Marketing Science Institute (2018), “Research Priorities 2018-2020” Cambridge, Mass.: Marketing Science Institute.
Publicités
7 septembre 2018
Why academic Writing in Knitr & R markdown is the new trend? #Reproductible_Research #MarketingThema
In these videos, the authors explain the advantages of academic writing in plain text using markdown syntax. they also give a live demonstration of how writing in markdown works.
24 août 2018
In praise of Evidence Based Research: How even Top Tier university researchers are getting mistakes published & reviewers not spotting it
Professor Andrew Gelman presented at the 7th ESRC Research Methods Festival, 5-7 July 2016, University of Bath
Using previous research is important, but do we ever aknowledge that many studies even published in top journals, by top tier researchers are never replicated, contains errors of analysis not spotted by reviewers, may contain false positives or negatives (Error type I & II) but we seem to forget all of that.
In this presentation we have some examples of Pr. Gelman confirming some of the misuse or bad analysis published. The culture of publish or perish is pushing towards an abnormal rate of scientific production and quality, control and time to weight and ponder about research is no longer available. In a recent article some researchers argue and the defend the idea that we must stop producing any new research before doing what they call « evidence based research » to ensure if we have already searched ALL the previous research and stop wasting financial, human ressources and time in conducting the same research or not using systematic reviews. They published a join statement calling for a more efficient research that uses wisely the available ressources.
Read the statement:
21 août 2018
Have you heard before about P-Hacking? Then listen to this video of why most Published Research Wrong
14 août 2018
Economics Is Not Rocket Science – It’s Even More Complicated || #MarketingThema
Authored by Gary Galles via The Mises Institute,
Over the years, I have heard multiple different things described as “not rocket science.” The implication was always that rocket science was just about the hardest thing to do, making virtually everything else easy by comparison. As an economics professor over many of those years, I have increasingly come to object to that characterization. I think the questions of social coordination that economics addresses may not require “rocket science,” but are in many ways much more complex and difficult, especially when it comes to imposing control.
After all, we have successfully sent rockets to many places in our planetary neighborhood, demonstrating a tolerable ability to solve enough of the relevant problems, yet economic policies remain known for causing more harm than help.
As Peter Boettke once led off a post, “Political economy ain’t rocket science. But it is a discipline that forces one to focus on ideas and the implementation of ideas in public policies.” And the more one tries to control, the more those ideas and implementation issues stack up against the possibility, much less the probability, of effectiveness.
In one important sense, rocket science is simply vector addition of the relevant forces. And the relevant relationships for generating rockets’ thrust are governed by physical laws and relationships that are stable and mathematically expressible. That is why one website deviated from rocket science orthodoxy, under the title “Rocket science is easy; rocket engineering is hard.” The problem is one of accurately measuring the needed information and controlling the relevant forces—that is, engineering things (often with millions of parts) so that they work as intended.
7 juillet 2018
A great new ressource for those using R ! An extension of the `ggplot2` package for creating graphics with details from statistical tests included
ggstatsplot` is an extension of the `ggplot2` package for creating graphics with details from statistical tests included in the plots themselves and targeted primarily at behavioral sciences community to provide a one-line code to produce information-rich plots, which can either be used for quick data exploration or for publications/reports/notebooks/etc:
https://cran.r-project.org/…/packages/ggstatsplot/index.html
5 juillet 2018
What is an epistemicide? Decolonization of knowledge
A simple example, to start with! Each time when in your bibliography or scientific work you cite 90% of the time authors from the north despite the fact that similar works are conducted in the south, you are committing an epistemicid! You are making other productions invisible and marginal by giving an exclusive legitimacy to only some circles of knowledge production.
Another example, is the Islamic tradition of the « halaqa » in producing knowledge and as a research and academic methodology. A form or method that existed in the Islamic Spanish era, and that no longer exists today in the academic world.
A definition according to Quora: « Its a systematic destruction of any indigenous knowledge base. Any knowledge which doesn’t converge with the perpetrator’s knowledge system. It doesn’t believe in fusion or exchange of knowledge but complete disregard of the other’s knowledge. »
2 juillet 2018
Tackling the MSI Research Priorities: Which Methods to Use? #MSI #2018
Marketing science has developed a large array of research methods to tackle important questions for marketing management. These were recently summarized and illustrated in the Handbook of Marketing Analytics. But which method should be used for which question? Natalie Mizik and Dominique Hanssens will select three of the 2018-2020 MSI Research Priorities—to be announced at the Spring 2018 Board of Trustees Meeting—and review successful applications of various research methods to address these questions and invite audience comments.
5 juin 2018
2020-2030 L’EFFONDREMENT QUI VIENT – (PABLO SERVIGNE) ECOLOGIE / #COLLAPSOLOGY
Here are some recommended readings for this very important and central topic, this system is not sustainable, it’s not a question of if BUT when? and it seems to be very close :
24 mai 2018
2018-2020 Research Priorities by Marketing Science Institute
Every two years, the Marketing Science Institute asks every MSI member company Trustee to provide input to help set priorities for the research that will guide activities for the next few years.
These priorities enable the Marketing Science Institute to engage in its most critical mission: aligning marketing science and practice in order to create materially better outcomes for marketers and the customers they serve.
2018-2020 Research Priorities
20 mai 2018
Second-generation p-values: Improved rigor, reproducibility, & transparency in statistical analyses
Statisticians often try to come up with alternatives to p-values. Here’s a recent attempt called ‘second generation p-values’.
Verifying that a statistically significant result is scientifically meaningful is not only good scientific practice, it is a natural way to control the Type I error rate. Here we introduce a novel extension of the p-value—a second-generation p-value (pδ)–that formally accounts for scientific relevance and leverages this natural Type I Error control. The approach relies on a pre-specified interval null hypothesis that represents the collection of effect sizes that are scientifically uninteresting or are practically null. The second-generation p-value is the proportion of data-supported hypotheses that are also null hypotheses. As such, second-generation p-values indicate when the data are compatible with null hypotheses (pδ = 1), or with alternative hypotheses (pδ = 0), or when the data are inconclusive (0 < pδ < 1). Moreover, second-generation p-values provide a proper scientific adjustment for multiple comparisons and reduce false discovery rates. This is an advance for environments rich in data, where traditional p-value adjustments are needlessly punitive. Second-generation p-values promote transparency, rigor and reproducibility of scientific results by a priorispecifying which candidate hypotheses are practically meaningful and by providing a more reliable statistical summary of when the data are compatible with alternative or null hypotheses.
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0188299
18 mai 2018
The Scientific Paper Is Obsolete Here’s what’s next.
The scientific paper—the actual form of it—was one of the enabling inventions of modernity. Before it was developed in the 1600s, results were communicated privately in letters, ephemerally in lectures, or all at once in books. There was no public forum for incremental advances. By making room for reports of single experiments or minor technical advances, journals made the chaos of science accretive. Scientists from that point forward became like the social insects: They made their progress steadily, as a buzzing mass.
The earliest papers were in some ways more readable than papers are today. They were less specialized, more direct, shorter, and far less formal. Calculus had only just been invented. Entire data sets could fit in a table on a single page. What little “computation” contributed to the results was done by hand and could be verified in the same way.
20 avril 2018
The future of valuable #Research goes through replications! The great idea behind #curatescience.org
Scientists can only rely on an empirical finding if it is credible. In science, a credible finding is one that has (at minimum) repeatedly survived good faith attempts at proving it wrong along 3 dimensions: (1) method/data transparency, (2) analytic reproducibility/robustness, and (3) effect replicability. Curate Science is a platform to crowdsource the credibility of empirical research by curating its transparency, reproducibility/robustness, and replicability for cognitive and social psychology published literature.
The website curate science offers a searchable table of N=1,058 replications of 168 effects, this allows researchers to build reliable theoritical frameworks and test interesting theories. Can this idea inspire our friends in AMA, ACR, EMAC and in marketing research community? This will be a great idea …
5 avril 2018
Great paper on #JCR this quarter about Automated Text Analysis for Consumer Research
Abstract:
The amount of digital text available for analysis by consumer researchers has risen dramatically. Consumer discussions on the internet, product reviews, and digital archives of news articles and press releases are just a few potential sources for insights about consumer attitudes, interaction, and culture. Drawing from linguistic theory and methods, this article presents an overview of automated text analysis, providing integration of linguistic theory with constructs commonly used in consumer research, guidance for choosing amongst methods, and advice for resolving sampling and statistical issues unique to text analysis. We argue that although automated text analysis cannot be used to study all phenomena, it is a useful tool for examining patterns in text that neither researchers nor consumers can detect unaided. Text analysis can be used to examine psychological and sociological constructs in consumer-produced digital text by enabling discovery or by providing ecological validity.
Article:
Ashlee Humphreys, Rebecca Jen-Hui Wang; Automated Text Analysis for Consumer Research, Journal of Consumer Research, Volume 44, Issue 6, 1 April 2018, Pages 1274–1306, https://doi.org/10.1093/jcr/ucx104
