Lesson 8.3: Research Approaches, Methods and Ethics

Welcome to Lesson 8.3 of the Extended Research Project. In this section, students, we will explore various research approaches, methods, and ethical considerations that are essential for your independent research. This lesson will help you become familiar with the types of research available, how to choose appropriate methods, and how to navigate ethical issues in your work.

Introduction

Research is a critical part of the academic process, and understanding the differences in research approaches will enable you to conduct your project more effectively. By the end of this lesson, you will have a comprehensive understanding of the following:

The difference between primary and secondary research and when to use each
An introduction to qualitative and quantitative research approaches
How to select methods that genuinely answer your research question
Basic research ethics, including consent, honesty, data handling, and avoiding harm
Recognizing the limits of a foundation-level project and being realistic about the scope

Primary vs. Secondary Research

What is Primary Research?

Primary research involves collecting original data that has not been previously gathered. This can include experiments, surveys, interviews, or observational studies. Primary research is beneficial when you want to gather firsthand information and insights relevant to your specific research topic.

Example of Primary Research:

Suppose students is interested in understanding the mental health challenges faced by high school students during exam periods. To conduct primary research, students might create a survey that asks students about their stress levels, coping mechanisms, and support systems. This survey directly collects data from the target population, which can provide valuable insights into their experiences.

When to Use Primary Research

Use primary research when:

You need data specific to your research question.
Existing literature does not address your inquiry.
You want to gain a deeper understanding of a particular group or phenomenon.

What is Secondary Research?

Secondary research involves analyzing existing data or literature that has already been collected and published by other researchers. This includes books, academic articles, reports, and any other documented information.

Example of Secondary Research:

If students is researching the same topic on mental health, they might read previous studies published in academic journals or books about adolescent mental health, compiling statistics and insights gathered from other researchers.

When to Use Secondary Research

Use secondary research when:

You want to gain background information on a topic.
You aim to understand trends and pre-existing perspectives.
You are unable to perform primary research due to time or resource constraints.

Summary of Primary vs. Secondary Research

Research Type	Definition	Examples	When to Use
Primary	Original data collection	Surveys, interviews	Specific data needed, lacking existing studies
Secondary	Analysis of existing data	Academic articles	Background knowledge, understanding trends

Qualitative vs. Quantitative Research

Qualitative Research

Qualitative research focuses on understanding concepts, thoughts, or experiences. This type of research often gathers non-numerical data and relies on open-ended questions, interviews, and observations.

Example of Qualitative Research:

If students conducts interviews with students about their mental health during exams, the researcher may ask questions like "How do you feel during exam week?" and analyze the responses to identify common themes and experiences.

When to Use Qualitative Research

Use qualitative research when:

You want to explore feelings, experiences, or motivations.
The research question seeks to understand why or how something occurs.
The depth of understanding is more valuable than numerical data.

Quantitative Research

Quantitative research focuses on quantifying the data and often uses statistical analysis. This type of research generally collects numerical data through surveys, experiments, or other measurable methods to find patterns and correlations.

Example of Quantitative Research:

Continuing with students's topic, students could conduct a survey with scaled questions like "On a scale of 1 to 10, how stressed do you feel during exams?" This data can be converted into statistics to analyze trends among the student population.

When to Use Quantitative Research

Use quantitative research when:

Your research question requires quantifiable data.
You want to test a hypothesis or specific prediction.
You need results that can be analyzed statistically.

Comparing Qualitative and Quantitative Research

Research Type	Focus	Data Types	Examples	When to Use
Qualitative	Understanding experiences	Non-numerical	Interviews, focus groups	Exploring feelings or motivations
Quantitative	Measuring and analyzing data	Numerical	Surveys, experiments	Testing hypotheses or finding patterns

Choosing the Right Methods

When conducting your research, it is crucial to choose methods that genuinely answer your question. Here are some steps to guide your decision-making:

Clarify Your Research Question: Ensure the question you are asking is specific and researchable.
Evaluate Available Methods: Consider both primary and secondary options, and whether qualitative or quantitative approaches are more appropriate.
Consider Resources and Time: Assess your ability to conduct primary research and the timeframe for your project.
Choose Ethics-Consistent Methods: Ensure that your chosen methods adhere to ethical guidelines mentioned below.
Pilot Test if Possible: If you have time, pilot testing your methods can help refine your approach.

Research Ethics

Research ethics is a vital aspect of conducting research. It concerns the principles that guide responsible and respectful behavior toward participants and the integrity of the research process.

Key Ethical Considerations

Informed Consent: Participants must be fully informed about the nature of the research and give their voluntary consent to participate.
Honesty: Researchers must report data truthfully, avoiding fabrication or falsification.
Data Handling: Ensure that data is stored securely and that participants' privacy is protected.
Avoiding Harm: Assess the potential risks to participants and minimize any possible harm.

Example of Ethical Research Practices

If students conducts a survey involving personal stories about mental health, students should:

Explain the purpose of the survey clearly to participants.
Offer participants the choice to remain anonymous if they wish.
Ensure results are presented in a way that does not identify individuals.
Avoid any questions that could cause emotional distress unless necessary for the study.

Limitations of Foundation-Level Projects

While undertaking research as part of a foundation course, it is essential to recognize the limitations of your project. The scope of your research may be small, and you should establish realistic expectations.

Be Realistic about Scope

Time Constraints: Be aware of the time you have to collect data, analyze results, and write the report.
Resource Limitations: Consider what resources (books, articles, and participant access) are available to you.
Depth of Analysis: It may not be feasible to explore a topic in exhaustive detail. Focus on extracting key findings pertinent to your question.

Conclusion

Completing this lesson should equip you, students, with the understanding to confidently explore different research approaches, methods, and ethical considerations in your Extended Research Project. Properly applying these elements will enhance both the quality and credibility of your work.

Study Notes

Primary research involves collecting original data through methods like surveys and interviews.
Secondary research analyzes existing literature and data.
Qualitative research focuses on understanding experiences, while quantitative research emphasizes quantifying behavior.
Choose research methods that best align with your research question.
Ethical considerations include informed consent, honesty in reporting, careful data handling, and preventing harm.
Be realistic about the scope of your foundation-level research project.