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Physical Sciences and Mathematics Commons

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Statistics and Probability

Selected Works

Selected Works

2008

Scientific Methods

Articles 1 - 6 of 6

Full-Text Articles in Physical Sciences and Mathematics

Are Null Results Becoming An Endangered Species In Marketing?, Raymond Hubbard, J. Scott Armstrong Jan 2008

Are Null Results Becoming An Endangered Species In Marketing?, Raymond Hubbard, J. Scott Armstrong

J. Scott Armstrong

Editorial procedures in the social and biomedical sciences are said to promote studies that falsely reject the null hypothesis. This problem may also exist in major marketing journals. Of 692 papers using statistical significance tests sampled from the Journal of Marketing, Journal of Marketing Research, and Journal of Consumer Research between 1974 and 1989, only 7.8% failed to reject the null hypothesis. The percentage of null results declined by one-half from the 1970s to the 1980s. The JM and the JMR registered marked decreases. The small percentage of insignificant results could not be explained as being due to inadequate statistical …


Advocacy As A Scientific Strategy: The Mitroff Myth, J. Scott Armstrong Jan 2008

Advocacy As A Scientific Strategy: The Mitroff Myth, J. Scott Armstrong

J. Scott Armstrong

A committee created a fictitious author, Ian Mitroff, who published a paper that violated scientific guidelines. The Mitroff paper recommended an advocacy strategy for scientific research; it said that scientists should vigorously defend their initial hypothesis. I use the advocacy strategy to scientifically prove that Mitroff does not exist.


Management Science: What Does It Have To Do With Management Or Science?, J. Scott Armstrong Jan 2008

Management Science: What Does It Have To Do With Management Or Science?, J. Scott Armstrong

J. Scott Armstrong

This paper is an edited version of the College of Business Studies Silver Jubilee Commemoration lecture, given as part of celebrations recognizing 25 years of teaching and research in the Faculty of Business Studies, now the College of Business, at Massey University.


Publishing Standards For Research On Forecasting (Editorial), J. Scott Armstrong, Estella Bee Dagum, Robert Fildes, Spyros Makridakis Jan 2008

Publishing Standards For Research On Forecasting (Editorial), J. Scott Armstrong, Estella Bee Dagum, Robert Fildes, Spyros Makridakis

J. Scott Armstrong

When we first began publication of the International Journal of Forecasting, we reviewed policies that were used by other journals and also examined the research on scientific publishing. Our findings were translated into a referee's rating form that was published in the journal [Armstrong (1982a)]. These guidelines were favorably received. Most referees used the Referee's Rating Sheet (Exhibit 1 provides an updated version)and some of them wrote to tell us that they found it helpful in communicating the aims and criteria of the journal.


Advocacy And Objectivity In Science, J. Scott Armstrong Jan 2008

Advocacy And Objectivity In Science, J. Scott Armstrong

J. Scott Armstrong

Three strategies for scientific research in management are examined: advocacy, induction, and multiple hypotheses. Advocacy of a single dominant hypothesis is efficient, but biased. Induction is not biased, but it is inefficient. The multiple hypotheses strategy seems to be both efficient and unbiased. Despite its apparent lack of objectivity, most management scientists use advocacy. For example, 2/3 of the papers published in a sampling of issues of Management Science (1955-1976) used advocacy. A review of the published empirical evidence indicates that advocacy reduces tire objectivity of the scientists. No evidence was found to suggest that this lack of objectivity could …


The Ombudsman: Cheating In Management Science, J. Scott Armstrong Jan 2008

The Ombudsman: Cheating In Management Science, J. Scott Armstrong

J. Scott Armstrong

Honesty is vital to scientific work and, clearly, most scientists are honest. However, recent publicity about cases involving cheating, including cases of falsification of data and plagiarism, raises some questions: Is cheating a problem? Does it affect management science? Should anything be done?