Lesson 5.1: Matching an Approach to the Project
Introduction
In the journey of conducting an extended project, selecting the appropriate method is akin to choosing the correct tool for a specific task. This lesson aims to explore how to align your approach with the project’s question and aims while ensuring that your decisions are defensible. By the end of this lesson, students will be able to match research methods effectively to project aims and justify their choices with confidence.
Learning Objectives:
- Understand how the question and aims drive the choice of approach.
- Identify the broad families of approaches: investigation, experiment, survey, case study, and design-and-make.
- Grasp the necessity of justifying methods rather than just selecting them.
- Conceptualize an overarching strategy to unify the project.
- Consider feasibility limits when choosing an approach.
Understanding the Importance of Method Selection
Before diving into specific types of methods, it is essential to comprehend why the choice of method is critical. The method you select will not only influence how you gather data or construct an artefact but also shape the conclusions you can reasonably draw from your investigation. Therefore, aligning your approach with your research question and project aims is paramount.
Letting the Question Drive the Approach
When faced with a research question, students should begin by asking: what type of information do I need to answer this question? The answer to this question will guide the method selection.
Example:
Imagine a project investigating the effects of urban green spaces on community health. The research question might be, "How do urban parks impact the mental health of local residents?"
- For this question, a survey method could be appropriate, as it enables the collection of subjective data from residents about their mental health and park usage.
Types of Approaches
There are several broad families of methods available for students to choose from:
- Investigations: Often qualitative, focusing on understanding complex phenomena through detailed data collection.
- Experiments: Primarily quantitative, designed to test hypotheses under controlled conditions.
- Surveys: Useful for gathering data from a larger population; generally quantitative.
- Case Studies: In-depth exploration of a particular instance or example, offering rich qualitative insights.
- Design-and-Make: This approach involves creating solutions—typically artefacts—based on identified wants or needs in response to a question.
Each of these methods has unique advantages and potential pitfalls.
Example 1: Investigation
If students wanted to explore how teenagers perceive technology use in their lives, a qualitative investigation through interviews may yield rich, descriptive data that quantitatively surveying would not.
Example 2: Experiment
If students hypothesizes that a specific type of exercise reduces anxiety, they might conduct a controlled experiment to observe changes in anxiety levels among participants before and after the exercise intervention.
Example 3: Survey
For the research question on the impact of online learning on student engagement, conducting a survey with multiple-choice and open-ended questions can help gather quantitative data on engagement levels from a wide sample.
Example 4: Case Study
students might choose a case study approach to focus on a particular school implementing innovative teaching methods, gaining comprehensive insight into the effectiveness of those methods.
Example 5: Design-and-Make
In a project about sustainable urban design, students could opt for a design-and-make methodology to develop a prototype of an eco-friendly building, allowing for practical exploration of theoretical concepts.
Justifying Your Choice of Method
After selecting an approach, students must be able to justify why it was chosen over other methods. This justification should align with the research aims, the nature of the question, and the type of data required.
Justifications may include:
- Suitability: Why does this method best suit the research question?
- Feasibility: Can this method be realistically implemented given time, resources, and access?
- Validity: Does the choice enhance the credibility and reliability of the data collected?
Example of Justification
For the survey method on the effectiveness of online learning:
- Suitability: Surveys can gather responses from many participants to reflect a broader perspective on engagement.
- Feasibility: The online format allows easy distribution and data collection.
- Validity: Well-structured survey questions can yield reliable insights into engagement trends.
Overall Strategy
When selecting methods, students should also think about the overall strategy of the project. This means creating a coherent link between the question, the approach, and the intended outcomes.
- Integration: Each phase of the project should connect logically to enhance understanding. For instance, using qualitative interviews to inform a quantitative survey can provide depth to the analysis.
- Relevance: Your methods should remain relevant to the objectives and constraints of your project, ensuring that every choice supports the research question.
Conclusion
In this lesson, students has delved into the various approaches to project methodology, emphasizing the importance of aligning chosen methods with research aims and justifying those choices effectively. The method selection is crucial not only for reaching accurate conclusions but also for fostering a deeper understanding of the subject matter. As students navigates their project, keeping these principles in mind will ensure a successful and well-supported investigation.
Study Notes
- Align methods with the central question and aims of the project.
- Understand the different families of methods: investigation, experiment, survey, case study, design-and-make.
- Justification of method is as important as the method itself; it must be suitable, feasible, and valid.
- Develop an overall project strategy that ties methods to the aims cohesively.
- Be aware of feasibility limits when choosing approaches.
