Question from
the field:
What’s the Difference between Research and Coalition Evaluation?
Conventional scientific research and coalition evaluation are often viewed as being the same. However, while they may share some processes in common, such as planning, framing questions, collecting evidence, analyzing and synthesizing data, there are some critical differences in what functions each of these processes serve.
Using traditional research methods to evaluate coalition efforts often results in information that does not help coalitions learn or understand the conditions under which their efforts are more likely to reduce substance abuse in their communities. The purpose of this article is to shed light on some critical differences between traditional research and coalition evaluation in order for coalitions to best use evaluation to serve their local needs.
Planning
Planning is critical for both research and coalition evaluation. It sets the
stage for what is to occur; however, planning serves different functions and
is carried out differently in research and evaluation. Planning in research
follows the scientific method of stating a hypothesis, collecting data, analyzing
the data and drawing conclusions. This is a standard process that guides all
research. Planning in coalition research typically follows a framework outlined
for program evaluation. This planning process requires engaging all stakeholders
in the planning process to describe the coalition, focus the evaluation design,
gather credible evidence, justify conclusions and ensure that the coalition
continues and that lessons learned from the evaluation are shared with stakeholders.
Decision
Making
Decision making in research is more authoritative than in evaluation, usually
driven by the researcher. In coalition evaluation the decision making process
is more collaborative, involving all stakeholders.
Setting
Standards
Traditional research sets standards called internal and external validity. Internal
validity means changes occurred due to a specific intervention, that there is
a cause and effect relationship between these two factors and no other factor
can account for this relationship. External validity means that the results
will be seen outside of the research setting. The goal of research is to repeat
the intervention in various settings with the same results. The standards for
coalition evaluation are on its usefulness, feasibility, appropriateness and
accuracy. Coalitions are typically most concerned about what is going on in
their community – does it work in our community context. For this reason,
evaluation standards are set on usefulness of evaluation information, the feasibility
to evaluate certain efforts, the appropriateness of evaluation questions and
the accuracy of evaluation results.
Framing
Questions
Research seeks to discover facts, so the types of questions asked in research
are often about describing situations, finding associations between variables
and determining cause and effect. In contract, coalition evaluations focus on
values, including the quality, worth and importance of a given coalition initiative
or the coalition as a whole.
Constructing
Knowledge
Knowledge construction in conventional research focuses on isolating changes
and controlling circumstances. This usually means that control/comparison groups
are needed to determine if there are differences between a group that receives
an intervention and a group that does not receive the intervention. Additionally,
context is something that researchers need to control for---researchers seek
to prove the effectiveness of an intervention regardless of context. Evaluation,
on the other hand, values the context. This provides valuable information about
the community and the circumstances in which coalition efforts can be successful.
Additionally, coalition evaluation value flexibility and improvement so that
the greatest understanding of the community context is captured.
Collecting
Evidence
Research uses a limited number of sources of information, concentrating on using
sources that are extremely accurate. On the other hand, coalition evaluation
usually uses multiple sources of information to triangulate findings. Since
one measure is not enough to capture all that a coalition does, several sources
of information are used to fully tell a coalition story. For example, student
surveys, fatal alcohol crashes and emergency room admissions, parent focus groups,
and key stakeholder interviews can all be used to see where data line up and
to explain what is going on in the community.
Analyzing
& Synthesizing
Analysis and synthesis of data usually occurs once at the end of the research
project. Evaluation of coalition efforts requires more ongoing analysis and
data synthesis. As taught in many Coalition Institute trainings by Paul Evensen,
evaluation should be “less of an autopsy and more of a regular doctor’s
visit.”
Making
Judgments
Judgment making in research is based on the data. This process should be logical
and free of values. However, in coalition evaluation, this process relies on
judging information according to community values. What is critical is that
all values are understood and acknowledged.
Justifying
Conclusions
Research’s objective is to conclude that one factor can be attributed
to another---a direct cause and effect relationship. Research has various methods
to make causal attributions, such as establishing a time sequence, controlling
for other variables that might explain the change, and replicating findings.
Trying to prove causation or attribution in a community context with an infinite
number of factors present is impossible. Luckily, coalitions are not held to
the standard of attribution. Coalitions must demonstrate that their efforts
have CONTRIBUTED to changes in substance abuse. It’s unlikely that the
coalition is the only factor impacting substance abuse. For example, the smuggling
of illegal drugs into the country, the development of a new federal drug policy
and the development of a new designer drug are out of the direct control of
coalitions. However, since these are factors that can also affect changes substance
abuse rates, the coalition should take care to acknowledge that these outside
conditions can be alternative explanations for increases and decreases in substance
abuse rates.
Using
New Knowledge
In both research and evaluation, information from the study is disseminated
to interested audiences. However, evaluation also focuses on how information
is to be used and the users of the information so that evaluation findings can
be tailored specifically. Additionally, one of the major intents of the knowledge
generated by coalition evaluation is to build capacity by improving and strengthening
coalition efforts and functioning.
This article is based on information created by Bobby Milstein of the Syndemics Network at the Centers for Disease Control and Prevention (CDC). Additional information is available in the chart below or on the Syndemics Prevention Network section of the CDC's Web site. Please contact Evelyn Yang, Evaluation and Research Manager, at eyang@cadca.org. with your questions.
Conventional
Research vs. Coalition Evaluation |
||
Research
|
Coalition
Evaluation |
|
| Planning | Scientific Method
|
Framework for Program Evaluation • Engage stakeholders • Describe the program • Focus the evaluation design • Gather credible evidence • Justify conclusions • Ensure use and share lessons learned |
| Decision Making | Investigator-controlled • Authoritative |
Stakeholder-controlled • Collaborative |
| Setting Standards | Validity • Internal (accuracy, precision) • External (generalizability) Repeatability |
Program Evaluation Standards • Utility • Feasibility • Propriety • Accuracy |
| Framing Questions | Facts • Descriptions • Associations • Effects |
Values • Merit (i.e., quality) • Worth (i.e., value) • Significance (i.e., importance) |
| Constructing Knowledge | Isolate Changes and Control Circumstances • Narrow experimental influences • Ensure stability over time • Minimize context dependence • Treat contextual factors as confounders that necessitate randomization, adjustment, or statistical control • Control or comparison groups are a necessity |
Incorporate Changes and Account for Circumstances • Expand to see all domains of influence • Encourage flexibility and improvement • Maximize context sensitivity • Treat contextual factors as essential information using system diagrams, logic models, and hierarchical or ecological modeling • Control or comparison groups are optional (and sometimes harmful) |
| Collecting Evidence | Sources |
Sources • Multiple (triangulation preferred) • Sampling strategies are critical • Concern for protecting human subjects, organizations, and communities Indicators/Measures |
| Analyzing & Synthesizing | Timing • Once (at the end) Scope • Focus on specific variables |
Timing • Ongoing (formative and summative) Scope • Integrate all data |
| Making Judgments | Implicit • Attempt to remain value-free |
Explicit • Examine agreement on values • State precisely whose values are used |
| Justifying Conclusions | Attribution • Establish time sequence • Demonstrate plausible mechanisms • Control for confounding • Replicate findings |
Attribution and Contribution • Establish time sequence • Demonstrate plausible mechanisms • Account for alternative explanations • Show similar effects in similar contexts |
| Using New Knowledge | Disseminate to Interested
Audiences
|
Feedback to Stakeholders • Focus on intended users and uses • Build capacity Disseminate to Interested Audiences • Content and format vary to maximize comprehension • Emphasis on full disclosure • Requirement for balanced assessment |
| Adapted by Paul Evensen, MA (Community Systems Group, Inc.) from, Syndemics Overview: What Procedures Are Available for Planning and Evaluating Initiatives to Prevent Syndemics? National Center for Chronic Disease Prevention and Health Promotion, U.S. Centers for Disease Control & Prevention, Atlanta, GA, accessed via the World Wide Web at http://www.cdc.gov/syndemics/overview-planeval.htm on September 9, 2003. | ||