Grounded in theory
Kahn (1990); Schaufeli et al. (2002); May, Gilson & Harter (2004); Rich et al. (2010); Soane et al. (2012).
The current SATJES dissertation framework, presented as research in progress.
Explore the FrameworkKahn (1990); Schaufeli et al. (2002); May, Gilson & Harter (2004); Rich et al. (2010); Soane et al. (2012).
SATJES distinguishes task engagement from social engagement. Each is examined through cognitive, affective, and physical facets.
SATJES is dissertation research in progress. It is not presented as a published scale, released dataset, scoring guide, or unrestricted commercial assessment.
Russell Steiner is completing his I-O Psychology PhD at the University of Akron. His dissertation develops SATJES to examine task and social forms of job engagement without collapsing them into one undifferentiated score.
The task domain focuses on how people invest themselves in the work itself.
The social domain focuses on how people invest themselves in work-related interaction and connection.
Define task and social engagement precisely enough that their facets can be evaluated without overstating what the measure currently establishes.
Examine item behavior, factor structure, reliability, validity evidence, and interpretability as the dissertation progresses.
Keep academic development separate from any future applied use; broader use would require documentation and validation for the intended population and decision.
The current dissertation is SATJES, centered on task engagement and social engagement with cognitive, affective, and physical facets.
Measurement development, empirical evaluation, and dissertation completion remain ongoing.
PrimeStata does not advertise a released SATJES dataset, scoring guide, norms, downloadable instrument, or completed commercial product.
Kahn (1990); Schaufeli et al. (2002); May et al. (2004); Rich et al. (2010); Soane et al. (2012). These sources provide theoretical context; the SATJES dissertation remains a separate work in progress.
This research most directly supports Organizational & People Analytics work where engagement, retention, and leadership signals need validated measurement and defensible analysis.
For teams exploring engagement measurement, leadership signals, or human-AI work design, this research can support applied decisions, scoped studies, and evidence-backed advisory work.