Catalogue

UK Data Service data catalogue record for:

Understanding Society: Innovation Panel, Waves 1-9, 2008-2016: Special Licence Access

Title details

SN: 7083
Title: Understanding Society: Innovation Panel, Waves 1-9, 2008-2016: Special Licence Access
Alternative title: United Kingdom Household Longitudinal Study; UKHLS
Persistent identifier: 10.5255/UKDA-SN-7083-8
Series: Understanding Society [Understanding Society, 2008- : Special Licence Access]
Depositor: University of Essex. Institute for Social and Economic Research
Principal investigator(s): University of Essex. Institute for Social and Economic Research
NatCen Social Research
Kantar Public
Data collector(s): TNS BMRB
Sponsor(s): Economic and Social Research Council
Department for Work and Pensions
Department for Education
Department for Transport
Department for Culture, Media and Sport
Department for Communities and Local Government
Department of Health
Welsh Assembly Government
Northern Ireland Executive
Department for Environment, Food and Rural Affairs
Food Standards Agency
Scottish Government
Grant number: RES-586-47-0001-01

Citation

The citation for this study is:

University of Essex. Institute for Social and Economic Research, NatCen Social Research, Kantar Public. (2017). Understanding Society: Innovation Panel, Waves 1-9, 2008-2016: Special Licence Access. [data collection]. 7th Edition. UK Data Service. SN: 7083, http://doi.org/10.5255/UKDA-SN-7083-8

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Subject Categories

Consumer behaviour - Economics
General - Employment and labour
Income, property and investment - Economics
Social attitudes and behaviour - Society and culture
Social attitudes and behaviour - Society and culture
Social indicators and quality of life - Society and culture

Abstract

Abstract copyright UK Data Service and data collection copyright owner.

Understanding Society (the UK Household Longitudinal Study) is conducted by the Institute for Social and Economic Research (ISER), at the University of Essex. The survey research organisation that collects the data is Kantar Public (formerly TNS BMRB) in Great Britain and Millward Brown Ulster in Northern Ireland. As a multi-topic household survey, the purpose of the study is to understand social and economic change at the household and individual levels. It is anticipated that over time Understanding Society will permit examination of short- and long-term effects of social and economic change, including policy interventions, on the general wellbeing of the UK population. The study has a strong emphasis on the domains of family and social ties, work, financial resources, and health.

Understanding Society is an annual survey of each adult member of a nationally representative sample. The same individuals are re-interviewed in each wave, approximately 12 months apart. When individuals move they are followed within the UK and anyone joining their households is also interviewed, as long as they are living with them. The fieldwork period is 24 months. The first wave of data was collected between January 2009 and January 2011, the second wave between January 2010 and January 2012, and so forth. Data collection primarily uses computer assisted personal interviewing (CAPI). One person completes the household questionnaire. Each person aged 16 or older participates in the individual adult interview and self-completed questionnaire. Young people aged 10-15 years are asked to respond to a paper self-completion questionnaire. The study has five sample components: the general population; a boost sample of ethnic minority group members; an immigrant and ethnic minority boost sample; participants in the former British Household Panel Survey (BHPS) and the Innovation Panel (which is a separate standalone survey (see SN 6849) and so not included in the main release.

Further information about the survey may be found on the Understanding Society web site.

Innovation Panel
The Innovation Panel is designed for experimental and methodological research relevant to longitudinal surveys. As far as practical its design, content, and data collection procedures are similar to the main stage Understanding Society survey. It is a multi-topic household survey representative of the population of Great Britain. Data collection takes place annually using computer assisted personal interviewing (CAPI) and computer assisted web interviewing (CAWI). One person completes the household questionnaire. Each person aged 16 or older answers the individual adult interview, including and self-completion questionnaire. Young people aged 10 to 15 years are asked to respond to a paper self-completion questionnaire. The Innovation Panel has multiple experimental studies in which households are randomly assigned to a particular instrument or survey procedure. Experiments can relate to survey procedures, questionnaire design, or substantive social science questions. The experiments are described in the User Manual and in Understanding Society Working Papers.

There are two primary versions of the Innovation Panel data. One is available under the standard End User Licence (EUL) agreement (SN 6849), and the other is this Special Licence (SL) version (SN 7083). The SL version contains month and year of birth variables in addition to age, county variables, more detailed country and occupation coding for a number of variables; and various income variables have not been top-coded (see the documentation for more detail on the differences). In addition, there are a number of SL geographical datasets that are designed to be used in conjunction with the primary datasets. Prospective users of this SL version will need to complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables in order to get permission to use that version.

For the seventh edition (August 2017), data and documentation for Wave 9 were added to the study and some data files for previous waves were updated. See documentation for full details.

Main Topics:
The survey instrument is constructed using modules. For a fuller listing of modules and questionnaire content see the ISER Innovation Panel Dataset Documentation webpage. Experiments are described in the User Manual for the Innovation Panel.

The household questionnaire includes a composition listing of all household members and collects information about gender, date of birth, marital and employment status, and relationship to the household respondent. The household questionnaire also has questions about housing, mortgage or rent payments, material deprivation, and consumer durables and cars. The individual interview is asked of every person in the household aged 16 or over, and covers: demographics, baseline information, family background, ethnicity and national identity; religion; partnership and fertility histories; health, disability and caring; current employment and earnings; parenting and childcare arrangements; contact with non-resident children; benefit payments; and household finances. Some modules are carried in selective waves - see the User Manual. A proxy module, a much shortened version of the individual questionnaire, collects demographic, health, and employment information, as well as a summary income measure.

The adult self-completion questionnaire was a pencil-and-paper instrument (PAPI) at Waves 1 and 3, and in Waves 4-7 included an experimental comparison with Computer Assisted Self-Completion (CASI). It includes subjective questions, particularly those which are potentially sensitive or require more privacy. It covers feelings of depression, sleep behaviour, neighbourhood participation and belonging, life satisfaction, and attributes of friends. There was no adult self-completion questionnaire at Wave 2.

The youth self-completion questionnaire (also PAPI) is given to children aged 10-15 years in the household. It covers computer and technology use; relationships with parents; feelings about areas of life; Strengths and Difficulties Questionnaire (SDQ); and educational plans.

Coverage, universe, methodology

Dates of fieldwork: Wave 1: January-April 2008; Wave 2: March-June 2009; Wave 3: April-July 2010; Wave 4: March-July 2011; Wave 5: May-August 2012; Wave 6: February-July 2013; Wave 7: May–October 2014; Wave 8: May-September 2015; Wave 9: May-September 2016.
Country: Great Britain
Spatial units: Countries
Government Office Regions
Observation units: Individuals
Families/households
Kind of data: Numeric data
Individual (micro) level
Universe: National
Households and their individual members resident in Great Britain.
Time dimensions: Longitudinal/panel/cohort
Sampling procedures: Multi-stage stratified random sample
See documentation for details.
Number of units: Wave 1: 1,489 households; Wave 2: 1,122 households; Wave 3: 1,027 households; Wave 4: 1,381 households; Wave 5: 1,226 households; Wave 6: 1,189 households; Wave 7: 1,407 households; Wave 8: 1,330 households; Wave 9: 1,245 households.
Method of data collection: Face-to-face interview; Telephone interview; Self-completion
Web-based survey.
Weighting: Weighting used. See documentation for details.

Thesaurus search on keywords

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ACADEMIC ACHIEVEMENTACCIDENTSACCOUNTS
ADOLESCENTSADOPTED CHILDRENADOPTIVE PARENTS
ADULTSAGEALCOHOL USE
ALCOHOLIC DRINKSAPPLICATION FOR EMPLOYMENTASPIRATION
ASSAULTATTITUDESBEDROOMS
BIRTH WEIGHTBREAST-FEEDINGBRITISH POLITICAL PARTIES
BROADBANDBULLYINGBUSINESSES
CABLE TELEVISIONCARE OF DEPENDANTSCARE OF THE DISABLED
CARE OF THE ELDERLYCAREGIVERSCENTRAL HEATING
CHILD BENEFITSCHILD CARECHILD DAY CARE
CHILD SUPPORT PAYMENTSCHILDBIRTHCHILDREN
CITIZENSHIPCIVIL PARTNERSHIPSCLEANING
CLINICAL TESTS AND MEASUREMENTSCLOTHINGCOHABITATION
COHABITINGCOLOUR TELEVISION RECEIVERSCOMMUNITY BEHAVIOUR
COMMUTINGCOMPACT DISC PLAYERSCOMPUTERS
CONFECTIONERYCONSUMER GOODSCOSTS
COUNCIL TAXCRIME VICTIMSCRIMINAL DAMAGE
CULTURAL GOODSDEATHDEBILITATIVE ILLNESS
DEBTSDEGREESDEPRESSION
DISABILITIESDISABLED PERSONSDISCRIMINATION
DISEASESDIVORCEDOMESTIC APPLIANCES
DOMESTIC RESPONSIBILITIESECONOMIC ACTIVITYEDUCATIONAL BACKGROUND
EDUCATIONAL EXPECTATIONSELECTRIC POWER SUPPLYELECTRONIC GAMES
EMOTIONAL STATESEMPLOYEESEMPLOYERS
EMPLOYMENT HISTORYEMPLOYMENT OPPORTUNITIESEMPLOYMENT PROGRAMMES
EMPLOYMENTENERGY CONSUMPTIONENVIRONMENTAL CONSERVATION
ENVIRONMENTAL DEGRADATIONENVIRONMENTAL ISSUESENVIRONMENTAL MOVEMENTS
ETHNIC GROUPSETHNIC MINORITIESEXAMINATIONS
EXPENDITUREFAMILIESFAMILY DISORGANIZATION
FAMILY ENVIRONMENTFAMILY LIFEFAMILY MEMBERS
FAMILY SIZEFATHER'S ECONOMIC ACTIVITYFATHER'S PLACE OF BIRTH
FATHERSFINANCIAL DIFFICULTIESFINANCIAL EXPECTATIONS
FINANCIAL RESOURCESFINANCIAL SUPPORTFOOD
FREQUENCYFRIENDSFRUIT
FUEL OILSFUELSFULL-TIME EMPLOYMENT
FURNISHED ACCOMMODATIONFURNITUREFURTHER EDUCATION
GAS SUPPLYGENDERGRANDPARENTS
GREAT BRITAINHAPPINESSHEALTH
HEATING SYSTEMSHEIGHT (PHYSIOLOGY)HIGHER EDUCATION
HOLIDAYSHOME BUYINGHOME CONTENTS INSURANCE
HOME OWNERSHIPHOURS OF WORKHOUSE PRICES
HOUSEHOLD BUDGETSHOUSEHOLD INCOMEHOUSEHOLDS
HOUSESHOUSEWORKHOUSING BENEFITS
HOUSING CONDITIONSHOUSING FACILITIESHOUSING FINANCE
HOUSING NEEDSHOUSING TENUREHOUSING
ILL HEALTHINCOMEINFANTS
INSURANCEINTEREST (FINANCE)INTERNET ACCESS
INTERNET USEINVESTMENTJOB CHANGING
JOB HUNTINGJOB SATISFACTIONJUVENILE DELINQUENCY
LANDLORDSLANGUAGESLEAVING HOME (YOUTH)
LEISURE TIME ACTIVITIESLIFE SATISFACTIONLIVING ABROAD
LOANSMANAGERSMARITAL HISTORY
MARITAL STATUSMARRIAGE DISSOLUTIONMARRIAGE
MEALSMOBILE PHONESMORTGAGE ARREARS
MORTGAGESMOTHER'S ECONOMIC ACTIVITYMOTHER'S PLACE OF BIRTH
MOTHERSMOTOR PROCESSESMOTOR VEHICLES
NATIONALISMNATIONALITYNEIGHBOURHOODS
NEIGHBOURSOCCUPATIONAL PENSIONSOCCUPATIONAL QUALIFICATIONS
OCCUPATIONAL TRAININGOCCUPATIONSONE-PARENT FAMILIES
OVERTIMEPAINPARENT RESPONSIBILITY
PARENTAL ROLEPARENTAL SUPERVISIONPARENT-CHILD RELATIONSHIP
PARTICIPATIONPART-TIME EMPLOYMENTPATIENTS
PAYMENTSPERSONAL DEBT REPAYMENTPHYSICAL MOBILITY
PLACE OF BIRTHPLACE OF RESIDENCEPOLITICAL ALLEGIANCE
POLITICAL ATTITUDESPOLITICAL INTERESTPRIVATE PERSONAL PENSIONS
PRIVATE SCHOOLSPRIVATE SECTORPROFITS
PUBLIC SECTORQUALIFICATIONSQUALITY OF LIFE
RECREATIONAL FACILITIESRECYCLINGRELIGIOUS AFFILIATION
RELIGIOUS ATTENDANCERELIGIOUS DOCTRINESRENEWABLE ENERGY
RENTED ACCOMMODATIONRENTSRESIDENTIAL MOBILITY
RETIREMENTROOMSRURAL AREAS
SAFETY AND SECURITYSATELLITE RECEIVERSSATISFACTION
SAVINGSSCHOOL PUNISHMENTSSCHOOL-LEAVING AGE
SCHOOLSSEASONAL EMPLOYMENTSELF-EMPLOYED
SELF-ESTEEMSHOPPINGSIBLINGS
SLEEPSMOKINGSOCIAL ATTITUDES
SOCIAL CAPITALSOCIAL CLASSSOCIAL HOUSING
SOCIAL INEQUALITYSOCIAL SECURITY BENEFITSSOCIAL SECURITY CONTRIBUTIONS
SOCIO-ECONOMIC STATUSSOLAR POWERSOLID FUEL HEATING
SPOUSESSTANDARD OF LIVINGSTATE EDUCATION
STATE RETIREMENT PENSIONSSTEPCHILDRENSTUDENT TRANSPORTATION
STUDENTSSUBCONTRACTINGSUBSIDIARY EMPLOYMENT
SUPERVISORSTELEPHONESTELEVISION RECEIVERS
TELEVISION VIEWINGTEMPORARY EMPLOYMENTTHEFT
TIED HOUSINGTIMETRAINING
TRAVELLING TIMETRUANCYUNEARNED INCOME
UNEMPLOYEDUNEMPLOYMENTUNFURNISHED ACCOMMODATION
URBAN AREASVEGETABLESVOTING BEHAVIOUR
VOTING INTENTIONWAGESWEIGHT (PHYSIOLOGY)
WELSH (LANGUAGE)WIDOWEDWIND POWER
WORKING WOMENWORKPLACEYOUTH

Administrative and access information

Date of release:
First edition: 03 September 2012
Latest edition: 09 August 2017 (7th Edition)
Copyright: Copyright Economic and Social Research Council
Access conditions: The depositor has specified that registration is required and standard conditions of use apply. The depositor may be informed about usage.
Additional special conditions of use also apply. See terms and conditions of access for further information. In addition, the UK Data Service is required to request permission from the depositor prior to supplying the data.

Please note:
Since these data pose a higher risk of disclosure than data made available under the standard End User Licence they have additional special conditions attached to them that take the form of a Special Licence (SL). The SL requires the completion of an additional application form, agreement to the conditions of the SL, the signature(s) of the researcher(s), and the explicit permission of the data owners to release the data to the researcher(s). This is to ensure that the guarantee of confidentiality given to survey respondents is protected. SL applications are screened by the UK Data Service and the data owners and data are only released to those researchers requiring data for statistical research purposes and who can justify their need for the SL data.

Researchers are required to keep the data under conditions of greater security than required under the standard End User Licence. The guide, Microdata handling and security: guide to good practice, explains how to meet these conditions.
Availability: UK Data Service
Contact: Get in touch

Documentation

Title File Name Size (KB)
IP Differences between End User and Special Licence versions 7083_eul_vs_sl.pdf 408
Changes to IP Waves 1-8 June 2017 7083_ip_waves_1-8_changes_collated.pdf 552
IP Waves 1-9 User Manual 7083_ip_waves_1-9_user_manual_june_2017.pdf 1180
IP Wave 1 Address Record Form 7083_ip_wave_1_address_record_form.pdf 823
IP Wave 1 Advance Letters 7083_ip_wave_1_advance_letters.pdf 193
IP Wave 1 Consent Forms 7083_ip_wave_1_consent_forms.pdf 273
IP Wave 1 Participant Correspondence 7083_ip_wave_1_participant_correspondence.pdf 230
IP Wave 1 Project Instructions 7083_ip_wave_1_project_instructions.pdf 1040
IP Wave 1 Questionnaires 7083_ip_wave_1_questionnaires.pdf 2585
IP Wave 1 Technical Report 7083_ip_wave_1_tech_report.pdf 541
IP Wave 2 Address Record Forms 7083_ip_wave_2_address_record_forms.pdf 1644
IP Wave 2 Advance Letters 7083_ip_wave_2_advance_letters.pdf 1427
IP Wave 2 Consent Forms 7083_ip_wave_2_consent_forms.pdf 677
IP Wave 2 Information Leaflets 7083_ip_wave_2_information_leaflets.pdf 683
IP Wave 2 Participant Correspondence 7083_ip_wave_2_participant_correspondence.pdf 3470
IP Wave 2 Project Instructions 7083_ip_wave_2_project_instructions.pdf 2675
IP Wave 2 Questionnaires 7083_ip_wave_2_questionnaires.pdf 3170
IP Wave 2 Technical Report 7083_ip_wave_2_tech_report.pdf 1381
IP Wave 3 Address Record Forms 7083_ip_wave_3_address_record_forms.pdf 2112
IP Wave 3 Advance Letters 7083_ip_wave_3_advance_letters.pdf 557
IP Wave 3 Information Leaflets 7083_ip_wave_3_information_leaflet.pdf 562
IP Wave 3 Participant Correspondence 7083_ip_wave_3_participant_correspondence.pdf 677
IP Wave 3 Project Instructions 7083_ip_wave_3_project_instructions.pdf 1927
IP Wave 3 Questionnaires 7083_ip_wave_3_questionnaires.pdf 4257
IP Wave 3 Technical Report 7083_ip_wave_3_tech_report.pdf 1296
IP Wave 4 Address Record Forms 7083_ip_wave_4_address_record_forms.pdf 3351
IP Wave 4 Advance Letters 7083_ip_wave_4_advance_letters.pdf 468
IP Wave 4 Consent Form 7083_ip_wave_4_consent_form_economic_records.pdf 395
IP Wave 4 Information Leaflets 7083_ip_wave_4_informationleaflets.pdf 1031
IP Wave 4 Participant Correspondence 7083_ip_wave_4_participant_correspondence.pdf 985
IP Wave 4 Project Instructions 7083_ip_wave_4_project_instructions.pdf 3238
IP Wave 4 Questionnaires 7083_ip_wave_4_questionnaires.pdf 4602
IP Wave 4 Technical Report 7083_ip_wave_4_techreport.pdf 895
IP Wave 5 Address Record Form 7083_ip_wave_5_address_record_forms.pdf 731
IP Wave 5 Advance Letters 7083_ip_wave_5_advance_letters.pdf 490
IP Wave 5 Information Leaflets 7083_ip_wave_5_info_leaflets.pdf 954
IP Wave 5 Participant Correspondence 7083_ip_wave_5_participant_correspondence.pdf 1405
IP Wave 5 Project Instructions 7083_ip_wave_5_project_instructions.pdf 2997
IP Wave 5 Questionnaires 7083_ip_wave_5_questionnaires.pdf 6936
IP Wave 5 Technical Report 7083_ip_wave_5_tech_report.pdf 578
IP Wave 6 Address Record Forms 7083_ip_wave_6_address_record_forms.pdf 759
IP Wave 6 Advance Letters 7083_ip_wave_6_advance_letters.pdf 3706
IP Wave 6 Information Leaflets 7083_ip_wave_6_infoleaflets.pdf 1032
IP Wave 6 Participant Correspondence 7083_ip_wave_6_participant_correspondence.pdf 1031
IP Wave 6 Project Instructions 7083_ip_wave_6_project_instructions.pdf 2767
IP Wave 6 Questionnaires 7083_ip_wave_6_questionnaires.pdf 9048
IP Wave 6 Technical Report 7083_ip_wave_6_tech_report.pdf 1436
IP Wave 7 Advance Letters 7083_ip_wave_7_advance_letters.pdf 4224
IP Wave 7 Information Leaflets 7083_ip_wave_7_infoleaflets.pdf 1014
IP Wave 7 Participant Correspondence 7083_ip_wave_7_participant_correspondence.pdf 3282
IP Wave 7 Project Instructions 7083_ip_wave_7_project_instructions.pdf 2447
IP Wave 7 Questionnaires 7083_ip_wave_7_questionnaires.pdf 10213
IP Wave 7 Technical Report 7083_ip_wave_7_tech_report.pdf 869
IP Wave 7 Timings Data Files 7083_ip_wave_7_timings.pdf 429
IP Wave 8 Emails 7083_ip_wave_8_emails.pdf 291
IP Wave 8 Interviewer Materials 7083_ip_wave_8_interviewer_materials.pdf 3871
IP Wave 8 Letters 7083_ip_wave_8_letters.pdf 4154
IP Wave 8 Questionnaires 7083_ip_wave_8_questionnaires.pdf 9845
IP Wave 8 Technical Report 7083_ip_wave_8_tech_report.pdf 1274
IP Wave 9 Emails 7083_ip_wave_9_emails.pdf 858
IP Wave 9 Interviewer Materials 7083_ip_wave_9_interviewer_materials.pdf 4021
IP Wave 9 Letters 7083_ip_wave_9_letters.pdf 4497
IP Wave 9 Questionnaires 7083_ip_wave_9_questionnaires.pdf 8939
IP Wave 9 Technical Report 7083_ip_wave_9_tech_report.pdf 2221
UK Data Archive Data Dictionary for Cross Wave 7083_ukda_data_dictionary_cross_wave.pdf 407
UK Data Archive Data Dictionary for Wave 1 7083_ukda_data_dictionary_wave_1.pdf 3894
UK Data Archive Data Dictionary for Wave 2 7083_ukda_data_dictionary_wave_2.pdf 6098
UK Data Archive Data Dictionary for Wave 3 7083_ukda_data_dictionary_wave_3.pdf 5905
UK Data Archive Data Dictionary for Wave 4 7083_ukda_data_dictionary_wave_4.pdf 6751
UK Data Archive Data Dictionary for Wave 5 7083_ukda_data_dictionary_wave_5.pdf 6015
UK Data Archive Data Dictionary for Wave 6 7083_ukda_data_dictionary_wave_6.pdf 6807
UK Data Archive Data Dictionary for Wave 7 7083_ukda_data_dictionary_wave_7.pdf 5549
UK Data Archive Data Dictionary for Wave 8 7083_ukda_data_dictionary_wave_8.pdf 5146
UK Data Archive Data Dictionary for Wave 9 7083_ukda_data_dictionary_wave_9.pdf 4816
Study information and citation UKDA_Study_7083_Information.htm 7
READ File read7083.htm 11
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Publications

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By principal investigator(s):
All Understanding Society – Innovation Panel Publications – August 2017

Al Baghal, T. (2016) The impact of dependent interviewing wording and survey factors on reporting of change, Understanding Society Working Paper Series, No. 2016-04. Colchester: University of Essex. Institute for Social and Economic Research.

Al Baghal, T. (2016) 'Last year your answer was …: the impact of dependent interviewing wording and survey factors on reporting of change', Field Methods, 29(1), pp.61-78. doi: 10.1177/1525822X16645073

Al Baghal, T. (ed.), Allum, N., Auspurg, K., Blake, M., Booker, C.L., Crossley, T. F., … Winter, J. (2014) Understanding Society Innovation Panel Wave 6: results from methodological experiments, Understanding Society Working Paper Series, No. 2014-04. Colchester: University of Essex. Institute for Social and Economic Research.

Al Baghal, T. (ed.), Blom, A.G., Burton, J., Booker, C.L., Cernat, A., Fairbrother, M., … Yan, T. (2015) Understanding Society Innovation Panel Wave 7: results from methodological experiments, Understanding Society Working Paper Series, No. 2015-03. Colchester: University of Essex. Institute for Social and Economic Research.

Al Baghal, T. (ed.) Creighton, M., Dykema, J., Gaia, A., Cernat, A., Garbarski, D., …Yan, T. (2016) Understanding Society Innovation Panel Wave 8: results from methodological experiments, Understanding Society Working Paper Series, No. 2016-02. Colchester: University of Essex. Institute for Social and Economic Research.

Al Baghal, T. and Lynn, P. (2014) Using motivational statements in web instrument design to reduce item missing rates in a mixed-mode context, Understanding Society Working Paper Series, No. 2014-02. Colchester: University of Essex. Institute for Social and Economic Research.

Al Baghal, T. and Lynn, P. (2015) 'Using motivational statements in web-instrument design to reduce item-missing rates in a mixed-mode context', Public Opinion Quarterly, 79(2), pp.568-579. doi: 10.1093/poq/nfv023

Auspurg, K., Iacovou, M., and Nicoletti, C. (2017) 'Housework share between partners: experimental evidence on gender-specific preferences', Social Science Research. doi: 10.1016/j.ssresearch.2017.01.003

Auspurg, K., Iacovou, M., and Nicoletti, C. (2014) Housework share between partners: experimental evidence on gender identity, University of York Discussion Papers in Economics, No. 14/20. York: University of York. Department of Economics and Related Studies.

Auspurg, K., Iacovou, M., and Nicoletti, C. (2015) Housework share between partners: experimental evidence on gender identity, ISER Working Paper Series, No. 2015-03. Colchester: University of Essex. Institute for Social and Economic Research.

Bianchi, A., Biffignandi, S., and Lynn, P. (2016) Web-CAPI sequential mixed mode design in a longitudinal survey: effects on participation rates, sample composition and costs, Understanding Society Working Paper Series, No. 2016-08. Colchester: University of Essex. Institute for Social and Economic Research.

Boreham, R. and Constantine, R. (2008) Understanding Society Innovation Panel Wave 1: technical report - prepared for ISER, London: National Centre for Social Research.

Brown, M., and Calderwood, L. (2013) Can encouraging respondents to contact interviewers to make appointments boost co-operation rates and save costs? Evidence from a randomised experiment in the UK, CLS Working Paper Series, No. 2013/9. London: Institute of Education. Centre for Longitudinal Studies.

Brown, M., and Calderwood, L. (2014) 'Can encouraging respondents to contact interviewers to make appointments reduce fieldwork effort? Evidence from a randomized experiment in the UK', Journal of Survey Statistics and Methodology, 2(4), pp.484-497. doi: 10.1093/jssam/smu017

Burton, J., Laurie, H., and Uhrig, S.C. N. (2008) Understanding Society. Some preliminary results from the Wave 1 Innovation Panel, Understanding Society Working Paper Series, No. 2008-03. Colchester: University of Essex. Institute for Social and Economic Research.

Burton, J., Laurie, H. and Uhrig, S.C.N. (2010) Understanding Society Innovation Panel Wave 2: results from methodological experiments, Understanding Society Working Paper Series, No. 2010-04. Colchester: University of Essex. Institute for Social and Economic Research.

Burton, J. (ed.), Auspurg, K., Burton, J., Cullinane, C., Delavande, A., Fumagalli, L., … Zafar, B. (2013) Understanding Society Innovation Panel Wave 5: results from methodological experiments, Understanding Society Working Paper Series, No. 2013-06. Colchester: University of Essex. Institute for Social and Economic Research.

Burton, J. (ed.) with Budd, S., Burton, J., Gilbert, E., Jäckle, A., McFall, S.L., and Uhrig, S.C.N. (2011) Understanding Society Innovation Panel Wave 3: results from methodological experiments, Understanding Society Working Paper Series, No. 2011-05. Colchester: University of Essex. Institute for Social and Economic Research.

Burton, J. (ed.), Budd, S., Gilbert, E., Burton, J., Jäckle, A., Kaminska, O., … Calderwood, L. (2012) Understanding Society Innovation Panel Wave 4: results from methodological experiments, Understanding Society Working Paper Series, No. 2012-06. Colchester: University of Essex. Institute for Social and Economic Research.

Calderwood, L. (2016) Reducing non-response in longitudinal surveys by improving survey practice, PhD thesis, London: University College London.

Cernat, A. (2013) The impact of mixing modes on reliability in longitudinal studies, ISER Working Paper Series, No. 2013-09. Colchester: University of Essex. Institute for Social and Economic Research.

Cernat, A. (2014) Impact of mixed modes on measurement errors and estimates of change in panel data, Understanding Society Working Paper Series, No. 2014-05. Colchester: University of Essex. Institute for Social and Economic Research.

Cernat, A. (2015) Evaluating mode differences in longitudinal data. Moving to a mixed mode paradigm of survey methodology, PhD thesis, Colchester: University of Essex. Institute for Social and Economic Research.

Cernat, A. (2015) 'The impact of mixing modes on reliability in longitudinal studies', Sociological Methods and Research, 44(3), pp.427-457. doi: 10.1177/0049124114553802

Cernat, A. (2015) 'Impact of mode design on measurement errors and estimates of individual change', Survey Research Methods, 9(2), pp. 83-99. doi: 10.18148/srm/2015.v9i2.5851

Cernat, A. (2015) Using equivalence testing to disentangle selection and measurement in mixed modes surveys, Understanding Society Working Paper Series, No. 2015-01. Colchester: University of Essex. Institute for Social and Economic Research.

Cernat, A. and Lynn, P. (2014) The role of email addresses and email contact in encouraging web response in a mixed mode design, Understanding Society Working Paper Series, No. 2014-10. Colchester: University of Essex. Institute for Social and Economic Research.

Collins, D. and Mitchell, M. (2014) Role of mode in respondents' decisions to participate in IP5: findings from a qualitative follow-up study, Understanding Society Working Paper Series, No. 2014-03. Colchester: University of Essex. Institute for Social and Economic Research.

Copps, J. and Plimmer, D. (2013) The journey to employment: a guide to understanding and measuring what matters for young people, [S.l.]: Inspiring Impact.

Corrado, L. and Joxhe, M. (2016) The effect of survey design on extreme response style: rating job satisfaction, CEIS Tor Vergata Research Papers Series, No. 365. Rome: University of Rome Tor Vergata. Centre for Economic and International Studies.

Couper, M.P. (2012) Assessment of innovations in data collection technology for Understanding Society: a report to the Economic and Social Research Council, Swindon: Economic and Social Research Council.

d'Ardenne, J. and Blake, M. (2012) Developing expenditure questions: findings from focus groups, IFS Working Paper Series, No. W12/18. London: Institute for Fiscal Studies.

Dixon, T. (2015) Creating strong communities: how to measure the social sustainability of new housing developments, Cobham: The Berkeley Group.

Dixon, T. and Woodcraft, S. (2016) Creating strong communities - measuring social sustainability in new housing development, Cobham: The Berkeley Group.

Fairbrother, M. (2017) 'When will people pay to pollute? Environmental taxes, political trust and experimental evidence from Britain', British Journal of Political Science, doi: 10.1017/S0007123416000727

Gaia, A. (2017) The effect of respondent incentives on panel attrition in a sequential mixed-mode design, Understanding Society Working Paper Series, No. 2017-03. Colchester: University of Essex. Institute for Social and Economic Research.

Galizzi, M. M., Machado, S. R., and Miniaci, R. (2016) Temporal stability, cross-validity, and external validity of risk preferences measures: experimental evidence from a UK representative sample, SSRN Research Paper Series. Rochester, N.Y.

Gilbert, E. (2015) Sources of measurement error in panel surveys, PhD thesis, Colchester: University of Essex. Institute for Social and Economic Research.

Gilbert, E.E. (2015) 'A comparison of branched versus unbranched rating scales for the measurement of attitudes in surveys', Public Opinion Quarterly, 79(2), pp. 443-470. doi: 10.1093/poq/nfu090

Gush, K., Scott, J. and Laurie, H. (2013) Households' responses to spousal job loss: 'all change' or 'carry on as usual'?, ISER Working Paper Series, No. 2013-13. Colchester: University of Essex. Institute for Social and Economic Research.

Gush, K., Scott, J. and Laurie, H. (2013) Households' responses to spousal job loss: 'all change' or 'carry on as usual'?, Understanding Society Working Paper Series, No. 2013-04. Colchester: University of Essex. Institute for Social and Economic Research.

Gush, K., Scott, J., and Laurie, H. (2015) 'Households' responses to spousal job loss: 'all change' or 'carry on as usual'?', Work, Employment and Society, 29(5), pp.703-719. doi: 10.1177/0950017014556411

Gush, K., Scott, J., and Laurie, H. (2015) Job loss and social capital: the role of family, friends and wider support networks, ISER Working Paper Series, No. 2015-07. Colchester: University of Essex. Institute for Social and Economic Research.

Holford, A. and Pudney, S. (2014) Survey design and the determinants of subjective wellbeing: an experimental analysis, Understanding Society Working Paper Series, No. 2014-06. Colchester: University of Essex. Institute for Social and Economic Research.

Holford, A. and Pudney, S. (2015) Survey design and the determinants of subjective wellbeing: an experimental analysis, IZA Discussion Papers, No. 8760. Bonn: Institute for the Study of Labor.

Jäckle, A. and Eckman, S. (2016) Is that still the same? Has that changed? On the accuracy of measuring change with dependent interviewing, Understanding Society Working Paper Series, No. 2016-06. Colchester: University of Essex. Institute for Social and Economic Research.

Jäckle, A., Lynn, P. and Burton, J. (2013) Going online with a face-to-face household panel: initial results from an experiment on the Understanding Society Innovation Panel, Understanding Society Working Paper Series, No. 2013-03. Colchester: University of Essex. Institute for Social and Economic Research.

Jäckle, A., Lynn, P., and Burton, J. (2015) 'Going online with a face-to-face household panel: effects of a mixed mode design on item and unit non-response', Survey Research Methods, 9(1), pp. 57-70. doi: 10.18148/srm/2015.v9i1.5475

Jäckle, A. and Pudney, S. (2015) Survey response behaviour and the dynamics of self-reported health and disability: an experimental analysis, Understanding Society Working Paper Series, No. 2015-05. Colchester: University of Essex. Institute for Social and Economic Research.

Kaminska, O. and Lynn, P. (2017) The implications of alternative allocation criteria in adaptive design for panel surveys, Understanding Society Working Paper Series, No. 2017-02. Colchester: University of Essex. Institute for Social and Economic Research.

Lynn, P. (2011) The effect of a mixed mode wave on subsequent attrition in a panel survey: evidence from the Understanding Society Innovation Panel, Understanding Society Working Paper Series, No. 2011-06. Colchester: University of Essex. Institute for Social and Economic Research.

Lynn, P. (2012) Mode-switch protocols: how a seemingly small design difference can affect attrition rates and attrition bias, ISER Working Paper Series, No. 2012-28. Colchester: University of Essex. Institute for Social and Economic Research.

Lynn, P. (2012) Mode-switch protocols: how a seemingly small design difference can affect attrition rates and attrition bias, Understanding Society Working Paper Series, No. 2012-07. Colchester: University of Essex. Institute for Social and Economic Research.

Lynn, P. (2012) The propensity of older respondents to participate in a general purpose survey, Understanding Society Working Paper Series, No. 2012-03. Colchester: University of Essex. Institute for Social and Economic Research.

Lynn, P. (2013) 'Alternative sequential mixed-mode designs: effects on attrition rates, attrition bias, and costs', Journal of Survey Statistics and Methodology, 1(2), pp. 183-205. doi. 10.1093/jssam/smt015

Lynn, P. (2013) Longer interviews may not affect subsequent survey participation propensity, Understanding Society Working Paper Series, No. 2013-07. Colchester: University of Essex. Institute for Social and Economic Research.

Lynn, P. (2013) Targeted response inducement strategies on longitudinal surveys, Understanding Society Working Paper Series, No. 2013-02. Colchester: University of Essex. Institute for Social and Economic Research.

Lynn, P. (2014) 'Longer interviews may not affect subsequent survey participation propensity', Public Opinion Quarterly, 78(2), pp.500-509. doi. 10.1093/poq/nfu015

Lynn, P. (2014) Targeted initial letters to longitudinal survey sample members: effects on response rates, response speed, and sample composition, Understanding Society Working Paper Series, No. 2014-08. Colchester: University of Essex. Institute for Social and Economic Research.

Lynn, P. (2015) 'Targeted response inducement strategies on longitudinal surveys' in U. Engel, B. Jann, P. Lynn, A. Scherpenzeel, and P. Sturgis (eds.) Improving survey methods: lessons from recent research, New York; London: Routledge. Ch. 27:322-338.

Lynn, P. (2016) The advantage and disadvantage of implicitly stratified sampling, Understanding Society Working Paper Series, No. 2016-05. Colchester: University of Essex. Institute for Social and Economic Research.

Lynn, P. (2016) 'Targeted appeals for participation in letters to panel survey members', Public Opinion Quarterly, 80(3), pp. 771-782. doi: 10.1093/poq/nfw024

Lynn, P. and Jäckle, A. (2017) Mounting multiple experiments on longitudinal social surveys: design and implementation considerations, Understanding Society Working Paper Series, No. 2017-05. Colchester: University of Essex. Institute for Social and Economic Research.

Lynn, P., Uhrig, S.C.N., and Burton, J. (2010) Lessons from a randomised experiment with mixed-mode designs for a household panel survey, Understanding Society Working Paper Series, No. 2010-03. Colchester: University of Essex. Institute for Social and Economic Research.

Mowbray, J., Raeside, R., Hall, H., and Robertson, P. (2016) 'Social networking sites and employment status: an investigation based on Understanding Society data', in IDIMC 2016: Exploring our Digital Shadow: from Data to Intelligence - conference proceedings. Loughborough: University of Loughborough. LISU. , pp.75-85.

Nandi, A. and Platt, L. (2011) Effect of interview modes on measurement of identity, Understanding Society Working Paper Series, No. 2011-02. Colchester: University of Essex. Institute for Social and Economic Research.

Nandi, A. and Platt, L. (2017) 'Are there differences in responses to social identity questions in face-to-face versus telephone interviews? Results of an experiment on a longitudinal survey', International Journal of Social Research Methodology, 20(2), pp.151-166. doi: 10.1080/13645579.2016.1165495

Nicolaas, G., Calderwood, L., Lynn, P., and Roberts, C. (2014) Web surveys for the general population: how, why and when?, Southampton: National Centre for Research Methods.

OECD (2013) 'Methodological considerations in the measurement of subjective well-being' in OECD Guidelines on measuring subjective well-being, Paris: OECD Publishing. Ch. 2:61-138.

Pudney, S. (2010) An experimental analysis of the impact of survey design on measures and models of subjective wellbeing, ISER Working Paper Series, No. 2010-20. Colchester: University of Essex. Institute for Social and Economic Research.

Pudney, S. (2010) An experimental analysis of the impact of survey design on measures and models of subjective wellbeing, Understanding Society Working Paper Series, No. 2010-01. Colchester: University of Essex. Institute for Social and Economic Research.

Robson, M., Asaria, M.,Tsuchiya, A., Ali, S., and Cookson, R. (2016) Eliciting the level of health inequality aversion in England, CHE Research Papers, No. 125. York: University of York. Centre for Health Economics.

Sala, E., Knies, G., and Burton, J. (2013) Propensity to consent to data linkage: experimental evidence from the Innovation Panel on the role of three survey design features, Understanding Society Working Paper Series, No. 2013-05. Colchester: University of Essex. Institute for Social and Economic Research.

Sala, E., Knies, G., and Burton, J. (2014) 'Propensity to consent to data linkage: experimental evidence on the role of three survey design features in a UK longitudinal panel', International Journal of Social Research Methodology, 17(5), pp. 455-473. doi. 10.1080/13645579.2014.899101

Sturgis, P. and Brunton-Smith, I. (2011) An assessment of the potential utility of interviewer observation variables for reducing non-response error in the National Survey for Wales: a report prepared for the Welsh Government, Cardiff: Welsh Government.

Uhrig, S.C.N. (2011) 'Using experiments to guide decision making in Understanding Society: introducing the Innovation Panel' in S.L. McFall and C. Garrington (eds.) Understanding Society: early findings from the first wave of the UK's Household longitudinal study, Colchester: University of Essex. Institute for Social and Economic Research. Ch. 13, pp.117-124.

Uhrig, S.C.N. (2012) 'Understanding panel conditioning: an examination of social desirability bias in self reported height and weight in panel surveys using experimental data', Longitudinal and Life Course Studies, 3(1): 120-136.

Uhrig, S.C.N., Bryan, M.L., and Budd, S. (2012) UKHLS Innovation Panel household wealth questions: preliminary analysis, Understanding Society Working Paper Series, No. 2012-01. Colchester: University of Essex. Institute for Social and Economic Research.

Wood, M. and Kunz, S. (2014) CAWI in a mixed mode longitudinal design, Understanding Society Working Paper Series, No. 2014-07. Colchester: University of Essex. Institute for Social and Economic Research.

For links to publications based on Understanding Society, including those listed below and others, please see the Understanding Society Publications webpage.


Burton, J., Nandi, A. and Platt, L. (2008) Who are the UK's ethnic minority groups? Issues of identification and measurement in a longitudinal survey, ISER Working Paper 2008-2. Retrieved 14 November 2014 from http://research.understandingsociety.org.uk/publications/working-paper/2008-02

Gray, M., Uhrig, S. C. N., Constantine, R., d'Ardenne, J. and Blake, M. (2008) Cognitive testing of Understanding Society. The UK Household Longitudinal Study questionnaire, ISER Working Paper 2008-4. Retrieved 14 November 2014 from http://research.understandingsociety.org.uk/publications/working-paper/2008-04

Lynn, P. (2009), Sample design for Understanding Society, ISER Working Paper 2009-1. Retrieved 14 November 2014 from http://research.understandingsociety.org.uk/publications/working-paper/2009-01

Berthoud, R., Fumagalli, L., Lynn, P., Platt, L. (2009) Design of the ethnic minority boost sample, ISER Working Paper 2009-2. Retrieved 14 November 2014 from http://research.understandingsociety.org.uk/publications/working-paper/2009-02

Nandi, A. and Platt, L. (2009) Developing ethnic identity questions for Understanding Society, the UK Household Longitudinal Study, ISER Working Paper 2009-3. Retrieved 14 November 2014 from http://research.understandingsociety.org.uk/publications/working-paper/2009-03

Rabe, B. (2011) Geographical identifiers in Understanding Society, version 1, ISER Working Paper 2011-1. Retrieved 14 November 2014 from http://research.understandingsociety.org.uk/publications/working-paper/2011-01

Nandi, A., Platt, L. (2011) Effect of interview modes on measurement of identity, ISER Working Paper 2011-2. Retrieved 14 November 2014 from http://research.understandingsociety.org.uk/publications/working-paper/2011-02

Booker, C. and Sacker, A. (2011) ‘Limiting long-term illness and subjective well-being in families’, Longitudinal and Life Course Studies, 3(1), pp.41-65.

Lynn, P. (2011) Maintaining cross-sectional representativeness in a longitudinal general population survey, ISER Working Paper 2011-4. Retrieved 14 November 2014 from http://research.understandingsociety.org.uk/publications/working-paper/2011-04

Ferragina, E., Tomlinson, M. and Walker, R. (2011) ‘Determinants of participation in the United Kingdom: a preliminary analysis’, Understanding Society .

Knies, G. (2011) ‘Life satisfaction and material well-being of young people in the UK’, Understanding Society .

Lynn, P., Burton, J., Kaminska, O., Knies, G. and Nandi, A. (2012) An initial look at non-response and attrition in Understanding Society, ISER Working Paper 2012-2. Retrieved 14 November 2014 from http://research.understandingsociety.org.uk/publications/working-paper/2012-02

Lynn, P. (2012) The propensity of older respondents to participate in a general population survey, ISER Working Paper 2012-3. Retrieved 14 November 2014 from http://research.understandingsociety.org.uk/publications/working-paper/2012-03

Knies, G., Burton, J. and Sala, E. (2012) ‘Consenting to health record linkage: evidence from a multi-purpose longitudinal survey of a general population’, BMC Health Services Research, 12(1), p.52.

Longhi S. (2013) Individual pro-environmental behaviour in the household context, ISER Working Paper 2013-21. Retrieved 17 February 2014 from https://www.iser.essex.ac.uk/publications/working-papers/iser/2013-21.pdf

McFall, S. L. and Buck, N. (2013) ‘Understanding Society – the UK Household Longitudinal Survey: a resource for demographers’, in Applied Demography and Public Health, Springer Netherlands, pp.357-369.

Tippett, N., Wolke, D. and Platt, L. (2013) ‘Ethnicity and bullying involvement in a national UK youth sample’ Journal of Adolescence, 36(4), pp.639-649.

Resulting from secondary analysis:

For links to publications based on Understanding Society, including those listed below and others, please see the Understanding Society Publications webpage.


Demey, D., Berrington, A., Evandrou, M. and Falkingham, J. (2011) 'The changing demography of mid-life, from the 1980s to the 2000s', Population Trends, 145 (Autumn), pp.16-34. Retrieved October 19th, 2011 from http://www.ons.gov.uk/ons/rel/population-trends-rd/population-trends/no--145--autumn-2011/ard-pt145-changing-demography.pdf

Demey, D., Berrington, A., Evandrou, M., Falkingham, J. and McGowan, T. (2011) How has mid-life changed in Britain since the 1980s?, CPC Briefing Paper No. 2. Retrieved October 19th, 2011 from http://www.cpc.ac.uk/resources/downloads/Mid_Life_in_Britain_briefing2.pdf

McAloney, K. (2012) 'Inter-faith relationships in Great Britain: prevalence and implications for psychological well-being', Mental Health, Religion and Culture, (online), DOI:10.1080/13674676.2012.714359

Berrington, A., Stone, J. and Falkingham, J. (2013) The impact of parental characteristics and contextual effects on returns to the parental home in Britain, CPC Working Paper 29.

Crawford, C., Dearden, L. and Greaves, E. (2013) When you are born matters: evidence for England, IFS Reports, R80, London: Institute for Fiscal Studies. doi: 10.1920/re.ifs.2013.0080. Retrieved August 19, 2013 from http://www.ifs.org.uk/comms/r80.pdf

Crawford, C., Dearden, L. and Greaves, E. (2013) The impact of age within academic year on adult outcomes, IFS Working Papers, W13/07, May. London: Institute for Fiscal Studies. doi: 10.1920/wp.ifs.2013.1307. Retrieved August 19, 2013 from http://www.ifs.org.uk/wps/wp201307.pdf

Demey, D., Berrington, A., Evandrou, M. and Falkingham, J. (2013) 'Pathways into living alone in mid-life: diversity and policy implications', Advances in Life Course Research, 18(3), pp.161-174. doi:10.1016/j.alcr.2013.02.001

McAloney, K. (2013) ‘Mixed’ religion relationships and well-being in Northern Ireland’, Journal of Religion and Health, pp.1-10.

Demey, D., Berrington, A., Evandrou, M. and Falkingham, J. (2014) 'Living alone and psychological well-being in mid-life: does partnership history matter?', Journal of Epidemiology and Community Health, 168(5), pp.403-410. http://dx.doi.org/10.1136/jech-2013-202932

Hutchinson, J., White, P.C.L. and Graham, H. (2014) 'Differences in the social patterning of active travel between urban and rural populations: findings from a large UK household survey', International Journal of Public Health. doi 10.1007/s00038-014-0578-2

Longhi S. (2014) 'Cultural diversity and subjective wellbeing', IZA Journal of Migration, 3(13), DOI: 10.1186/2193-9039-3-13

Houlden, V., Welch, S. and Jarvis, S. (2017) 'A cross-sectional analysis of green space prevalence and mental wellbeing in England', BMC Public Health, 17 (Suppl 1), p.460. doi: 10.1186/s12889-017-4401-x

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