A Longitudinal Error Framework to Support the Design and Use of Integrated Datasets

2021 ◽  
pp. 43-62
Author(s):  
Louisa Blackwell ◽  
Nicola Jane Rogers
Keyword(s):  
Data Quality ◽  
Survey Data ◽  
Administrative Data ◽  
Statistical Design ◽  
Statistical Error ◽  
Population Estimates ◽  
Multiple Sources ◽  
National Statistics ◽  
And Migration ◽  
The Uk

This chapter aims to contribute to the evolving literature on the use of administrative data for statistical purposes. It describes two frameworks for understanding statistical error. The first applies to single administrative sources that may be longitudinal in nature. The second applies to multiple sources that have been longitudinally linked. These frameworks support statistical design and the evaluation of administrative data quality. They may also support the construction of population estimates based on administrative data and possibly survey data in countries that do not have population registers. The frameworks were applied in the transformation of the population and migration statistics system at the UK Office for National Statistics. The chapter draws a distinction between operational and statistical data quality, demonstrating the tensions that can exist between these distinct uses of the same information.

scholarly journals Design and Estimation of Surveys to Measure Data Quality Aspects of Administrative Data

2012 ◽  
Vol 51 (1) ◽  
pp. 5-16
Author(s):  
James J. Brown ◽  
Oksana Honchar
Keyword(s):  
Data Quality ◽  
Administrative Data ◽  
Data Sources ◽  
Measure Data ◽  
England And Wales ◽  
National Statistics ◽  
Survey Error ◽  
Starting Point ◽  
Quality Aspects

  National Statistics Institutes (NSIs) have been increasingly seeking to replace or enhance traditional survey-baseddata sources with administrative data sources; with the aim to improve overall quality in the absence of a definitive register ofthe population. The Beyond 2011 Census Programme in England and Wales is an example of looking to replace a traditionalcensus with administrative data collected for another purpose by a different organisation, when there is no definitive registeras a starting point. There are also similar projects across NSIs within the area of business surveys looking to useadministrative sources to reduce cost and burden. In this paper we start with considering all aspects of a quality frameworkfor administrative data and then focus on the elements relevant to data quality such as accuracy and coherence. We fit theseconcepts into the framework for total survey error highlighting the components an NSI needs to measure to produce estimatesbased on the administrative data. We then explore the use of both dependent and independent quality surveys to adjust theadministrative data for ‘measurement’ and ‘coverage’ aspects to improve the quality of estimates produced from theadministrative data.

scholarly journals Administrative Data Research Northern Ireland (ADR NI)

2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Dermot O'Reilly ◽  
Orla Bateson ◽  
Gemma McGreevy ◽  
Chris Snoddy ◽  
Tracy Power
Keyword(s):  
Northern Ireland ◽  
Administrative Data ◽  
Data Repository ◽  
Local Statistics ◽  
Public Benefit ◽  
National Statistics ◽  
The World ◽  
Strategic Impact ◽  
The Uk ◽  
Access Data

BackgroundThe Administrative Data Research Northern Ireland (ADR NI), is a partnership between academia and the local statistics agency to advance the access to and use of administrative data in Northern Ireland. These goals are currently being advanced by undertaking a series of demonstrator Strategic Impact Projects developed to provide input to departmental areas of research interest and the current draft Programme for Government. ApproachADR NI does not currently operate as a data repository but will negotiate access to and link subsets of administrative data from other departments and agencies as required for specific and approved projects. It is, however, anticipated that this model will broaden with the creation and retention of large linked datasets that could be used to address questions across a range of policy areas. At present accredited researchers can access the anonymised data only from within the safe setting situated in Belfast, although consideration is being given to using the Office for National Statistics Secure Researcher Service to access data more widely within the UK. ADR NI is currently being used to inform policy in a wide array of areas including health, education, environmental and urban planning. DiscussionADR NI continues to develop and change. The growing confidence amongst data owners which has been supported by new and facilitating UK legislation has increased the willingness and ability to share and link administrative data. However, the associated logistical and administrative processes for accessing data will need further streamlining so that the timelines become more efficient and predictable. The evidence for the potential utility of research based on administrative data to influence policy continues to grow. ConclusionOver the last decade we have demonstrated to data owners and the different publics that it is safe and acceptable to link administrative data for public benefit. The evolution and maturation of the ADR NI progresses apace and we continue to learn from developments in our sister organisations throughout the UK and throughout the world. We look forward to greater access to and use of administrative data both within Northern Ireland and across the UK.

Identity Politics and Migration

2008 ◽  
Vol 17 (1) ◽  
pp. 155-158
Author(s):  
Vytis Čiubrinskas
Keyword(s):  
National Identity ◽  
Identity Politics ◽  
Host Country ◽  
Social Anthropology ◽  
The Us ◽  
And Migration ◽  
The Uk ◽  
A Current ◽  
Respective Host

The Centre of Social Anthropology (CSA) at Vytautas Magnus University (VMU) in Kaunas has coordinated projects on this, including a current project on 'Retention of Lithuanian Identity under Conditions of Europeanisation and Globalisation: Patterns of Lithuanian-ness in Response to Identity Politics in Ireland, Norway, Spain, the UK and the US'. This has been designed as a multidisciplinary project. The actual expressions of identity politics of migrant, 'diasporic' or displaced identity of Lithuanian immigrants in their respective host country are being examined alongside with the national identity politics of those countries.

Survey Data Quality in Analyzing Harmonized Indicators of Protest Behavior: A Survey Data Recycling Approach

2021 ◽  
pp. 000276422110216
Author(s):  
Kazimierz M. Slomczynski ◽  
Irina Tomescu-Dubrow ◽  
Ilona Wysmulek
Keyword(s):  
Data Processing ◽  
Data Quality ◽  
Survey Data ◽  
A Priori ◽  
Data Sets ◽  
New Approach ◽  
Survey Quality ◽  
Survey Error ◽  
Ex Post ◽  
The Impact

This article proposes a new approach to analyze protest participation measured in surveys of uneven quality. Because single international survey projects cover only a fraction of the world’s nations in specific periods, researchers increasingly turn to ex-post harmonization of different survey data sets not a priori designed as comparable. However, very few scholars systematically examine the impact of the survey data quality on substantive results. We argue that the variation in source data, especially deviations from standards of survey documentation, data processing, and computer files—proposed by methodologists of Total Survey Error, Survey Quality Monitoring, and Fitness for Intended Use—is important for analyzing protest behavior. In particular, we apply the Survey Data Recycling framework to investigate the extent to which indicators of attending demonstrations and signing petitions in 1,184 national survey projects are associated with measures of data quality, controlling for variability in the questionnaire items. We demonstrate that the null hypothesis of no impact of measures of survey quality on indicators of protest participation must be rejected. Measures of survey documentation, data processing, and computer records, taken together, explain over 5% of the intersurvey variance in the proportions of the populations attending demonstrations or signing petitions.

scholarly journals How Does Administrative Data Compare with Census Data for the Measurement of Internal Migration? The Case of Northern Ireland, 2001–2011

2021 ◽  
Author(s):  
Brian Foley ◽  
Tony Champion ◽  
Ian Shuttleworth
Keyword(s):  
Administrative Data ◽  
Internal Migration ◽  
Census Data ◽  
Local Population ◽  
Population Data ◽  
Population Estimates ◽  
Demographic Groups ◽  
Small Areas ◽  
Intercensal Period ◽  
Statistical Agencies

AbstractThe paper compares and contrasts internal migration measured by healthcard-based administrative data with census figures. This is useful because the collection of population data, its processing, and its dissemination by statistical agencies is becoming more reliant on administrative data. Statistical agencies already use healthcard data to make migration estimates and are increasingly confident about local population estimates from administrative sources. This analysis goes further than this work as it assesses how far healthcard data can produce reliable data products of the kind to which academics are accustomed. It does this by examining migration events versus transitions over a full intercensal period; population flows into and out of small areas; and the extent to which it produces microdata on migration equivalent to that in the census. It is shown that for most demographic groups and places healthcard data is an adequate substitute for census-based migration counts, the exceptions being for student households and younger people. However, census-like information is still needed to provide covariates for analysis and this will still be required whatever the future of the traditional census.

scholarly journals Losing the Discursive Battle but Winning the Ideological War: Who Holds Thatcherite Values Now?

2021 ◽  
pp. 003232172098670
Author(s):  
Stephen Farrall ◽  
Emily Gray ◽  
Phil Mike Jones ◽  
Colin Hay
Keyword(s):  
Survey Data ◽  
Prime Minister ◽  
Public Attitudes ◽  
New Right ◽  
The Political ◽  
Political Leaders ◽  
Margaret Thatcher ◽  
The Uk

In what ways, if at all, do past ideologies shape the values of subsequent generations of citizens? Are public attitudes in one period shaped by the discourses and constructions of an earlier generation of political leaders? Using Thatcherism – one variant of the political New Right of the 1980s – as the object of our enquiries, this article explores the extent to which an attitudinal legacy is detectable among the citizens of the UK some 40 years after Margaret Thatcher first became Prime Minister. Our article, drawing on survey data collected in early 2019 (n = 5781), finds that younger generations express and seemingly embrace key tenets of her and her governments’ philosophies. Yet at the same time, they are keen to describe her government’s policies as having ‘gone too far’. Our contribution throws further light on the complex and often covert character of attitudinal legacies. One reading of the data suggests that younger generations do not attribute the broadly Thatcherite values that they hold to Thatcher or Thatcherism since they were socialised politically after such values had become normalised.

scholarly journals Understanding Leisure Centre-Based Physical Activity after Physical Activity Referral: Evidence from Scheme Participants and Completers in Northumberland UK

2021 ◽  
Vol 18 (6) ◽  
pp. 2957
Author(s):  
Jordan Bell ◽  
Lis Neubeck ◽  
Kai Jin ◽  
Paul Kelly ◽  
Coral L. Hanson
Keyword(s):  
Physical Activity ◽  
Administrative Data ◽  
World Health Organisation ◽  
Ordinal Regression ◽  
World Health ◽  
Activity Levels ◽  
The World ◽  
The Uk

Physical activity referral schemes (PARS) are a popular physical activity (PA) intervention in the UK. Little is known about the type, intensity and duration of PA undertaken during and post PARS. We calculated weekly leisure centre-based moderate/vigorous PA for PARS participants (n = 448) and PARS completers (n = 746) in Northumberland, UK, between March 2019–February 2020 using administrative data. We categorised activity levels (<30 min/week, 30–149 min/week and ≥150 min/week) and used ordinal regression to examine predictors for activity category achieved. PARS participants took part in a median of 57.0 min (IQR 26.0–90.0) and PARS completers a median of 68.0 min (IQR 42.0–100.0) moderate/vigorous leisure centre-based PA per week. Being a PARS completer (OR: 2.14, 95% CI: 1.61–2.82) was a positive predictor of achieving a higher level of physical activity category compared to PARS participants. Female PARS participants were less likely (OR: 0.65, 95% CI: 0.43–0.97) to achieve ≥30 min of moderate/vigorous LCPA per week compared to male PARS participants. PARS participants achieved 38.0% and PARS completers 45.3% of the World Health Organisation recommended ≥150 min of moderate/vigorous weekly PA through leisure centre use. Strategies integrated within PARS to promote PA outside of leisure centre-based activity may help participants achieve PA guidelines.

scholarly journals Does teaching qualification matter in higher education in the UK? An analysis of National Student Survey data

MethodsX ◽  
2019 ◽  
Vol 6 ◽  
pp. 788-799 ◽  
Author(s):  
Mohammad Nurunnabi ◽  
Abdelhakim Abdelhadi ◽  
Rehab Aburas ◽  
Samaher Fallatah
Keyword(s):  
Higher Education ◽  
Survey Data ◽  
Student Survey ◽  
The Uk

scholarly journals Effect of data quality on estimates of farm infectiousness trends in the UK 2001 foot-and-mouth disease epidemic

2006 ◽  
Vol 4 (13) ◽  
pp. 235-241 ◽  
Author(s):  
Nicholas J Savill ◽  
Darren J Shaw ◽  
Rob Deardon ◽  
Michael J Tildesley ◽  
Matthew J Keeling ◽  
...  
Keyword(s):  
Mathematical Models ◽  
Data Quality ◽  
Foot And Mouth Disease ◽  
Mouth Disease ◽  
Inaccurate Data ◽  
Foot And Mouth ◽  
The Uk ◽  
Parameter Values

Most of the mathematical models that were developed to study the UK 2001 foot-and-mouth disease epidemic assumed that the infectiousness of infected premises was constant over their infectious periods. However, there is some controversy over whether this assumption is appropriate. Uncertainty about which farm infected which in 2001 means that the only method to determine if there were trends in farm infectiousness is the fitting of mechanistic mathematical models to the epidemic data. The parameter values that are estimated using this technique, however, may be influenced by missing and inaccurate data. In particular to the UK 2001 epidemic, this includes unreported infectives, inaccurate farm infection dates and unknown farm latent periods. Here, we show that such data degradation prevents successful determination of trends in farm infectiousness.

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