Journalism 614: Non-Response and Cell Phone Adoption Issues.

Slides:



Advertisements
Similar presentations
Address Frames and Mail Surveys as Complements (or Alternatives) to RDD Surveys Michael W. Link, Michael P. Battaglia, Martin R. Frankel, Larry Osborn,
Advertisements

Survey Response Rates: Trends and Standards Karen Donelan, ScD Senior Scientist in Health Policy Massachusetts General Hospital/Harvard Medical School.
ESRC Research Methods Festival, Oxford, July 2006 The Hunt for the Last Respondent How to decrease response rates and increase bias Ineke Stoop.
Marketing Research at the Turn of the Decade: Four Key Trends that Affect Research Presentation to the Ottawa Chapter of the Marketing Research and Intelligence.
2010 Research on Respondents tVox Data May, 2010 © Harris Interactive.
AP Statistics Section 5.1 B More on Sampling. Methods for sampling from large populations spread out over a wide area are usually more complex than an.
Public Opinion Polling How Public Opinion is Measured (and Mismeasured)
1 Sampling Telephone Numbers and Adults, and Interview Length, and Weighting in the California Health Survey Cell Phone Pilot Study J. Michael Brick, Westat.
Chapter 11: Collecting Data by Communication. Key Issues for Collecting Information by Communication.
STATISTICS FOR MANAGERS LECTURE 2: SURVEY DESIGN.
Structured Survey Interviewing: Telephone and In-Person Surveys Behice Ece Ilhan Chihchien Chen.
Challenges to Surveys Non-response error –Falling response rates over time Sample coverage –Those without landline telephones excluded –Growing.
1 Sampling Methods for Web and Surveys Associate Professor Ron Fricker Naval Postgraduate School Monterey, California.
American Time Use Survey: Report on Dress Rehearsal Diane Herz American Time Use Survey IATUR meetings in Lisbon, Portugal October
Quantitative Methods in the Social Sciences (QMSS) Lugano August 2005 Increasing response rates Ineke Stoop SCP.
A Tale of Two Methods: Comparing mail and RDD data collection for the Minnesota Adult Tobacco Survey III Wendy Hicks and David Cantor Westat Ann St. Claire,
Leading in the 21 st century- New paradigms for a globalizing world MGMT-E 152 Prof. Michael Pirson Class 7: October 29.
Response Rates and Results of the Advance Letter Experiment 2004 RRFSS Workshop Toronto, June 23, 2004 David A. Northrup, Renée Elsbett-Koeppen and Andrea.
Nonresponse issues in ICT surveys Vasja Vehovar, Univerza v Ljubljani, FDV Bled, June 5, 2006.
KY Module 2 Household Travel Surveys Chapter 6 of TS Manual.
Fieldwork efforts  Monitoring fieldwork efforts  Monitoring fieldwork efforts: Did interviewers /survey organisations implement fieldwork guidelines.
Telephone Surveys: Challenges for the Future Clyde Tucker Bureau of Labor Statistics.
12th Meeting of the Group of Experts on Business Registers
 Sampling Design Unit 5. Do frog fairy tale p.89 Do frog fairy tale p.89.
A Latent Class Call-back Model for Survey Nonresponse Paul P. Biemer RTI International and UNC-CH Michael W. Link Centers for Disease Control and Prevention.
Plans for the Research and Testing Phase of the 2020 Census Presentation to the State Data Centers October 15, 2010 Daniel H. Weinberg (Assistant Director.
1 Chronic Absence in the Early Grades: Presentation to NNIP An Applied Research Project funded by the Annie E. Casey Foundation (October 2008)
Population We are almost always interested in knowledge about a population. We would have little interest in samples if we could always ask everyone.
Unit III Questions 101. A proud legislator claims that your state’s new law against talking on a cell phone while driving has reduced cell phone use to.
Who Needs RDD? Combining Directory Listings with Cell Phone Exchanges for an Alternative Sampling Frame Presented at AAPOR 2008 New Orleans, LA May 16,
Sampling Design Notes Pre-College Math.
Brown, Suter, and Churchill Basic Marketing Research (8 th Edition) © 2014 CENGAGE Learning Basic Marketing Research Customer Insights and Managerial Action.
Confidence Intervals feeling comfortable with error Richard Lambert, Ph.D.
Bias in Surveys MDM4U – Mathematics of Data Management.
Growing Challenges to State Telephone Surveys of Health Insurance Coverage: Minnesota as a Case Study Supported by a grant from the Minnesota Department.
Understanding the Respondent – a Key to Improve our Data Collection Strategies? Seminar on Statistical Data Collection 26 th September 2013 Anton Johansson,
Nonresponse Rates and Nonresponse Bias In Surveys Robert M. Groves University of Michigan and Joint Program in Survey Methodology, USA Emilia Peytcheva.
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.
Copyright 2010, The World Bank Group. All Rights Reserved. Reducing Non-Response Section B 1.
Random Samples 12/5/2013. Readings Chapter 6 Foundations of Statistical Inference (Pollock) (pp )
Surveying Cell Phone Numbers in the United States Synthesis and Future Research Needs Paul J. Lavrakas, Ph.D. DC-AAPOR Workshop September 4, 2008.
Bias in Sampling. Definitions Bias = where the results of the sample are not representative of the population Three sources of Bias in Sampling –Sampling.
SECTION 4.1. INFERENCE The purpose of a sample is to give us information about a larger population. The process of drawing conclusions about a population.
Principles of exp. design Control for effects of lurking variables Randomization to keep personal biases or other preferences out of the study Replication.
11 How Much of Interviewer Variance is Really Nonresponse Error Variance? Brady T. West Michigan Program in Survey Methodology University of Michigan-Ann.
Effects of Sampling and Screening Strategies in an RDD Survey Anthony M. Roman, Elizabeth Eggleston, Charles F. Turner, Susan M. Rogers, Rebecca Crow,
The Use of Random Digit Dialing in Household Surveys: Challenges and Changes Chris Chapman 2008 IES Research Conference Washington, DC June 11, 2008
Response rates and disposition coding PHC 6716 June 8, 2011 Chris McCarty.
Questionnaires and Survey Design. Target population Sampling frame Not included in sampling frame Not eligible for survey Cannot be contacted Refuse to.
5.1: Designing Samples. Important Distinction Observational Study – observe individuals and measure variables but do not attempt to influence the responses.
1 Assessment of Potential Bias in the National Immunization Survey (NIS) from the Increasing Prevalence of Households Without Landline Telephones Meena.
Democracy and Public Opinion  Core beliefs are shared  Political attitudes differ  What is public opinion?  Public opinion is critical to democracy.
Chapter 11 Sample Surveys. How do we gather data? Surveys Opinion polls Interviews Studies –Observational –Retrospective (past) –Prospective (future)
Ten percent of U. S. households contain 5 or more people
1 Survey Nonresponse Survey Research Laboratory University of Illinois at Chicago March 16, 2010.
TOPIC - Page 1 Representativity Indicators for Survey Quality R-indicators and fieldwork monitoring Koen Beullens & Geert Loosveldt K.U.Leuven.
Journalism 614: Non-Response and Cell Phone Adoption Issues.
Strategies for Evaluating Cessation Programs – Improving Response Rates Julie Rainey Marcy Huggins Professional Data Analysts, Inc. Minneapolis PROFESSIONAL.
Methodology Sample of 402 Interviews conducted between August 19-30, 2015 Screening qualifications included West Virginia residency, current voter registration,
Maintaining high response rates – is it worth the effort?
Conversely Mixed Mode in the Swedish Crime Survey Sanna Wallin, researcher The Swedish National Council for Crime Prevention Thank you! It’s very nice.
Sources of Bias 1. Voluntary response 2. Undercoverage 3. Nonresponse
Bias On-Level Statistics.
Journalism 614: Sampling and Non-Response
Inference for Sampling
Nonresponse Bias in a Nationwide Dual-Mode Survey
Campaign Season Belief & Behaviors.
New Mexico Census outreach message/messenger testing survey
New Mexico Census outreach message/messenger testing survey
Presentation transcript:

Journalism 614: Non-Response and Cell Phone Adoption Issues

Nonresponse  Declining contact and cooperation rates –Especially for “gold standard” RDD National Telephone Surveys  Early research suggests the issues are rather small, with little bias on results –Examined by comparing “easy to contact” individuals to “hard to contact” –More systematic version is to compare between standard 5-day and “rigorous” survey

Accelerating Problem  Survey firms reporting increasingly high rates of non-contact and non-cooperation –Americans leading increasingly busy lives –More and more unsolicited calls to home –Sophisticated technologies to avoid calls  Big drop offs in last years –Call screening (I only take known callers) –Cell phones (I pay for minutes during survey)

Hard to Gauge the Effect  Initial work conducted in late 90s  Curtain et al - Low effort “restricted call” design versus high effort “all call” design –See no difference in population estimates  Keeter et al – Two parallel surveys, one using standard 5 day vs. “rigorous” –On average, a two percentage point difference  Seem to suggest that lower response rate does not effect survey quality

Non-response in this Century  Lot has changed in last decade + –More legislative restrictions –More mobile technologies –More VOIP technologies  Re-ran the study and found similar results comparing 5-day and rigorous –5-day – 10 call backs, one refusal conversion –Rigorous – 21 weeks, advance letters, left messages, additional call backs, etc. –Little difference in findings

The Problem of Cell Phones  By 2006, 13% of cell phone only HHs –Increasing 1% every six months –Increasing 2% every six months after 2006  Bias in terms of who is missed is most prominent among young people. –“Serious coverage problem” –“Particular challenge”

Some substantial differences  Big differences between cell and non-cell respondents to a range of questions  Especially for issues that affect younger people, and behaviors such as voting –Register to vote? –Political knowledge? –Media usage?