Research Methods 2 revision cards Flashcards
What you need to know for Research Methods 2
The use of scientific methods which aim for objectivity
Procedures for each method of investigation:
- Survey methods
- Questionnaires including closed and open questions
- Interviews including structured and unstructured
- Observation including categories of behaviour and inter-observer reliability
- Case study
Advantages and disadvantages of each method of investigation (including ecological validity)
Target populations and sampling methods
- Random
- Opportunity
- Systematic
- Stratified
Correlation including an understanding of association between two variables, and of correlation relationship (without computation of formulae).
Advantages and disadvantages of using correlations
Calculations including
- Mean
- Mode
- Median
- Range
- Percentages
Anomalous results and their possible effects
Graphical representations including bar charts and scatter graphs
Ethical issues as outlined in the BPS code of ethics
Ways of dealing with each of these issues.
Define the following terms
Target population
Sample
Representative
Target population
The large group of people the researcher wants to study
Sample
The small group of people who represent the target population and who are studied
Representative
The sample of participants is made of people who have the same characteristics and abilities as the target population and therefore can be generalised
What are the 4 sampling methods? Explain them
………………….. sampling
………………….. sampling
…………………. sampling
………………….. sampling
The sample is made up of the participants in the research. They should be as REPRESENTATIVE as possible of the target population. The more representative the sample the more confident the researcher can be that the results can be GENERALISED to the target population. However in reality very few samples are truly representative because of the difficulties of sampling methods (choosing participants).
The sampling methods we could use are:
[ROSS]
- Random sampling;
- Opportunity Sampling
- Systematic sampling
- Stratified sampling.
Random Sampling
Every member of the target group has an equal chance of being selected. All members of the target population are identified and then selected out of a hat/ with a computer programme.
Opportunity Sampling
Opportunity sampling means choosing people who are members of the target population and are available and willing to take part (e.g. friends and in field studies).
Systematic Sampling
Systematic sampling means selecting participants at fixed intervals from the target population. ( “nth” member). EG if the researcher decides that ‘n’ will be ‘7’ – every 7th person in the target population is selected.
Stratified Sampling
To obtain this type of sampling, the different sub groups in the target population are identified; then people are randomly selected from these subgroups in proportion to their numbers in the target population. It’s the most complex of the sampling methods. The researcher must identify the subgroups in the target population and work out what proportion of that target population each group represents.
E.g. conducting a survey of women to ask questions about their attitude to childcare. You pick out the relevant characterises as the types of work women do, so you need to find out what proportion of females in the whole population are: self-employed, professions, manual workers. Unemployed etc. (You can get this info from census data). These categories must be represented in the same proportion in your sample. E.g. If 10% are self employed then in a sample of 50, 5 should be self employed and so on. To get the required number in each category, participants should be random-selected from the target population.
Advantages and disadvantages of sampling methods
[ROSS]
Random sampling
Opportunity Sampling
Systematic sampling
Stratified Sampling
Random sample
Pro
- It is quick, easy and convenient
- No researcher bias. This sampling method is fair and not biased because the researcher cannot choose the individual participants.
Con
- It might still not be representative because, for example, the researcher could draw out too many females, just by chance.
- It can be very time consuming and is often impossible to carry out, particularly when you have a very large target population.
Opportunity sample
Pros
- Quick cheap and easy
Con
- There’s a possibility of researcher bias (for example a researcher choosing people they know and they might try to ‘help’ the researcher so their results could be unreliable).
- Not likely to be representative of the target population because you’ve taken only people who happen to be available/ willing
Systematic sample
Pro
- Fairly cheap and fast
- No researcher bias because the researcher cannot choose the individuals.
Con
- The sample may not be representative
- The researcher needs to make sure that the list doesn’t contain a hidden order (periodicity)
Stratified sample
- Provides a sample that is in proportion, in the relevant characteristic, to the target population. It’s therefore very representative
Con
- It’s very time consuming and expensive. You have to work out what proportion needs to be selected at the beginning
METHODS OF INVESTIGATION
- Survey Questionairres
- Survey Interviews
- Case studies
- Observational studies
Note you’re also looking at Correlational studies but they are Not a research method.
What is a survey
Surveys – interviews and questionnaires
What is a survey?
“A method used for collecting information from a large number of people by asking them questions, either by using
- a questionnaire
- an interview.”
What is a questionnaire?
“A set of standard questions about a topic that is given to all the participants in the survey”
- The researcher designs a set of questions that all the respondents answer. They can be OPEN or CLOSED.
- The questions need to provide the information that’s needed for the investigation.
- A survey questionnaire collects large amounts of info from a group of people eg spread across the country.
Overall advantage and disadvantage
of survey questionnaires
Strength [choose 1]
- Large samples can be used, including people who are geographically distant
- They’re ethical as respondents can consent and withdraw.
Weakness [choose 1]
- The return rate is uncertain (it can be from 5/ 50%)
- There’s no way of knowing whether the respondents lied in their answers or misunderstood the questions.
Closed questions
“A question where the possible responses are fixed”
- Often as ‘yes’ or ‘no’ options”
- The range of possible answers is set by the researcher, e.g. yes/no; never, sometimes, often
Advantage
- Easy to quantify and quick to collate
Disadvantages [choose 1 Allie]
- There’s little detail in the answers given.
- Frustrating and restrictive for respondents because they can’t explain their answer.
Open Questions
“A question where the person answering can given any response they like”
Advantages [choose 1]
The answers to these questions provide lots of detail because respondents can explain their answers
+ Respondents get less frustrated because they’re not forced to choose an answer that doesn’t reflect what they want to say.
Disadvantages [choose 1]
It’s hard to collate and find patterns because there’s so much data
It’s difficult to compare people’s answers.
What is meant by unambiguous?
“Something that has only one meaning”
When researchers are designing survey questions they must be clear and unambiguous
What is ecological validity?
“the reseults of the investigation can be said to apply to real-life behaviour. They are an accurate account of behaviour in the real world.”
Interviews
“A method in which a researcher collects data by asking questions directly.”
Usually face to face but can also be done on the phone
Most interviews use a questionnaire. The researcher puts the answers directly on a questionnaire. Or they can record the interview and play it back to analyse later
General strength and weakness of the
Interview method
Weakness [choose 1]
- Can’t be sure if the interviewee is telling the truth and understands the question
- Respondents may give answers that they think the interviewer wants to hear
Strength [choose 1]
- Produce large amounts of data because lots of people can be involved
What is an interviewee?
“The person/ respondent who answers the questions in an interview”
What is a structured interview?
“An interview in which all the questions are pre-set, given in a fixed order and every interviewee is asked the exact same questions.”
Mostly use closed questions, though they could have some open.
Strength and weakness of a structured interview
Strength
- Usually fast to collate and easy to analyse
Weakness
- The respondent could be frustrated by the restrictions of the structure
What is an unstructured interview?
“An interview in which only the first question is set and all the other questions are determined by the answers of the interviewee.”
So the researcher has a starter question and an idea of main themes, but after the first question the interviewer lets the interviewee respond how they like and they ask the next question based on the answer