2017 journal article

Careless response and attrition as sources of bias in online survey assessments of personality traits and performance

COMPUTERS IN HUMAN BEHAVIOR, 76, 417–430.

By: M. Ward*, A. Meade n, C. Allred n, G. Pappalardo n & J. Stoughton*

author keywords: Careless responding; Insufficient effort responding; Surveys; Attrition; Personality; Performance
TL;DR: Findings from the current studies and extant literature are suggested to improve the accuracy of the measured relationships between variables like personality and performance, and enhance the defensibility of conclusions. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2015 conference paper

Modeling analytics as knowledge work: Computing meets organizational psychology

Proceedings - International Conference on Research Challenges in Information Science, 2015-June(June), 382–387.

By: G. Yuan n, N. Ajmeri n, C. Allred n, P. Telang*, M. Wilson n & M. Singh n

Contributors: G. Yuan n, N. Ajmeri n, C. Allred n, P. Telang*, M. Wilson n & M. Singh n

Event: at United States

TL;DR: This paper exploits knowledge from organizational psychology to develop a computational organizational model that provides a framework to understand the impact of organizational level variables and worker characteristics on workflow performance, providing a view to create justifiable interventions to improve performance. (via Semantic Scholar)
Sources: NC State University Libraries, ORCID
Added: August 6, 2018

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.