and the Future of Work
(Oswald, Behrend, & Foster, Editors)
The OWL team researches…
The Future of the Workforce:
Employee Performance and Academic Success
- Defining and measuring individual and team performance in employment, military and academic settings (e.g., technical, non-technical, interpersonal and intrapersonal behaviors).
- Measuring key correlates of performance (e.g., promotion, certification, attrition, satisfaction).
- Understanding individual differences that contribute to performance (e.g., knowledge, skill, motivation).
The Effectiveness of the Workforce:
Workforce Readiness and Personnel Selection
- Investigating the legal implications and applications of personnel selection practices.
- Researching selection approaches that incorporate job classification, person-job fit, and web-based recruiting systems.
- Investigating school-to-work transitions, with particular attention paid to subgroups such as STEM, gender, racial/ethnic minority, first-generation college students.
The Measurement of the Workforce:
Developing Psychological Tests
- Developing and improving selection and admissions tests, metrics and systems.
- Evaluating and developing employment, licensure/certification and admissions tests used in employment, military and academic contexts (e.g., tests of job knowledge, cognitive ability, personality, biodata, situational judgment).
- Statistically modeling the psychometric reliability, validity, and structure of psychological tests.
- Determining whether tests function similarly across racial/ethnic and/or gender subgroups.
The Analysis of the Workforce:
Big Data and Modern Analytics
for Organizations and Colleges
- Using, critiquing, and extending statistical methods used in organizational research: big data and predictive modeling, meta-analysis, CFA/SEM, IRT, multilevel models, Bayesian analysis, adverse impact analysis, and other methods.
- Advising graduate students, academic and practitioner colleagues, and various stakeholders (companies, non-profits, governmental agencies, legal firms) on their statistical analyses, particularly those relevant to organizational research and practice.
- Teaching statistical methodologies in graduate seminars, short courses, and workshops (e.g., at universities, conferences, and government agencies).