Tanaka Award

The Tanaka Award is named for Jeffrey Tanaka, an outstanding and well-liked member of SMEP who died in 1992. This award is given annually to the authors of the most outstanding paper published in Multivariate Behavioral Research. Each year SMEP members vote among all papers published in the journal. The awardees receive a $500 honorarium.

Past recipients of the Tanaka Award:

• 2007: Kristopher J. Preacher, University of Kansas, for his paper:

  Preacher, K. J. (2006). Quantifying parsimony in structural equation modeling. Multivariate Behavioral Research, 41(3), 227-259.

• 2006: Daniel J. Bauer and Patrick J. Curran, University of North Carolina, for their paper:

  Bauer, D. J., & Curran, P. J. (2005). Probing interactions in fixed and multilevel regression: Inferential and graphical techniques. Multivariate Behavioral Research, 40(3), 373-400.

• 2005: Roger E. Millsap and Jenn-Yun Tein, Arizona State University, for their paper:

  Millsap, R. E., & Tein, J.-Y. (2004). Assessing factorial invariance in ordered-categorical measures. Multivariate Behavioral Research, 39(3), 479-515.

• 2004: Nancy Briggs, Ohio State University, and Robert MacCallum, University of North Carolina, for their paper:

  Briggs, N. E., & MacCallum, R. C. (2003). Recovery of weak common factors by maximum likelihood and ordinary least squares estimation. Multivariate Behavioral Research, 38(1), 25-56.

• 2003: Steve Boker, University of Notre Dame, and John Nesselroade, University of Virginia, for their paper:

  Boker, S. M., & Nesselroade, J. R. (2002). A method for modeling the intrinsic dynamics of intraindividual variability: Recovering the parameters of simulated oscillators in multi-wave panel data. Multivariate Behavioral Research, 37(1), 127-160.

• 2002: Robert MacCallum, Ohio State University, Keith Widaman, University of California, Davis, Kristopher Preacher, Ohio State University, and Sehee Hong, University of California, Santa Barbara, for their paper:

  MacCallum, R. C., Widaman, K. F., Preacher, K. J., & Hong, S. (2001). Sample size in factor analysis: The role of model error. Multivariate Behavioral Research, 36(4), 611-637.

• 2001: Conor Dolon, University of Amsterdam, for his paper:

  Dolon, C. (2000). Investigating Spearman's hypothesis by means of multi-group confirmatory factor analysis. Multivariate Behavioral Research, 35, 21-50.

• 2000: Joseph Lee Rodgers, University of Oklahoma, for his paper:

  Rodgers, J. L. (1999). The bootstrap, the jackknife, and the randomizatioin test: A sampling taxonomy.  Multivariate Behavioral Research, 34, 441-456.

• 1999: Roger Millsap, Arizona State University, for his paper:

  Millsap, R. E. (1998). Group differences in regression intercepts: Implications for factorial invariance. Multivariate Behavioral Research, 33, 403-424.

• 1998: Robert MacCallum, Cheongtag Kim, William Malarkey, and Janice Kiecolt-Glaser, Ohio State University, for their paper:

  MacCallum, R. C., Kim, C., Malarkey, W. B., & Kiecolt-Glaser, J. K. (1997). Studying multivariate change using multilevel models and latent curve models. Multivariate Behavioral Research, 32, 215-253.

• 1997: Norman Cliff of University of Souther California for his paper:

  Cliff, N. (1996). Answering ordinal questions with ordinal data using ordinal statistics. Multivariate Behavioral Research, 31, 331-350.

• 1996: Charles (Chip) Reichardt of University of Denver and S. C. Coleman of Citicorp Diners Club for their paper:

  Reichardt, C. S., & Coleman, S. C. (1995). The criteria for convergent and discriminant validity in a multitrait-multimethod matrix. Multivariate Behavioral Research, 30, 513-538.

• 1995: Roger Millsap of Baruch College, CUNY, and William Meredith of University of California, Berkeley, for their paper:

  Millsap, R. E., & Meredith, W. (1994). Statistical evidence in salary discrimination studies. Multivariate Behavioral Research, 29, 339-364.

• 1994: Keith Widaman of University of California, Riverside, for his paper:

  Widaman, K. F. (1993). Common factor analysis versus principal component analysis: Differential bias in representing model parameters? Multivariate Behavioral Research, 28, 263-311.