Case study: The effect of text message reminder on survey nonresponse

Slides:



Advertisements
Similar presentations
IMPACT OF ONLINE EDITS AND INTERNET FEATURES IN THE 2006 CANADIAN CENSUS Presented by Mike Bankier on behalf of: Danielle Laroche and Chantal Grondin Statistics.
Advertisements

Attitudes of online panel members to mobile application based research 1 Robert Pinter WebDataNet Conference 2015 University of Salamanca
Internet Access, Past Year Health-Related Use of the Internet, and Interest in Selected IT Modalities for Health Education Estimates from the 2005 Kaiser.
A Deeper Understanding of Avery Fitness Center Customers
Adding a Mode as a Final Step in the Follow-up of a Panel Survey Seminar on New Frontiers for Statistical Data Collection Geneva, Switzerland, 31 October.
Making Sense of the Social World 4th Edition
Understanding the Decision to Participate in a Survey and the Choice of the Response Mode Anders Holmberg and Boris Lorenc European Conference on Quality.
Lesli Scott Ashley Bowers Sue Ellen Hansen Robin Tepper Jacob Survey Research Center, University of Michigan Third International Conference on Establishment.
1 1 Web in mix-mode surveys in Norway Bengt Oscar Lagerstrøm Symposium on General Population Surveys on the web, London November 2011.
A Strategy for Prioritising Non-response Follow-up to Reduce Costs Without Reducing Output Quality Gareth James Methodology Directorate UK Office for National.
The Challenge of Non- Response in Surveys. The Overall Response Rate The number of complete interviews divided by the number of eligible units in the.
The experience of Denmark with global disability questions in surveys Ola Ekholm & Henrik Brønnum-Hansen, National Institute of Public Health, University.
Increasing Efficiency in Data Collection Processes Arie Aharon, Israel Central Bureau of Statistics.
Chapter 2 Section 2 Surveys, Samples, and Populations Obj: Explain the survey method and the importance of proper sampling techniques.
GFK-RusGeneral Online Research International ConferenceVienna. April Attitude of Russians towards family planning: comparison of general population.
An Overview of Statistical Inference – Learning from Data
SESRI Workshop on Survey-based Experiments
A Case Study in Accessing Hard-to-Reach Populations
Healthy Eating Similarities and Differences
Chapter 16: Sample Size “See what kind of love the Father has given to us, that we should be called children of God; and so we are. The reason why the.
Peter Linde, Interviewservice Statistics Denmark
Context for the experiment?
Conversely Mixed Mode in the Swedish Crime Survey Sanna Wallin, researcher The Swedish National Council for Crime Prevention Thank you! It’s very nice.
You are where you Using data to estimate International Migration Rates
Improving Survey Response Rates: The Effect of Embedded Questions in Web Survey Invitations Nick Inchausti, SurveyMonkey Mingnan Liu, Facebook.
Subscription traps in 6 EU countries 2017 Summary
Redesigning French structural business statistics, using more administrative data ICESIII, Montréal, june 2007.
Comparing Two Proportions
Rose Krebill-Prather, PhD
SESRI Workshop on Survey-based Experiments
Planning efficient recruitment
Organizing national surveys
Trends in Chronic Diseases by Demographic Variables, Hawaii’s Older Population, Hawaii Health Survey (HHS) K. Kromer Baker1, A. T. Onaka1, B. Horiuchi1,
About Market Research Making a Questionnaire
ASSOCIATION OF CHILD ABUSE & MENTAL HEALTH SAMPLE CHARACTERISTICS
An Overview of Statistical Inference – Learning from Data
Market Research Unit 3 P3.
Immunization Registry and Provider-Reported Vaccination Histories: Assessing Missing Vaccinations Linda Piccinino (Abt Associates), Meena Khare (CDC),
Social Research Methods
The usage of web interviewing in Lithuanian Labour Force Survey
Is It Worth the Cost? The Use of a Survey Invitation Letter to Increase Response to an Survey. Brian Robertson, PhD, VP Research John Charles, MS,
Planning the change to a targeted survey design
Monitoring health and well-being with survey research / Pentala et al
Innovation and the online payment realm A market study
13th Workshop on Labour Force Survey Methodology
Prepared by Yuliia Halytsia
Chapter 7: Reducing nonresponse
Third year project – review of basic statistical concepts
Keeping Students on Track Using Technological Retention Tools
The European Statistical Training Programme (ESTP)
The impact of using web in The Danish LFS
NC1030 Meeting Panel Data & Codebook Considerations Sharon Danes & Katie Brewton October 18, 2009.
Web Usage in a Business Panel Survey
National needs for AES Purpose - describe participation in learning during a 12 months period. The main parameters are; Participation rates in different.
Lauren A. Barlotta & David E. Szwedo James Madison University
Main lessons learnt from the censuses in Hungary
Trends in Internet Usage & its Social Effects in Saudi Arabia
A Proposal for the Sierra Vista School District
New Techniques and Technologies for Statistics 2017  Estimation of Response Propensities and Indicators of Representative Response Using Population-Level.
Percent of adults ages 19–
Collecting the Data Tim Vizard, Office for National Statistics.
Changes in the Canadian Census of Population Program
The European Statistical Training Programme (ESTP)
Chapter 13: Item nonresponse
Deciding the mixed-mode design WP1
Chapter 5: The analysis of nonresponse
NAACCR/IACR Annual Conference, June 2019
NHS DUDLEY CCG Latest survey results August 2018 publication.
Provider Attitudes Regarding Varicella Vaccine Objective
Workshop on best practices for EU-SILC revision, −
Presentation transcript:

Case study: The effect of text message reminder on survey nonresponse Oona Pentala-Nikulainen 1.12.2018

outline Background Introduction Methods Results Future steps Did the text reminder activate respondents? How many respondents did we gain? What kind of respondents did it activate? Future steps 1.12.2018

BACKGROUND Nonresponse has increased especially in certain groups Sending similar reminders will increase the overall response rate but might not decrease the differences between the respondents and nonrespondents (e.g. Elliott & Hannaford 2003, Christensen et al 2015) When applying adaptive or responsive data collection designs (e.g. Lundquist & Särndal 2013) to mixed mode (postal and web) survey we also need new ways to contact the nonrespondents 1.12.2018 Nonresponse has increased especially in certain groups: We know this from the previous rounds or we can identify those groups during the data collection Sending similar reminders will increase the overall response rate but might not decrease the differences between the respondents and nonrespondents (e.g. Elliott & Hannaford 2003, Christensen et al 2015) We are interested in applying adaptive data collection methods in the later rounds so we need to find out new ways to contact the respondents.

Introduction The National FinSote Survey is a study of health, well-being and service use among Finnish adult population The sample size was 59 400 of adults 20 years old and upwards The final response rate was 46% Information was collected by mail and online questionnaire. 1.12.2018 The final response rate was 46% with big differences between different age groups; 20-to-54-year-olds 28%, 55-to-74-year-olds 58% and 75 years and older 57% (Pentala-Nikulainen et al., 2018).

Methods Hi! You received an invitation to take part in FinSote Survey earlier by mail. Please respond at www.thl.fi/finsote/answer. Your respondent code is xxxx. You will receive the password in a separate message. We tested sending a reminder via text message to a test group of 7991 20-to-54- year old nonrespondents The control group consisted of 9585 20-to- 54-year old nonrespondents for whom it was not possible to obtain an up-to-date mobile phone number The text messages were sent by programmed interface Your password concerning FinSote Survey is xxxx. Thank You in advance! More information at www.finsote.fi or p. 0800 97730. Please do not respond to this text 1.12.2018 The text reminder was an extra contact between the second and the third contact time approximately 4 months after the first contact. The reasons for the phone number not being available were usually the use of pre-paid subscriptions or having a mobile phone subscription under a new address or different name. The test group and the control group differed very little age and gender wise; in the test group there were slightly more older nonrespondents than in the control group.

REsults Men Control group 8.1% Test group 11.2% Women 1.12.2018 the effect was statistically significant only in some age groups, 25-to-29-year-olds and 45-to-49-year olds (figure 1 and table 1). There was also a difference between genders; the effect of text reminder was significant only among men (table 1).

REsults 1.12.2018 the effect was statistically significant only in some age groups, 25-to-29-year-olds and 45-to-49-year olds (figure 1 and table 1). In the test group the response rate by age group tends to be closer to the distribution of the final response rate

REsults The text messages did not result in higher number of contacts or refusals Overall we gained 299 answer between the time of sending the reminders and sending the final reminder via post After sending the text reminder and the final reminder via post we gained altogether 1044 answers from the test group and 1020 answers from the control group 1.12.2018

discussion Because the text reminder worked among certain age groups and among men we may have got a better balanced response set with sending text reminders We estimate that the text reminder brought us about 170 participants who would have otherwise been nonrespondents However the text reminder might not have been effective enough and more action should be taken in activating these participants A monitoring system and a programmed interface are needed 1.12.2018

Future steps To send text reminders earlier on during the data collection or even replace one mail reminder with text reminder To send multiple text reminders To study closer the test and control group respondents with more register data Try sending the text reminder to older agegroups 1.12.2018

REferences Elliott AM and Hannaford PC. Third mailings in epidemiological studies: are they really necessary? Family Practice 2003 Oct;20(5):592-4. Christensen AI, Ekholm O, Kristensen PL, Larsen FB, Vinding AL, Glümer C, Juel K. The effect of multiple reminders on response patterns in a Danish health survey. Eur J Public Health. 2015 Feb;25(1):156-61. doi: 10.1093/eurpub/cku057 Peter Lundquist and Carl-Erik Särndal. Aspects of Responsive Design with Applications to the Swedish Living Conditions Survey. Journal of Official Statistics, Vol. 29, No. 4, 2013, pp. 557–582, http://dx.doi.org/10.2478/jos- 2013-0040 Pentala-Nikulainen O, Koskela T, Parikka S, Kilpeläinen H, Koskenniemi T, Aalto A-M, Muuri A, Koskinen S & Lounamaa A. (2018). The basic results and methods of the National FinSote Survey 2017-2018. Internet publication https://thl.fi/en/web/thlfi-en/research-and-expertwork/population-studies/national-finsote-survey Thank You 1.12.2018