Researchers face a tradeoff when applying latent variable models to time-series, cross-section*al data. Static models minimize bias but assume data are temporally independent, resulting in a loss of e
- Lisrel could not converge upon a stable solution. min t = minimum T score; rmsea = root mean square error of approximation. AIC = Akaike Information Criterion; rmr = standardized root mean residual
Background As the pace of economic development slows, college students are facing an increasingly challenging employment landscape. For instance, the expansion of higher education has led to a swell i
