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Evidence-based social policy
– at last.
Introduction
Conservatives often claim
that many socio-political interventions are ineffective, or do more harm than
good, but their warnings often
fall on deaf ears. Social scientists with vested interests, and meddlesome politicians who
want to be seen to do something, can make an argument for almost
anything. If the policies sound
even remotely sensible, voter support can usually be drummed up, and the voices
of caution portrayed as reactionary and uncaring.
Too often policies are introduced with little
or no firm evidence to back them up. An example was the widespread replacement of traditional phonetic methods to teach
children to read with whole word and sentence teaching.
The latter, also called “look and learn” almost displaced older
methods in the British state education system in the 1960s and 1970s.
Parents were sceptical, but the experts, who liked the new methods
because they were easier to teach, reassured them.
Those children whose parents could afford private schools mostly avoided
the new methods, but most were trapped in a state system that had been captured
by professional “educationalists”.
It now turns out that the “experts” had not bothered to do the
correct experiments, or if they had, had not bothered to read the results. Fortunately a new international organisation, the Campbell Collaboration, has been launched to collect the best research evidence for this and many other social polices. It should provide a much stronger basis for political action than previous expert groups because, like the Cochrane collaboration in medicine, which went before it, it restricts itself to the strongest and best type of evidence, that from randomised controlled trials. Read the article below (reprinted from the Economist). I am delighted
to see phonetic teaching of reading reinstated.
I will be looking out for the evidence supporting the armies of social
workers and counsellors that the government sees fit to pay for.
The
Campbell Collaboration
In the scientific pecking order, social scientists are usually looked down
on by their peers in the natural sciences. Real scientists do experiments to
test their theories-or, if they cannot, try to look for natural phenomena that
can act in lieu of experiments. Social scientists, it is widely thought, do not
subject their own hypotheses to any such rigorous treatment. Worse, they peddle
their untested hypotheses to governments, and try to get them turned into
policies. The Campbell Collaboration,
whose second annual conference has just taken place in Philadelphia, exists to
change both this perception and the reality behind it by advancing the cause of
"evidence-based" social policy. The collaboration is an international,
independent, non-profit organisation that brings together social scientists,
statisticians and policymakers. Its aim is to assemble and evaluate the best
available evidence for the effectiveness of various social interventions. In
particular, that means evidence from experiments. Get real
Governments require sellers of
new medicines to demonstrate the safety and effectiveness of their products. The
accepted "gold standard" of evidence is a randomised controlled trial,
in which a new drug is compared with the best existing therapy (or with a
placebo, if no treatment is available). Patients are assigned to one arm or the
other of such a study at random, ensuring that the only difference between the
two groupS is the new treatment. The best studies also ensure that neither
patient nor physician knows which patient is allocated to which therapy. This
"double-blinding" reduces the risk that wishful thinking or other
potential biases may influence the outcome. Drug trials must also include enough
patients to make it unlikely that chance alone may determine the result. Yet the medical industry is
held to a higher standard of evidence than that to which governments hold
themselves. This is bad, because, as Carol Fitz-Gibbon, a Campbell Collaboration
participant from Durham University, in England, points out, school education
amounts to about 15,000 hours of compulsory treatment.
Social welfare and criminal-justice interventions can be similarly
invasive. But few education programmes or social initiatives are evaluated in
carefully conducted studies prior to their introduction. A case in point is the
"whole-language" approach to reading, which swept much of the
English-speaking world in the 1970s and 1980S. Whole-language holds that
children learn to read best by absorbing contextual clues from texts, not by
breaking individual words into their component parts and reassembling them (a
method known as phonics). Unfortunately, the educational theorists who pushed
the whole-language notion so successfully did not wait for evidence from
controlled randomised trials before advancing their claims. Had they done so,
they might have concluded, as did an analysis of 52 randomised studies carried
out by the US National Reading Panel in 2000, that effective reading instruction
requires phonics. To avoid the widespread
adoption of misguided ideas, the sensible thing is to experiment first and make
policy later. This is the idea behind a trial of "restorative justice"
which is about to begin in the English courts. The experiment, initiated by
Lawrence Sherman, a criminologist from the University of Pennsylvania (with the
support of England's Lord Chief Justice), will include criminals who plead
guilty to robbery or serious assault. Those who agree to participate will be
assigned randomly either to sentencing as normal or to participation in a
conference in which the offender meets his victim and discusses how he may make
emotional and material restitution. The purpose of the trial is to assess
whether such restorative justice reduces re offending. If it does, it might be
adopted more widely. Other randomised trials going
on in Britain include an evaluation of the educational, nutritional, social and
psychological effects of free breakfasts in English schools, a trial of
smoke-alarm installation, and a trial of sex education in Scottish secondary
schools. We have control
The idea of experimental
evidence is not quite as new to the social sciences as sneering natural
scientists might believe. In fact, randomised trials and systematic reviews of
evidence were introduced into the social sciences long before they became common
in medicine. lain Chalmers, a founder of both the Campbell Collaboration and its
older and better established medical sibling, the Cochrane Collaboration,
identifies an apparent example of random allocation in a study carried out in
1927 of how to persuade people to turn out to vote in elections. And randomised
trials in social work were begun in the 1930S and 1940S. But enthusiasm later
waned. Brian Sheldon, a social worker from the University of Exeter, in England,
suggests this loss of interest can be attributed, at least in part, to the fact
that early experiments produced little evidence of positive outcomes. Thomas Cook, a pioneer of
controlled experiments in education at Northwestern University, in Chicago,
suggests that much of the opposition to experimental evaluation stems from a
common philosophical malaise among social scientists, who doubt the validity of
the natural sciences, and therefore reject the potential of knowledge derived
from controlled experiments. A more pragmatic factor limiting the growth of
evidence-based education and social services may be limitations on the funds
available for research. Nevertheless, some 11,000
experimental studies are known in the social sciences (compared with over
250,000 in the medical literature). Randomised trials have been used to evaluate
the effectiveness of driver-education programmes, job-training schemes,
classroom size, psychological counselling for post-traumatic-stress disorder and
increased investment in public housing. And where they are carried out, they
seem to have a healthy dampening effect on otherwise rosy interpretations of the
observations. An examination of 308 studies from the criminal-justice
literature, by David Weisburd of the University of Maryland and his colleagues,
found that randomised trials were significantly less likely to report positive
outcomes than non-randomised studies. Analysis of work in other areas gives
similar results. The problem for policymakers is
often not too few data, but what to make of multiple and conflicting studies.
This is where the Campbell Collaboration comes into its own. Rather than
initiating research, it is designed to evaluate existing studies, in a process
known as systematic review. This means attempting to identify every relevant
trial of a given question (including studies that have never been published),
choosing the best ones using clearly defined criteria for quality, and combining
the results in a statistically valid way. The Cochrane Collaboration has
produced more than 1,000 such reviews in medical fields. The hope is that
rigorous review standards will allow Campbell, like Cochrane, to become a
trusted and authoritative source of information. The evidence-based policy
movement has its detractors, however. Notably, many object on ethical grounds to
the idea of randomly denying half of a population the potential benefit of a new
service or initiative. But there is a rejoinder: to ask for evidence that the
intervention in question is not itself harmful. For example, who could object
to driver education programmes in schools? But three different studies of a
total of about 15,000 students have shown that such programmes are likely to
increase road deaths. That is because training programmes, while not producing
significantly safer drivers, cause young people to obtain driving licences at an
earlier age. And more young drivers means more accidents. Or take the approach to
criminal deterrence commonly known as "scared straight". The first
completed Campbell Collaboration review is an analysis of such programmes, which
introduce juvenile delinquents to prison inmates who portray conditions inside
in harsh, or at least realistic, terms. The theory is that exposure to the grim
realities of life in prison will deter at-risk youths from future crime. A nice
idea-but wrong. Using a variety of
statistical techniques, Anthony Petrosino, a criminologist at the us Academy of
Arts and Sciences, combined the results of the seven available randomised
studies of scared-straight programmes. This meta-analysis, as it is known,
strongly suggests that participation in a scared-straight programme
substantially increases the likelihood of subsequent arrest among participants. Because they are cheap to run
and politically popular, scared-straight programmes are widespread in the United
States. Yet the obvious conclusion from Dr Petrosino's analysis is that such
programmes are not only harmful to participants, but also place everybody in
society at increased risk of crime. A few more counter-intuitive results such as
that, and experiment-based social science might at last be given the respect
that it deserves.
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