SHL’s Research Publications

Das, S. D., Vadi, Y., Unnam, A., & Yadav, K. (2023). Unsupervised Out-of-Distribution Dialect Detection with Mahalanobis Distance. Proc. INTERSPEECH 2023, 1978-1982, doi: 10.21437, August 2023. Link
Yadav, K., Seemendra, A., Singhania, A., Bora, S., Dubey, P., & Aggarwal, V. (2023). Interviewing the Interviewer: AI-generated Insights to Help Conduct Candidate-centric Interviews. IUI '23: Proceedings of the 28th International Conference on Intelligent User Interfaces. Association for Computing Machinery, March 2023, 723–736. Link
Raines, F. E., Aziz, S., Allen, K. S., Wuensch, K. L., Schoemann, A., & Meaden, J. (2023). Burning Both Ends: Examining Overload, Trait Motivation, and Burnout Through the Person-Environment Interaction. Journal of Organizational Psychology, 23(1), 64 - 77. Link

Allen, K. S., & Burnard, M. (2022). Using Inclusive Assessments to Support Ethical Decision Making in Organizations. Industrial and Organizational Psychology: Perspectives on Science and Practice. Industrial and Organizational Psychology, 15, 2. 246 – 249. Link
Popp, E., Allen, K., & Gutierrez, S. L. (2022). Adding Competency Models to the Pay Equity. Toolbox. Industrial and Organizational Psychology, 15, 70-72. Link
Affourtit, M., Allen, K. S., Reddock, C., & Fursman, P. (2022). Comparing Empirically Keyed and Random Forest Scoring Models in Biodata Assessments. Personnel Assessments and Decisions, 8, 62-68. Link
Lin, Y., Brown, A., Williams, P. (2022). Multidimensional Forced-Choice CAT with Dominance Items: An Empirical Comparison with Optimal Static Testing under Different Desirability Matching. Educational and Psychological Measurement, 1-29. Link

Popp, E., & Coughlin, C. (2021). Percentage of confusion accounted for. Industrial and Organizational Psychology, 14(4), 518-520. Link

Lin, Y. (2021). Reliability Estimates for IRT-Based Forced-Choice Assessment Scores. Organizational Research Methods. March 2021. Link

Lin, Y., Livesey, A., & Tuzinski, K. (2021). Assessing Competencies in the Workplace: Developing a Modular Measure with Universal Applicability. Journal of Applied Testing Technology, 22(2), 1-20. Link

Grelle, D. & Popp, E. (2021). Considering the Interaction of Individual Differences and Remote Work Contexts. Industrial and Organizational Psychology. Link

Popp, E., & Popp, N. (2021). Ethical tactics. Industrial and Organizational Psychology, 14(3), 357- 359.
Johnson, J.W. (2021). Identifying the best-fit leaders for the pandemic context. Industrial and Organizational Psychology, 14, 123-125.

Johnson, J. W. (2020). Taking action to drive change through survey key driver analysis. In W. H. Macey & A. A. Fink (Eds.), Employee surveys and sensing (pp. 256-273). New York: Oxford University Press. Link

Reddock, C. M., Auer, E. M., & Landers, R. N. (2020). A theory of branched situational judgment tests and their applicant reactions. Journal of Managerial Psychology, 35(4), 255-270. Link

Allen, K. S., Geimer, J. L., & Popp, E. (2020). Context matters: Developing peer reviewers to advance science and practice. Industrial and Organizational Psychology, 13, 57-60. Link

Allen, K. S., Gutierrez, S. L., van Someren, G. (2020) What’s age got to do with It? You may be surprised. Industrial and Organizational Psychology, 13, 403-407. Link

Geimer, J. L., Landers, R. N., and Solberg, E. G. (2020). Enabling practical research for the benefit of  organizations and society. Industrial and Organizational Psychology, 13, 334–338. Link

Allen, K. S, Affourtit, M., & Reddock, C. M. (2020). The machines aren’t taking over (yet): An empirical comparison of traditional, profiling, and machine learning approaches to criterion-related validation. Personnel Assessment and Decisions, 6(3), Article 2. Link

Strong, M., Burkholder, G. J., Solberg, E., Stellmack, A., Presson, W., & Seitz, J. (2020). Development and Validation of a Global Competency Framework for Preparing New Graduates for Early Career Professional Roles. Higher Learning Research Communications, 10 (2).
Tippings, N. T., Solberg, E., & Singla, N. (2020). Decisions in the Operational Use of Employee Selection Procedures: Choosing, Evaluating, and Administering Assessment Tools. In J. L. Farr and N. T. Tippins (Eds.), Handbook of Employee Selection (pp. 367-387). New York: Routledge.

Unnam, Abhishek; Takhar, Rohit; Aggarwal, Varun (2019). “Grading Emails and Generating Feedback”, EDM, ERIC - ED599205 - Grading Emails and Generating Feedback, International Educational Data Mining Society, 2019-Jul Link

Takhar, R., & Aggarwal, V. (2019). Grading Uncompilable Programs. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 9389-9396. Link

Bhanu Pratap Singh, Varun Aggarwal (2016). “Apps to Measure Motor Skills of Vocational Workers”, UbiComp, Pages 340–350. Link

Gursimran Singh, Shashank Srikant, Varun Aggarwal (2016). “Question Independent Grading using Machine Learning: The Case of Computer Program Grading”, KDD, Pages 263–272. Link

Varun Aggarwal, Shashank Srikant and Harsh Nisar (March 2016). AMEO 2015 - A dataset comprising AMCAT test scores, biodata details and employment outcomes of job seekers”, CODS, Article No.: 27, Pages 1–2. Link

Vinay Shashidhar, Nishant Pandey, Varun Aggarwal, “Spoken English Grading: Machine Learning with Crowd Intelligence” August 2015, KDD, Pages 2089–2097. Link

Shashidhar, Vinay & Aggarwal, Varun & Srikant, Shashank (2015). Learning Models for Personalized Educational Feedback and Job Selection. ICML, Learning Models for Personalized Educational Feedback and Job Selection (ml4ed.cc) Link

Shashidhar, V., Pandey, N., & Aggarwal, V. (2015). Automatic Spontaneous Speech Grading: A Novel Feature Derivation Technique using the Crowd. ACL. Link

Shashank Srikant, Varun Aggarwal (August 2014). “A system to grade computer programming skills using machine learning”, KDD, Pages 1887–1896. Link

Aggarwal, Varun & Shashidhar, Vinay & Srikant, Shashank (2013). Principles for using Machine Learning in the Assessment of Open Response Items: Programming Assessment as a Case Study. NIPS, NIPS_paper.pdf (aspiringminds.com) Link

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We publish a quarterly newsletter to keep you up to date on our latest research in talent acquisition and talent management.

If you are an academic and would like to perform research in cooperation with SHL Labs, reach out to us.