Construct Measurement and Latent Variable Relationships in the Workplace
Faculty Department
School of Business
Presentation Type
Powerpoint
Location
H239
Zoom Link
Start Date
February 2025
End Date
February 2025
Description (Abstract)
Concepts such as job satisfaction and organizational commitment have long been of interest to managers. Gathering reliable data, however, can be challenging. Unlike data that reflects quantities, such as numbers of hours worked or components assembled, latent variables cannot be measured directly and must be inferred from observed data on employee perceptions. Determining which observed data is relevant to appropriately identify latent variables lies in the realm of construct measurement. This research focuses on the effects of measurement construct choices on important workplace variable relationships.
Keywords
latent variables, construct measurement, job satisfaction, organizational commitment, organizational identification
Related Pillar(s)
Study
Construct Measurement and Latent Variable Relationships in the Workplace
H239
Concepts such as job satisfaction and organizational commitment have long been of interest to managers. Gathering reliable data, however, can be challenging. Unlike data that reflects quantities, such as numbers of hours worked or components assembled, latent variables cannot be measured directly and must be inferred from observed data on employee perceptions. Determining which observed data is relevant to appropriately identify latent variables lies in the realm of construct measurement. This research focuses on the effects of measurement construct choices on important workplace variable relationships.
Short Biography
Brian O'Neill, D.B.A., is an adjunct assistant professor with the School of Business. He has taught undergraduate and graduate management, organizational behavior, and capstone courses. His research interests include important workplace phenomena such as identification, commitment, and satisfaction.