Bliese, P.D. ( 2000). Within-group agreement, non-independence, and reliability: Implications for data aggregation and analysis. In K. J. Klein & S. W. J. Kozlowski (Eds.), Multilevel theory, research, and methods in organizations (pp. 349-381). San Francisco: Jossey-Bass.
2.
Bliese, P.D., & Hanges, P.J. ( 2004). Being both too liberal and too conservative: The perils of treating grouped data as though they were independent. Organizational Research Methods, 7, 400-417.
3.
Edwards, J.R. ( 2001). Ten difference score myths. Organizational Research Methods, 4, 265-287.
4.
George, J.M., & James, L.R. ( 1993). Personality, affect, and behavior in groups revisited: Comment on aggregation, levels of analysis, and a recent application of within and between analysis. Journal of Applied Psychology, 78, 798-804.
5.
Holland, P.W., & Leinhardt, S. ( 1981). An exponential family of probability distributions for directed graphs. Journal of the American Statistical Association , 76, 33-50.
6.
MacCallum, R.C., Roznowski, M., & Necowitz, L.B. (1992). Model modifications in covariance structure analysis: The problem of capitalization on chance. Psychological Bulletin, 111, 490-504.
7.
Robins, G., Pattison, P., Kalish, Y., & Lusher, D. ( 2007). An introduction to exponential random graph (p*) models for social networks. Social Networks, 29, 173-191.
