The Steps of Quantitative Research

There are 11 stages of quantitative research: 1. Start with a theory; 2: develop a hypothesis; 3: Research design; 4: operationalise concepts; 5: select a research site; 6: sampling 7: data collection; 8: data processing; 9: data analysis; 10: findings/ conclusion; 11: publishing results.

Quantitative research is a strategy which involves the collection of numerical data, a deductive view of the relationship between theory and research, a preference for a natural science approach (and for positivism in particular), and an objectivist conception of social reality.

It is important to note that quantitative research thus means more than the quantification of aspects of social life, it also has a distinctive epistemological and ontological position which distinguishes it from more qualitative research.

11 stages of quantitative research

  1. Theory
  2. Hypothesis
  3. Research Design
  4. Operationalising concepts
  5. Selecting a research site
  6. Selecting a sample of respondents
  7. Data collection
  8. Data processing
  9. Data analysis
  10. Findings/ conclusions
  11. publishing results
a flow chart showing the 11 stages of quantitative research design from hypothesis through data collection to publishing results.

Theory 

The fact that quantitative research starts off with theory signifies the broadly deductive approach to the relationship between theory and research in this tradition. The sociological theory most closely associated with this approach is Functionalism, which is a development of the positivist origins of sociology.

One’s theoretical starting point may give rise to research questions. For example, Marxist-leaning sociologists of education have been interested in researching the effects of cultural capital on educational achievement.

Hypothesis 

Some quantitative research derives a hypothesis from the theoretical starting point to test. A hypothesis is a specific testable statement about how one or more independent variable will impact a dependent variable.

However, a great deal of quantitative research does not entail the specification of a hypothesis, and instead theory acts loosely as a set of concerns in relation to which social researcher collects data. The specification of hypotheses to be tested is particularly likely to be found in experimental research but is often found as well in survey research, which is usually based on cross-sectional design.

Research design 

The third step in quantitative research entails the selection of a research design which has implications for a variety of issues, such as the external validity of findings and researchers’ ability to impute causality to their findings.

Operationalising concepts

Operationalising concepts is a process where the researcher devises measures of the concepts which she wishes to investigate. This typically involves breaking down abstract sociological concepts into more specific measures which can be easily understood by respondents.

For example, ‘social class’ can be operationalised into ‘occupation’ and ‘strength of religious belief’ can be measured by using a range of questions about ‘ideas about God’ and ‘attendance at religious services’.

Selection of a research site

With laboratory experiments, the site will already be established, in field experiments, this will involve the selection of a field-site or sites, such as a school or factory, while with survey research, site-selection may be more varied. Practical and ethical factors will be a limiting factor in choice of research sites.

Of course some research may take place over multiple sites.

Selection of respondents

Step six involves ‘choosing a sample of participants’ to take part in the study – which can involve any number of sampling techniques, depending on the hypothesis, and practical and ethical factors. If the hypothesis requires comparison between two different groups (men and women for example), then the sample should reflect this.

Step six may well precede step five – if you just wish to research ‘the extent of teacher labelling in schools in London’, then you’re pretty much limited to finding schools in London as your research site(s).

Data collection

Step seven, data collection, is what most people probably think of as ‘doing research’. In experimental research this is likely to involve pre-testing respondents, manipulating the independent variable for the experimental group and then post-testing respondents.

In cross-sectional research using surveys, this will involve interviewing the sample members by structured-interview or using a pre-coded questionnaire. For observational research this will involve watching the setting and behaviour of people and then assigning categories to each element of behaviour.

Processing data

This means transforming information which has been collected into ‘data’. With some information this is a straightforward process – for example, variables such as ‘age’, or ‘income’ are already numeric.

Other information might need to be ‘coded’ – or transformed into numbers so that it can be analysed. Codes act as tags that are placed on data about people which allow the information to be processed by a computer.

Data analysis

In step nine, analysing data, the researcher uses a number of statistical techniques to look for significant correlations between variables, to see if one variable has a significant effect on another variable.

The simplest type of technique is to organise the relationship between variables into graphs, pie charts and bar charts, which give an immediate ‘intuitive’ visual impression of whether there is a significant relationship, and such tools are also vital for presenting the results of one’s quantitative data analysis to others.

In order for quantitative research to be taken seriously, analysis needs to use a number of accepted statistical techniques, such as the Chi-squared test, to test whether there is a relationship between variables. This is precisely the bit that many sociology students will hate, but has become much more commonplace in the age of big data!

Findings and conclusions 

On the basis of the analysis of the data, the researcher must interpret the results of the analysis. It is at this stage that the findings will emerge: if there is a hypothesis, is it supported? What are the implications of the findings for the theoretical ideas that formed the background of the research?

Publishing Results 

Finally, in stage 11, the research must be written up. The research will be writing for either an academic audience, or a client, but either way, a write-up must convince the audience that the research process has been robust, that data is as valid, reliable and representative as it needs to be for the research purposes, and that the findings are important in the context of already existing research.

Once the findings have been published, they become part of the stock of knowledge (or ‘theory’ in the loose sense of the word) in their domain. Thus, there is a feedback loop from step eleven back up to step one.

Video Summary….

The presence of an element of both deductivism (step two) and inductivism is indicative of the positivist foundations of quantitative research.

Signposting and Related Posts

Quantitative research is one the major approaches to research methods alongside Qualitative research.

For related posts please see my page on Research Methods.

This post is probably quite advanced for most students of A-level sociology and so best treated as extension work for 16-19 year olds, the material here is really moving up towards undergraduate degree level.

Sources/ Find out More about Quantitative Research

Bryman (2016) Social Research Methods

Longitudinal Studies

Longitudinal Studies are studies in which data is collected at specific intervals over a long period of time in order to measure changes over time. This post provides one example of a longitudinal study and explores some the strengths and limitations of this research method.

With a longitudinal study you might start with an original sample of respondents in one particular year (say the year 2000) and then go back to them every year, every five years, or every ten years, aiming to collect data from the same people. One of the biggest problems with Longitudinal Studies is the attrition rate, or the subject dropout rate over time.

The Millennium Cohort Study

One recent example of a Longitudinal study is the Millennium Cohort Study, which stretched from 2000 to 2011, with an initial sample of 19 000 children.

The study tracked children until the age of 11 and has provide an insight into how differences in early socialisation affect child development in terms of health and educational outcomes.

The study also allowed researchers to make comparisons in rates of development between children of different sexes and from different economic backgrounds.

Led by the Centre for Longitudinal Studies at the Institute of Education, it was funded by the Economic and Social Research Council and government departments. The results below come from between 2006 and 2007, when the children were aged five.

Selected Findings

  • The survey found that children whose parents read to them every day at the age of three were more likely to flourish in their first year in primary school, getting more than two months ahead not just in language and literacy but also in maths
  • Children who were read to on a daily basis were 2.4 months ahead of those whose parents never read to them in maths, and 2.8 months ahead in communication, language and literacy.
  • Girls were consistently outperforming boys at the age of five, when they were nine months ahead in creative development – activities like drama, singing and dancing, and 4.2 months ahead in literacy.
  • Children from lower-income families with parents who were less highly educated were less advanced in their development at age five. Living in social housing put them 3.2 months behind in maths and 3.5 months behind in literacy.

The strengths of longitudinal studies

  • They allow researchers to trace developments over time, rather than just taking a one-off ‘snapshot’ of one moment.
  • By making comparisons over time, they can identify causes. The Millennium Cohort study, for example suggests a clear correlation between poverty and its early impact on low educational achievement

The limitations of longitudinal studies

  • Sample attrition – people dropping out of the study, and the people who remain in the study may not end up being representative of the starting sample.
  • People may start to act differently because they know they are part of the study
  • Because they take a long time, they are costly and time consuming.
  • Continuity over many years may be a problem – if a lead researcher retires, for example, her replacement might not have the same rapport with respondents.

Related Posts

Explaining Social Class Differences in Educational Through Longitudinal Studies

Evaluating the Usefulness of Official Statistics

Official Statistics are numerical data collected by governments and their agencies. This post examines a ranges of official statistics collected by the United Kingdom government and evaluates their usefulness.

Click the image to search 13, 848 official statistics produced by the U.K. government

The aim of this post is to demonstrate one of the main strengths of official statistics – they give us a ‘snap shot’ of life in the U.K. and they enable us to easily identify trends over time.

Of course the validity and thus the usefulness of official statistics data varies enormously between different types of official statistic, and this post also looks at the relative strengths and limitations of these different types of official statistic: some of these statistics are ‘hard statistics’, they are objective, and there is little disagreement over how to measure what is being measured (the number of schools in the U.K. for example), whereas others are ‘softer statistics’ because there is more disagreement over the definitions of the concepts which are being measured (the number of pupils with Special Educational Needs, for example).

If you’re a student working through this, there are two aims accompanied with this post:

  1. Before reading the material below, play this ‘U.K. official statistics matching game’, you can also do it afterwards to check yer knowledge.
  2. After you’ve read through this material, do the ‘U.K. official statistics validity ranking exercise’.

Please click on the images below to explore the data further using the relevant ONS data sets and analysis pages.

Ethnic Identity in the United Kingdom According the U.K. 2011 Census

U.K. Census 2011 data showed us that 86% of people in the United Kingdom identified themselves as ‘white’ in 2011.

How valid are these statistics?

To an extent, ethnic identity is an objective matter – for example, I was kind of ‘born white’ in that both my parents are/ were white, all of my grandparents were white, and all of my great-grandparents were white, so I can’t really claim I belong to any other ethnic group. However, although I ticked ‘white’ box when I did the U.K. Census, this personally means very little to me, whereas to others (probably the kind of people I wouldn’t get along with very well) their ‘whiteness’ is a very important part of their identity, so there’s a whole range of different subjective meanings that go along with whatever ethnic identity box people ticked. Census data tells us nothing about this.

Religion according to the U.K. 2011 Census

In the 2011 Census, 59% of people identified as ‘Christian’ in 2011, the second largest ‘religious group’ was ‘no religion’, which 25% of the U.K. population identified with.

Statistics on religious affiliation may also lack validity – are 59% of people really Christian? And if they really are, then what does this actually mean? Church attendance is significantly lower than 59% of the population, so the ‘Christian’ box covers everything from devout fundamentalists to people that are just covering their bases (‘I’d better tick yes, just in case there is a God, or gods?’)

The British Humanist Society present a nice summary of why statistics on religious belief may lack validity…basically based on the ‘harder’ statistics such as church attendance which show a much lower rate of committed religious practice.

The United Kingdom Employment Rate

The employment rate is the proportion of people aged from 16 to 64 in work.

The lowest employment rate for people was 65.6% in 1983, during the economic downturn of the early 1980s. The employment rates for people, men and women have been generally increasing since early 2012.As of December 2016, the employment rate for all people was 74.6%, the highest since records began in 1971

Critics of the above data point to the existence of an informal or shadow economy in the United Kingdom which is worth an estimated £150 billion a year – people who are working and earning an income, but not declaring it. In reality, the actual paid-employment rate is higher.

Household Income Distribution in the United Kingdom

Household income statistics are broken down into the following three broad categories:

  • original income is income before government intervention (benefits)
  • gross income is income after benefits but before tax
  • disposable income is income after benefits and tax (income tax, National Insurance and council tax).

In the year ending 2016, after cash benefits were taken into account, the richest fifth had an average income that was roughly 6 times the poorest fifth (gross incomes of £87,600 per year compared with £14,800, respectively)

Reasons why household income data may lack validity

While measuring income does appear to be purely objective (you just add and minus the pounds), the income data above may lack validity because some people might not declare some of the income they are earning. Cash in hand work, for example, would not be included in the above statistics, and some money earned via the ‘gig economy’ might not be declared either – how many people actually pay tax on their YouTube revenue for example, or from the goods they sell on Ebay?

The United Kingdom Crime Rate

Below I discuss data from the Crime Survey of England and Wales (CSEW), which is a victim-survey conducted by structured interview with 35 000 households. It seems pointless discussing the crime rate according to police recorded crime because it’s such an obviously invalid measurement of crime (and the police know it), simply because so many crimes go unreported and hence unrecorded by the police.

Latest figures from the Crime Survey for England and Wales (CSEW) show there were an estimated 6.1 million incidents of crime experienced by adults aged 16 and over based on interviews in the survey year ending December 2016.

The green dot shows the figure if we include computer based crimes and online fraud, a new type of crime only recently introduced to the survey (so it wouldn’t be fair to make comparisons over time!) – if we include these the number of incidents of crime experienced jumps up to 11.5 million.

Reasons why even the CSEW might lack validity

Even though its almost certainly more valid than police recorded crime – there are still reasons why the CSEW may not report all crimes – domestic crimes may go under-reported because the perpetrator might be in close proximity to the victim during the survey (it’s a household survey), or people might mis-remember crimes, and there are certain crimes that the CSEW does not ask about – such as whether you’ve been a victim of Corporate Crime.

The U.K. Prison Population


 

 

The average prison population has increased from just over 17,400 in 1900 to just over 85,300 in 2016 (a five-fold increase). Since 2010, the average prison population has again remained relatively stable.

Prison Population Statistics – Probably have Good Validity?

I’ve included this as it’s hard to argue with the validity of prison population stats. Someone is either held in custody or they or not at the time of the population survey (which are done weekly!) – A good example of a truly ‘hard’ statistic! This does of course assume we have open and due process where the law and courts are concerned.

Of course you could argue for the sake of it that they lack validity – what about hidden prisoners, or people under false imprisonment? I’m sure in other countries (North Korea?) – their prison stats are totally invalid, if they keep any!

United Kingdom Population and Migration Data


 

 

Net migration to the U.K. stood at 248 000 in 2016, lower than the previous year, but still historically high compared to the 1980s-1990s.

There are a number of reasons why UK immigration statistics may lack validity

According to this migration statistics methodology document only about 1/30 people are screened (asked detailed questions about whether they are long term migrants or not), on entering the United Kingdom, and only a very small sample of people (around 4000) are subjected to the more detailed International Passenger Survey.

Then of course there is the issue of people who enter Britain legally but lie about their intentions to remain permanently, as well as people who are smuggled in. In short the above statistics are just based on the people the authorities know about, so while I’m one to go all ‘moral panic’ on the issue of immigration, there is sufficient reason to be sceptical about the validity of the official figures!

Ranking Exercise:

You might like to rank the following ‘official statistics’ in terms of validity – which of these statistics is closest to actual reality?

  • Immigration statistics – Net migration in 2016 was 248 000
  • Prison statistics – There are just over 85 000 people in prison
  • Crime statistics – There were around 6 million incidents of crime in 2016
  • The richest 20% of households had an average income of around £85 000 in 2016
  • The U.K. employment rate is 75% in 2016.
  • 59% of the population were Christina in 2011
  • 86% of the population was white in 2011

Related Posts

Official Statistics in Sociology

Education Statistics – 12 things Department for Education data tell us about the state of education in England and Wales today (forthcoming)

Family and Household Statistics – seven interesting statistics about family life in the U.K.

Sources

Please click the pictures above to follow links to sources…

The United Kingdom Census is a survey of every person in the United Kingdom, carried out every 10 years, the last one being in March 2011. It asks a series of ‘basic’ questions about sex, ethnicity, religion and occupation. It is the only survey which is based on a ‘total sample’ of all U.K. households. You might also like this summary – What is a Census?

U.K. Prison Population Statistics – House of Commons Research Briefing

Scientific Quantitative Methodology in Sociology

Positivists prefer to the limit themselves the study of objective ‘social facts’ and use statistical data and the comparative method to find correlations, and multivariate analysis to uncover statistically significant ‘causal’ relationships between variables and thus derive the laws of human behaviour.

This post explores the Positivist approach to social research, defining and explaining all of the above key terms and using some examples from sociology to illustrate them.

Social Facts

The first rule of Positivist methodology is to consider social facts as things which means that the belief systems and customs of the social world should be considered as things in the same way as the objects and events of the natural world.

According to Durkheim, some of the key features of social facts are:

  • they exist over and above individual consciousness
  • they are not chosen by individuals and cannot be changed by will
  • each person is limited (constrained) by social facts

According to Durkheim what effects do social facts make people act in certain ways, in the same way as door limits the means whereby you can enter a room or gravity limits how far you can jump.

Positivists believed that we should only study what can be observed and measured(objective facts), not subjective thoughts and feelings. The role of human consciousness is irrelevant to explaining human behaviour according to Positivists because humans have little or no choice over how they behave.

For a more in-depth account of social facts, have a look at this blog post: What are Social Facts?

Statistical data, Correlation, and Causation

Positivists believed it was possible to classify the social world in an objective way. Using these classifications it was then possible to count sets of observable facts and so produce statistics.

The point of identifying social facts was to look for correlations – a correlation is a tendency for two or more things to be found together, and it may refer to the strength of the relationship between them.

If there is a strong correlation between two ore more types of social phenomena then a positivist sociologist might suspect that one of these phenomena is causing the other to take place. However, this is not necessarily the case and it is important to analyse the data before any conclusion is reach.

Spurious Correlations

Spurious correlations pose a problem for Positivist research. A spurious correlation is when two or more phenomena are found together but have no direct connection to each other: one does not therefor cause the other. For example although more working class people commit crime, this may be because more men are found in the working classes – so the significant relationship might be between gender and crime, not between class and crime.

Multivariate Analysis

Positivists engage in multivariate analysis to overcome the problem of spurious correlations.

Multivariate Analysis involves isolating the effect of a particular independent variable upon a particular dependent variable. This can be done by holding one independent variable constant and changing the other. In the example above this might mean comparing the crime rates of men and women in the working class.

Positivists believe multivariate analysis can establish causal connections between two or more variables and once analysis is checked establish the laws of human behaviour.

Positivism – Establishing the Laws of Human Behaviour

A scientific law is a statement about the relationship between two or more phenomena which is true in all circumstances.

According to Positivists, the laws of human behaviour can be discovered by the collection of objective facts about the world in statistical form and uncovering correlations between them, checked for their significance by multivariate analysis.

Positivism and The Comparative Method

The comparative method involves the use of comparisons between different societies, or different points in time

The purpose of using the comparative method is to establish correlations, and ultimately causal connections, seek laws and test hypotheses.

The comparative method overcomes the following disadvantages of experiments:

  • Moral problems are not as acute
  • The research is less likely to affect the behaviour or those being studied because we are looking at natural settings
  • The comparative method is superior to the experimental method because allows the sociologist to explore large scale social changes and changes over time

However, a fundamental problem with the comparative method is that the data you want may not be available, and you are limited to that data which already exists or which can be collected on a large scale via social surveys.

Related Posts

Positivism and Interpretivism in social research

Social Action Theory – criticises the positivist approach to social research, arguing that human consciousness is too complex to reduce to numbers.

 

 

Surveys on Family Life in the UK

Social Surveys are one of the most common methods for routinely collecting data in sociology and the social sciences more generally. There are lots of examples of where we use social surveys throughout the families and households module in the A level sociology syllabus – so what do they tell us about family life in modern Britain, and what are their strengths and limitations….?

This information should be useful for both families and households and for exploring the strengths and limitations of social surveys for research methods

Attitudes to non-traditional families

Findings from British Social Attitudes 37 suggests that the British public is becoming more supportive of non-traditional families.

Headline Fact – in 2018/19 only 12% of the UK population disapproved of people having children while cohabiting, down from 22% in 2006/07.

tables of statistics showing changes in attitudes to non traditional families in the UK 2007-2019.

Disapproval for all types of non-traditional families decreased between 2006/7 and 2018/19.

Further analysis demonstrated this was due to a generational affect. In the previous round of surveys (2006/07) 50% of people born before 1927 disapproved of traditional families. However most of these had died by 2018/19 and so their attitudes did not show up in these later survey results.

Back in 1989, seven people in ten (70%) felt that people should be married if they want to have children, compared with less two in ten (17%) who disagreed.

The number of people who think couples should get married before having children has fallen dramatically in the last 40 years. In 1989 70% of people believed couples should get married before having children. This had fallen to 42% in 2012.

Percentage of the UK population who agree that parents should be married before they have children.

Judging by the low 12% disapproval rate for ‘cohabiting with children’ it seems reasonable to say that even fewer people think couples need to get married before having children in 2023!

What are the strengths of this survey

  • I’m tempted to say the validity is probably quite good, as this isn’t a particularly sensitive topic, and the focus of the questions is the ‘generalised other’, so there should be no social desirability.
  • It’s very useful for making comparisons over time – given that the same questions have been asked in pretty much the same way over different years.
  • Representativeness seems to be OK – NatCen sampled a range of ages, and people with different political views, so we can compare all that too – no surprises here btw – the old and the conservatives are more likely to be in favour of marriage.

What are the limitations of this survey?

The question above is so generalised, it might give us a false impression of how liberal people are. I wonder how much the results would change if you made the questions more personal – would you rather your own son/ daughter should be married before they had children? Or just different – ‘all other things being equal, it’s better for children to be brought up by married parents, rather than by non-married-parents’ – and then likehert scale it. Of course that question itself is maybe just a little leading….

Housework Surveys 

Headline ‘fact’ – women still do 60% more housework than men (based on ONS data from 2014-15)

housework UK

Women carry out an overall average of 60% more unpaid work than men, ONS analysis has shown.

Women put in more than double the proportion of unpaid work when it comes to cooking, childcare and housework and on average men do 16 hours a week of such unpaid work compared to the 26 hours of unpaid work done by women a week.

The only area where men put in more unpaid work hours than women is in the provision of transport – this includes driving themselves and others around, as well as commuting to work.

This data is derived from the The UK Time Diary Study (2014-15) – which used a combination of time-use surveys and interviews to collect data from around 9000 people in 4000 households.

It’s worth noting that even though the respondents were merely filling in a few pages worth of diary, this document contains over 200 pages of technical details, mainly advice on how researchers are supposed to code responses.

What are the strengths of this survey?

  • The usual ease of comparison. You can clearly see the differences in hours between men and women – NB the survey also shows differences by age and social class, but I haven’t included that here (to keep things brief).
  • It’s a relatively simply topic, so there’s unlikely to be any validity errors due to interpretation on the part of people completing the surveys: it’s obvious what ‘washing clothes’ means for example.
  • This seems to suggest the continued relevance of Feminism to helping us understand and combat gender inequality in the private sphere.

What are the limitations of this data? 

  • click on the above link and you’ll find that there is only a 50% response rate…. which makes the representativeness of this data questionable. If we take into account social desirability, then surely those couples with more equal housework patterns will more likely to return then, and also the busier the couple, the less likely they are to do the surveys. NO, really not convinced about the representativeness here!
  • this research tells us nothing about why these inequalities exist – to what extent is this situation freely chosen, and to what extent is it down to an ‘oppressive socialisation into traditional gender norms’ or just straightforward coercion?
  • given all of the coding involved, I’m not even convinced that this is really that practically advantageous…. overall this research seems to have taken quite a long time, which is a problem given the first criticism above!

Surveys on Children’s Media Usage

TikTok, Snapchat and Instagram are the most popular social media apps used by teenagers. Around 40% of teenagers use these three apps.

bar chart showing percentages of children who use social media, UK 2023.

Facebook usage among teens has decreased in recent years.

The data which produced these results comes from three separate tracking studies with a combined sample of over 10 000 children and their parents, data collected between March-November 2022. (OFCOM: Children and Parents: Media Use and Attitude Report).

Strengths of this Survey

  • It makes comparisons over time easy, as the same questions are asked over a number of different years.
  • Other than that, I think there are more problems!

Limitations of this Survey

  • There are no details of how the sample was achieved in the methodology – so I can’t comment on the representativeness.
  • There is so much data here it’s difficult to get an overview. For example there are no longer any easily accessible stats on how much total time children spend with media. The figures are broken down by media type, split into TV, gaming and social media for example.
SIGNPOSTING AND RELATED POSTS.

This material is mainly relevant to the families and households module, usually taught as part of the first year in A-level sociology.

Official Crime Statistics for England and Wales

The two main sources of official statistics on Crime in the UK (or rather England and Wales!) are:

  1. Police Recorded Crime – which is all crimes recorded by the 43 police forces in England and Wales (as well as the British Transport Police)

  2. The Crime Survey for England and Wales which is a face to face victim survey in which people are asked about their experiences of crime in the previous 12 months.

NB – There are other sources of official statistics on crime, which I’ll come back to later, but these are the two main ones.

Below are three very good web sites which you can use to explore crime stats from the above two sources. The point of this post is really just to direct students to good sources which they can use to explore these statistics (strengths and limitations of crime statistics posts will be forthcoming shortly!)

OneCrime in England and Wales

Published by the Office for National Statistics, Crime in England and Wales provides the most comprehensive coverage of national crime trends. I’d actually recommend starting with the methodology section of this document, which states

‘Crime in England and Wales has 2 main data sources: The Crime Survey for England and Wales (CSEW) and police recorded crime. The CSEW is a face-to-face victimisation survey in which people are asked about their experiences of crime in the 12 months prior to the interview. Police recorded crime figures are supplied by the 43 territorial police forces of England and Wales and the British Transport Police.’

Crime trends UK

Twohttps://www.police.uk/

This is a good starting point for exploring crime statistics. You can click on an interactive map which will show you how much crime there is in your area. NB this map shows you only police recorded crime, and there are many, many crimes which are not recorded, for various reasons.

Crime in Kent

Threehttp://www.ukcrimestats.com/

This site describes itself as ‘the leading crime and property data’ website – scroll down for a nice colour coded analysis of crime trends for a number of different crime categories. Reported month by month (2 month data lag). I think the table below is CSEW data

What I particularly like about this web site is that it provides data tables by police force – Here’s a link to data for the Surrey Police (Local link, I teach in Surrey, where my measly teacher salary makes me feel poor because of the sickening and unjustified wealth in the local area.) The data below is Police Recorded Crime data.

Crime in England and Wales

When looking at statistics on crime, make sure you know whether the stats come from Police Recorded Crime or the Crime Survey of England and Wales (a victim survey) – the two figures will be different, and the difference between them will be different depending on the type of crime – for example the stats for vehicle theft are quite similar (because of insurance claims requiring a police report) but domestic violence figures are very different from these two sources because most offences do not get reported to the police, but many more (but not all) get reported to the CSEW researchers.

Related Posts

Official Statistics in Sociology

Crime Statistics Revision Video

Official Statistics on Educational Achievement in the U.K. – Strengths and Limitations

How useful are official statistics for understanding differences in educational achievement by social class, gender and ethnicity?

How do GCSE results vary by social class, gender and ethnicity?

The data below is taken from either the Department for Education’s document – Key Stage 4 performance 2019 (Revised), or Gov.uk ‘ethnicity facts and figures‘. The later shows data from 2017/18 (at time of writing this), but it is much more accessible than the ‘Key Stage 4 document’.

Firstly – GENDER –  Girls outperformed boys in all headline measures in 2019.

For example 46.6% of girls achieved both English and Maths at grade 5 or above, compared to only 40.0% of boys, and girls are much more likley to be entered for the Ebacc than boys (45.9% compared to 34.3%

Secondly – ETHNICITY – Chinese pupils are the highest achieving group. 75.3% of Chinese pupils achieved a ‘strong pass’ (grade 5 or above) in English and Maths, with Indian pupils being the second highest achieving group, at 62%

Black Caribbean pupils have the lowest achievement of any ‘large’ ethnic minority group, with only 26.9% achieving a grade 5 or above in English and Maths

Gypsy/ Roma and Irish Traveller pupils have the lowest levels of achievement with only 9.95 and 5.3% respectively achieving a strong pass in English and Maths.

Thirdly – SOCIAL CLASS – Here, instead of social class we need to use the Department for Education’s ‘disadvantaged pupils’ category, which is the closest we’ve got as a proxy for social class, but isn’t quite the same!

The DFE says that “Pupils are defined as disadvantaged if they are known to have been eligible for free school meals in the past six years , if they are recorded as having been looked after for at least one day or if they are recorded as having been adopted from care”.

In 2019, only 24.7% of disadvantages pupils achieved English and Maths GCSE at grade 5 or above, compared to almost 50% of all other pupils, meaning disadvantaged pupils are only half as likely to get both of these two crucial GCSEs.

Some Strengths of Official Statistics on Educational Achievement by Pupil Characteristic 

ONE – Good Validity (as far as it goes) – These data aren’t collected by the schools themselves – so they’re not a complete work of fiction, they are based on external examinations or coursework which is independently verified, so we should be getting a reasonably true representation of actual achievement levels. HOWEVER, we need to be cautious about this.

TWO – Excellent representativeness – We are getting information on practically every pupil in the country, even the ones who fail!

THREE – They allow for easy comparisons by social class, gender and ethnicity. These data allow us to see some pretty interesting trends – As in the table below – the difference between poor Chinese girls and poor white boys stands out a mile… (so you learn straight away that it’s not just poverty that’s responsible for educational underachievement)

FOUR – These are freely available to anyone with an internet connection

FIVE – They allow the government to track educational achievement and develop social policies to target the groups who are the most likely to underachieve – These data show us (once you look at it all together) for example, that the biggest problem of underachievement is with white, FSM boys.

Some Disadvantages of the Department for Education’s Stats on Educational Achievement

ONE – If you look again at the DFE’s Key Stage four statistics, you’ll probably notice that it’s quite bewildering – there are so many different measurements that it obscures the headline data of ‘who achieved those two crucial GCSEs’.

When it comes to the ‘Attainment 8’ or ‘Progress 8’ scores, it is especially unclear what this means to anyone other than a professional teacher – all you get is a number, which means nothing to non professionals.

TWO – changes to the way results are reported mean it’s difficult to make comparisons over time. If you go back to 2015 then the standard was to achieve 5 good GCSEs in any subject, now the government is just focusing on English and Maths, Ebacc entry and attainment 8.

THREE – These stats don’t actually tell us about the relationship between social class background and educational attainment. Rather than recording data using a sociological conception of social class, the government uses the limited definition of Free School Meal eligibility – which is just an indicator of material deprivation rather than social class in its fuller sense. Marxist sociologists would argue that this is ideological – the government simply isn’t interested in measuring the effects of social class on achievement – and if you don’t measure it the problem kind of disappears.

FOUR – and this is almost certainly the biggest limitation – these stats don’t actually tell us anything about ‘WHY THESE VARIATIONS EXIST’ – Of course they allow us to formulate hypotheses – but (at least if we’re being objective’) we don’t get to see why FSM children are twice as likely to do badly in school… we need to do further research to figure this out.

No doubt there are further strengths and limitations, but this is something for you to be going on with at least…

Related Posts 

Official Statistics in Sociology

Assessing the Usefulness of Using Secondary Qualitative Data to Research Education

Positivism, Sociology and Social Research

Born out of the Enlightenment Positivists believe sociology is scientific and that it can be a force for social progress.

This post provides a brief overview of Positivist Research Methods, which consist of a scientific approach to social research using quantitative data to ensure objectivity and reliability. (In contrast to the Interpretivist approach to research which favours qualitative data.)

Positivism

The historical context of Positivism is that it emerged out of The Enlightenment and The Industrial Revolution….

The Enlightenment  refers to a period of European history spanning from 1650 to 1800. During this time, the authority of the church was challenged as people started to believe that knowledge should be derived from science rather than from God. The Enlightenment witnessed the birth of modern science which lead to massive social changes. The following three core beliefs (there were others too!) emerged out of The Enlightenment:

  • Underlying laws explained how the universe and society work (wasn’t just God’s will)
    Scientific study could reveal these laws.
  • All men could understand these laws (unlike religious belief – God’s will is unknowable)
  • Laws could be applied to society to improve it (the belief in progress and the pursuit of happiness).

The Enlightenment, Industrialisation, ‘Progress’ and the Birth of Sociology

The 18th and 19th centuries saw a number of new scientific discoveries in the fields of physics, chemistry and biology. Most notably for students of Sociology, scientific discoveries lead to new technologies which in turn lead to industrialisation, or the growth of factory based production and the building of such things as railways.

This in turn lead to much social transformation – such as Urbanisation and the growth of what Marxists called the Proletariat. Many commentators from the early 19th century onwards were disturbed by the contradiction between the huge advances, or progress being made in science and industry and the apparent worsening of the lives of the majority. As hundreds of thousands of people flooded into expanding industrial city centres such as Manchester and elsewhere in Britain and Europe, these new urban centres were plagued with new social problems – most notably poverty, unemployment, and social unrest.

It was in this context that August Comte founded Sociology – Comte basically believed that if we can use scientific findings to bring about improvements in production through industrialisation then we can study the social world and figure out how to construct a better society that can combat social problems such as poverty, lack of education and crime.

Auguste Comte (1798-1857): The Founder of Scientific Sociology (aka Positivism)

August Comte - The Founder of Positivist Sociology
August Comte – The Founder of Positivist Sociology

Comte introduced the word “Sociology” in 1839. The term “Sociology” is derived from the Latin word Socius, meaning companion or associate, and the Greek word logos, meaning study or science. Thus, meaning of sociology is the science of society.

Comte concentrated his efforts to determine the nature of human society and the laws and principles underlying its growth and development. He also laboured to establish the methods to be employed in studying social phenomena.

Comte argued that social phenomena can be like physical phenomena copying the methods of natural sciences. He thought that it was time for inquiries into social problems and social phenomena to enter into this last stage. So, he recommended that the study of society be called the science of society, i. e. ‘sociology’.

The General Ideas of Positivism – or The Scientific Method Applied to the Study of Sociology

1. Positivists believe that sociology can and should use the same methods and approaches to study the social world that “natural” sciences such as biology and physics use to investigate the physical world.

2. By adopting “scientific” techniques sociologists should be able, eventually, to uncover the laws that govern societies and social behaviour just as scientists have discovered the laws that govern the physical world.

3. Positivists believe that good, scientific research should reveal objective truths about the causes of social action – science tells us that water boils at 100 degrees and this is true irrespective of what the researcher thinks – good social research should tell us similar things about social action

4. Because positivists want to uncover the general laws that shape human behaviour, they are interested in looking at society as a whole. They are interested in explaining patterns of human behaviour or general social trends. In other words, they are interested in getting to the ‘bigger picture’.

5. To do this, positivists use quantitative methods such as official statistics, structured questionnaires and social surveys. Statistical, numerical data is crucial to Positivist research. Positivists need to collect statistical information in order to make comparisons. And in order to uncover general social trends. It is much more difficult to make comparisons and uncover social trends with qualitative data.

6. These methods also allow the researcher to remain relatively detached from the research process – this way, the values of the researcher should not interfere with the results of the research and knowledge should be objective

Emile Durkheim (1858-1917) – Positivism and Quantitative Sociology

Emile Durkheim - Founding Father of Sociology
Emile Durkheim – Founding Father of Sociology

The modern academic discipline of sociology began with the work of Émile Durkheim (1858–1917). While Durkheim rejected much of the details of Comte’s philosophy “positivism”, he retained and refined its method. Durkheim believed that sociology should be able to predict accurately the effect of particular changes in social organisation such as an increase in unemployment or a change in the education system.

Durkheim believed the primary means of researching society should be the Comparative Method which involves comparing groups and looking for correlations or relationships between 2 or more variables. This method essentially seeks to establish the cause and effect relationships in society by comparing variables.

Durkheim’s Study of Suicide (1897)

Durkheim chose to study suicide because he thought that if he could prove that suicide, a very personal act, could be explained through social factors, then surely any action could be examined in such a way.  Durkheim’s method consisted of comparing the incidence of various social factors with number of cases of suicide.  Durkheim did this work so well, that seventy years later his study was still being cited in textbooks as an excellent example of research methodology

The starting-point for Durkheim was a close analysis of the available official statistics, which showed that rates of suicide varied:
• From one country to another – countries experiencing rapid social change had higher suicide rates.
• Between different social groups – The divorced had higher suicide rates than the married.
• Between different religious groups – Protestants had higher suicide rates than Catholics

Durkheim noted that these rates were relatively stable over time for each group. The rates may have gone up or down, but the rates remained stable relative to each other. Durkheim theorised that if suicide was an entirely individual matter, untouched by the influence of social factors, it would be an astonishing coincidence if these statistical patterns remained so constant over a long period of time.  Entirely individual decisions should lead to a random pattern.

Durkheim used his data to derive his now famous theory – that suicide rates increase when there is too little or too much social regulation or integration. Social Regulation is the extent to which there are clear norms and values in a society, while social integration is the extent to which people belong to society.

Even though this study is now almost 120 years old it remains the case that suicide rates still vary according to the levels of social integration and regulation.

Positivism and Social Facts
Durkheim argued that social trends are ‘social facts’ – they are real phenomena which exist independently of the individuals who make them up. He claimed that by if sociology limited itself to the study of social facts it could be more objective. He argued that these facts constrain individuals and help us to make predictions about the way societies change and evolve.

Some Criticisms of the Positivist Approach to Social Research

  • Treats individuals as if they passive and unthinking – Human beings are less predictable than Positivists suggest
  • Interpretivists argue that people’s subjective realities are complex and this demands in-depth qualitative methods.
  • The statistics Positivists use to find their ‘laws of society’ might themselves be invalid, because of bias in the way they are collected.
  • By remaining detached we actually get a very shallow understanding of human behaviour.

Theory and Methods A Level Sociology Revision Bundle 

If you like this sort of thing, then you might like my Theory and Methods Revision Bundle – specifically designed to get students through the theory and methods sections of  A level sociology papers 1 and 3.

Contents include:

  • 74 pages of revision notes
  • 15 mind maps on various topics within theory and methods
  • Five theory and methods essays
  • ‘How to write methods in context essays’.

Signposting and Related Posts 

This post was primarily written for students studying the second year compulsory Theory and Methods module.

Positivism is often contrasted to Interpretivism – and a summary of the differences can be found here: Positivism and Interpretivism – A Very Brief Overview.

They generally regard sociology as a science and the material above can be used on essay on that subject, and in a similar vein they also believe that sociology can be value free.

Functionalists are generally regarded as positivists, especially Emile Durkheim who was a student of Comte.

Positivists generally prefer quantitative data and so another related post is Official Statistics in Sociology

Positivism and Interpretivism in Social Research

Positivists believe society shapes the individual and use quantitative methods, Interpretivists believe individuals shape society and use qualitative methods.

Positivism and Interpretivism are the two basic approaches to research methods in Sociology. Positivist prefer scientific quantitative methods, while Interpretivists prefer humanistic qualitative methods. This post provides a very brief overview of the two.

positivism-interpretivism

Positivism

  • Positivists see society as shaping the individual and believe that ‘social facts’ shape individual action.
  • Sociology can and should use the same methods and approaches to study the social world that “natural” sciences such as biology and physics use to investigate the physical world.
  • By adopting “scientific” techniques sociologists should be able, eventually, to uncover the laws that govern societies just as scientists have discovered the laws that govern the physical world.
  • Positivists prefer quantitative methods such as social surveys, structured questionnaires and official statistics because these have good reliability and representativeness.
  • The positivist tradition stresses the importance of doing quantitative research such as large scale surveys in order to get an overview of society as a whole and to uncover social trends, such as the relationship between educational achievement and social class. This type of sociology is more interested in trends and patterns rather than individuals.
  • In positivist research, sociologists tend to look for relationships, or ‘correlations’ between two or more variables. This is known as the comparative method.
Positivists step back from society and try to get an overview of social trends in a detached way.

Interpretivism

  • Interpretivists, or anti-positivists argue that individuals are not just puppets who react to external social forces as Positivists believe.
  • According to Interpretivists individuals are intricate and complex and different people experience and understand the same ‘objective reality’ in very different ways and have their own, often very different, reasons for acting in the world, thus scientific methods are not appropriate.
  • Intepretivist research methods derive from ‘social action theory
  • An Interpretivist approach to social research would be much more qualitative, using methods such as unstructured interviews or participant observation
  • Interpretivists argue that in order to understand human action we need to achieve ‘Verstehen‘, or empathetic understanding – we need to see the world through the eyes of the actors doing the acting.
  • Intereptivists actually criticise ‘scientific sociology’ (Positivism) because many of the statistics it relies on are themselves socially constructed.
Interpretivists are interested in micro sociology. They want to understand the intricate complexities of human interactions, feelings and motives.

Positivism and Interpretivism Summary Grid 

Positivism and Interpretivism

Positivism and Interpretivism FAQ

What is the difference between Positivism and Interpretivism?

Positivism is a top down macro approach in sociology which uses quantitative methods to find the general laws of society, Interpretivism is a micro approach which uses qualitative methods to gain an empathetic understanding of why people act from their own understanding/ interpretation.

What is Positivism?

Positivism is a scientific approach social research developed by August Comte in the mid-19th century and developed by Emile Durkheim. It involves using quantitative methods to study social facts to uncover the objective laws of society.

What is an example of Positivism?

Durkehims’ study of suicide is a good example of a Positivist research study. He used official statistics and other quantitative data to analyse why the suicide rate varied from country to country.

What is Interpretivism?

Interpretivism is an approach to social research first developed by Max Weber in early 19th century. He believed we needed to understand the motives for people’s actions to fully understand why they acted, aiming for what he called Verstehen, or empathetic understanding. Intepretivists use qualitative research methods as they are best for getting more in-depth information about the way people interpret their own actions.

What is an example of Interpretivist research?

Any study which aims to understand the world from the point of view of the participants, so most participant observation studies are examples, such as Paul Wills’ Learning to Labour and Venkatesh’ Gang Leader for a Day.

Can Positivist and Interpretivist Methods be used together?

Absolutely, yes. In fact many contemporary research studies combine elements of quantitative and qualitative research to achieve greater validity, reliability and representativeness.

Theory and Methods A Level Sociology Revision Bundle

If you like this sort of thing, then you might like my Theory and Methods Revision Bundle – specifically designed to get students through the theory and methods sections of  A level sociology papers 1 and 3.

Theory Methods Revision Cover

Contents include:

  • 74 pages of revision notes
  • 15 mind maps on various topics within theory and methods
  • Five theory and methods essays
  • ‘How to write methods in context essays’.
Signposting and Related Posts 

Links to more detailed posts on Positivism and Social Action Theory are embedded in the text above. Other posts you might like include:

Positivism in Social Research 

Max Weber’s Social Action Theory

The Presentation of the Self in Everyday Life, A Summary

Links to all of my research methods posts can be found at my main research methods page.