Non-experimental methods Flashcards
1
Q
Interviews (3)
A
- collection of data from individuals by asking them (self-report method)
- qualitative approach to research - collecting subjective data interpreted by researcher
- no cause-effect relationships but rather “perception” and “subjective understanding” of situations and events
2
Q
Structured interviews (2) + strength and limitation
A
- interview schedule states questions and order they will be asked
- often closed questions
- strength: easy to analyse data
- limitation: artificial structure imposes limitations to understanding participants
3
Q
Unstructured interviews (2) + strength and limitation
A
- specification of topics and allocation of time
- somewhat like a convo
- strength: open to the respondents’ own ideas
- may be difficult to analyse data since the interview may take many different directions
4
Q
Semi-structured interviews (2) + strength and limitation
A
- interviewer schedule with specified questions but more flexible and informal
- questions + prompts
- strength: possible to maintain focus of interview but flexible and gives opp for respondents to talk more freely
- data analysis is very time consuming
5
Q
Ethics in interviews (4)
A
- topic could be socially or personally senstive
- inform respondents about right to withdraw
- avoid abuse of information
- professional competence necessary to avoid making respondents feel uncomfortable
6
Q
Survey (3) + strength and limitation
A
- larger groups
- questionnaires
- closed or open ended questions
- strength: data collection quick and easy
- limitation: self-report data may be affected by response bias
7
Q
Questionnaires (4)
A
- data is collected through the use of written questions - surveys
- open-ended questions
- closed-ended questions
- quantitative and qualitative data
8
Q
Qualitative data analysis (3)
A
- expresses what people feel/think and not numerical
- analysis focuses on meaning of what they said
- analysis also involves interpretation
9
Q
Quantitative data analysis (3)
A
- numerical data
- analysis takes form of descriptive stats (e.g. mean, standard deviation) and inferential statistics (e.g. making inferences about population from sample)