Neighbourhood & Citizenship The clustered nature of the MCS sample makes it possible to separate individual /family effects on, for example, child development,

Slides:



Advertisements
Similar presentations
The Millennium Cohort Study Shirley Dex Institute of Education, University of London Centre for Longitudinal Studies.
Advertisements

An Introduction to the UK Data Archive and the Economic and Social Data Service November 2007 Jack Kneeshaw, UKDA.
Social Statistics Estimation and complex survey design Ian Plewis, CCSR, University of Manchester.
Family Resources Survey Data Collection Methods Jo Maher (National Centre for Social Research) Tom Howe (Office for National Statistics)
Social Justice Toolkit Callum Miller, Labour Market Research and Policy Assistant, Inclusion E: T: 020.
Scottish Index of Multiple Deprivation (SIMD) 2009 Dumfries & Galloway Andrew White Office of the Chief Statistician 05 th February.
Scottish Index of Multiple Deprivation Improving SIMD for 2015 Alastair McAlpine Head of Local Outcomes Team Office of Chief Statistician and Performance.
The Population of the UK – © 2012 Sasi Research Group, University of Sheffield BIRTH …AND THE SUBURBAN PIED PIPER Chapter 2 THE POPULATION OF THE UK A.
Dependent Interviewing: Seminar, University of Essex September 2004 Peter Shepherd Centre for Longitudinal Studies, Institute of.
University of Oxford National data – local knowledge Using administrative data David McLennan & Kate Wilkinson Social Disadvantage Research Centre Department.
Does the Baby Friendly Initiative work in the UK? Emilia Del Bono November 24 th 2011 UNICEF Baby Friendly Initiative Annual Conference - Liverpool.
Tuberculosis in the UK 2014 report
Sources of demographic data Population census Sample Surveys Population registers Other sources The balancing equation.
© Cancer Research UK 2007 Registered charity number Lung cancer and smoking – UK November 2009 The statistics in this presentation are based on.
Millennium Cohort Study (MCS) Understanding Wales: Opportunities for Secondary Data Analysis Chris Taylor Wales Institute of Social & Economic Research,
Scottish Index of Multiple Deprivation (SIMD) 2009 East Ayrshire Andrew White Office of the Chief Statistician 16 th February.
High School Exit Interview Jeff Williams Dave Malott.
1. Fathers in the UK Millennium Cohort Study EUCCONET Workshop Vienna 24 February 2010 Lisa Calderwood Sub-brand to go here CLS is an ESRC Resource Centre.
1. Family change in the first five years of life: new evidence from the UK Millennium Cohort Study Lisa Calderwood Sub-brand to go here CLS is an ESRC.
Statistical Sources Bratislava, 8-10 May 2003 Angela Me Statistical Division UNECE.
Scotland’s Labour Market – Latest Developments Denise Patrick Lifelong Learning Analytical Services Division 25 th May 2010.
Following lives from birth and through the adult years The Role of Record Linkage in the UK Millennium Cohort Study Eucconet Workshop.
Scottish Index of Multiple Deprivation (SIMD) ScotPHO training course – day 4 Andrew White Office of the Chief Statistician, Scottish.
How many Eastern Europeans have moved to Northern Ireland? BSPS Conference September 2007 Dr David Marshall NISRA.
ISES UPDATES August 28, Topics for Session Review of the Fall 2007 CD/YE Collection Changes in WSLS ISES Data CD/YE Element Changes October 1 Supplement.
Spatial Patterns of Deprivation David McPhee Communities ASD.
Big Listening 2010 A summary of surveys 13, 14 and 15.
Access to the LSYPE and associated resources at the Economic and Social Data Service Jack Kneeshaw LSYPE workshop 1 October 2009 ESDS Longitudinal.
Scottish Index of Multiple Deprivation (SIMD) 2009 ScotStat Public Body Analyst Network Andrew White and Matt Perkins Office of.
Following lives from birth and through the adult years The Circumstances of Early Motherhood Denise D. Hawkes 19 th December 2007 The.
Recent developments in the UK Using the indices and the underpinning data Tom Oxford Consultants for Social Inclusion (OCSI) David McLennan.
Growing Up in Scotland: Using the findings in a local context ScotStat Survey Conference 16 th March 2010 Lesley Kelly, GUS Dissemination Officer CRFR,
1 Sources of gender statistics Angela Me UNECE Statistics Division.
United Nations Economic Commission for Europe Statistical Division Sources of gender statistics Angela Me UNECE Statistics Division.
Understanding Wales: Opportunities for Secondary Data Analysis Annual Population Survey/Labour Force Survey Melanie Jones School of Business.
The UK Millennium Cohort Study The Long View: Longitudinal Studies in Scotland February Lisa Calderwood Centre for Longitudinal Studies Institute.
Scottish Index of Multiple Deprivation (SIMD) 2009 COSLA Tackling Poverty Officers Group Matt Perkins Office of the Chief Statistician.
The Scottish Index of Multiple Deprivation (SIMD) 31st August 2009 Niamh Laffan Office of the Chief Statistician.
Scottish Index of Multiple Deprivation (SIMD) 2009 Niamh Laffan Office of the Chief Statistician Scottish Government 29 th October.
Millennium Cohort Study Consultative Conference on Content of Age 3 Sweep CLS, Institute of Education, London University funded by ESRC and ONS-led Govt.
Where to find Scottish Government statistics.
1 Data Linkage for Educational Research Royal Statistical Society March 19th 2007 Andrew Jenkins and Rosalind Levačić Institute of Education, University.
ISES UPDATES April 16, Topics for Session Review of the Fall 2007 CD/YE Collection Changes in WSLS ISES Data CD/YE Element Changes October 1 Supplement.
Missing income data in the millennium cohort study: Evidence from the first two sweeps Authors: Denise Hawkes and Ian Plewis Discussant: Nicholas Biddle.
Working for Families - Inverclyde Policy and Practice.
Older people’s participation in disability benefits: targeting, timing and financial wellbeing Francesca Zantomio Ca’ Foscari University of Venice
Early Motherhood in the UK: Micro and Macro Determinants Denise Hawkes and Heather Joshi Centre for Longitudinal Research Institute of Education University.
General Register Office for S C O T L A N D information about Scotland's people Comparison between NHSCR and Community health index sources of migration.
Finding and analysing variables in the CLS cohorts Brian Dodgeon Centre for Longitudinal Studies Institute of Education University College London.
How Deprived is your Neighbourhood? (Or: Is Glasgow worse than Edinburgh?) Royal Statistical Society Edinburgh Local Group Matt.
Trends in International Migration in Suffolk These slides were prepared for UCS Workshop 8 th November 2013 by Belinda Godbold & Mary Moore from Business.
Presentation Outline SIMD Background SIMD 2009 Methodology SIMD 2009 Results Where to find more information Questions.
Leon Feinstein, Ruth Lupton, Cathie Hammond, Tamjid Mujtaba, Emma Salter and Annik Sorhaindo,Institute of Education, University.
Communities ASD Seminar 2 nd June 2009 Sinéad Power - GUS Project Manager Scottish Government.
Online Resources and Outputs Karren Friel, Niamh Laffan, Sarah Munro, John Fraser Scottish Government.
SIMONE CROFT USING PUBLICLY AVAILABLE COHORT STUDIES.
Scottish Index of Multiple Deprivation (SIMD) 2009 The Prince’s Trust Scotland Andrew White Office of the Chief Statistician 6.
Scottish Index of Multiple Deprivation (SIMD) Matt Perkins Office of the Chief Statistician 11 th August 2009.
The 2011 Census: Estimating the Population Alexa Courtney.
Scottish Index of Multiple Deprivation (SIMD) 2009 Matt Perkins Office of the Chief Statistician 30 th October 2009.
Management Information and Data Jon Carling Head of NERIP Michael Johnson Research Fellow IPPR North.
JOINT UN-ECE/EUROSTAT WORK SESSION ON MIGRATION STATISTICS GENEVA, OCTOBETR 2012 COLLECTING MIGRATION DATA IN THE UK CENSUS IAN WHITE, Office for.
DEMOGRAPHIC INFORMATION Evaluation Panel Workshops 17 th June 2014.
Jo Watson sepho South East Public Health Observatory Solutions for Public Health Day 2: Session 2 Populations and geography.
Scottish Index of Multiple Deprivation (SIMD) 2009 Lothian NHS Board Andrew White Office of the Chief Statistician 01 st February.
Worklessness Data on Neighbourhood Statistics
National Bureau of Statistics of China
Tuberculosis in Wales Annual Report 2018 Data to the end of 2017
Andrew Jenkins and Rosalind Levačić
Tuberculosis in Wales Annual Report 2017 Data to the end of 2016
Presentation transcript:

Neighbourhood & Citizenship The clustered nature of the MCS sample makes it possible to separate individual /family effects on, for example, child development, from the contextual effects of neighbourhood. NEIGHBOURHOOD & CITIZENSHIP – IAN PLEWIS (Ioe)

Current position AData from interview:  Views about area (general question & 8.Items)  Single question about neighbours  A few questions about voting & interest.in politics These data can be aggregated to get an estimate of the ward view/involvement

Current position cont. BHealth Visitor survey – focus on services for young children CAdministrative statistics from ONS Neighbourhood Statistics Unit

Addition of Ecological data to the Millennium Cohort Study Neighbourhood Statistics Crime Economic Deprivation Notifiable offences recorded by the police England/WalesLocal Authority University admissions by place of residence, 1997 and 1998 EnglandLocal authority wards Primary school pupils at Key Stage 2, Summer 1998 EnglandWard

Education, skills and training University admissions by place of residence, 1997 and 1998 EnglandLocal Authority Ward Primary school pupils at Key Stage 2, Summer 1998 EnglandWard Health Attendance Allowance claimantsEngland, Wales, Scotland Local Authority Ward Disability Living AllowanceEngland, Wales, Scotland Local Authority Ward Drug mis-users presenting for treatment, 1 October March 2000 EnglandHealth Hospital Episode Statistics, 1999/00 EnglandLocal Authority Ward

Work Jobseeker's Allowance claimantsEngland, Wales, Scotland Local Authority Ward Incapacity Benefit claimantsEngland, Wales, Scotland Local Authority Ward Severe Disablement Allowance claimants England, Wales, Scotland Local Authority Ward VAT registered enterprises by industry group, March 2000 England, Wales, Scotland, NI Ward VAT registered enterprises by employment sizeband, March 2000 England, Wales, Scotland, NI Ward Employee jobs, September 1998England, Wales, Scotland Local Authority Ward Claimant count - Oxford University ward level estimates EnglandWard Claimant count and claimant count rate (revised 29/09/01) England, Wales, Scotland, NI Local Authority

Indices of Deprivation Indices of Deprivation for wards in England, 2000 EnglandWard Indices of Deprivation for districts in England, 2000 EnglandLocal Authority Indices of Deprivation for electoral divisions in Wales, 2000 WalesWard Population and Vital Statistics Oxford University population estimates for wards in England, mid 1998 EnglandWard Vital statistics, 1998 England, Wales Local Authority Ward Resident population estimates for local authorities in England, mid 1998 EnglandLocal Authority Resident population estimates for local authorities in England, mid 1998 EnglandLocal Authority Others

Topics that might be considered for Sweep 2: 1)Interview data about:  Involvement in organised activities  Local friends  Views about area for bringing up children 2)Updating administrative data 3)Using interviewers to collect data about wards (physical characteristics, facilities etc.) for example drawing on Jacqueline Barnes’ work, currently used in Sure Start Evaluation 4)Sampling issues

The MCS population is a population of children defined as: all children born between 1 September 2000 and 31 August 2001 (for England and Wales), and between 1 December 2000 and 30 November 2001 (for Scotland and Northern Ireland), alive and living in the UK at age nine months; and, after nine months: for as long as they remain living in the UK. SAMPLING ISSUES – IAN PLEWIS (IoE)

It follows from the way the MCS population is defined that the sample at Sweep 2 should include: 1) All children born between the designated dates still resident at the address in the sampled wards they had at age nine months; 2) All children born between the designated dates still resident somewhere in the UK but no longer at their nine-month address - we estimate that perhaps 20% of the sample will fall into this category.

We know that there was more undetected (by DWP) movement out of the sample wards between birth and age nine months than we had expected and hence an unknown amount of migration into the sample wards. The Health Visitors working in the sampled wards will have detected some of this in-migration but not all of it. Therefore, consideration should be given to obtaining, from DWP, lists of notified in-migrants to the sampled wards between the ages of nine and, say, 15 months.

These will include children who should have been in the sample at Sweep one, but whose families did not notify the Child Benefit Centre of their change of address in time to be included in the DWP file, and who were not picked up by the Health Visitors. They should be included in Sweep two (and all subsequent Sweeps), and treated as non- respondents at Sweep one.

ENGLAND: Advantaged ENGLAND: Disadvantaged ENGLAND: Ethnic WALES: Advantaged WALES: Disadvantaged SCOTLAND: Advantaged SCOTLAND: Disadvantaged N.IRELAND: Advantaged N.IRELAND: Disadvantaged TOTAL WARDS

Sample Dispersal The dispersal of the sample is likely to have implications for fieldwork costs in that interviewers will be needed for those who have moved, in principle anywhere in the UK. It is possible that these fieldwork costs could be reduced if the fieldwork period used for Sweep 2 were compressed into a shorter period. This would mean that children would be seen at different ages around 36 months - itself a possible scientific advantage - and that the number of visits interviewers had to make to each sampled ward could be reduced.

For example, fieldwork for Sweep 2 could start 30 months after the start of fieldwork for Sweep 1 and waves 1 and 7, 2 and 8 etc. could be combined to give a fieldwork period of 6 months, and a range of ages from 33 to 39 months. This issue needs to be scrutinised both in terms of its scientific advantages and disadvantages as well as for its cost implications.