Where there is smoke, there is (the potential for) fire: soft indicators of research and policy impact

There is a growing literature examining the impact of research on informing policy, and of research and policy on practice. Research and policy do not have the same types of impact on practice but can be evaluated using similar approaches. Sometimes the literature provides a platform for methodological debate but mostly it is concerned with how research can link to improvements in the process and outcomes of education, how it can promote innovative policies and practice, and how it may be successfully disseminated. Whether research-informed or research-based, policy and its implementation is often assessed on such 'hard' indicators of impact as changes in the number of students gaining five or more A to C grades in national examinations or a percentage fall in the number of exclusions in inner city schools. Such measures are necessarily crude, with large samples smoothing out errors and disguising instances of significant success or failure. Even when 'measurable' in such a fashion, however, the impact of any educational change or intervention may require a period of years to become observable. This paper considers circumstances in which short-term change may be implausible or difficult to observe. It explores how impact is currently theorized and researched and promotes the concept of 'soft' indicators of impact in circumstances in which the pursuit of conventional quantitative and qualitative evidence is rendered impractical within a reasonable cost and timeframe. Such indicators are characterized by their avowedly subjective, anecdotal and impressionistic provenance and have particular importance in the context of complex community education issues where the assessment of any impact often faces considerable problems of access. These indicators include the testimonies of those on whom the research intervention or policy focuses (for example, students, adult learners), the formative effects that are often reported (for example, by head teachers, community leaders) and media coverage. The collation and convergence of a wide variety of soft indicators (Where there is smoke …) is argued to offer a credible means of identifying subtle processes that are often neglected as evidence of potential and actual impact (… there is fire).

The inclusion of open-ended questions on quantitative surveys of children: Dealing with unanticipated responses relating to child abuse and neglect

Web surveys have been shown to be a viable, and relatively inexpensive, method of data collection with children. For this reason, the Kids’ Life and Times (KLT) was developed as an annual online survey of 10 and 11 year old children. Each year, approximately 4,000 children participate in the survey. Throughout the six years that KLT has been running, a range of questions has been asked that are both policy-relevant and important to the lives of children. Given the method employed by the survey, no extremely sensitive questions that might cause the children distress are included. The majority of questions on KLT are closed yielding quantitative data that are analysed statistically; however, one regular open-ended question is included at the end of KLT each year so that the children can suggest questions that they think should be asked on the survey the following year. While most of the responses are innocuous, each year a small minority of children suggest questions on child abuse and neglect. This paper reports the responses to this question and reflects on how researchers can, and should, deal with this issue from both a methodological and an ethical perspective.

The effect of changing the built environment on physical activity: a quantitative review of the risk of bias in natural experiments.

BACKGROUND:
Evidence regarding the association of the built environment with physical activity is influencing policy recommendations that advocate changing the built environment to increase population-level physical activity. However, to date there has been no rigorous appraisal of the quality of the evidence on the effects of changing the built environment. The aim of this review was to conduct a thorough quantitative appraisal of the risk of bias present in those natural experiments with the strongest experimental designs for assessing the causal effects of the built environment on physical activity.

METHODS:
Eligible studies had to evaluate the effects of changing the built environment on physical activity, include at least one measurement before and one measurement of physical activity after changes in the environment, and have at least one intervention site and non-intervention comparison site. Given the large number of systematic reviews in this area, studies were identified from three exemplar systematic reviews; these were published in the past five years and were selected to provide a range of different built environment interventions. The risk of bias in these studies was analysed using the Cochrane Risk of Bias Assessment Tool: for Non-Randomized Studies of Interventions (ACROBAT-NRSI).

RESULTS:
Twelve eligible natural experiments were identified. Risk of bias assessments were conducted for each physical activity outcome from all studies, resulting in a total of fifteen outcomes being analysed. Intervention sites included parks, urban greenways/trails, bicycle lanes, paths, vacant lots, and a senior citizen's centre. All outcomes had an overall critical (n = 12) or serious (n = 3) risk of bias. Domains with the highest risk of bias were confounding (due to inadequate control sites and poor control of confounding variables), measurement of outcomes, and selection of the reported result.

CONCLUSIONS:
The present review focused on the strongest natural experiments conducted to date. Given this, the failure of existing studies to adequately control for potential sources of bias highlights the need for more rigorous research to underpin policy recommendations for changing the built environment to increase physical activity. Suggestions are proposed for how future natural experiments in this area can be improved.