There seems to be five basic questions at the heart of any education research. I use to give these to students in evaluation and measurement courses I taught ages ago. These are not original to me; although I don’t remember where I picked them up. I am indebted to the original author.
Identifying your primary question is initial to any investigation, particularly those involving innovations and their effects upon the behaviors, skills and attitudes of people.
Here are the five basic research questions:
- How many are there? This is usually called Description.
- What is the relationship between this and that? This is called Prediction.
- Why is it so? This is called Explanation.
- Does it/will it work? This is called Assessment.
- What does it mean? This is called Understanding or Meaning.
With this frame we see that research can be about:
Description: Descriptive research is “the attempt to discover facts or describe reality.” It asks questions such as how much? how often? and so on. It is intended to describe as fully as possible a particular phenomenon.
Perhaps the most extensive descriptive research is that conducted by the US Bureau of Census. The Census is conducted every 10 years. The goal of the Census is to count every person living in America and provide descriptive data on us as a population. Information is available on not just on how many Americans there are but what do we look like in terms of age, gender, workforce participation, living standards, ethnic background and so on. The amount of data collected is enormous and takes years to collate and then distribute.
It is not just the Census Bureau that conducts descriptive research. Many organizations, both private and government conduct research of this kind. Examples, include the federal, state and local education agencies, for instance, the National Center for Education Statistics (NCES). Various statistical profiles of our schools in Metro can be found on state and on the MNPS sites. The epidemiology and the health care services evaluation divisions have assembled health status information for persons who are residents of Nashville/Davidson County. On their website, you can access health data on population, mortality, natality, and adult and youth behavior risk surveys.
Prediction: The goal of research can be prediction. We may want to know the connection between certain events. This type of research is about “making projections about what may occur in the future or in another setting.”
Predictive research in education is of great significance to certain organizations and individuals. For example, knowing the dropout rate (descriptive research) does not provide us with information of why and in what circumstances certain students drop out of school. If we could identify the relationships between the children who drop out of school and their circumstances, home environments, contexts, individual characteristics, then preventive programs could be developed and target those children and conditions. Still prediction is speculation. No matter how sophisticated and/or complicated the analyses. the results of predictive studies does not give us certainty.
Explanation: Research of this kind does involve attempts to understand “why or how something occurred.” We want to know the cause-effect relationship between things or why things happen. Has X caused Y? This what realist evaluation attempts.
In education, a lot of work is based on assumptions of causality. However, there is very little research that demonstrates a relationship between learning, such as what occurs in schools, and a particular program or factor. By definition, learning is multi-casual and that makes explanation very difficult.
It is very difficult to demonstrate cause-effect, particularly when researching social phenomenon. Perhaps the most famous example of an association but not an absolutely certain connection is the link between smoking and cancer. For causation to exist, we would have to be able to demonstrate that in each and every instance of someone being a smoker, that person will develop cancer. We know from our own experience that it doesn’t happen every time. What we do know from research is that there is a high association between smoking and developing cancer. The link, therefore, is a high probability rather than a certainty because cancer can be triggered by a number of factors other than smoking.
Assessment: This type of research focuses on “methods to plan intervention programs, to monitor the implementation of new programs and the operation of existing ones, and to determine how effectively programs or clinical practices achieve their goals.”
Teachers, students, parents, and funding bodies often want to know that what we are doing is working. We may need to evaluate the success, or otherwise, of a new program or new service. Often, we have to evaluate what we have done before we can get money to continue our work. Using research methods to undertake evaluation is an important skill for workers.
Understanding/meaning: This is research that wants to know how people subjectively understand things. It is an attempt “to gain access to that personal, subjective experience.”
A lot of very important research seeks to know people’s own experience. For example, what is it like to be a mother or a teacher or a student, or all three? What is the experience of being a student in an alternative learning center? How do the families of juvenile offenders cope with what their children are doing?
Each of these questions is more concerned about what it is like for the person involved than counting or predicting or even trying to work out an explanation. Teaching and learning is essentially discourse with language. We educate children in order to change their behavior by changing their inner language. So in our work, it is very important to have people tell us what they think is really going on. This type of research will help us do that.
The MNPS Evaluation Intelligencer
Story or data analysis: Which make the most sense to you?
I’ve started a daily (for now, at least) newspaper over at Paper.li. I’ll post on these pages my comments on the lead articles.
Issue #12
The lead article this morning has a political slant, yet it touches on what we experience here in Research, Assessment & Evaluation (REA) at MNPS. How do we get across the story our data is telling us about teaching and learning? Our data coaches are on the front line of this conundrum.
It is hard to convenience teachers as well as some of our administrators the facts and implications research, assessment and evaluation data are “telling us.”
The Forbes article notes:
What is the nearby article on the NAEP science results telling you?