
Action Research Guide
- 9 installs
- 269 repo stars
- Updated June 19, 2026
- wentorai/research-plugins
Helps with ai & agent building tasks during AI-assisted development.
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action-research-guide is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.
- action-research-guide
- AI & Agent Building
- AI-coding skill
Action Research Guide by the numbers
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- Data as of Aug 1, 2026 (Skillselion catalog sync)
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| Installs | 9 |
|---|---|
| repo stars | ★ 269 |
| Last updated | June 19, 2026 |
| Repository | wentorai/research-plugins ↗ |
What it does
Helps with ai & agent building tasks during AI-assisted development.
Files
Action Research Guide
A skill for designing and conducting action research (AR), participatory action research (PAR), and community-based participatory research (CBPR). Covers the cyclical AR process, stakeholder engagement, data collection within action cycles, and balancing rigor with practical impact.
What Is Action Research?
Defining Characteristics
Action research is research conducted WITH and FOR participants,
not ON them. It aims to produce both practical improvements and
new knowledge simultaneously.
Key principles:
1. Collaboration: Researchers and participants work as partners
2. Cyclical process: Plan -> Act -> Observe -> Reflect -> Repeat
3. Practical focus: Solving a real problem in a real setting
4. Democratic: Participants have voice in research design
5. Reflexive: Ongoing critical reflection on the process
Contrast with traditional research:
Traditional: Researcher studies participants at arm's length
Action research: Researcher and participants co-investigateTypes of Action Research
| Type | Focus | Who Leads |
|---|---|---|
| Practical AR | Improving professional practice | Practitioner-researcher |
| Participatory AR (PAR) | Empowerment and social change | Community members + researcher |
| CBPR | Health equity and community needs | Community-academic partnership |
| Educational AR | Improving teaching and learning | Teachers |
| Organizational AR | Improving organizational processes | Internal change agents |
The Action Research Cycle
Plan-Act-Observe-Reflect
def action_research_cycle(cycle_number: int,
problem: str,
planned_action: str) -> dict:
"""
Structure one cycle of action research.
Args:
cycle_number: Which iteration of the cycle (1, 2, 3...)
problem: The problem or question being addressed
planned_action: The intervention or change being implemented
"""
cycle = {
"cycle": cycle_number,
"problem_definition": problem,
"phases": {
"plan": {
"activities": [
"Collaboratively define the problem with stakeholders",
"Review evidence and prior knowledge",
"Design the intervention or action step",
"Determine data collection methods",
"Establish success criteria"
],
"planned_action": planned_action
},
"act": {
"activities": [
"Implement the planned action",
"Document the implementation process",
"Note deviations from the plan and why they occurred",
"Maintain a reflective journal"
]
},
"observe": {
"activities": [
"Collect data during and after the action",
"Gather participant feedback",
"Record outcomes (intended and unintended)",
"Compile evidence of change or no change"
],
"data_sources": [
"Observations and field notes",
"Interviews with participants",
"Surveys or questionnaires",
"Artifacts (documents, records, student work)",
"Quantitative measures (if applicable)"
]
},
"reflect": {
"activities": [
"Analyze collected data",
"Discuss findings with stakeholders",
"Identify what worked and what did not",
"Determine modifications for the next cycle",
"Document lessons learned"
]
}
},
"next_cycle": (
"Revise the plan based on reflections and begin the next cycle. "
"Each cycle should show progressive refinement of the intervention."
)
}
return cycleStakeholder Engagement
Building Genuine Partnerships
Spectrum of Participation (from low to high):
Inform: One-way communication to participants
Consult: Gather input, researcher makes decisions
Involve: Participants contribute to some decisions
Collaborate: Shared decision-making throughout
Empower: Participants lead, researcher supports
True action research operates at the Collaborate or Empower level.
Strategies for genuine engagement:
- Hold meetings at times and locations convenient for participants
- Use accessible language (avoid academic jargon)
- Share data and findings openly with all partners
- Negotiate authorship and credit transparently
- Build relationships before starting the research
- Compensate participants for their time and expertiseData Collection in Action Research
Mixed Methods Within Cycles
Qualitative data:
- Reflective journals (researcher and participants)
- Focus groups after each action cycle
- Semi-structured interviews with key stakeholders
- Photographs and video documentation
- Meeting minutes and decision logs
Quantitative data:
- Pre/post surveys measuring target outcomes
- Performance metrics (test scores, health indicators)
- Process metrics (attendance, participation rates)
- Time series data across multiple cycles
Integration:
- Use quantitative data to measure change
- Use qualitative data to understand WHY change did or did not occur
- Triangulate across sources for credibilityEnsuring Rigor
Quality Criteria for Action Research
| Criterion | Strategy |
|---|---|
| Outcome validity | Did the action solve the problem? |
| Process validity | Were methods adequate and appropriate? |
| Democratic validity | Were all stakeholders' perspectives included? |
| Catalytic validity | Did the research energize participants to act? |
| Dialogic validity | Has the work been peer-reviewed or scrutinized? |
Common Critiques and Responses
Critique: "It is not generalizable."
Response: Action research produces transferable insights, not
statistical generalizations. Thick description allows
readers to judge applicability to their own context.
Critique: "The researcher is biased (they are part of the setting)."
Response: AR is transparent about the researcher's positionality.
Reflexive journaling, peer debriefing, and member checking
mitigate bias. Insider knowledge is a strength, not a flaw.
Critique: "It is just practice improvement, not real research."
Response: AR produces systematic, evidence-based knowledge that is
publicly shared and peer-reviewed. The dual focus on action
and research is by design, not a limitation.Reporting Action Research
Follow the ARCS (Action Research Cycle Reporting Standards) or use the general structure: describe the context and problem, explain the partnership and roles, present each cycle (plan-act-observe-reflect) chronologically, show how the intervention evolved across cycles, report both practical outcomes and theoretical contributions, and reflect on limitations and what you would do differently.