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Unscientific social science is trading under false pretences

Social scientists must work hard to verify their conclusions. Too many that do not are rewarded anyway, says Martyn Hammersley

Published on
December 19, 2024
Last updated
December 19, 2024
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The question of whether there is, or can聽be, a聽social science has been a聽contentious issue throughout my聽50-plus years of聽being a聽鈥渟ocial scientist鈥. I聽remember how, on聽my return from a聽first year of聽studying sociology at聽university, my聽old English teacher denied that there could be聽any such thing; and my聽response at聽the time did聽not convince him. Of聽course, the case against social science has long been made, not least by聽philosophers, from to .

Whether social research is scientific is聽not a聽simple question, because the answer depends on聽what we聽mean by聽鈥渟cience鈥, and because 鈥渟ocial science鈥 is聽such a聽large and diverse set of聽fields. Nevertheless, I聽suggest that there is聽much work by聽social scientists that trades falsely under the label.

There are multiple reasons. One is external pressure to produce large numbers of research publications in conditions that lack the resources necessary to do this while sustaining quality. A second is that there are practical or political commitments on the part of researchers that encourage bias 鈥 or at least exaggeration of the likely validity of what are viewed as positive findings, and the rubbishing of those regarded as unwelcome.

Unscientific work takes a variety of forms. One involves deploying standard techniques with insufficient thought about whether their use is justified given the nature of the data or the aims of the research. This is illustrated by the failure of long-running debates about the abuse of significance testing and the misuse of interviews to constrain much social science practice.

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Some research uses sophisticated forms of quantitative analysis whose requirements are not met by the data employed. In the case of non-experimental research, often only relatively weak control is exercised over potential causal factors other than those being investigated. With experimental work, such as randomised controlled trials, it is often uncertain if general conclusions can be drawn about what happens 鈥渋n聽the wild鈥. And both frequently suffer from the threat of major measurement error.

These problems reflect the sheer difficulties involved in studying social phenomena, arising from both their complexity and the limitations of the research strategies available. What is attempted may聽not be聽impossible 鈥 although sometimes it聽is 鈥 but much more caution is required about the likely validity of the results produced than is聽. 鈥溾 needs to be severely restrained.

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A second kind of unscientific social science is qualitative in character, involving no聽attempt to measure and control variables. Yet often, the questions addressed are causal ones that demand some form of this if they are to be answered effectively. Instead, even while denying that they are engaged in causal analysis, many researchers proceed as if they were able to read off causal relationships straight from their data, based on theoretical assumptions that have聽not themselves been tested.

The result, at best, is conflicting findings and general confusion. At worst, it is a spurious consensus generated by shared bias and a lack of scientific integrity. This can be fuelled by the widespread view that producing knowledge is insufficient warrant for social research: that to be worthwhile it should have some practical or political 鈥 it must 鈥渕ake a聽difference鈥. Very often, this leads to research designed to provide evidence for a conclusion whose validity was .

There are also social scientists who believe that the very claim to scientific knowledge is ethically or politically unacceptable because they view it as 鈥渆pistemic domination鈥 that supports the socio-political status聽quo. They misread it as necessarily blaming people from oppressed or marginalised communities for their own situations, and silencing those who protest.

From this point of view, the only legitimate approach is one that subverts the claimed authority of social science and amplifies 鈥渟ubaltern鈥 voices coming from the disempowered. While those who take this stance may reject the label of science, they nevertheless gain access to funding, and to publication in journals and books, under its auspices. If, in these contexts, they were to announce that their sole aim was to spread their own political opinions, they would probably get little financial support.

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There are also researchers who present their work as literature or art, with the concept of social science expanded to incorporate this. But is this ? Sometimes what is produced amounts to little more than agit-prop. Rarely does it meet high literary or artistic standards.

In highlighting the problem of unscientific social science, I聽may be criticised for undermining the case for public funding of social research 鈥 at a time when fake news is rife and the need for sound knowledge is greater than ever. I聽certainly do聽not deny the importance of research: I聽have devoted much of my life to聽it. But if social scientists do聽not work hard to check that their conclusions are true, and do聽not limit themselves to what can be justified on that basis, they too are in the fake news business.

Martyn Hammersley is emeritus professor of educational and social research at the Open University.

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Reader's comments (8)

Define "verification." You do not and cannot because there is no one definition or method. It varies and that lies at the very core of both social and natural sciences.
A very limited view of social science, with the author standing above as judge and jury. Thank goodness we've made whole range of advances since such conservative positions on knowledge were common.
'Verification' doesn't imply a single method. And in OPR's comment 'limited' and 'conservative' appear to be weasel words meaning 'invalid'. Better to say what you mean. And judging what are 'advances' doesn't involve 'standing above'? Anyway the article is clearly an opinion piece not a legal judgment!
Posing the question what do we KNOW of the working of the social world, the only answer is nothing. As an example from my own subject of organisation and management, which applies social sciences, there is great misunderstanding of two well known empirically grounded theories. Maslow's hierarchy of needs is not a theory of motivation and Skinner's theory of operant conditioning is not a theory of learning. Both are theories that explain the causes of human behaviour, i.e., answering the question why do human beings behave the way we do? For Maslow, the answer is because we are motivated to behave that way and for Skinner the answer is because we have learned to behave that way. They both can't be 'true' or, at least, the sole and exclusive answer. However, both have utility in providing a better understanding of human behaviour and so have some value. That in my view is the point and purpose of the social sciences. And on the point of promoting change, the point and purpose of all science is to achieve that, e.g., why investigate the causes of cancer if not to produce more effective treatments and so change the lives of millions of people? To paraphrase Karl Marx, the point is not to understand the world but to change it, a sentiment I support which is why I am social scientist and researcher.
"To paraphrase Karl Marx, the point is not to understand the world but to change it, a sentiment I support which is why I am social scientist and researcher." I believe you, which is a problem, and why people are questioning higher education in general and funding for much of this is next on the agenda and people's own words actions make them almost impossible to defend even as a jobs program considering how much nonsense has worked its way into policy.
That's not what Marx actually said. He worked hard to KNOW the essential nature of capitalism and believed that this knowledge determined what should be done. The history of communist regimes shows that this is wrong-headed. But, apparently, some social scientists still assume that if the world were under their control 'change' would result, and that this change would automatically be improvement or would even lead to the best of all possible worlds. Academic hubris reigns.
The key criterion of a "science" according to Karl Popper is "fasifiability"; can an empirical statement about the social world, intuitively plausible as it might seem, be subject to a test that would show - under professionally agreed circumstances - whether or not that statement had a degree of validity or not, as determined by what the empirical data showed (quantitative or qualitative). In principle it does not matter whether the "facts" do or do not bear out the empirical claim, but it should be possible to address that challenge, otherwise this a form of "make believe" that may not advance our empirical understanding of the social world out there.
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