Methods of research (Week 8) Quantitative & Qualitative data Flashcards
Quantitative & Qualitative data
PET
Practical, Ethical & Theoretical issues
Before a researcher begins their research, they must consider 3 types of issues:
**Practical: ** Funding, availability of data, what methods are realistically possible.
Ethical: Informed consent, deception, privacy, confidentiality, protection from harm
Theoretical: Are they interpretivist or positivist in their outlook?
Positivism
- Positivist sociology models itself on the natural sciences
- It favours ‘hard’ quantitative data
- Less concerned with meanings
- Focused on the what not the how
- Preferd methods> questionnaires, structured interview, surveys that produce data that can be translated into numbers.
Interpretivists
- Looks at the world through the eyes of the research subject
- Favour observation methods
- Look to gain qualitative data
- Look to discover the meanings behind human action
Primary Data
- Information collected by the researcher personally
- information not present before the research began
- It’s generated by the researcher during the process of research.
- Can include; questionnaires, interviews, observational studies
Primary data - Strengths & Weaknesses
**Strengths: **
* Reasearcher has full control over how the data is collected, by whom and for what purpose.
* Researcher has greater control over the reliability, validity and representativeness of the data.
Weaknesses:
* Can be time-consuming to design, construct and carry out.
* Can be expensive
* Researcher may have difficulty gaining access to the target group.
* Some people may refuse to ppt or may no longer be alive (historical research)
Secondary Data
- Data that already exists in some form
- eg. Documents, government reports/statistics, personal letters and diaries
- Could also be previous research completed by other sociologists
Secondary Data - Strengths
**Strengths: **
* Saves time for researcher
* Saves money/effort by using existing data
* Situations when secondary data is the only available resource
* Useful for historical/comparative purposes
* Some forms (offical stats) may be highly reliable because it’s collected consistently, in the same way from the same sources.
* More likely to represent what it claims to represent.
Secondary data - Weaknesses
- Not always produced with the needs of the sociologist in mind eg. Official definitions of poverty, class or ethnicity may be different from sociological definitions.
- Sources may be unreliable eg. personal documents
- Some forms may only reflect the views of a single indivdual rather than represently wider opinions. eg. historical documents
Quantitative data
Data in the form of numbers.
1. A raw number eg. total number of people who live in a society.
2. A percentage, or the number of people per 100 in a population.
3. A rate, or the number of people per 1,000 in a population; eg, a birth rate of 1 means that for every 1,000 people in a population, one baby is born every year.
Quantitative data - Strengths
- Useful for measuring the strength of relationships between various factors.
- Useful for comparing numbers
- Allows sociologists to summarise sources of information
- Statistical comparisons and correlations can test whether a hypothesis is true/false
- Can track changes in behaviour
Quantitative data - Weaknesses
- Artifical setting is often used in order to control the responses and data collected.
- People rarely encounter situations where they are asked to respond to a list of questions from a stranger or be observed in a lab (lacks mundane realism)
- Impossible to capture normal behaviour due to artificial environment
- Quantitative data can only capture the who, what, when, where and not the why
- Lacks validity
- Lacks depth - does not reveal reasons for behaviour
- Often seen as superficial and surface level
Qualitative data
All data not in the form of numbers.
eg. Descriptive data from observations
eg. Quotes from interviews
eg. Written sources (diaries, novels)
eg. Pictures (photos, paintings)
* Captures the quality of people’s behaviour
* Involves questions about how people feel and can be used to understand the meaning’s applied to behaviour eg. Venkatesh studied young gang members from the viewpoint of it’s city members.
Qualitative data - Strengths
- People can talk/act freely
- Researcher can capture complex reasons for their behaviour
- Researchers may establish a personal relationship with resondents in order to experience their lives.
- Studies people in their normal settings
- Results more likely to show how people really behave
- Data tends to be more valid
Qualitative data - Weaknesses
- Focuses on small groups limits the ability to apply data more widely
- Difficult to compare qualitative data across time and location (no two groups will ever be the same)
- Depth and detail of the data makes it difficult to replicate = low reliability
Validity
Data is valid if it presents a true and accurate description of measurement.
eg. official statistics on crime are valid if they provide an accurate measurement of the extent of crime.