A Dynamic Model of the Longitudinal Relationship between Job Satisfaction and Supervisor‐Rated Job Performance
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Job satisfaction and job performance represent two of the most important and popular constructs investigated in organisational psychology. Issues relating to the nature and significance of their relationship has fascinated organisational researchers since the beginning of this discipline. In the present study, we aimed to clarify the direction of plausible influences between these two constructs by using a dynamic latent difference score model (McArdle, ) and a large sample of employees who were followed for five years ( N = 1,004). The findings provided support for a reciprocal model of relationships. Satisfied workers generally demonstrated higher job performance over time than did unsatisfied workers. Job performance, however, is a significant contributor of an individual's satisfaction with their work. The contribution of this study to the literature lies in its use of Latent Difference Score models to more accurately capture the longitudinal dynamics of the relationships between job performance and job satisfaction.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it