HARKing


The term HARKing is an acronym coined by social psychologist Norbert Kerr. It refers to the questionable research practice of hypothesizing after the results are known. Kerr defined HARKing as “presenting a post hoc hypothesis in the introduction of a research report as if it were an a priori hypothesis”. HARKing may also occur when a researcher tests an a priori hypothesis but then omits that hypothesis from their research report after they find out the results of their test.

Types of HARKing

Several types of HARKing have been distinguished, including:
Concerns about HARKing appear to be increasing in the scientific community, as shown by the increasing number of citations to Kerr's seminal article. According to , Kerr's article averaged 4.3 citations per year during the period 2000–2009. This figure increased to 90.5 citations per year during the period 2010–2019 and 224.5 citations per year during 2018–2019.
Figure 1. Citations to Kerr's article on HARKing.

Rates of HARKing

A 2017 review of six surveys found that an average of 43% of researchers reported HARKing “at least once”. This figure may be an underestimate if researchers are concerned about reporting questionable research practices, do not perceive themselves to be responsible for HARKing that is proposed by editors and reviewers, or do not recognize their HARKing due to hindsight or confirmation biases.

The Motive for HARKing

HARKing appears to be motivated by a desire to publish research in a publication environment that values a priori hypotheses over post hoc hypotheses and contains a publication bias against null results. In order to improve their chances of publishing their results, researchers may secretly suppress any a priori hypotheses that fail to yield significant results, construct or retrieve post hoc hypotheses that account for any unexpected significant results, and then present these new post hoc hypotheses in their research reports as if they are a priori hypotheses.

Prediction and Accommodation

HARKing is associated with the debate regarding . In the case of prediction, hypotheses are deduced from a priori theory and evidence. In the case of accommodation, hypotheses are induced from the current research results. One view is that HARKing represents a form of accommodation in which researchers induce ad hoc hypotheses from their current results. Another view is that HARKing represents a form of prediction in which researchers deduce hypotheses from a priori theory and evidence after they know their current results.

The Costs of HARKing

Kerr listed 12 potential costs of HARKing:
  1. Translating Type I errors into hard-to-eradicate theory
  2. Propounding theories that cannot pass Popper's disconfirmability test
  3. Disguising post hoc explanations as a priori explanations
  4. Not communicating valuable information about what did not work
  5. Taking unjustified statistical licence
  6. Presenting an inaccurate model of science to students
  7. Encouraging ‘fudging’ in other grey areas
  8. Making us less receptive to serendipitous findings
  9. Encouraging adoption of narrow, context-bound new theory
  10. Encouraging retention of too-broad, disconfirmable old theory
  11. Inhibiting identification of plausible alternative hypotheses
  12. Implicitly violating basic ethical principles
Rubin provided a critical analysis of Kerr's 12 costs of HARKing. He concluded that these costs "are either misconceived, misattributed to HARKing, lacking evidence, or that they do not take into account pre- and post-publication peer review and public availability to research materials and data."

HARKing and the Replication Crisis

Some of the costs of HARKing are thought to have led to the replication crisis in science. Hence, Bishop described HARKing as one of “the four horsemen of the reproducibility apocalypse,” with publication bias, low statistical power, and being the other three. An alternative view is that it is premature to conclude that HARKing has contributed to the replication crisis.
The preregistration of research hypotheses prior to data collection has been proposed as a method of identifying and/or deterring HARKing.

The Ethics of HARKing

Kerr pointed out that “HARKing can entail concealment. The question then becomes whether what is concealed in HARKing can be a useful part of the “truth”...or is instead basically uninformative ". Three different positions about the ethics of HARKing depend on whether HARKing conceals "a useful part of the 'truth'".
The first position is that all HARKing is unethical under all circumstances because it violates a fundamental principle of communicating scientific research honestly and completely. According to this position, HARKing always conceals a useful part of the truth. Consistent with this view, a 2017 Twitter poll found that 75.5% of 212 votes agreed that "it is fraud for an auth to assert that a study tested an a priori hypothesis that the auth knowingly thought of only after post hoc analysis."
A second position is that HARKing falls into a “gray zone” of ethical practice. According to this position, some forms of HARKing are more or less ethical under some circumstances. Hence, only some forms of HARKing conceal a useful part of the truth under some conditions. Consistent with this view, a 2018 survey of 119 USA researchers found that HARKing was associated with "ambiguously unethical" research practices more than with "unambiguously unethical" research practices.
A third position is that HARKing is acceptable provided that hypotheses are explicitly deduced from a priori theory and evidence, as explained in a theoretical rationale, and readers have access to the relevant research data and materials. According to this position, HARKing does not prevent readers from making an adequately informed evaluation of the theoretical quality and plausibility of the hypotheses and the methodological rigor with which the hypotheses have been tested. In this case, HARKing does not conceal a useful part of the truth. Furthermore, researchers may claim that a priori theory and evidence predict their results even if the prediction is deduced after they know their results.