The list below is a collection of the most frequent references provided to researchers by the ISCC team. The list is not exhaustive, and it continues to grow with each passing year. If you have questions or recommendations regarding a reference for a topic not on the list, please send an email to ISCC@indiana.edu and we will respond as quickly as we can with any information we can provide.
Montgomery, D. C., (2012). Design and analysis of experiments. Hoboken, New Jersey: John Wiley & Sons Inc.
Field, A., (2013). Discovering Statistics Using (IBM) SPSS. Los Angeles | London | New Delhi | Singapore | Washington DC: SAGE Publications.
Stroup, W. W. (2013). Generalized linear mixed models: Modern concepts, methods and applications. Boca Raton, Florida: CRC Press.
West, B. T., Welch, K. B., & Galecki, A. T., (2007). Linear mixed models: A practical guide using statistical software. Boca Raton, Florida: Chapman & Hall/CRC.
Baayen, R. H. (2008). Analyzing linguistic data: A practical introduction to statistics using R. New York, New York: Cambridge University Press.
Hox, J. J. (2010). Multilevel analysis: Techniques and applications. New York, New York: Routledge.
Hosmer, D. W., & Lemeshow, S., (2013). Applied logistic regression (3rd Edition). Hoboken, New Jersey: John Wiley & Sons Inc.
Singer, J. D., & Willet, J. B. (2003). Applied longitudinal data analysis: Modeling change and event occurrence. New York, New York: Oxford University Press.
Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York, New York: The Guilford Press.
Byrne, B. M., (2012). Structural equation modeling with Mplus: Basic concepts, applications, and programming. Boca Raton, Florida: Taylor & Francis Group.
Papers (some content pending)
Jackson, D. L., et al. (2009). "Reporting Practices in Confirmatory Factor Analysis: An Overview and Some Recommendations." Psychological Methods 14(1).
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences. Hillsdale, New Jersey, Lawrence Erlbaum Associates.
Fritz, C. O., et al. (2011). "Effect Size Estimates: Current Use, Calculations, and Interpretation." Journal of Experimental Psychology 141(1).
Baayen, R. H., et al. (2008). "Mixed-Effects Modeling with Crossed Random Effects for Subjects and Items." Journal of Memory and Language 59.
Barr, D. J., et al. (2013). "Random Effects Structure for Confirmatory Hypothesis Testing: Keep it Maximal." Journal of Memory and Language 68.
Liu, C., et al. (2007). "Random and Repeated Statements - How to Use Them to Model the Covariance Structure in Proc Mixed."
Kraha, A., et al. (2012). "Tools to Support Interpreting Multiple Regression in the Face of Multicollinearity." Frontiers in Psychology 3.
Benjamini, Y., Hochberg, Y. (1995). "Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing." Journal of the Royal Statistics Society. Series B (Methodological), Vol. 57, No. 1.
Tukey, J. W. (1991). "The Philosophy of Multiple Comparisons." Statistical Science, Vol. 6, No. 1.
Dimitrov, D. M. and P. D. Rumrill Jr. (2003). "Prettest-Posttest Designs and Measurement of Change."
Hyer, J. M. and J. L. Waller (2014). Comparison of Five Analytic Techniques for Two-Group, Pre-Post Repeated Measures Designs Using SAS.
Box, G. E. P. and G. S. Watson (1962). "Robustness to Non-Normality of Regression Tests." Biometrika 49(1).
Wagner, A. K., et al. (2002). "Segmented Regression Analysis of Interrupted Time Series Studies in Medication Use Research." Journal of Clinical Pharmacy and Therapeutics.
Shrout, P. E. and J. L. Fleiss (1979). "Intraclass Correlations: Uses in Assessing Rater Reliability." Psychological Bulletin 86(2).
Tanaka, J. S. (1987). ""How Big Is Big Enough?": Sample Size and Goodness of Fit in Structural Equation Models with Latent Variables." Child Development 58(1).
Yuan, K.-H., et al. (2005). "The Effect of Skewness and Kurtosis on Mean and Covariance Structure Analysis." Sociological Methods & Research 34(2).
Muthen, B. "Latent Variable Modeling in Heterogeneous Populations." Psychometrika 54(4).
Iacobucci, D. (2009). "Structural Equation Modeling: Fit Indices, Sample Size, and Advanced Topics." Journal of Consumer Psychology 20.
Min, Y. and A. Agresti (2002). "Modeling Nonnegative Data with Clumping at Zero: A Survey." JIRSS 1.
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