Scale Analysis
The Job Performance and Adaptability Scale (ΚΑΠΕ) is a tool developed based on the theories of job performance (Campbell, 1990) and adaptability (Pulakos et al., 2000). Its purpose is to evaluate professional effectiveness and the ability to adapt to different work environments.
Objective
The main goal of the ΚΑΠΕ is to measure job performance by assessing the quality, accuracy, and contribution of the employee to organizational goals, as well as their adaptability — focusing on the ability to handle changes, new technologies, and increased demands.
Structure & Content
The structure of the tool includes two subscales.
The first, the Performance subscale, contains questions related to task execution, teamwork, and decision-making — for example: “I complete my tasks within deadlines.”
The second, the Adaptability subscale, includes questions on flexibility, resilience, and openness to change — such as: “I easily respond to new job demands.”
Response Scale
Participants respond using a 5-point Likert scale (1 = “Strongly disagree”, 5 = “Strongly agree”).
Completion time is estimated at 15–20 minutes. Interpretation of results shows that high scores in performance indicate high professional effectiveness, while high scores in adaptability indicate a strong capacity to manage change.
Statistical Analysis
The validity of the ΚΑΠΕ has been confirmed through convergent validity in relation to other performance assessment tools. Its two-factor structure (performance & adaptability) was confirmed via factor analysis.
Validity
The reliability of the ΚΑΠΕ is high, with Cronbach’s alpha exceeding 0.85 for both subscales.
Reliability
The literature supporting the ΚΑΠΕ includes the works of:
Campbell (1990): “Modeling the performance prediction problem in industrial and organizational psychology”, and
Pulakos et al. (2000): “Adaptability in the workplace: Development of a taxonomy of adaptive performance.”
References
The ΚΑΠΕ is available through academic institutions, research centers, and organizations specializing in human resource management.