Section 7 : Research Methods Flashcards
What are the different types of experiments
- Laboratory
- Field
- Natural
- Quasi
What are the strengths of Lab experiments
- Control; effects of confounding variables are minimised
- Replication; strict control means you can run the study again to check findings
- causal relationships; ideally possible to establish whether one variable causes change in another
What are the limitations of lab experiments
- Artificial; lacks ecological validity, might not measure real life behaviour
- demand characteristics; participants may respond to what they think is being investigated (bias results)
- ethics; deceptions is often used, making informed consent difficult
What are the strengths of field experiments
- Causal relationship; can still establish causal relationship by manipulating key variable and measuring the effect, tough to do on field experiments though
- ecological validity; field experiments are less artificial, relate to real life better than lab experiments
- demand characteristics can be avoided if participant doesn’t know if they are in the study
What are the limitations of field experiments
- less control; confounding variables may more likely in a natural environment
- ethics; participants may experience distress because they didn’t agree to take part or be debriefed. Observation must respect privacy
What are the strengths of natural experiments
- ethical; possible to study variables that it would be unethical to manipulate
- demand characteristics; participants might not know they are in a study, behaviour likely to be more natural
- ecological validity; tend to be less artificial and so likely relate better to real life
What are the limitations of natural experiments
- causal relationships; hard to establish causal relationship due to key variable not being manipulated
- ethics; deception often used, informed consent is difficult. Confidentiality may be compromised if community is identifiable
What are the strengths of quasi experiments
- control; quasi experiments are often carried out under controlled conditions
- ecological validity; research often less artificial than lab studies, more likely to be able to generalise the result to real life
What are the limitations of quasi experiments
- participant allocation; can’t randomly allocate participants to each condition, confounding variables can affect results
- causal relationship; can be hard to establish cause and effect because independent variable isn’t being manipulated
What are naturalistic observations
- Observing subjects in their natural environment
- researchers have to take great care not to interfere in any way with the subjects they are studying
What are the strengths of naturalistic observation
- ecological validity; participants behaviour is natural and there are no demand characteristics, as the participant is unaware of being observed
- theory development; these studies can be a useful way of developing ideas about behaviour that could be tested in more controlled conditions later
What are the limitations of naturalistic observations
- extraneous variables; cannot control variables that may affect behaviour
- observer bias; observer’s expectation may affect what they record or focus on, affects reliability, other observers may have come up with other results
- ethics; should only conduct observations where people might expect to be observed by strangers, limits where naturalistic observations can be done, debriefing is difficult, must respect privacy, informed consent is tricky
what does correlational research look for
- relationship between two variables
- as these variables arent manipulated it is not possible to state that just these two variables rise and fall together
what are the advantages of correlational research
- casual relationship, can be ruled out if no correlation exists
- ethics, you can study variables that would be unethical to manipulate
what are the limitations of correlational research
- casual relationships, these cannot be assumed from a correlation whihc could be caused by a third unknown variable
- ethics, misinterpretation can be an issue. sometimes the media infer causality from a correlation
What are the self-report techniques
- Questionaires
- Interviews
What are the strengths of questionaires
- practical, you can collect a large amount of information quickly and relatively cheaply
What are the limitations of questionnaires
- Bad question, leading or unclear questions can affect data
- biased sample, some people are more likely to respond and makes results unrepresentative
- self report, people often give socially desirable results meaning they aren’t reliable
- ethics, confidentiality can be a problem especially a round sensitive issues
What is the difference in structured and unstructured interviews
- Structured interviews follow a fixed set of questions that are the same for all
- Unstructured interviews may have discussion topics, but less constrained about the conversation
What are the strengths of interviews
- Rich data, fewer constraints than questionnaires
- pilot study, useful in getting information before a study
What are the limitations of interviews
- self report, can be unreliable and affected by socially desirability bias
- impractical, can be time-consuming and requires skilled researchers
- data analysis, can be tricky to analyse as there could be large amount of qualitative data
- ethics, confidentiality can be a problem
What are the strengths of case studies
- Rich data, researchers have the opportunity to study rare phenomena in a lot of detail
- unique cases, can challenge existing ideas and theories and suggest ideas for future research
What are the limitations of case studies
- causal relationships, cause and effect of a relationship can’t be established
- generalisation, only studying a single case makes generalisation of results difficult
- ethics, informed consent can be difficult to obtain in some cases
What is content analysis
- research method used to analyse secondary data and data you’ve already collected
- it involves splitting data into categories
What are the strengths of content analysis
- inexpensive and easy
- ethics, may be fewer ethical issues as participants aren’t directly involved
What are the limitations
- data analysis can be time-consuming
- subjectivity, interpretation and categorising the data can be subjective
What is an aim
A statement of a study’s purpose
What is a hypothesis
A hypothesis is worded in a way that states a prediction of what will be shown by the research
What are the four types of hypothesis
- Null
- Alternative
- Directional
- Non-Directional
What is a null hypothesis
- what you’re going to assume is true during the study
- any data is going to back this assumption or not
- if data doesn’t support it you reject it and go with your alternative hypothesis
How might you be able to identify a null hypothesis
Usually states there there will be no relationship between key variables or no difference between the scores from the various conditions of an experiment