Interpretivists prefer qualitative methods, methods that produce non-numerical data, as they give us a 'feel' for what something is like.
Qualitative methods
Unstructured interviews
Participant observation
Personal documents
Positivists prefer to use quantitative methods, data in numerical or statistical form, that they believe will produce objective true, scientific knowledge of society
Positivists see society as an objective reality made up of social facts. Social reality follows patterns that exist because society influences its members, systemically shapes their behaviour. These patterns can be observed and measured.
Positivists believe they can establish cause and effect through observation and measurement
Quantitative methods
Questionnaires
Experiments
Structured interviews
Official statistics
What are the Practical Issues of lab experiments
They are closed systems whereas society is an open system
Individuals are complex so hard to 'match' members of control and experimental groups exactly
Cannot be used to study the past
Can only use small samples
Hawthorne effect
Expectancy effect - researchers expected outcomes my influence actual outcome
Ethical issues of Lab experiments
Informed consent - though some experiments may benefit from some subjects being deceived
Harm to subjects- experimental group gain from experiment but control group don't - therefore there needs to be a moment where the same treatment is offered to the control group
Theoretical Issues of Lab experiments
Reliability - easily replicable
Less likely to be representative- small sample and lack external validity due to high control and unnatural setting
May lack internal validity due to artificiality and Hawthorne effect
Interpretivists argue against lab experiments as humans are different from rocks and plants (and other things natural scientists study). We have free will and choice and our behaviour is not caused by external forces. Our actions can only be understood by the choices we freely make.
Issues with Field experiments
unethical: carried out without subject's knowledge or consent (can be argued no harm was done in Wood et al's experiment no harm was done)
Cannot be certain if true cause was identified as there are there many other variables that cannot be controlled
Issue of comparative method
avoids artificiality
can be used to study the past
avoids ethical problems
even less certainty due to even less control
What is the comparative method
identifies two groups that are alike in all major aspects except for the one variable of interest
compares the two groups using secondary data to see if the one difference between them has any effect
E.g. Durkheim's study of suicide (1897)- used official statistics to compare causes of suicide
Practical Issues of Questionnaires
quick and cheap way to gather large amounts of data
no need to recruit and train interviewers
data is easily quantifiable
may need to offer incentives
Low response rate
inflexible
data is often limited and superficial
only provides a snapshot
Theoretical Issues
Reliability- easy to replicate
Representative- large scale and sampling frames (can be undermined low response rate)
Detachment and objectivity- unbiased
Lying, forgetting, misunderstanding and trying to impress
Imposing researchers meanings
Interpretivists see questionnaires as they see them as lacking validity. They argue to get valid data, you must be closely involved with the people you're researching so you can gain a subjective understanding of their means.
What is imposing the researcher's meaning's
questionnaires are more likely to impose the researcher's framework of ideas on the respondent than to reveal the respondent's meanings
this is done by choosing the questions in advance
close ended questions force respondents to fit their views to the answers on offer
open ended questions causes non-identical answers to sometimes get lumped up together when quantifying
Shipman (1997) when researcher's categories are not the same as respondents' 'pruning and bending of data is inevitable
Practical Issues of Structured Interviews
Can cover quite large numbers of people e.g. Young and Willmott (1963) interviewed 933 people in this way on their study of east London families
Suitable for gathering straightforward factual information e.g. person's age, job, daily routine etc.
Results are easily quantifiable
Inexpensive and easy to train interviewers
High response rates e.g. Young and willmott only had 54 refusals out of 987 people they approached
inflexible as they are standardised
only snapshots
Theoretical Issues of structured interviews
Reliable - easy to replicate
Representative- quick and cheap so large numbers can be surveyed (however people may lack time and willingness to be interviewed)
Interpretivists believe structured interviews produce a false picture as they:
Usually use closed-ended questions
Give little freedom to explain questions or clarify misunderstandings
People may lie or exaggerate, producing invalid data
May impose researcher's framework of ideas on interviewee
Feminists also reject structured interviews and questionnaires as the relationship between researcher and responded reflects the exploitive nature of gender relationships in patriarchal society.
Reinharz (1983) "researchers take hit, and run. they intrude into their subjects' privacy"
Anne Oakley (1981) there is a strict division of labour in structured interviews. Researcher takes active role and interviewees are passive objects in the study.
Practical Issues of official statistics
free source of huge amount of data
the state has power to compel certain individuals to supply certain data
allow for comparisons between groups
collected at regular intervals so can show trends and patterns over time
statistics are collected for state purposes so there may be none available for topic of interest
definitions state uses when collecting data may be different to sociologist's
Theoretical issues of official statistics
Representative as they are very large-scale and often cover the entire population.
Reliable as they are compiled by trained staff who use standardise categories and collection techniques and follow set procedures to ensure they can easily be replicated.
Interpretivists view statistics are social constructs that represent the labels officials attach to people. They argue that officials pigeonhole individuals into becoming mere statistics. For interpretivists official statistics are often considered invalid.
Soft statistics tend to give a much less valid picture of reality. They are often compiled from administrative records from state agencies. They represent only what these agencies have decided to record. They often neglect a 'dark figure" of unreported cases.
Hard statistics provide a more valid picture as there is little dispute on how to define the categories used to collect the data and they are often created from registration data.