Numerous preference data collection methodologies
exist. However, one of the relatively efficient methods
has received far less attention than deserved. It is
the balanced incomplete block (BIB) design. In this
article, the author provides an overview of BIB designs,
discusses corresponding advantages and limitations,
presents appropriate statistical procedures for analyzing
preference data, and illustrates the methodology
underlying the development and application of BIB
designs with a real-world marketing problem.
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References
1.
Banks, Seymour.1974. "Experimental Design and Control." In Handbook of Marketing Research. Ed. Robert FerberNew York: McGraw-Hill Book Company.
2.
Bose, R.C.1939. "On the Construction of Balanced Incomplete Block Designs ." Annuals of Eugenics9 (June): 353-399.
3.
Bradley, Ralph and Milton Terry.1952. "Rank Analysis of Incomplete Block Designs." Biometrika39 (January): 324-345.
4.
Clatworthy, Willard.1955. "Partially Balanced Incomplete Block Designs with Two Associate Classes and Two Treatments Per Block." Journal of Research of the National Bureau of Standards54 (April): 177-190.
5.
Cochran, William and Gertrude Cox.1957. Experimental Designs. New York: John Wiley & Sons, Inc.Second Edition.
6.
Conover, W.1971. Practical Nonparametric Statistics. New York: John Wiley & Sons, Inc.
7.
Cox, D.1958. Planning of Experiments. New York: John Wiley & Sons, Inc.
8.
David, H.1963. The Method of Paired Comparisons. London: Charles Griffin & Co., Ltd.
9.
Drake, Jerry and Frank Millar.1969. Marketing Research. Scranton, PA: International Textbook Company.
10.
Durbin, J.1951. "Incomplete Blocks in Ranking Experiments." British Journal of Psychology, Statistical Section 4 (November): 85-90.
11.
Federer, Walter.1955. Experimental Design. New York : The Macmillan Company.
12.
Fisher, R.A. and F. Yates.1963. Statistical Tables. New York: Hafner Publishing Company. Sixth Edition.
13.
Gibbons, Jean.1971. Nonparametric Statistical Inference. New York: McGraw-Hill Book Company.
14.
Green, Paul E.1974. "On the Design of Choice Experiments Involving Multifactor Alternatives." Journal of Consumer Research1 (September): 61-68.
15.
_ and Frank J. Carmone.1970. Multidimensional Scaling and Related Techniques in Marketing Analysis. Boston: Allyn and Bacon, Inc.
16.
and Donald Tull.1975. Research for Marketing Decisions. Englewood Cliffs, NJ: Prentice-Hall, Inc. Third Edition.
17.
_ and Yoram Wind. 1973. Multiattribute Decisions in Marketing: A Measurement Approach. Hinsdale, IL: The Dryden Press.
18.
Guttman, Louis.1946. "An Approach for Quantifying Paired Comparisons and Rank ." Annals of Mathematical Statistics17 (August): 144-163.
19.
Kempthorne, Oscar.1952. The Design and Analysis of Experiments. New York: John Wiley & Sons, Inc.
20.
Kendall, Maurice.1955. Rank Correlation Methods. New York : Hafner Publishing Company. Second Edition.
21.
Raghavarao, Damaraju.1971. Construction and Combinatorial Problems in Design of Experiments . New York: John Wiley & Sons, Inc.
22.
Siegel, Sidney.1956. Nonparametric Statistics. New York : McGraw-Hill Book Company.
23.
Torgerson, Warren S.1958. Theory and Methods of Scaling. New York: John Wiley & Sons, Inc.
24.
Uhl, Kenneth and Bertram Schoner.1969. Marketing Research. New York : John Wiley & Sons, Inc.
25.
Wiley, James B.1978. "BIBD: A Data Management Program for 'BIBD' Choice Data ." Journal of Marketing Research15 (August): 472-474.
26.
Yates, F.1936a. "Incomplete Randomized Blocks." Annals of Eugenics7 (March): 121-140.
27.
_. 1936b. "A New Method of Arranging Variety Trials Involving a Large Number of Varieties." Journal of Agricultural Science26 (June): 424-455.
28.
Youden, W.J.1937. "Use of Incomplete Block Replications in Estimating Tobacco-Mosaic Virus." Contributions from Boyce Thompson Institute9 (November): 41-48.
