Research methods Flashcards
Positivism
Positivism
Believes sociology should be studied like a natural science, using objective methods to uncover social laws and patterns. Takes a macro approach
Positivism
Postitivism- research methods
- Quantitative methods
- Surveys
- Official statistics
Positivism
Positivism- Strengths
- Objectivity
- Reliability
- Identifies social trends
Positivism
Positivism- weaknesses
- No rapport
- Only quantitative
- Lack depth and explanation
Interpretivism
Interpretivism
Human behaviour is complex and cannot be studies like the natural sciences, focuses on understanding meanings and experiences. Takes a micro approach
Interpretivism
Interpretivism- research methods
- Qualitative methods
- Unstructured interviews
- Participent observation
Interpretivism
Interpretivism- strengths
- In depth data
Interpretivism
Interpretivism- weaknesses
- Low reliability
- Small scale
- Subjective
- Time-consuming
GROVER
Generalisability
General statements and conclusions that apply not to the sample sudied but also to the general population
GROVER
Representative
A representative sample that reflects the characteristics of its population
GROVER
Objectivity
Absence of bias and the removal of opinions and values
GROVER
Validity
Findings are truthful and authentic
GROVER
Ethics
Morally acceptable research which protects the rights and wellbeing of research participants
GROVER
Reliability
The consistency of research findings- the same or consistent findings can be obtainted if the method is repeated
Data types
Primary data
Data collected by yourself
Data types
Secondary data
Data collected by someone else that you use
Data types
Quantitative data
Data in numerical form
Data types
Qualitative data
Data which includes words
Research process
Practical factors
- Cost
- Time available
- Subject matter of the research
Research process
BSA rules
- Legality or imorality
- Informed consent
- Privacy and confidentiality
- Protection from harm
Research process
Bias
Results influenced by the researchers personal opinions, including political prejudice
Research process
Research aim
General focus on the study
Research process
Hypothosis
Testable statement predicting an outcome
Research process
Operationalisation
Breaking down the aims/ hypothesis into something thst can be measured
Research process
Pilot studies
Small scale trial run to test research design and fix issuess before the main study
Respondent validation
Sociologist’s interpretation of data is checked with thoes that took part to ensure that datta collected is accurate and fairly interpreted
Sampling methods
Population
A group of people who are at the focus of the researchers interest
Sampling methods
Sample frame
Group of people who take part in the research, sample is drawn from the research population
Demand characteristics
Demand characteristics
When a participant changes their characteristics because they know they are being watched
Demand characteristics
Screw you effect
Participant guesses the conclusions
Demand characteristics
Social desireability
When a particiant acts in a way deemed good by society rather than how they actually would
Demand characteristics
Hawthorne effect
Participent guessesthe conclusions the researcher wants to draw and acts/ responds in a certain way
Sampling methods- random
Random sampling
Everyone has an equal chance of selection
Sampling methods- random
Random sampling- positives
- Fair and unbias
- Good for large populations
- Representative
Sampling methods- random
Random sampling- negatives
- May not reflect population diversity
- Can be impractical for large groups
- Could be costly and time consuming
Sampling methods- non-random
Quota samplin- negatives
- Researcher bias as participents are chosen
- Not random
- Can be unreresentative
Sampling methods- random
Random sampling- negatives
- May not reflect population diversity
- Can be impractical
- May be costly and take time
Sampling methods- random
Systematic sampling- positives
- Reduces bias
- Simple and quick
- Representative
Sampling methods- random
Systematic sampling
Every nth person
Sampling methods- random
Systematic sampling- negatives
- Potential for bias
- Could be unrepresentative #
- Not suitable for all populations
Sampling methods- random
Stratified sampling
Population divided into groups and sampled proportionally
Sampling methods- random
Stratified sampling- positives
- More representative
- Ensures key groups are included
- Allows for the comparison of different groups
Sampling methods- non-random
Quota sampling- positives
- Representative
- Less time consuming
- Simple
Sampling methods- non-random
Quota sampling
Researcher selects participents to match population proportions
Sampling methods- non-random
Snowball sampling
Participents recruit others
Sampling methods- non-random
Snowball sampling- positives
- Good to hard to reach groups
- Can provide detailed insights
- Low cost
Sampling methods- non-random
Snowball sampling- negatives
- Highly unrepresentative
- Not objective
- Hard to generalise
Sampling methods- non-random
Opportunity sampling- positives
- Quick and convientent
- Low cost
- Useful for pilot studies
Sampling methods- non-random
Opportunity sampling
Using people who are readily available
Sampling methods- non-random
Opportunity sampling- negatives
- Highly unrepresentative
- Not objective
- Hard to generalise
Sampling methods- non-random
Non-random sampling
Deliberatly targating specific groups rather than randomly selecting a sample from the general population
Sampling methods- non-random
Non-random sampling- positives
- Cost effective
- Time efficient
- Targets specific groups of people
Sampling methods- non-random
Non-random sampling- negatives
- Researcher bias
- May not be generalisable
- May not be reliable
Sampling methods- non-random
Purposive sampling
Researcher chooses individuals or cases that fit the nature of the research
Sampling methods- non-random
Perposive sampling- positives
- Data collection is targated
- Efficent
- Flexible
Sampling methods- non-random
Purposive sampling- negatives
- Limited generalisability
- Researcher bias
- May not be reliable
Sampling methods- non-random
Volunteer sampling
Sociologists advertise for research volunteers and participents self select
Sampling methods- non-random
Volunteer sampling- advantages
- Cost efficent
- Wide sample frame
- Good for hard to reach groups
Sampling methods- non-random
volunteer sampling- negatives
- May not be representative
- Limited generalisability
- Potential for bias
Surveys
Longitutional surveys
Studying the same group of people over a long period of time
Surveys
Questionaires
List of questions written down in advance that are given to the respondent, could be online or in person
Surveys
Questionairs- positives
- Large sample size making results more generalisable
- Cost effective
- Reliable
Surveys
Questionairs- negatives
- Low response rates
- Social desirability
- Lacks depth
Interviews
Structured interviews
Standardised questions asked face to face or over the phone
Interviews
Structured interviews- positives
- Easy to compare
- Quick to conduct
- Large sample possibility
Interviews
Structured interviews- negatives
- Lacks depth
- Researcher bias
- May not reflect true opinions
Interviews
Semi-structured interviews
Balance between unstructured and structured interviews, allows for flexibility while mantaining focus
Interviews
Unstructured interviews
Informal open ended conversations for in depth understanding
Interviews
Semi-structure interviews- positives
- Rich in qualitative data
- Adaptable
- Builds a rapport
Observations
Observations
Researcher watches participants in real-life setting
Interviews
Group interviews- positives
- Observation of group dynamics
- Wide pool of candidates
- Allows for comparison
Interviews
Group interviews- negatives
- Limited individual assessment
- Difficulty recording and analysing
- Social desirability bias
Ethnography
Ethnography
Involves the researcher inserting themselves into the natural setting of the social group being studied and participating in and observing their daily activities
Interviews
Unstructured interviews- positives
- High validity
- Builds a rapport
- Flexible
Interviews
Semi-structured interviews- negatives
- Time consuming to analyse
- Potential for bias
- Subjective
Interviews
Unstructured interviews- negatives
- Time-consuming
- Hard to replicate and compare
- Risk of interviewer bias
Interviews
Group interviews
Multiple candidates are interviewed simultaneously
Ethnography
Ethnography- positives
- Detailed data
- Hollistic observation
- Contextual understanding
Ethnography
Ethnography- negatives
- Time consuming
- Not necessarily generalisable
- Ethical considerations
Observations
Observations- positives
- High validity
- Rich detailed data
- Useful for studying groups in depth
Observations
Non-participant observations- positives
- Maintains objectivity
- Reliable
- Natural setting
Observations
Observations- negatives
- Ethical issues
- Hard to generalise
- Researcher may become bias
Non-participant observations- negatives
- Researcher bias
- Hawthorne effect
- Ethical concernes
Observations
Non-participant obervations
Where the researcher observes a sitiation without engaging
Observations
Participant observation
Researcher joins in a groups and looks at the members activities or daily lives
Observations
Participant observations- positives
- Validity
- Insight
- Flexibility
Observations
Participant observations- negatives
- Small sample sizes hard to generalise
- Researcher bias
- Time consuming
Observations
Overt observation
Participants know they are being observed
Observations
Overt observation- advantages
- Ethical transparency
- Reduces researcher bias
- Easy access for data recording
Observations
Overt observation- negatives
- Hawthorne effect
- Reduced validity
- Difficult for studying sensative behaviours
Observations
Covert observation
Participants are unaware they are being observed
Observations
Covert observation- positives
- Natural behaviour
- Access to deviant groups
- High reliability
Observations
Covert observation- negatives
- Ethical concernes
- TIme consuming
- Risk of harm
Statistics
Official statistics
Statistics collected by governements or official bodies
Statistics
Official statistics- positives
- Large sample size
- Trend analysis
- Accessible
Statistics
Official statistics- negatives
- Lack of control
- Potential for manipulation
- Underreporting
Statistics
Unofficial statistics
Statistics gathered by non-governmental sources
Statistics
Unofficial statistics- positives
- Flexibility and specificity
- Diverse perspecives
- Cost-effective
Statistics
Unofficial statistics- negatives
- Potential for bias
- Reliability issues
- Lack of generalisability
Media
Content analysis
Analysing media content to identify how particular social groups or social situations are being portrayed
Media
Content analysis- advantages
- Unobtrusive data collection
- Reliable
- Accessable and efficient
Media
Content analysis- disadvantages
- Subjective- researcher bias
- Context ignored
- Limited preexisting material
MIxed methods
Triangulation
Combining research methods to check or verify thr validity of the research findings
MIxed methods
Triangulation- positives
- Enhances validity and reliability
- Reduces bias
- Increases confidence in findings
MIxed methods
Triangulation- disadvantages
- Time and resource intensive
- Increases conplexity in data analysis
- Potential for conflicting findings
MIxed methods
Methodological pluralism
Combining different reasearch methods to build up a fuller picture of what is happening
MIxed methods
Methodological pluralism- advantages
- Enhanced validity and reliability
- More comprehensive understanding
- Adresses limitations of single method
MIxed methods
Methodological pluralism- disadvantages
- Increased complexity
- Potential for bias
- Resource intensive