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Jeffrey M. Stanton

Jeffrey M. Stanton

D-Index & Metrics

Social Sciences and Humanities

D-Index
41
Citations
10954
World Ranking
4914
National Ranking
2328

Overview

Jeffrey M. Stanton is affiliated with Syracuse University in the United States. The researcher's work spans multiple fields, primarily focusing on Computer Science and Social Sciences, with notable contributions in subfields such as Artificial Intelligence, Sociology and Political Science, Computer Vision and Pattern Recognition, Statistics and Probability, and Management Science and Operations Research.

Their research covers a variety of topics, with a significant emphasis on Topic Modeling, Natural Language Processing Techniques, and Hate Speech and Cyberbullying Detection. Additional interests include Multimodal Machine Learning Applications, Statistical Methods in Clinical Trials, Qualitative Comparative Analysis Research, and Complex Systems and Decision Making.

Jeffrey M. Stanton has published in various venues, including:

  • arXiv (Cornell University)
  • Organizational Research Methods
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • Energy Research & Social Science
  • Journal of the Association for Information Science and Technology

Some of the recent papers authored or coauthored by Stanton include:

  • Evaluating Equivalence and Confirming the Null in the Organizational Sciences (2020), Organizational Research Methods
  • TVShowGuess: Character Comprehension in Stories as Speaker Guessing (2022), Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • Proceeding with caution: Drivers and obstacles to electric utility adoption of smart grids in the United States (2022), Energy Research & Social Science
  • Risks, benefits, and control of information: Two studies of smart electric meter privacy (2020), Journal of the Association for Information Science and Technology
  • A Survey of Machine Narrative Reading Comprehension Assessments (2022), arXiv (Cornell University)

Frequent collaborators include Yisi Sang, Xiangyang Mou, Jing Li, and Mo Yu. The collaboration with Yisi Sang is the most recurrent, reflecting their joint efforts on natural language processing and machine comprehension assessments.

Best Publications

  • Introduction: Understanding and Dealing With Organizational Survey Nonresponse

    Steven G. Rogelberg;Jeffrey M. Stanton

  • Analysis of end user security behaviors

    Jeffrey M. Stanton;Kathryn R. Stam;Paul Mastrangelo;Jeffrey Jolton

  • AN EMPIRICAL ASSESSMENT OF DATA COLLECTION USING THE INTERNET

    Jeffrey M. Stanton

  • ISSUES AND STRATEGIES FOR REDUCING THE LENGTH OF SELF-REPORT SCALES

    Jeffrey M. Stanton;Evan F. Sinar;William K. Balzer;Patricia C. Smith

  • A General Measure of Work Stress: The Stress in General Scale

    Jeffrey M. Stanton;William K. Balzer;Patricia C. Smith;Luis Fernando Parra

  • Reactions to Employee Performance Monitoring: Framework, Review, and Research Directions

    Jeffrey M. Stanton

  • Shorter can Also be Better: The Abridged Job in General Scale

    Steven S. Russell;Christiane Spitzmüller;Lilly F. Lin;Jeffrey M. Stanton

  • Religion An Overlooked Dimension in Cross-Cultural Psychology

    Nalini Tarakeshwar;Jeffrey Stanton;Kenneth I. Pargament

  • A lengthy look at the daily grind: time series analysis of events, mood, stress, and satisfaction.

    Julie A. Fuller;Jeffrey M. Stanton;Gwenith G. Fisher;Christiane Spitzmüller

  • Development of a Compact Measure of Job Satisfaction: The Abridged Job Descriptive Index

    Jeffrey M. Stanton;Evan F. Sinar;William K. Balzer;Amanda L. Julian

  • Using Internet/Intranet Web Pages to Collect Organizational Research Data:

    Jeffrey M. Stanton;Steven G. Rogelberg

  • Understanding and Dealing With Organizational Survey Nonresponse

    Steven G. Rogelberg;Jeffrey M. Stanton

  • Galton, Pearson, and the Peas: A Brief History of Linear Regression for Statistics Instructors

    Jeffrey M. Stanton

  • Effects of electronic performance monitoring on personal control, task satisfaction, and task performance

    Jeffrey M. Stanton;Janet L. Barnes-Farrell

  • Company profile of the frequent internet user

    Jeffrey M. Stanton

  • Organizational Cultures of Libraries as a Strategic Resource

    Michelle L. Kaarst-Brown;Scott Nicholson;Gisela M. von Dran;Jeffrey M. Stanton

  • Institutional and individual factors affecting scientists' data-sharing behaviors: A multilevel analysis

    Youngseek Kim;Jeffrey M. Stanton

  • Electronic monitoring in their own words: an exploratory study of employees' experiences with new types of surveillance

    J.M Stanton;E.M Weiss

  • Information Technology, Privacy, and Power within Organizations: a view from Boundary Theory and Social Exchange perspectives.

    Jeffrey M. Stanton;Kathryn R. Stam

  • Designing and implementing culturally-sensitive IT applications: The interaction of culture values and privacy issues in the Middle East

    Norhayati Zakaria;Jeffrey M. Stanton;Shreya T.M. Sarkar‐Barney

Frequent Co-Authors

Steven G. Rogelberg
Steven G. Rogelberg University of North Carolina at Charlotte
Jason Dedrick
Jason Dedrick Syracuse University
Gail Ironson
Gail Ironson University of Miami
Gwenith G. Fisher
Gwenith G. Fisher Colorado State University
Janet L. Barnes-Farrell
Janet L. Barnes-Farrell University of Connecticut
Charlie L. Reeve
Charlie L. Reeve University of North Carolina at Charlotte
Kenneth I. Pargament
Kenneth I. Pargament Bowling Green State University
Scott Highhouse
Scott Highhouse Bowling Green State University

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