Paper 3 Flashcards
Different types of quantitative research methods
- true experiment
- field experiment
- quasi-experiment
- natural experiment
- correlational study
- case study
- survey
Key characteristics of a true experiment (experimental method)
- examines the effects of an IV on a DV
- the researcher manipulates the IV, so random allocation to the treatment or control condition is possible
- takes place in a controlled environment and extraneous variables are controlled
Key characteristics of a field experiment (experimental method)
- examines the effect of an IV on a DV
- takes place in a naturalistic setting
- control of extraneous variable is not always possible
Key characteristics of a quasi-experiment (experimental method)
- examines the effect of an IV on a DV
- one or more conditions of a true experiment can’t be met, e.g. no random allocation is possible
- “in quasi-experiments, participants are grouped based on a characteristic of interest, such as gender, ethnicity, or scores on a depression scale”
Key characteristics of a natural experiment (experimental method)
- examines the effects of an IV on a DV
- the IV is naturally occurring
- extraneous variables may not always be controlled
(can be confused with a quasi-experiment)
Key characteristics of a correlational study (non-experimental method)
- does not have an IV and DV, but has co-variables
- tests the strength of relationships of co-variables by calculating a correlation coefficient
- values of coefficients range from -1.0 to 1.0
Key characteristics of a case study (non-experimental method)
- an in-depth investigation of an individual, small group or organisation
- multiple methods are used to gather data (which is what makes them “in-depth”)
- they often use a combination of quantitative and qualitative methods
Key characteristics of a survey
- gathers data on a large number of participants
- uses data gathering techniques such as questionnaires
- often calculates correlations between co-variables
Different types of qualitative research methods
- naturalistic observations
- covert and overt observations
- participant and non-participant observations
- qualitative interviews
- semi-structured interviews
- unstructured interviews
- focus group interviews
Key characteristics of a naturalistic observation
- subjects’ behaviour is observed in a naturalistic environment
- field notes and other data gathering techniques are used
- observations may be followed by interviews
Key characteristics of covert and overt observations
- covert=subjects are not aware they are being observed
- overt=subjects are aware they are being observed
- usually take place in naturalistic environments in qualitative research
Key characteristics of participant and non-participant observations
- participant = the research becomes a member of the group they are observing
- non-participant = the researcher stays removed from the group they are observing
key characteristics of qualitative interviews
- face-to-face discussion involving the researcher asking questions to the participants
- the researcher gathers qualitative data
- there are many different types of qualitative interviews
Key characteristics of semi-structured interviews
- an interview that follows an interview schedule - it includes an outline of topics tot be covered, but allows for deviation and elaboration
- can include a combination of open and closed questions
- it resembles a conversation
Key characteristics of unstructured interviews
- the interviewer has topics to cover, but there is a lot of freedom and the precise questions and order are not fixed
- can include open and closed questions
- the interview evolves as a result of the interactions between the research and the interviewee
Key characteristics of focus group interviews
- a group interview (about 6-10 participants)
- focus group rely on group processes and the interaction of individuals to help reveal information that might not be revealed individual interviews
- the interviewer acts as a moderator and, if done well, the interview will resemble a group discussion
Key characteristics of random sampling
- when every member of the target population has an equal chance of being selected
- the aim is to obtain a sample that is representative of the target population
- it can reduce the chance of sampling bias
Key characteristics of convenience/opportunity sampling
- gathers participants who happen to be available for study at a convenient time or place
- it is based on convenience, for both researcher and participant
- depending on the nature of the study, it may lead to sampling and/or researcher bias
Key characteristics of volunteer/self-selected sampling
- participants are the ones that approach the researchers and volunteer to participate in the study
- there is typically some form of marketing that calls for volunteers
- participants may have more commitment to the study due to the fact that they volunteered
Key characteristics of purpose sampling
- participants who share characteristics that are relevant and of interest to researchers are asked to participate in the study
- it may use snowballing methods to gather the sample
- they may be recruited through a range of methods, including direct contact or referral from someone else
Key characteristics of snowball sampling
- a group of initial participants (called “seeds”) invite others to participate in the study
- the sample keeps growing in size until the desired size has been reached
- it is particularly useful when studying “hidden populations (people who do not want others to know about them or who are hard to find)
Why would you use triangulation as an additional research method?
- the use of an additional method is methodological triangulation. This could increase the credibility (qualitative) or reliability (quantitative) of the study if similar findings are reported
- if using this explanation, consider if there is a reason to think that the study would benefit from triangulation
Why would you use experimental research as an additional research method?
Effects of an IV on a DV
- an experiment may be conducted if there is a reason why researchers may want to study the effect(s) of one or more variables on a particular behaviour
- perhaps a different type of experiment could be conducted (e.g. a field experiment) to test the effects in a naturalistic setting. Alternatively, a laboratory environment could be proposed to control for extraneous variables. A natural experiment could be used if a naturally-occurring IV could be identified
- an experimental method could test hypotheses generated from a qualitative study
Why would you use correlational study as an additional research method?
Relationships between co-variables
- this could be a suitable method if there are two co-variables that can be identified in the study and researchers can see how strongly they are connected
- the correlational method could deduce the strength of the relationship. This could lead to further development of hypotheses