The rise and fall of the Latin Square in marketing: A cautionary tale
Abstract
Purpose This paper aims to illustrate the strengths and weaknesses of experimental design and development in academic marketing since 1950. Design/methodology/approach The paper does so by taking one experimental design, Latin Square, and describing its history and development within academic marketing in detail. Findings The Latin Square is a powerful experimental technique that first rose to prominence in agriculture in the 1920s and has remained a key tool in this discipline ever since. The technique was introduced into marketing in 1953, and enjoyed a period of great influence and popularity until 1973, when it abruptly disappeared from the publications of the discipline. Careful investigation of the research record of this period revealed that its demise was due to increasingly poor application method that led to compromised results, combined with an erroneous assignation of superior capabilities to full and fractional factorials that occurred at approximately the same time. Practical implications Two major implications arise from these findings. First, the discipline has incorrectly retired a tool that is still unmatched in some key research situations. Second, the errors that led to the technique's demise led to the rise of other techniques that do not have the capabilities that many researchers appear to think they have. Originality/value This is the first longitudinal historical case study of a single research technique that has appeared in print in a major journal,…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The fractionally replicated Latin Square design was used in this manner to ensure the validity of the results obtained.
“The main reason for using the fractionally replicated Latin Square design in this manner was to ensure the validity of the results that were obtained [45,51].”
From Marketing Tactics for Sustainable Fashion and the Circular Economy: The Impact of Ethical Labels on Fast Fashion Choice (2023) · cites this paper as [51]
A 4 × 5 fractionally replicated Latin Square was used to test the hypotheses, deployed in accordance with principles outlined in the prior literature.
“A 4 × 5 fractionally replicated Latin Square [50] was used to test these hypotheses (Table 1a) and was deployed in accordance with the principles outlined in the prior literature [51].”
From Marketing Tactics for Sustainable Fashion and the Circular Economy: The Impact of Ethical Labels on Fast Fashion Choice (2023) · cites this paper as [51]
The five consumer groups were kept as closely equivalent to each other as possible in order to reduce the chances of an interaction and to maximise internal validity.
“In order to reduce the chances of an interaction and to maximise the internal validity, these groups were kept as closely equivalent to each other as possible [51].”
From Marketing Tactics for Sustainable Fashion and the Circular Economy: The Impact of Ethical Labels on Fast Fashion Choice (2023) · cites this paper as [51]
No citation lists for this paper
No citation lists for this paper yet — checked again daily.
References 39 · Cited by 22
- Authors
- Hamlin, R. P.
- Affiliations
- University of Otago (NZ)
- Corresponding author
- Hamlin, Robert P.
- ORCID
- Hamlin, Robert P.
- Venue
- European Journal of Marketing
- Publisher
- Emerald
- Published
- 2005-03-01
- Volume
- 39
- Issue
- 3/4
- Pages
- 328-350
- ISSN
- 0309-0566 (ISSN-L)
- OpenAlex
- W2092706648
- Cited by
- 22
- References
- 39
- Citations by year
- 2024: 1 · 2023: 1 · 2022: 1 · 2020: 4 · 2018: 3 · 2017: 1 · 2016: 4 · 2015: 1 · 2014: 2 · 2013: 2
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European Journal of Marketing (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Optimal Experimental Design Methods
- Social Sciences › Decision Sciences › Management Science and Operations Research › Business Strategies and Management Research
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Keywords
- Latin square design, experimental design, history of marketing research, fractional factorial design, full factorial design, methodological critique
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review