Using Component Approaches to Know What Has, Is, and Will Likely Spread
By Jeanne Century
The field of education improvement defines what it means to scale an innovation in many different ways. Â Cynthia Coburn (2013) provides some guidance in her seminal article that suggests there are four elements of the end state of being successfully âat scale.â Â These include depth, spread, sustainability, and ownership. Each of these elements has its own challenges for measurement and research. In this blog, I am going to focus on what I think is the simplest of the four â spread. Simply put, spread is the movement of an innovation to âgreater numbers of classrooms and schools.â (Coburn, p. 7).
Before we can meaningfully talk about ways to measure and research spread, we have to be clear about what we are spreading. In education, improvement efforts often entail a program, intervention, or innovation of some kind. I typically use the word âinnovationâ to refer to all of these, particularly when it comes to spread. My reasoning is that even if an innovation has been around for a long time, if it is new to the target participants or users, it is an innovation to them, and we should recognize it as such.
Spread in Action: With support from the William and Flora Hewlett Foundation, a number of research-practice partnerships (RPPs) set out to âscaleâ innovations in school districts. While they may have defined âscaleâ in different ways, they all aimed to spread their innovation. The innovations ranged from specific instructional materials, to approaches such as Problem-based Learning (PBL), to individual instructional strategies (e.g., facilitating student argumentation). Â
Letâs put the individual instructional strategies aside for a moment. In typical discussions of spread, instructional materials, PBL, and other multifaceted innovations are often thought of as a âwhole.â Meaning, practitioners and researchers ask if the innovation (as a whole) has spread; where the innovation has spread; and what factors have contributed to or inhibited the (whole) innovation to spread. Â We might hear statements like, âan innovation has âspreadâ to 25% of the schools in the district or 75% of classrooms.â But, what do these spread metrics really represent? We need to take a closer look.
It is widely recognized among those working to spread innovations, that complex innovations never spread as is. In education, we know that teachers adapt innovations for a variety of reasons. When teachers make what some call âprincipledâ adaptations to account for local contexts and conditions, outcomes may improve. Â In contrast, when teachers make reactive, ad hoc adaptations in response to time shortages or pressures to focus on something else, âfatalâ adaptations may occur, leading to poorer outcomes.
I suggest that the field might consider âComponent-based Researchâ (CBR) as a way to better understand these issues. CBR calls for practitioners and researchers to look at innovations as being composed of smaller elements, or âcomponents.â Doing so enables researchers to collect specific information about innovation spread and more thoughtfully account for, and interpret, other data and findings that influence outcomes.
When it comes to spread, it is quite unlikely that all of an innovationâs components (as a whole) are actually spreading. A more actionable way to tackle understanding spread is to recognize that components of the innovation are spreading, alone or in combination with others. Focusing on components, rather than the innovation as a whole is a better unit of analysis for measuring spread and interpreting analyses related to spread.
Now letâs return to the Hewlett grantees focused on spreading individual instructional strategies. In these cases, the improvement teams arenât focused on multi-faceted innovations with many different components. Rather, they are focused on âinnovationsâ that are already at a component âgrain size.â For example, many âwholeâ innovations (like instructional materials units) might include the teaching practice: âteacher facilitation of students engaging in argumentation.â In this context, facilitating argumentation is a component of the whole intervention. In our (Outlier) RPP with Broward County Public Schools however, this teaching practice is the innovation we aim to spread (as well as two other specific practices). Our innovation is already at what we would describe as the component level.
Potential Merits of CBR: Some of you may recognize CBR as resonating with implementation research. Indeed, implementation research is one type of CBR. Typically, implementation research aims to measure innovation implementation, sometimes at the component level, at a particular time and place to inform continuous improvement, and/or to help explain the âwhyâ and âhowâ behind particular findings. CBR, on the other hand, has a broader vision to use the specification of innovation components and other variables (e.g., influential factors, beneficiary characteristics) to look beyond single innovations or instances of an innovation to accumulate knowledge across many, widely varied innovations that share common components.
Using a component approach will enable the field to grasp spread as more than an account of whether an innovation is âinâ a classroom or school at a particular time. Rather, it illuminates the dynamic processes of spread and helps to build understandings about the contexts and conditions that do and do not support the spread of particular innovation components. It also enables practitioners and researchers to look at relationships between particular innovation components and student outcomes, paving the way for innovation creation and improvement using local customization. Finally, because components exist in many different innovations, CBR enables us to accumulate knowledge in a way that focusing on whole interventions does not.
It is time we embrace the complexity of spreading improvement to bring the most promising versions of an innovation to each districtâs schools and classrooms. Rather than ask if an innovation spread, we need to ask âwhat partsâ of the innovation spread? We can then ask, âWhy did this component spread in these locations?â; âWhy did this component fail to spread at all?â; âWhy do these components seem to happen more in these contexts?â; and  Why does this component seem to be associated with this particular outcome for particular groups of students? Eventually, we may be able to ask, âWhat parts of this innovation should spread, given our student population and district context?â When we treat innovations as âwholes,â we cannot collect and interpret data at the level of clarity and specificity we need to bring about customized, place-based improvements to education. Using a CBR orientation will move us closer to being able to do this, and in turn, move us closer to being able to bring more equitable opportunities to our learning settings.
Coburn, C. (2003). Rethinking scale: Moving beyond numbers to deep and lasting change. Educational Researcher 32(6), 3-12. https://www.sesp.northwestern.edu/docs/publications/139042460457c9a8422623f.pdf
For more information on implementation research and component approaches, see: Advancing the Use of Core Components of Effective Programs and Implementation Research: Finding Common Ground on What, How, Why, Where and Who
I would like to thank Kaitlyn Ferris for her input on this blog.











