official statistics (secondary data) Flashcards
briefly explain official statistics and give some examples of statistics collected
qualitative and secondary data collected by the government or other official bodies or organisations/groups (e.g. trade unions, charities and businesses)
- e.g. in birth, marriage, unemployment, crime, poverty statistics
give 2 main ways of collecting official statistics
registration- e.g. law requires parents to register birth of their child
official surveys- e.g. the census (biggest one done every 10 years) and general household survey
are official statistics ethical
generally they are as they don’t reveal any personal information about a specific individual.
give 4 practical advantages of official statistics
- accessible: everyone can view them as they are online
- cheap: free source of huge amounts of data (as it’s secondary)
- allows comparisons between groups: many different stats on different groups/topics to compare to
- shows patterns and trends over time: collected at regular intervals
give 4 practical disadvantages of official statistics
- lacks depth (quantitative doesn’t show feelings or background information to the number)
- may not be any statistics available on a particular topic of research (they are government collected not for benefit of sociologists)
- definitions state uses in collecting data may be different from those sociologists use (may result in mismatching sets of data)
- may be outdated: definitions change over time and may make comparisons difficult
briefly explain why positivists like official statistics
because they are social facts which are representative (large scale) and make it easier to establish patterns/trends/correlations and test hypothesis. they are also high in reliability (standardised categories) which positivists like their research to be
give 3 reasons why official statistics are representative
- cover very large numbers (sociologists couldn’t do that alone)
- care is taken with sampling procedures
- provide a better basis for making generalisations and testing hypothesis
why are official survey statistics not as representative?
as they’re only based on a sample of the relevant population (e.g. crime survey)
why do official statistics have high levels of reliability?
they’re complied in a standardised way (by trained staff following set procedures)
why do interpretivists believe official statistics are social constructions rather than social facts?
because they’re created by social actors (police, doctors, schools) which reduced their validity
hard statistics
generally more external validity
- often created through registration rather than subjective interpretation of social actors (birth and marriage certificates).
soft statistics
generally less valid because they’re based on decisions of social actors
- they often neglect a ‘dark figure’ of unrecorded cases
external validity
examines whether the findings of a study can be generalised to other contexts
give 3 criticisms marxists make of official statistics
- believe they’re part of the ISA (ideological state apparatus, by Althusser), meaning that the proletariat stays in a state of false class consciousness
- any statistics which highlight the exploitative nature of capitalism aren’t published (e.g. class differences in death rates aren’t included in the census)
- social class differences in statistics are based on occupation which often conceals the wealth of the ruling class
give 3 criticisms feminists make of official statistics
- official statistics are created by the state, which helps to maintain patriarchal oppression (e.g. there’s a considerable amount of statistics on employment outside the home but little on unpaid domestic work)
- definitions have been changed (no longer use the term ‘male head of household’)
- they don’t necessarily highlight the gender pay gap correctly, due to the state creating them they may try hide any gender differences to ensure patriarchy of society is maintained