, TT Mallard, S Trejo, EM Tucker-Drob
bioRxiv, 2020
22020
ROAR-CAT: Rapid Online Assessment of Reading ability with Computerized Adaptive Testing
WA Ma, A Richie-Halford, A Burkhardt, K Kanopka, C Chou, B Domingue, ...
PsyArXiv, 2023
12023
Computational validity
K Kanopka
Stanford University, 2023
12023
An ordinal model for analysis of years of education
B Domingue, K Kanopka, S Trejo, J Freese
OSF, 2021
12021
Distinguishing between interaction and dispersion effects in the analysis of gene-environment interaction
BW Domingue, K Kanopka, TT Mallard, S Trejo, EM Tucker-Drob
bioRxiv, 2020.09. 08.287888, 2020
12020
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