Types Of Data, Methods And Research Design: The Strengths And Limitations Of Different Quantitative Research Methods, Including Questionnaires, Structured Interviews, Experiments And Content Analysis. (Copy)
Positivism (Auguste Comte, Émile Durkheim)
Core Idea
- Quantitative methods are preferred as they are scientific, reliable and objective
Application to Quantitative Methods
- Questionnaires
- Strengths
- High reliability due to standardisation
- Large samples → representative
- Cost-effective and quick
- Limitations
- Low validity → lacks depth
- Risk of dishonest or misunderstood responses
- Strengths
- Structured Interviews
- Strengths
- Reliable and easy to replicate
- Comparable results across participants
- Limitations
- Limited flexibility
- Interviewer effect may influence responses
- Strengths
- Experiments
- Strengths
- High control → establishes cause and effect
- Replicable → high reliability
- Limitations
- Artificial settings → low validity
- Ethical concerns
- Strengths
- Content Analysis
- Strengths
- Systematic and quantitative
- Can analyse large amounts of data
- Limitations
- Lacks context and meaning
- Coding may be subjective
- Strengths
- Application
- These methods are valued for producing reliable, generalisable data
Interpretivism (Max Weber)
Core Idea
- Quantitative methods lack validity and fail to capture meaning
Application to Quantitative Methods
- Questionnaires
- Strengths
- Provide broad patterns
- Limitations
- Cannot explore motives or meanings
- Strengths
- Structured Interviews
- Strengths
- Standardised data
- Limitations
- Restricts depth of responses
- Strengths
- Experiments
- Strengths
- Limited usefulness
- Limitations
- Behaviour may not be natural
- Low validity
- Strengths
- Content Analysis
- Strengths
- Identifies patterns
- Limitations
- Does not explain underlying meanings
- Strengths
- Application
- These methods are criticised for failing to understand subjective experiences
Functionalism (Émile Durkheim)
Core Idea
- Quantitative methods are useful for identifying social patterns and trends
Application to Quantitative Methods
- Questionnaires
- Strengths
- Useful for large-scale studies
- Limitations
- May oversimplify behaviour
- Strengths
- Structured Interviews
- Strengths
- Provide comparable data
- Limitations
- Limited depth
- Strengths
- Experiments
- Strengths
- Identify cause-and-effect relationships
- Limitations
- Artificial environment
- Strengths
- Content Analysis
- Strengths
- Reveals patterns in media and communication
- Limitations
- May not reflect real behaviour
- Strengths
- Application
- These methods help identify social facts and regularities
Marxism (Karl Marx)
Core Idea
- Quantitative methods reveal inequality but may hide deeper power relations
Application to Quantitative Methods
- Questionnaires
- Strengths
- Show patterns of class inequality
- Limitations
- Do not explain exploitation
- Strengths
- Structured Interviews
- Strengths
- Allow comparison across classes
- Limitations
- Limited insight into lived experiences
- Strengths
- Experiments
- Strengths
- Can test behaviour
- Limitations
- Often detached from real social issues
- Strengths
- Content Analysis
- Strengths
- Reveals ideological bias in media
- Limitations
- Interpretation may vary
- Strengths
- Application
- Useful for identifying inequality but limited in explaining it
Feminism (Ann Oakley)
Core Idea
- Quantitative methods may ignore women’s experiences and reinforce bias
Application to Quantitative Methods
- Questionnaires
- Strengths
- Can highlight gender patterns
- Limitations
- Lack depth and personal experience
- Strengths
- Structured Interviews
- Strengths
- Provide structured comparisons
- Limitations
- Power imbalance between researcher and participant
- Strengths
- Experiments
- Strengths
- Limited usefulness
- Limitations
- Artificial and may ignore gender context
- Strengths
- Content Analysis
- Strengths
- Useful for analysing gender representation
- Limitations
- Does not capture lived reality
- Strengths
- Application
- These methods are criticised for lacking empathy and depth
Postmodernism (Jean Baudrillard)
Core Idea
- No single method is sufficient; society is too complex and diverse
Application to Quantitative Methods
- Questionnaires
- Strengths
- Provide one perspective
- Limitations
- Oversimplify complex identities
- Strengths
- Structured Interviews
- Strengths
- Allow comparison
- Limitations
- Restrict diversity of responses
- Strengths
- Experiments
- Strengths
- Useful in controlled conditions
- Limitations
- Do not reflect real-world complexity
- Strengths
- Content Analysis
- Strengths
- Important for studying media
- Limitations
- Media may distort reality
- Strengths
- Application
- Quantitative methods should be combined with others for a fuller understanding
Key Synoptic Application
- Positivists → favour quantitative methods for reliability and objectivity
- Interpretivists → criticise for lack of validity and meaning
- Functionalists → use to identify social patterns
- Marxists → reveal inequality but miss deeper structures
- Feminists → lack depth and gender sensitivity
- Postmodernists → support mixed methods due to complexity
