Summary
Difficulty: ★★☆☆☆
Covers: Qualitative research, Quantitative vs qualitative methods, Qualitative data collection and coding, Converting qualitative data to quantitative variables, Mixed methods research designs, Statistical analysis of text data, Strengths and limitations of qualitative, quantitative, and mixed methods
What Is Empirical Research in Psychology?
Empirical research = collecting new data
There are three main approaches:
| Approach | What the data looks like | Examples |
|---|---|---|
| Quantitative | Numbers | Experiments, surveys, scales |
| Qualitative | Words / descriptions | Interviews, focus groups |
| Mixed methods | Both numbers + words | Surveys + interviews |
Most psychology research is quantitative, but mixed methods are becoming more common.
Quantitative vs Qualitative Research
Response Style
- Quantitative: Restricted responses
(e.g. Likert scales, multiple choice) - Qualitative: Open responses
(participants say whatever they want)
Example
- Quant: “How much do you love your partner?” (1–7 scale)
- Qual: “Tell me about how much you love your partner.”
Research Design Differences
Empirical Research Methods
| Quantitative | Qualitative |
|---|---|
| Experiments | Interviews |
| Surveys (scales) | Focus groups |
| Correlational studies | Open-ended survey questions |
| Quasi-experiments | Observations |
What is Qualitative Research?
Goal: Understand experiences, not measure them precisely.
Key Features
- Broader research questions
- Often used to generate hypotheses
- Data is usually:
- Text (spoken or written)
- Sometimes visual or behavioural
- Produces lots of rich data
- Requires training → this lecture is a light introduction
Main Qualitative Research Methods
1. Interviews
| Type | Description |
|---|---|
| Structured | Fixed script |
| Semi-structured | Script + flexibility (most common) |
| Unstructured | Very open, participant-led |
2. Focus Groups
- Small group discussion
- People’s responses can influence each other
- Useful for studying social dynamics
3. Open-Ended Surveys
- Written responses
- Easier to collect from larger samples
- Less depth than interviews
How Do We Analyse Qualitative Data?
- Collect text responses
- Code responses into themes
- Check inter-rater reliability (agreement between coders)
- Count themes → turn them into variables
- Run statistics if needed
Note: This is where qualitative becomes quantifiable
Example: Coding Responses
Question: “What do you feel when you see this image?”
| Theme | % of participants |
|---|---|
| Mentions “cat” | 43% |
| Positive feelings | 43% |
| Negative feelings | 29% |
Reporting Qualitative Research
- Can report:
- Themes across participants
- Individual quotes
- Participants must be anonymised
- IDs, pseudonyms, initials
- Qualitative data is often summarised AND quantified
Mixed Methods Research
What is Mixed Methods?
Using qualitative + quantitative methods in the same study
How It’s Done
- Together
(e.g. survey with rating scales + open-ended questions) - Sequentially
(e.g. survey → follow-up interviews)
Statistical Tools for Text/ Word Data
When Data is Large
Manual coding becomes impossible → use computational tools
Common Computational Tools
| Tool | What it does |
|---|---|
| Word clouds | Counts word frequency |
| Sentiment analysis | Detects emotional tone |
| NLP tools | Finds themes & word patterns |
Example: Word Clouds
- Words broken into tokens
- Common words removed (e.g. “and”, “to”)
- More frequent words appear larger
Summary: Quantitative vs Qualitative
| Feature | Quantitative | Qualitative |
|---|---|---|
| Data type | Numbers | Words |
| Sample size | Larger | Smaller |
| Precision | High | Lower |
| Depth | Lower | High |
| Cause-and-effect | Possible | Not possible |
| Internal validity | Higher | Lower |
| External validity | Lower | Higher |
| Best for | Testing hypotheses | Exploring experiences |
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