RADAR MODEL FOR DIAGNOSING AND FORECASTING PROFESSIONAL COMPETENCIES IN CORPORATE TRAINING WITHIN THE OIL AND GAS INDUSTRY
DOI:
https://doi.org/10.47390/ydif-y2026v2i12/n37Keywords:
radar model, competency diagnostics, standard error of measurement, corporate training, oil and gas industry, forecastingAbstract
For objective diagnostics of professional competencies of oil and gas industry specialists, a radar model integrating five key competencies (K1-K5) has been developed. The model includes mathematical apparatus: score normalization, calculation of the integral index S_norm and the standard error of measurement (SEM). On a sample of 50 specialists from JSC “Uzbekneftegaz”, high sensitivity (gain of the integral index 21.3 p.p., d=1.92), reliability (α=0.94; SEM from 2.1 to 4.8 p.p.) and construct validity (CFI=0.96) are confirmed. The minimal detectable difference (2×SEM = 6-10 p.p.) for interpreting individual profiles is defined. A regression model explaining 46% of the gain variance (R^2=0.46, p<0.001) is built. The radar model has been adapted for the energy industry (pilot study n=12, α=0.87).
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