为了让结构方程模型（SEM）具有良好的拟合，我们往往对因子载荷有一个最低要求， 但是最低多少呢， 并没有严格的标准， 我搜索了全网，找到一些参考的值，大家可以看看，参考文献在最下面。
中文版
因子载荷是潜在变量和观察指标之间的相关性。因子载荷的“必要”强度取决于两者之间理论上假定的关系，这又取决于潜在变量的假定含义。
- Hair等人（2006）-标准化载荷估计值应为0.5或更高，理想情况下为0.7或更高。
- 另一方面，Field（2005）建议，如果一个因子具有至少4个0.6或更高的载荷，则应将其视为可靠，而不考虑样本大小。
- Stevens（1992）建议使用0.4的截止值，无论样本大小如何，以进行解释性目的。
- Comrey和Lee（1992）建议使用更严格的截止值，从0.32（差），0.45（一般），0.55（好），0.63（非常好）或0.71（优秀）。
英文版：
Factor loading is a supposed correlation between a latent variable and an observed indicator. The “necessary” strength of the factor loadings depends on the theoretically assumed relationship between both - which in turn depends on the supposed meaning of the latent variable.
• Hair et al (2006) - standardized loading estimates should be 0.5 or higher, and ideally 0.7 or higher.
• On the other hand, Field (2005) suggests to regard a factor as reliable if it has four or more loadings of at least 0.6 regardless of sample size.
• Stevens (1992) suggests using a cut-off of 0.4, irrespective of sample size, for interpretative purposes.
• Comrey and Lee (1992) in suggesting using more stringent cut-offs going from 0.32 (poor), 0.45 (fair), 0.55 (good), 0.63 (very good), or 0.71 (excellent).
References:
Hair, J. F. Jr., Black, W. C., Babin, B. J., Anderson R. E., & Tatham, R. L. (2006). Multivariate Data Analysis (6th ed.), Upper Saddle River, NJ: Prentice Education, Inc.
FIELD, A.(2005). Discovering Statistics Using SPSS. London: SAGE Publications
Stevens, J. (1992). Applied multivariate statistics for the social sciences. (2nd ed.). Hillsdale, New Jersey: Lawrence Erlbaum Associates.
Comrey, A. L., & Lee, H. B. (1992). Interpretation and application of factor analytic results. Comrey AL, Lee HB. A first course in factor analysis, 2, 1992.
