Methods of research (Week 9) Primary sources of data Flashcards
Primary Sources of data
Primary Quantitative Data
Methods:
* Questionnaires
* Surveys
* Experiments
* Content analysis
Primary Sources
Questionnaires
Questionnaires consist of written questions. eg:
* Postal questionnaires
* Researcher-administered questionnaires (completed in the presence of researcher, with respondents answering questions verbally).
Primary Sources
Postal Questionnaires
- Questionnaires involve closed ended questions/pre-coded. Which involve the researcher to provide a set of answers that the respondent can choose.
- The researcher limits the responses that can be given by offering multiple choice
Eg. Do you own a sociology textbook?
Yes - No - Don’t know - Questionnaires also can have open-ended questions and for these the researcher doesn’t provide possible answers.
- The respondent answers in their own words which allows the researcher to gain deeper insight.
eg. What was your day like today?
Questionnaires - Strengths
- Pre-coded questions make it easier to quantify data because the options are already known, they are limited in number and easy to count.
- Closed questions are quick and easy to code; (a simple count of the number of responses).
- Closed questions are useful when researcher needs to contact large numbers of people quickly and efficiently.
- Can result in highly reliable data because everyone answers the same questions.
- Easy to replicate the research.
- Because they are anonymous, the validity of the research is improved especially when involves personal questions.
- Less risk the respondent will give biased answers or try to anticipate what the researcher wants to hear (Hawthorne effect).
Questionnaires - Weaknesses
- low response rate - Only a few respondents will return it = unrepresentative sample
- Nothing the researcher can do if respondents ignore certain questions or respond incorrectly.
- The questionnaire format makes it difficult to examine complex issues and opinions.
- The researcher has to decide what is and what is not significant.
- Anonymity may encourage honesty
- Do not know if the correct respondent has answered the questions - affects the validity/representativeness of the research.
- unintentional biased questions eg. If a question has more than one meaning or
Leading questions. - If an option is not precisely defined, it will mean different things to different people.
Structured Interviews
A structured interview is where the researcher asks questions to respondents in person.
To achieve consistent and comparable results, the same questions are asked in the same order each time – there is no flexibility to change the order of the questions.
Structured Interviews - Strengths
- little chance of the questions not being understood or of the respondents answering the questions incorrectly.
- Will have your representative sample – response rate will be 100%
Structured Interviews - Weaknesses
- involve assumptions about people’s behaviour.
- Can contain biased questions.
- The lack of anonymity in an interview can cause Hawthorne effects, respondents give answers, they think the researcher wants to hear.
- The researcher effect is when the relationship between researcher and respondent may bias responses:
Aggressive interviewers may introduce bias by forcing or intimidating respondents into giving answers that they do not really believe.
Status considerations, based on factors such as gender, age, class and ethnicity may also bias the data.
Experiments
- Involve testing the relationship between different variables.
- Researcher manipulates IV to see if they change DV.
Relationship could be:
1. Correlation - Variables change at the same time, suggesting a relationship.
2. Causation - when one action occurs, another always follows. Allow reseacher to predict future behaviour.
Ways to separate correlation from causality
- Test and retest a relationship. More times a test is replicated with the same result, the greater the chances that the relationship is casual.
- Use different groups with exactly same characteristics.
- Have a experimental group whose behaviour is manipulated
- Have a control group whose behaviour is not manipulated.
Lab experiments
- Take place in a controlled environment.
- Conditions are precisely monitored and controlled.
- Ensures no EVs affect the relationship between the DV and IVs.
- Unusual in sociology because they involve an artificially created situation so it’s unlikely the findings will apply to the real world.
- Ppts will be aware research is taking placr and this effects how they behave.
- Also raise ethical issues about consent
Field experiments
- More appropriate for sociological research
- Not conducted in a closed, controlled environment.
- Try to establish correlations as it’s difficult to control all variables.
- Researchers use DVs and IVs to test a hypothesis or answer a research question.
Case Study - Rosenthal & Jacobson (1968)
Aim - To test the hypothesis that teacher’s expectations influence how well their students do in school.
DV - was students level of achievement
IV - the expectations that teachers had about the ability of their students.
* R & J manipulated the IV by pretending to be psychologists who could, identify children who would display ‘dramatic intellectual growth’ based on a IQ test.
* They tested the students and then randomly classed some students as ‘later developers’.
* The researchers informed the teachers of their findings.
* They retested the students and discovered that the IQ scores of those students whose teachers believed were ‘late-developing high flyers’ had significantly improved.
Experiments - Strengths
- Lab experiments are easier to replicate than field because researcher has more control.
- Standardised conditions give high reliability
- Can create highly valid statements about behaviour based on cause-and-effect relationships.
- Field experiments can be used to manipulate situations in the real world to understand reasons for everyday behaviour.
Experiments - Limitations
- Difficult to control all possible influences on behaviour
- Awareness of being studied can cause the Hawthorne effect (observer effect)
Formal content analysis
- This method attempts to quantify the contents of a document in an objective manner.
- Content Analysis has both quantitative and qualitative forms.
- Quantitative analysis uses statistical techniques to categorise and count the frequency of people’s behaviour using a content analysis table.