Solving the Problems Cell Phones Create for Survey Research

Similar documents
Sampling. Single and Multi-Mode Surveys. Address-Based Sampling

Evaluating the Effectiveness of Using an Additional Mailing Piece in the American Community Survey 1

Web+Mail as a Mixed-Mode Solution to General Public Survey Challenges in the United States

Dual-Frame Sample Sizes (RDD and Cell) for Future Minnesota Health Access Surveys

Dual-Frame Weights (Landline and Cell) for the 2009 Minnesota Health Access Survey

Survey Questions and Methodology

Survey Questions and Methodology

Segmented or Overlapping Dual Frame Samples in Telephone Surveys

Sample: n=2,252 national adults, age 18 and older, including 1,127 cell phone interviews Interviewing dates:

Smartphone Ownership 2013 Update

Sample: n=2,252 national adults, age 18 and older, including 1,127 cell phone interviews Interviewing dates:

Web Surveys: The Good, The Bad, & The Ugly

Centers for Disease Control and Prevention National Center for Health Statistics

Telephone Survey Response: Effects of Cell Phones in Landline Households

The Rise of the Connected Viewer

2017 NEW JERSEY STATEWIDE SURVEY ON OUR HEALTH AND WELL BEING Methodology Report December 1, 2017

Methods for Incorporating an Undersampled Cell Phone Frame When Weighting a Dual-Frame Telephone Survey

Spring Change Assessment Survey 2010 Final Topline 6/4/10 Data for April 29 May 30, 2010

Telephone Appends. White Paper. September Prepared by

Cost and Productivity Ratios in Dual-Frame RDD Telephone Surveys

REGULATED DOMESTIC ROAMING RESEARCH REPORT 2017

NANOS SURVEY NANOS SURVEY

Our experience in producing the CAWI questionnaire for the survey "Statistical Report on the Careers of Doctorate Holders (CDH)"

Practical Issues in Conducting Cell Phone Polling

506 INTERNATIONAL JOURNAL OF PUBLIC OPINION RESEARCH

REGULATED DOMESTIC ROAMING RESEARCH REPORT 2017

Tracking and Evaluating Changes to Address-Based Sampling Frames over Time

Cell and Landline Phone Usage Patterns among Young Adults and the Potential for Nonresponse Error in RDD Surveys. Draft (do not cite)

Kristine Wiant 1, Joe McMichael 1, Joe Murphy 1 Katie Morton 1, Megan Waggy 1 1

AAPOR 2013 Methodological Briefs: Cell Phones. Howard Speizer, Marcus Berzofsky, Tom Duffy, Jamie Ridenhour (RTI) Tim Sahr (Ohio State University)

WEB SITE PRIVACY POLICY

Innovative Retention Methods in Panel Research: Can Smartphones Improve Long-term Panel Participation?

Thaddeus (Thad) Pennas, FHI360

Summary of the impact of the inclusion of mobile phone numbers into the NSW Population Health Survey in 2012

Are dual-frame surveys necessary in market research?

Traditional and Enhanced Listing for Probability Sampling

U. S. Postal Service National Delivery Planning Standards A Guide for Builders and Developers

The Demographics of Mobile News Habits

CATI MANAGEMENT: Behind the Scenes

CTIA s Wireless Metrics Reports

GALLUP NEWS SERVICE GALLUP POLL SOCIAL SERIES: VALUES AND BELIEFS

Geographic Accuracy of Cell Phone RDD Sample Selected by Area Code versus Wire Center

Cell and Landline Phone Usage Patterns among Young Adults and the Potential for Nonresponse Error in RDD Surveys

American Community Survey Mail Contact Strategy and Research

The Changing Costs of Random Digital Dial Cell Phone and Landline Interviewing

Features of Case Management Systems

INTERNATIONAL TELECOMMUNICATION UNION Telecommunication Development Bureau Telecommunication Statistics and Data Unit

ADA Self-Evaluation. Welcome to the ADA Self-Evaluation Survey

2018 Canadian consumer tech market. Executive summary

Reforming Federal and State Universal Service Mechanisms to Deliver Broadband to Rural Areas

Voters and Mail. 5 Insights to Boost Campaign Impact. A United States Postal Service and American Association of Political Consultants (AAPC) study

CASS Cycle L ( ) Certification: Frequently Asked Questions

Are Advanced Postcards or Letters Better? An Experiment with Advance Mailing Types

AMERICANS USE OF THE U.S. POSTAL SERVICE: AN AARP BULLETIN SURVEY

NCAR & Nextel. Presented by Del Harris Bryan Anderson

2.2 Rationale for Inviting People to Respond by Telephone

ComReg Consumer FVCT Market Research

SH 288 Express Lanes Stated Preference Survey Report. Appendix A: Survey Questionnaire

CATI surveys in a CX environment

Annenberg Public Policy Center Sensitive National Annenberg Election Survey Data 1 Access: Application

Towards a Web-based multimode data collection system for household surveys in Statistics Portugal:

BY Aaron Smith and Kenneth Olmstead

SPRING 2015 PENN STATE POLL

Florida Rural Household Travel Survey Mobile App

Weighting and estimation for the EU-SILC rotational design

Internet Penetration & Usage in Japan ~ from Our Internet Survey

DISCOVERABILITY. How Canadians Find TV Content

THE AP/AOL POLL CONDUCTED BY IPSOS PUBLIC AFFAIRS PROJECT # ONLINE VIDEO STUDY

South Central Power Notification Effectiveness Study. Study conducted by Metrix Matrix

The Effectiveness of Mobile Wireless Service as a Competitive Constraint on Landline Pricing: Was the DOJ Wrong?

Cell phones and Nonsampling Error in the American Time Use Survey

Topline Questionnaire

"In the Moment" Travel Study A GPS Smartphone Application Planning Applications Conference Atlantic City, New Jersey

360 DATA COLLECTION & FEEDBACK REPORTING

Best Practice in Engineering Maintenance. Municipal Engineering Foundation Victoria USA & Canada Study Tour 2016

Broadband coverage in Europe in 2012:

Overview. Network Fault Restoration v

Security Survey Executive Summary October 2008

Outside of Working Hours Not a Burden to US Workers

Telecommunications Malaysia A roundup of indicators and trends

First-Class Versus Pre-Canceled Postage: A Cost/ Benefit Analysis

Fighting Hunger Worldwide. mvam for Nutrition. Kenya Case Study

Expert Group on Telecommunication/ICT Indicators Sub-group on fixed-network coverage indicator/s

Communications Usage Trend Survey in 2005 Compiled

Privacy Notice. Introduction. What is personal data? Date Updated: 2/11/2019

TRAFFIC SAFETY FACTS. Young Drivers Report the Highest Level of Phone Involvement in Crash or Near-Crash Incidences. Research Note

Nebraska State College System Cellular Services Procedures Effective Date June 15, 2012 Updated August 13, 2015

Issues in Info-communications

Telecommunications Customer Satisfaction

11.0 Random Assignment

Landline and Cell Phone Usage Patterns in a Large Urban Setting: Results from the 2008 New York City Community Health Survey

To start, please type the ID number from your invitation letter here, then click Log in.

Connect Minnesota Broadband Mapping Initiative

Mobile Access July 7, 2010 Aaron Smith, Research Specialist.

Using Mixed-Mode Contacts in Client Surveys: Getting More Bang for Your Buck

NCOA Link File Matching Guidelines

Please view notes for further information on later slides

The Mode of Invitation for Web Surveys

SPRING 2014 PENN STATE POLL

australian multi-screen report QUARTER 4, 2011 trends in video viewership beyond conventional television sets

Transcription:

Solving the Problems Cell Phones Create for Survey Research Michael Link, Ph.D. Chief Methodologist Technologies & Survey Research

Random digit dialing (RDD) has served us well so why change? Validity of the estimates produced Landline telephone frame coverage declining significantly & quickly Cell phone-only households Telephone number portability Numbers increasingly not in the geography we think they are Technologies & Survey Research Page 2

20 16 Percentage of U.S. households without landline telephones 15-18% of all households have only wireless telephones 12 8 4 0 1965 1970 1975 1980 1985 1990 1995 2001 2003 2005 2007 2008 Technologies & Survey Research Page 3

Ideally: Include all eligible households All US Households Covered 100% Technologies & Survey Research Page 4

Landline Telephone Frame Residential household coverage with current landline RDD model Covered ~75% Business / not in service / non-residential Technologies & Survey Research Page 5

Participation of residential households with current landline RDD model Landline Telephone Frame Nonrespondents Nonrespondents Nonrespondents Business / not in service / non-residential Technologies & Survey Research Page 6

Two potential alternatives to landline RDD Option 1: Dual frame landline / cell phone sampling: + Option 2: Address based sampling: Technologies & Survey Research Page 7

Option 1: Dual frame landline/cell phone sampling Cell phone numbers can be sampled based on known cell phone exchanges & ported telephone numbers Combine sample of landline exchanges with sample of cell phone exchanges Screen for cell phone-only households -or- Interview all households regardless of frame (no screening) Technologies & Survey Research Page 8

Residential household coverage with dual frame landline/cell phone model Cell Phone Frame Covered ~95% Landline Telephone Frame Technologies & Survey Research Page 9

Participation of residential households with dual frame landline/cell phone model Cell Phone Frame Nonrespondents Nonrespondents Nonrespondents Nonrespondents Landline Telephone Frame Technologies & Survey Research Page 10

Positive aspects of dual frame landline/cell phone sampling approach High coverage rate (~95%) Allows continued use of CATI / complex questionnaires Per unit cost for sample is comparable to RDD Good for quick turn-around studies Facilitates contact with on-the-go respondents who may be difficult to reach at home Technologies & Survey Research Page 11

Negative aspects of dual frame landline/cell phone sampling approach Inefficient frame (many units expired/not in service) Little or no sample frame information (no addresses, names, respondent characteristics, etc.) Numbers not tied to specific geography Costly to conduct cell phone surveys (especially if screening for cell phone only households) Legal constrains on use of autodialers Low response rates No advance mailings Concerns about respondent safety Technologies & Survey Research Page 12

(More) negative aspects of dual frame landline/cell phone sampling approach Lack of universe estimates at sub-national levels for weighting & adjustment Questionable level of cognitive engagement Compensation for potential air-time charges strongly encouraged May require shorter questionnaire length Excludes households with no telephone access Calling windows uncertain if respondent time zone is unknown Technologies & Survey Research Page 13

Option 2: Address Based Sampling (ABS) Sample addresses rather than sample telephone numbers Current frame source: US Postal Service Delivery Sequence File (DSF): All delivery point addresses serviced by USPS Format conforms to USPS addressing standards Available from survey sample vendors Technologies & Survey Research Page 14

Residential household coverage with address based sample model Address Based Frame Covered ~98% Technologies & Survey Research Page 15

Participation of residential household with address based sample model Address Based Frame Nonrespondents Nonrespondents Nonrespondents Nonrespondents Technologies & Survey Research Page 16

Positive aspects of address based sampling approach High coverage rate (~98%) More complete in urban area / less in rural Number of sample indicators available (age, surname, etc.) Accuracy of indicators better than for landline telephone frame Geography is fixed / number portability not a problem Over 60% of addresses can be matched to telephone numbers Reaches cell phone only households & households with no telephone access Technologies & Survey Research Page 17

(More) positive aspects of address based sampling approach Highly efficient frame (few non-residential addresses after screening) Per unit cost for sample is comparable to RDD Improved accuracy and effectiveness of weighting procedures Adjustments based on a broader set of respondents Reduction in the amount of sample required Facilitates multiple channels of data collection Can facilitate cost reductions over RDD depending on design Technologies & Survey Research Page 18

Negative aspects of address based sampling approach Potentially slower turn around / longer field period for unmatched cases Heavier reliance on mail contact than telephone for some sample members Potentially limits complexity & length of questionnaire Can only match addresses to landline telephone numbers Small degree of multiplicity (ex. Households with city- style & PO Box) Drop point units : common address for multiple households (such as trailer park) may not have separate unit numbers Technologies & Survey Research Page 19

What would an address based sampling design look like? Technologies & Survey Research Page 20

Examples of Potential ABS Designs Single mode: Mail survey (all cases) Dual mode: Mail &/or web survey (unmatched) Telephone survey (matched) Multi mode with pre-recruitment: Prerecruit survey Mail &/or web survey (unmatched) Telephone survey (matched) Technologies & Survey Research Page 21

Sample landline telephone numbers Example: Nielsen TV diary RDD design Match to address Yes Prerecruitment Letter Diary placement calls Mail diaries No Diary week Reminder calls Diaries Returned By mail Technologies & Survey Research Page 22

Example: Nielsen TV diary ABS design Sample Residential addresses Match to landline telephone numbers? Yes Prerecruitment letter Diary placement calls Mail diaries No Mail Prerecruitment survey Yes Return telephone numbers? Diary week Reminder calls Can be returned by mail, Web, or toll free number No Mail diaries Diaries Returned by mail Technologies & Survey Research Page 23

What key elements have we learned about ABS so far? Allows us to reach cell phone only households Improves coverage but not necessarily response rate in all cases Facilitates numerous survey designs & use of multiple modes of data collection Key sample indicators on ABS file are more accurate than corresponding indicators on landline frame Depending on design used, can reduce costs over RDD or dual telephone frame approaches Technologies & Survey Research Page 24

Total Participation Rate Response rates are an incomplete indicator of data quality Not necessarily a good indicator of nonresponse bias Does not account for under-coverage in telephone frames Need to view data in terms of total participation: Coverage rate x response rate = total participation rate Example: Coverage x Response = TPR RDD: 75% x 26% = 19.5% Dual frame: Landline 75% x 26% = 19.5% Cell phone* 18% x 20% = 3.6% (LL+CP) (23.1%) ABS: 98% x 25% = 24.5% * Assumes screening for cell phone-only households Technologies & Survey Research Page 25

In conclusion For current studies to survive the basic designs will need to change: Require a re-imagining of how data are collected Means a lot of tough choices need to be made Address based sampling will take us further down the road than a landline + cell phone RDD approach Technologies & Survey Research Page 26

Thank you Technologies & Survey Research Page 27 Copyright Copyright 2007 2008 The The Nielsen Company