Four fit measures were used to determine the best fitting model: Comparative Fit Index (CFI), Tucker Lewis Index (TLI), Root Mean Square Error of Approximation (RMSEA), and examination of the eigenvalues of factors. The generally accepted interpretation of CFI and TLI is that values over 0.95 indicate good fit, while RMSEA less than 0.05 indicates good model fit (Kline, 1998). We stopped evaluating factor solutions once eigenvalues were <1.0, as factors with eigenvalues less than 1.0 do not explain a sufficient amount of variance in the criteria to be retained (Kaiser-Guttman rule).
