Roxanne Connelly

The Role of Administrative Data in the Big Data Revolution in Social Science Research

The term big data is currently a buzzword in social science, however its precise meaning is ambiguous. In this paper we focus on administrative data which is a distinctive form of big data. Exciting new opportunities for social science research will be afforded by new administrative data resources, but these are currently under appreciated by the research community. The central aim of this paper is to discuss the challenges associated with administrative data. We emphasise that it is critical for researchers to carefully consider how administrative data has been produced. We conclude that administrative datasets have the potential to contribute to the development of high-quality and impactful social science research, and should not be overlooked in the emerging field of big data.

Cohort Profile: UK Millennium Cohort Study (MCS)

The UK Millennium Cohort Study (MCS) is an observational, multidisciplinary cohort study that was set up to follow the lives of children born at the turn of the new century. The MCS is nationally representative and 18 552 families (18 827 children) were recruited to the cohort in the first sweep. There have currently been five main sweeps of data collection, at ages 9 months and 3, 5, 7 and 11 years. A further sweep of data collection is planned for age 14 years. A range of health-related data have been collected as well as measures concerning child development, cognitive ability and educational attainment. The data also include a wealth of information describing the social, economic and demographic characteristics of the cohort members and their families. In addition, the MCS data have been linked to administrative data resources including health records. The MCS provides a unique and valuable resource for the analysis of health outcomes and health inequalities. The MCS data are freely available to bona fide researchers under standard access conditions via the UK Data Service (http://ukdataservice.ac.uk) and the MCS website provides detailed information on the study (http://www.cls.ioe.ac.uk/mcs).

A Review of occupation-based social classifications for social survey research:

This article is a review of issues associated with measuring occupations and using occupation-based socio-economic classifications in social science research. The review is orientated towards researchers who undertake secondary analysis of large-scale micro-level social science datasets. This article begins with an outline of how to handle raw occupational information. This is followed by an introduction to the two main approaches to measuring occupations and a third lesser known but intellectually innovative approach. The three approaches are social class schemes, social stratification scales and the microclass approach. International comparisons are briefly described and a discussion of intersectionality with other key variables such as age and gender is provided. We are careful to emphasise that this article does not advocate the uncritical adoption of any one particular occupation-based socio-economic measure over and above other alternatives. Rather, we are advocating that researchers should choose from the portfolio of existing socio-economic measures in an informed and empirically defensible way, and we strongly advocate undertaking sensitivity analyses. We conclude that researchers should always use existing socio-economic measures that have agreed on and well-documented standards. We strongly advise researchers not to develop their own measures without strong justification nor to use existing measures in an un-prescribed or ad hoc manner.

Young People and School GCSE Attainment: Exploring the 'Middle'

The term ‘missing middle’ has been used to describe the position of ordinary young people in youth research. There have been recent appeals for youth researchers to concentrate upon the lives of ordinary young people and to better document their educational experiences through the secondary analysis of large-scale social surveys. This paper presents a series of exploratory analyses that attempt to identify the school-level educational attainment and social characteristics of ordinary young people using contemporary survey data. We undertake a series of exploratory analyses of data from the British Household Panel Survey. These data cover the period directly after General Certificate of Secondary Education (GCSE) qualifications were introduced. The dataset provides measures of school attainment and suitable individual, household and parental measures. We detect gender differences in school GCSE performance, with females outperforming males. There are some effects due to differences in parental education levels and household circumstances. There is a large group of young people who fail to gain any GCSEs, their attainment falls far short of benchmark standards, and has negative consequences. In contrast gaining a moderate level of GCSEs at school has a positive effect in relation to employment in early adulthood. Our analyses fail to convince us that there are distinctive, or discrete, categories of GCSE attainment. The evidence explored here persuades us that there are no crisp boundaries that mark out a ‘middle’ category of moderate GCSE attainment. We conclude that there are clear benefits to understanding school attainment as being located upon a continuum, and that measures which reflect the heterogeneity of GCSE performance as fully as possible should be preferred.

Administrative social science data: The challenge of reproducible research

Powerful new social science data resources are emerging. One particularly important source is administrative data, which were originally collected for organisational purposes but often contain information that is suitable for social science research. In this paper we outline the concept of reproducible research in relation to micro-level administrative social science data. Our central claim is that a planned and organised workflow is essential for high quality research using micro-level administrative social science data. We argue that it is essential for researchers to share research code, because code sharing enables the elements of reproducible research. First, it enables results to be duplicated and therefore allows the accuracy and validity of analyses to be evaluated. Second, it facilitates further tests of the robustness of the original piece of research. Drawing on insights from computer science and other disciplines that have been engaged in e-Research we discuss and advocate the use of Git repositories to provide a useable and effective solution to research code sharing and rendering social science research using micro-level administrative data reproducible.

Statistical modelling of key variables in social survey data analysis

The application of statistical modelling techniques has become a cornerstone of analyses of large-scale social survey data. Bringing this special section on key variables to a close, this final article discusses several important issues relating to the inclusion of key variables in statistical modelling analyses. We outline two, often neglected, issues that are relevant to a great many applications of statistical models based upon social survey data. The first is known as the reference category problem and is related to the interpretation of categorical explanatory variables. The second is the interpretation and comparison of the effects from models for non-linear outcomes. We then briefly discuss other common complexities in using statistical models for social science research; these include the non-linear transformation of variables, and considerations of intersectionality and interaction effects. We conclude by emphasising the importance of two, often overlooked, elements of the social survey data analysis process, sensitivity analysis and documentation for replication. We argue that more attention should routinely be devoted to these issues.

Young people and school General Certificate of Secondary Education attainment: looking for the ‘missing middle’

In Britain, educational qualifications gained at school continue to play an important and central role in young people’s educational and employment pathways. Recently there has been growing interest in documenting the lives of ‘ordinary’ young people. In this paper we analyse the Youth Cohort Study of England and Wales in order to better document the experiences of those with ‘middle’ levels of school General Certificate of Secondary Education (GCSE) attainment. The overall pattern of school GCSE attainment is one of increasing levels of performance. GCSE attainment is still highly stratified. Girls performed better than boys, and there were some marked differences in attainment for pupils from the main minority ethnic groups. Most notably, parental socio-economic positions are the most important factor. The analyses fail to persuade us that there are clear boundaries that demark a ‘middle’ category of school GCSE attainment. We conclude that sociologists should study ‘ordinary’ young people; however, school GCSE attainment is best understood as a continuum, and measures such as the number of GCSEs or point scores are preferable.

A review of educational attainment measures for social survey research

This article is a review of issues associated with measuring education and using educational measures in social science research. The review is orientated towards researchers who undertake secondary analyses of large-scale micro-level social science datasets. The article begins with an outline of important context, which impinges upon the measurement of education. The United Kingdom is the focus of this review, but similar issues apply to other nation states. We provide a critical introduction to the main approaches to measuring education in social survey research, which include measuring years of education, using categorical qualification based measures and scaling approaches. We advocate the use of established education measures to better facilitate comparability and replication. We conclude by making the recommendation that researchers place careful thought into which educational measure they select, and that researchers should routinely engage in appropriate sensitivity analyses.

Parental socioeconomic influences on filial educational attainment : an investigation of Scottish young people and patterns of school level educational performance using administrative data

In Britain there have been manifest changes in the management and organisation of education, but despite these developments there are still persistent inequalities in pupils’ educational outcomes. These inequalities are consequential because school qualifications are known to influence both pupils’ immediate continuation in education, and their later educational and occupational outcomes. The Scottish school system is similar to the system in England and Wales but there are a distinctive set of qualifications. From the mid-1980s until 2013 the final years of compulsory schooling led up to Standard Grade qualifications. Standard Grades were similar to the General Certificates of Secondary Education (GCSEs) and are worthy of detailed sociological examination because they were the first major branching point in the Scottish education system. A specialist dataset using administrative records was constructed for this project. The dataset comprises young people who undertook Standard Grades in Scottish schools between 2007 and 2011, who were members of the Scottish Longitudinal Study (SLS). We analyse pupils’ subject-area outcomes using a latent variable modelling approach, and explore characteristics associated with the membership of latent educational groups. The analyses uncovered four main latent educational groups. One group had very positive outcomes and pupils were generally more socially advantaged; another group had very poor outcomes and were generally more socially disadvantaged. There were two ‘middle’ groups, which both had similar moderate overall Standard Grade outcomes, but notably different subject-area-level outcomes. We conclude that during school hours these pupils are unlikely to be found drinking Iron Brew WKD in their local parks or at home playing on their Xbox; however, they are also unlikely to be filling out university application forms in the next couple of years.

Parental socioeconomic influences on filial educational outcomes in Scotland: patterns of school-level educational performance using administrative data

In Britain there have been manifest changes in the management and organisation of education, but despite these developments there are still persistent inequalities in pupils’ educational outcomes. These inequalities are consequential because school qualifications are known to influence both pupils’ immediate continuation in education, and their later educational and occupational outcomes. The Scottish school system is similar to the system in England and Wales but there are a distinctive set of qualifications. From the mid-1980s until 2013 the final years of compulsory schooling led up to Standard Grade qualifications. Standard Grades were similar to the General Certificates of Secondary Education (GCSEs) and are worthy of detailed sociological examination because they were the first major branching point in the Scottish education system. A specialist dataset using administrative records was constructed for this project. The dataset comprises young people who undertook Standard Grades in Scottish schools between 2007 and 2011, who were members of the Scottish Longitudinal Study (SLS). We analyse pupils’ subject-area outcomes using a latent variable modelling approach, and explore characteristics associated with the membership of latent educational groups. The analyses uncovered four main latent educational groups. One group had very positive outcomes and pupils were generally more socially advantaged; another group had very poor outcomes and were generally more socially disadvantaged. There were two ‘middle’ groups, which both had similar moderate overall Standard Grade outcomes, but notably different subject-area-level outcomes. We conclude that during school hours these pupils are unlikely to be found drinking Iron Brew WKD in their local parks or at home playing on their Xbox; however, they are also unlikely to be filling out university application forms in the next couple of years.