Job performance over time is a function of latent trajectories and previous performance.

Area of Science:

• Organizational Psychology
• Human Resources Management
• Quantitative Psychology

Background:

• Prior research indicates past job performance impacts future performance and individuals exhibit distinct performance trajectories.
• Existing studies have not simultaneously modeled the autoregressive nature of performance and individual latent trajectories.

Purpose of the Study:

• To introduce and demonstrate the autoregressive latent trajectory (ALT) model for analyzing job performance over time.
• To integrate the concepts of autoregression (performance influencing future performance) and latent trajectories (individual differences) within a single model.

Main Methods:

• Development of the autoregressive latent trajectory (ALT) model.
• Application of the ALT model to longitudinal job performance data (specific dataset not detailed in abstract).

Main Results:

• The study demonstrates the feasibility of incorporating both autoregressive and latent trajectory parameters in modeling job performance.
• The ALT model provides a framework for understanding the dynamic interplay between current performance, future performance, and individual differences.

Conclusions:

• The autoregressive latent trajectory (ALT) model offers a novel approach to studying job performance longitudinally.
• The findings have implications for future research designs and analytical strategies in the field of performance management.