References - Vanderbilt Business School

Keppel, Geoffrey (1991), Design and Analysis: A Researcher’s Handbook (3rd ed.),
Englewood Cliffs, NY: Prentice Hall.
Great intro, especially for non-quant people; i.e., lots of good verbal
More recent: Keppel, Geoffrey and Thomas D. Wickens (2004), Design and
Analysis: A Researcher’s Handbook (4th ed.), Englewood Cliffs, NY: Prentice Hall.
Iversen, Gudmund R. and Helmut Norpoth (19xx), Analysis of Variance, Sage.
Succinct (I LOVE these little green Sage paperback primers!)
B. Hays, William L. (1988), Statistics (4th ed.), NY: Holt, Rinehart & Winston.
Kirk, Roger (1982), Experimental design: Procedures for the Behavioral sciences,
Belmont, CA: Brooks/Cole Publishing Co.
Snedecor, George W. and William G. Cochran (1980), Statistical Methods, (7th ed.),
Ames, IA: Iowa State University Press.
Scheffé, Henry (1959), The Analysis of Variance, NY: Wiley.
A little more “math-stat-y” (harder for some)
Also: Iacobucci, Dawn (1994). “Analysis of Experimental Data,” in Richard Bagozzi (ed.),
Principles of Marketing Research, Cambridge, MA: Blackwell, 224-278.
Inspired, what can I say.  If you can’t find it, email me and I’ll send you a copy.
ANCOVA (Analysis of Covariance)
Edwards, Allen L. (1979), Multiple Regression and the Analysis of Variance and
Covariance, NY: Freeman.
Wildt, A. R., and Ahtola, O. (1978), Analysis of Covariance, Beverly Hills, CA: Sage
Maxwell, Scott E., Harold D. Delaney, and Charles A. Dill (1984), “Another Look at
ANCOVA Versus Blocking,” Psych Bull, 95 (1), 136-147.
Experimental Design Books
Classics and reviewers will take these as high credibility:
Box, George E. P., J. Stuart Hunter, and William G. Hunter (2005), Statistics for
Experimenters: Design, Innovation, and Discovery 2nd ed., New York: Wiley.
Box, George E. P., William G. Hunter and J. Stuart Hunter (1978), Statistics for
Experimenters: An Introduction to Design, Data Analysis and Model Building, NY: Wiley.
Cochran, William G. and Gertrude M. Cox (1957), Experimental Designs, NY: Wiley.
Cox, D. R. (1958), Planning of Experiments, NY: Wiley.
Hicks, Charles R. (1982), Fundamental Concepts in the Design of Experiments 3rd ed.,
New York: CBS College Publishing.
Snedecor, George W. and William G. Cochran (1980) Statistical Methods 7th ed., Ames,
IA: The Iowa State University Press.
Winer, B. J., Donald R. Brown, Kenneth M. Michels (1991), Statistical Principles in
Experimental Design 3rd ed., NY: McGraw-Hill.
Experimental Design Books
Also very good:
• Berger, Paul D. and Robert W. Maurer (2002), Experimental Design: With Applications in
Management, Engineering, and the Sciences, Belmont, CA: Wadsworth.
• Brown, Steven R. and Lawrence E. Melamed (1990), Experimental Design and Analysis,
Newbury Park, CA: Sage.
• John, Peter W. M. (1971), Statistical Design and Analysis of Experiments, NY: Macmillan.
• Kirk, Roger E. (1982), Experimental Design: Procedures for the Behavioral Sciences (2nd
ed.), Belmont, CA: Brooks/Cole (pp.778-805).
• Rosenthal, Robert, and Ralph L. Rosnow (1991) Essentials of Behavioral Research:
Methods and Data Analysis 2nd ed., Boston, MA: McGraw-Hill.
• Spector, Paul E. (1981), Research Designs, Newbury Park, CA: Sage.
Experimental Design: Special Topics
Davison, Mark L. and Anu R. Sharma (1990), “Parametric Statistics and Levels of
Measurement: Factorial Designs and Multiple Regression,” Psychological Bulletin, 107
(3) 397-400.
Gardner, David M. and Russell W. Belk (1980), A Basic Bibliography on Experimental
Design in Marketing, Bibliography Series No.37, Chicago: AMA.
Hinkelmann, Klaus and Oscar Kempthorne (1994), Design and Analysis of Experiments,
Volume 1: Introduction to Experimental Design, NY: Wiley.
John, J. A. (1987), Cyclic Designs, London: Chapman & Hall.
Maxwell, Scott E. and Harold D. Delaney (1990) Designing Experiments and Analyzing
Data: A Model Comparison Perspective, Belmont, CA: Wadsworth.
Pedhazur, Elazar J. and Liora Pedhazur Schmelkin (1991), Measurement, Design, and
Analysis: An Integrated Approach, Hillsdale, NJ: Erlbaum.
Tabachnick, Barbara G. and Linda S. Fidell (2001), Computer-Assisted Research Design
and Analysis, Needham Heights, MA: Allyn & Bacon.
Experimental Designs
Quasi-Experimental Design:
• Campbell, Donald T. and Julian C. Stanley (1963) Experimental and Quasi-Experimental
Designs for Research, Chicago, IL: Rand McNally.
• Cook, Thomas D. and Donald T. Campbell (1979) Quasi-Experimentation: Design &
Analysis Issues for Field Settings, Boston, MA: Houghton Mifflin.
Within-Subjects Designs:
• Girden, Ellen R. (1992), ANOVA: Repeated Measures, Newbury Park, CA: Sage.
• Greenwald, Anthony G. (1976), “Within-Subjects Designs: To Use or Not To Use?,”
Psychological Bulletin, 83 (2), 314-320.
Random vs. Fixed Factors and Designs:
• Jackson, Sally and Dale E. Brashers. (1994), Random Factors in ANOVA, Thousand Oaks,
CA: Sage.
• & my review of that book in the Journal of Marketing Research 32 (May), 238-239.
Jaccard, James (1998), Interaction Effects in Factorial Analysis of Variance, Thousand
Oaks, CA: Sage.
References: Unbalanced Data (Unequal Cell n’s)
Unbalanced designs, missing data:
Little, Roderick J. A. and Donald B. Rubin (1987), Statistical Analysis with Missing Data,
NY: Wiley.
Schendel, U. (1989), Sparse Matrices: Numerical Aspects with Applications for Scientists
and Engineers, NY: Wiley.
Searle, S. R. (1987), Linear Models for Unbalanced Data, New York: Wiley.
Iacobucci, Dawn (1995), “The Analysis of Variance for Unbalanced Data,” in David W.
Stewart and Naufel J. Vilcassim (eds.), 1995 AMA Winter Educators’ Conference:
Marketing Theory and Applications, 6, Chicago: AMA, 337-343.
Kish, Leslie (1965), Survey Sampling, NY: Wiley.
Thompson, Steven K. (1992), Sampling, NY: Wiley.
Experimental Design: Managerial Articles
Almquist, Eric and Gordon Wyner (2001), “Boost Your Marketing ROI with Experimental
Design,” Harvard Business Review, 79 (9), 135-141.
Anderson, Eric T. and Duncan Simester (2011), “A Step-by-Step Guide to Smart Business
Experiments,” Harvard Business Review, 89 (3), 98-105.
Matrix Algebra: Books
Both of these books have excellent sections on matrix algebra:
Kirk, Roger E. (1982), Experimental Design: Procedures for the Behavioral Sciences (2nd
ed.), Belmont, CA: Brooks/Cole (pp.778-805).
Morrison, D. F. (1976), Multivariate Statistical Methods (2nd ed.), NY: McGraw-Hill
MANOVA (Multivariate ANOVA) Books
Bray, James H. and Scott E. Maxwell (1985), Multivariate Analysis of Variance, Sage.
Manly, Bryan F. J. (1986), Multivariate Statistical Methods: A Primer, London & NY:
Chapman and Hall.
• Harris (1985), “Chapter 3: Hotelling’s T2: Tests on One or Two Mean Vectors,” in his book,
A Primer of Multivariate Statistics.
• Most general “multivariate stats” books cover MANOVA also, albeit briefly.
MANOVA Articles
Bird, Kevin D. and Dusan Hadzi-Pavlovic (1983), “Simultaneous Test Procedures and the
Choice of a Test Statistic in MANOVA,” Psychological Bulletin, 93 (1), 167-178.
Hakstian, A. Ralph, J. Christian Roed, and John C. Lind (1979), “Two-Sample T2 Procedure
and the Assumption of Homogeneous Covariance Matrices,” Psychological Bulletin, 86
(6), 1255-1263.
References: Power (Re: Sample Size)
Cohen, Jacob (1992), “A Power Primer,” Psychological Bulletin, 112 (1), 155-159.
Holland, Burt S. and Margaret DiPonzio Copenhaver (1988), “Improved Bonferroni-Type
Multiple Testing Procedures,” Psychological Bulletin, 104 (1), 145-149.
Keselman, H. J., Paul A. Games, and Joanne C. Rogan (1980), “Type I and Type II Errors
in Simultaneous and Two-Stage Multiple Comparison Procedures,” Psychological
Bulletin, 98 (2), 356-358.
Kraemer, Helena Chmura and Sue Thiemann (1987), How Many Subjects?: Statistical
Power Analysis in Research, Newbury Park, CA: Sage.
Levine, Douglas W. and William P. Dunlap (1982), “Power of the F Test With Skewed
Data: Should One Transform or Not?,” Psychological Bulletin, 92, 272-280.
Maxwell, Scott E. and David A. Cole (1991), “A Comparison of Methods for Increasing
Power in Randomized Between-Subjects Designs,” Psychological Bulletin, 110 (2), 328337.
Ryan, T. A. (1980), “Comment on ‘Protecting the Overall Rate of Type I Errors for
Pairwise Comparisons With an Omnibus Test Statistic’,” Psychological Bulletin, 98 (2),
Wahlsten, Douglas (1991), “Sample Size to Detect a Planned Contrast and a One
Degree-of-Freedom Interaction Effect,” Psychological Bulletin, 110 (3), 587-595.
References: Effect Sizes
Chow, Siu L. (1988), “Significance Test or Effect Size?,” Psychological Bulletin, 103 (1),
O’Grady, Kevin E. (1982), “Measures of Explained Variance: Cautions and Limitations,”
Psychological Bulletin, 92 (3), 766-777.
Iacobucci, Dawn (2005), “On p-Values,” Journal of Consumer Research, 32 (1), 6-11.
SAS Info
SAS Institute (1990), SAS/STAT: User's Guide, Vol.2., Ver.6, 4th ed., Cary, NC: SAS
Institute Inc.
Freund, R. J., & R. C. Littell (1981), SAS for Linear Models: A Guide to the ANOVA and
GLM procedures, Cary, NC: SAS Institute.
SPSSX: Norusis, M. J. (1985), SPSSx: Advanced Statistics Guide, Chicago, IL: SPSS.

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