Research output per year
Research output per year
Fingerprint
Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
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Research output
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A Restricted Four-Parameter IRT Model: The Dyad Four-Parameter Normal Ogive (Dyad-4PNO) Model
Kern, J. L. & Culpepper, S. A., Sep 1 2020, In: Psychometrika. 85, 3, p. 575-599 25 p.Research output: Contribution to journal › Article › peer-review
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IRTBEMM: An R Package for Estimating IRT Models With Guessing or Slipping Parameters
Guo, S., Zheng, C. & Kern, J. L., Oct 1 2020, In: Applied Psychological Measurement. 44, 7-8, p. 566-567 2 p.Research output: Contribution to journal › Article › peer-review
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The four-parameter normal ogive model with response times
Du, Y. & Kern, J. L., 2020, Quantitative Psychology - 84th Annual Meeting of the Psychometric Society, IMPS 2019. Wiberg, M., Molenaar, D., González, J., Böckenholt, U. & Kim, J-S. (eds.). Springer, p. 55-67 13 p. (Springer Proceedings in Mathematics and Statistics; vol. 322).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Additive Trees for Fitting Three-Way (Multiple Source) Proximity Data
Koehn, H. F. & Kern, J. L., Jan 1 2019, Quantitative Psychology - 83rd Annual Meeting of the Psychometric Society, 2018. Wiberg, M., Culpepper, S., Janssen, R., González, J. & Molenaar, D. (eds.). Springer New York LLC, p. 403-413 11 p. (Springer Proceedings in Mathematics and Statistics; vol. 265).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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High-Stakes Testing Case Study: A Latent Variable Approach for Assessing Measurement and Prediction Invariance
Culpepper, S. A., Aguinis, H., Kern, J. L. & Millsap, R., Mar 15 2019, In: Psychometrika. 84, 1, p. 285-309 25 p.Research output: Contribution to journal › Article › peer-review