References
- Barnette, J. J. (2005). ScoreRelCI: An Excel program for computing confidence intervals for commonly used score reliability coefficients. Educational and Psychological Measurement, 65, 980–983.
- Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297–334.
- Donner, A. & Klar, N. (2000). Design and Analysis of Cluster Randomization Trials in Health Research. London: Arnold.
- Goldstein, H. (2011). Multilevel Statistical Models, 4th edn. Hoboken, NJ: Wiley.
- Graham, J. M. (2006). Congeneric and (essentially) tau‐equivalent estimates of score reliability: What they are and how to use them. Educational and Psychological Measurement, 66, 930–944.
- Hedeker, R. & Gibbons, R. D. (2006). Longitudinal Data Analysis. New York, NY: Wiley.
- Kline, R. B. (2011). Principles and Practices of Structural Equation Modeling, 3rd edn. New York, NY: Guilford Press.
- Larsen, R. & Warne, R. T. (2010). Estimating confidence intervals for eigenvalues in exploratory factor analysis. Behavior Research Methods, 42, 871–876.
- Liu, O. L. & Rijmen, F. (2008). A modified procedure for parallel analysis of ordered categorical data. Behavior Research Methods, 40, 556–562.
- Longford, N. T. (1993). Random Coefficient Models. New York, NY: Oxford University Press.
- Raudenbush, S. W. & Bryk, A. S. (2002). Hierarchical Linear Models: Applications and Data Analysis Methods, 2nd edn. Thousand Oaks, CA: Sage.
- Schmitt, N. (1996). Uses and abuses of coefficient alpha. Psychological Assessment, 8, 350–353.
- Singer, J. D. & Willett, J. B. (2003). Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. New York, NY: Oxford University Press.
- Smithson, M. (2003). Confidence Intervals. Thousand Oaks, CA: Sage.
- Thompson, B. (Ed.) (2003). Score Reliability: Contemporary Thinking on Reliability Issues. Thousand Oaks, CA: Sage.
- Velicer, W. F., Eaton, C. A. & Fava, J. L. (2000). Construct explication through factor or component analysis: A review and evaluation of alternative procedures for determining the number of factors or components. In R. D. Goffin & E. Helmes (Eds.), Problems and Solutions in Human Assessment: Honoring Douglas Jackson at Seventy (pp. 41–71.). Boston, MA: Kluwer.
- Verbeke, G. & Molenberghs, G. (2000). Linear Mixed Models for Longitudinal Data. New York, NY: Springer.
- West, B., Welch, K. B. & Galecki, A. T. (2006). Linear Mixed Models: A Practical Guide Using Statistical Software. Boca Raton, FL: Chapman & Hall/CRC.