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
Interpretivists
Primary Data
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
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
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
Quantitative data - Weaknesses
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
Qualitative data - Weaknesses
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.
Reliability
Data is reliable when different researchers using the same methods obtain the same/similar results. And you can replicate the study.
eg. if a number of researchers observed the same crowd at the same sporting event and produced the same description of crowd behaviour, then their account would be reliable.
Secondary Sources of Data
Official statistics
Official Statistics - Strengths
‘Hard’ and ‘Soft’ Statistics
Hard Statistics: Have a high level of accuracy and cannot be doubted. eg. Divorces have to be legally registered so accurate records.
Soft Statistics: Less accurate. eg. Unemployment rate because there are different ways of defining ‘unemployment’. Depending on which denfinition is used the figure may differ greatly.
* May also be politically biased
Official statistics - weaknesses
Perspective on official statistics - Positivist view
Perspectives on official statistics - Interpretivist view
Marxist view of official statistics
Secondary Source data
Historical Documents