Model belirlemesi, örneklem hacmi ve tahmin yönteminin yapısal eşitlik modelleri uyum ölçütlerine etkisi

Yapısal Eşitlik modelleri (YEM), ortaya çıkışı 1970’lere dayanan yeni bir metottur. Birçok araştırmacı tarafından, psikolojide, sosyolojide, biyolojide, eğitim araştırmalarında, politik bilimlerde ve pazarlama araştırmalarında kullanılmaktadır. YEM gözlenen değişkenlerin lineer bileşimi olarak yazılabilen çok sayıda içsel ve dışsal gizil değişkeni birlikte ele alan bir modelleme yöntemidir. Bu yüzden, YEM araştırmalarında model uyumunun değerlendirilmesi zorlu bir konudur. YEM’de model uyumunun deneysel olarak değerlendirilmesi ve istatistiksel tahminlerin elde edilmesinde Monte Carlo (MC) simülasyonu yaygın olarak kullanılmaya başlanmıştır. Bu çalışmada, model belirlemesinin, örneklem hacminin ve tahmin yönteminin YEM’de kullanılan uyum ölçütlerine etkisi, bir MC simülasyonu düzenlenerek araştırılmıştır.

Effects of model misspecification, sample size and estimation methods on structural equation modeling fit indices

Structural Equation Modeling (SEM) is a relatively new method, having its roots in the 1970s. Most applications have been in psychology, sociology, the biological sciences, educational research, political science, and market research. SEM is a modeling technique that can handle a large number of endogenous and exogenous variables, as well as latent variables specified as linear combinations of the observed variables. Because of this reason, the assessment of model fit in structural equation modeling (SEM) has long been a difficult issue in SEM applications. The use of Monte Carlo (MC) simulations for empirical assessment of statistical estimators and model fit is becoming more common in structural equation modeling. In this study, a Monte Carlo simulation study was conducted to investigate the effects on structural equation modeling (SEM) fit indices of, model specification, sample size and estimation method.

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