Naslov
There are Many Greater Lower Bounds than Cronbach’s α: A Monte Carlo Simulation Study

Autori
Novak, Josip ; Rebernjak, Blaž

Izvornik
Measurement (Mahwah, N.J.) (1536-6367) 21 (2023), 1; 1-28

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Monte Carlo simulation ; reliability ; internal consistency ; greatest lower bound ; omega coefficient

Sažetak
A Monte Carlo simulation study was conducted to examine the performance of α, λ2, λ4, μ2, ωT, GLBMRFA, and GLBAlgebraic coefficients. Population reliability, distribution shape, sample size, test length, and number of response categories were varied simultaneously. The results indicate that α and λ2 perform the worst overall. However, the performance of α is improved if the population reliability is high. λ4 is relatively unbiased but the most imprecise. μ2 and ωT perform relatively well under most conditions. GLBAlgebraic outperforms other coefficients under many conditions. GLBMRFA is useful under few conditions if the population reliability is high. The results corroborate previous suggestions that large samples, longer tests, higher number of response categories, and normally distributed results can make reliability estimates more dependable. Some insights on the interaction of these factors are provided. We discuss the findings compared to previous research. The complete R code used for the simulation is provided in the online supplement.

Izvorni jezik
Engleski

Znanstvena područja
Psihologija, Edukacijsko-rehabilitacijske znanosti, Obrazovne znanosti (psihologija odgoja i obrazovanja, sociologija obrazovanja, politologija obrazovanja, ekonomika obrazovanja, antropologija obrazovanja, neuroznanost i rano učenje, pedagoške discipline)

POVEZANOST RADA