Understanding Web Completion in a Survey of New Businesses David DesRoches Tom Barton Janice Ballou Third International Conference on Establishment Surveys.

Slides:



Advertisements
Similar presentations
1 Kauffman Firm Survey Tim Davis Entrepreneurship Indicators Project OECD ISTAT-Eurostat-OECD Seminar on Entrepreneurship Indicators Rome, December 6 and.
Advertisements

Meeting the Challenges of Designing the Kauffman Firm Survey: Sampling Frame, Definitions, and Questionnaire Development, and Respondent Burden Janice.
EVAULATION OF THE NSCRG SCHOOL SAMPLE Donsig Jang and Xiaojing Lin Third International Conference on Establishment Surveys Montreal, Canada, June 21, 2007.
Response Rates and Response Patterns among New Businesses: Results from the Kauffman Firm Survey (KFS) Zhanyun Zhao Frank Potter Yuhong Zheng Third International.
Using Advance Diaries in a Telephone Time Use Survey Lisa Schwartz, Lisa Lee, Cathy Haggerty and Diane Herz IATUR October 2002.
SURVEY RESEARCH: BASIC METHODS OF COMMUNICATION WITH RESPONDENTS
Survey Methodology Nonresponse EPID 626 Lecture 6.
Small Business Survey 2012 Focus on New Businesses May 2013.
An example of longitudinal LFS weights
ESS Mixed mode experiment ESRA Conference, Ljubljana, July 2013 Alun 18 July 2013.
7.Implications for Analysis: Parent/Youth Survey Data.
Socioeconomic Status and Smoking in Canada, : Has there been any progress on disparities in tobacco use? Jessica Reid, David Hammond, Pete Driezen.
Building Web Collection Capability for ONS Social Surveys Fiona Dawe and Laura Wilson.
Survey of Earned Doctorates National Science Foundation Division of Science Resources Statistics Mark Fiegener, Ph.D. Presentation to Clemson University.
Quantitative Methods in the Social Sciences (QMSS) Lugano August 2005 Increasing response rates Ineke Stoop SCP.
 Communicating with Consumers About Health Care Value : A Controlled Experiment Judith Hibbard and Jessica Greene, University of Oregon Shoshanna Sofaer.
Survey Designs EDUC 640- Dr. William M. Bauer
1 Using the Web for Surveys of Medical Providers Vasudha Narayanan Presented at Third International Conference on Establishment Surveys June 21, 2007.
EMR 6500: Survey Research Dr. Chris L. S. Coryn Kristin A. Hobson Spring 2013.
1 The Business Register: Introduction and Overview Ronald H. Lee
Validating Self-Reported Education: Results of a Pilot Study Jesse Rothstein Cecilia Rouse Ashley Miller.
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,
A Deeper Understanding of Avery Fitness Center Customers
RTI International is a trade name of Research Triangle Institute 3040 Cornwallis Road ■ P.O. Box ■ Research Triangle Park, North Carolina, USA
Krista Streff MBC Final Project May 14, 2007 Krista Streff MBC Final Project May 14, 2007 How employers can more effectively provide retirement planning.
2014 IT Salary Survey: Executives Research Findings © 2014 Property of UBM Tech; All Rights Reserved.
Sample Design Establishments Surveys Stuart Brown Research, Design & Evaluation January 2013 STATISTICAL INSTITUTE OF JAMAICA.
Nonresponse issues in ICT surveys Vasja Vehovar, Univerza v Ljubljani, FDV Bled, June 5, 2006.
1 Kenneth E. Wallen a,b,c, Adam C. Landon a,b, Gerard T. Kyle a,b,c, Michael A. Schuett a,c, Jeremy Leitz d, & Ken Kurzawski d a Department of Recreation,
ESRD-CAHPS Field Test Beverly Weidmer, M.A. RAND Corporation CAHPS RAND Team.
How Does My Organization Join the Transparency Initiative? June 2013.
Slide 1 Incentives in Surveys with Farmers Third International Conference on Establishment Surveys Montreal, Quebec, Canada June 19, 2007 Slide Kathy Ott.
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.
2001 National Household Travel Survey Kentucky Add-on Ben Pierce Presentation By.
DRAFT - not for publication Nonresponse Bias Analysis in a Survey of Banks Carl Ramirez U.S. Government Accountability Office
Welcome to the IMRF endorsed Long Term Care Outreach and Education Program® Long term care planning solutions provided by ACSIA Partners, LLC.
Georgia: business register data and gender-disaggregated indicators Tengiz Tsekvava Technical Meeting on Measuring Entrepreneurship from Gender Perspective.
1 © 2008 Arbitron Inc. Arbitron Diary Service Offering Respondents a Choice of Survey Mode: Use Patterns of an Internet Response Option in a Mail Survey.
Electronic Questionnaire Collection at Statistics Canada Milana Karaganis Marc St-Denis.
ISTAT - Italian National Institute of Statistics Labour Force Survey Division Unit “Methods for LFS data treatment” European Conference on Quality in Official.
Dependent interviewing on new longitudinal surveys in ONS Roeland Beerten Designing Sources Division.
Copyright © 2008 by Nelson, a division of Thomson Canada Limited Chapter 8 Part 2 Designing Research Studies SURVEY RESEARCH: BASIC METHODS OF COMMUNICATION.
Current Population Survey Sponsor: Bureau of Labor Statistics Collector: Census Bureau Purpose: Monthly Data for Analysis of Labor Market Conditions –CPS.
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.
2010 Division and Section Loyalty Study Executive Summary.
Generating Employment in Microenterprises Christopher Woodruff, University of Warwick Based on joint work with Suresh De Mel and David Mckenzie Workshop.
Studying the transition to college: A new prospective study IMPACTS Supported by National Institute on Alcohol Abuse and Alcoholism Grant 4 R37 AA
Addiction Treatment Workforce Characteristics for California, Arizona, & New Mexico: Implications for Workforce Development NAADAC/CAADAC/NALGAP National.
Best Practices Met Council Household Travel Survey (HTS) May
October 26, 2005 Kauffman Firm Survey Zoltan Acs Kauffman Foundation Scholar-in-Residence
1 Web interviewing at Statistics Netherlands: practices so far Labour Force Survey The Netherlands Björn Janssen Hendrika Lautenbach April 2010.
F UNCTIONAL L IMITATIONS IN C ANCER S URVIVORS A MONG E LDERLY M EDICARE B ENEFICIARIES Prachi P. Chavan, MD, MPH Epidemiology PhD Student Xinhua Yu MD.
© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. State of Network Security.
Pg 1 Mode Effects Measurement and Correction: A Case Study Stas Kolenikov, Courtney Kennedy, Ali Ackermann, and Chintan Turakhia Abt SRBI Michael O. Emerson.
1 Chapter 13 Collecting the Data: Field Procedures and Nonsampling Error © 2005 Thomson/South-Western.
2009 Survey of Disability, Ageing and Carers (SDAC) – emerging data Presentation to Carers NSW Biennial Conference 17 March 2011 Steve Gelsi Assistant.
FDA/FSIS Food Safety Survey Methods Amy Lando, MPP Consumer Studies Team Office of Scientific Analysis and Support Center for Food Safety and Applied Nutrition.
An assessment of the robustness of weights in the Famille et Employeurs survey Nicolas Razafindratsima & Elisabeth Morand.
Restaurant Smoking Policies and Reported Exposure to ETS The case of Massachusetts Tandiwe Njobe National Conference on Tobacco or Health November 2002.
February 26, 2016 Paula M. Santa Assistant Director School Relations & Matching Gifts Point, Set, Match! How awesome are Matching Gifts! SAMPLE IMAGE.
Lessons Learned: The Minnesota Young Adult Alcohol Survey American Evaluation Association Annual Conference October 26, 2012.
Data Collecting Techniques Telephone interviews Traditional telephone interviews involve phoning a sample of respondents and asking them a series.
From ECPs to OCPs: Bridging with Discount Coupons for Pills in Jamaican Pharmacies Presented by Dawn Chin-Quee Funded by: The William and Flora Hewlett.
Using Surveys to Design and Evaluate Watershed Education and Outreach Day 5 Methodologies for Implementing Mailed Surveys Alternatives to Mailed Surveys.
Influencing Mode Choice in a Multi-Mode Survey May 2012 AAPOR Conference Presentation Geraldine Mooney Cheryl De Saw Xiaojing Lin Andrew Hurwitz Flora.
Context for the experiment?
2007 Household Travel Survey
The second wave of the new design of the Dutch EU-SILC: Possibilities and challenges Judit Arends.
Stratification, calibration and reducing attrition rate in the Dutch EU-SILC Judit Arends.
Presentation transcript:

Understanding Web Completion in a Survey of New Businesses David DesRoches Tom Barton Janice Ballou Third International Conference on Establishment Surveys June 19, 2007 Montréal, Québec, Canada David DesRoches Tom Barton Janice Ballou Third International Conference on Establishment Surveys June 19, 2007 Montréal, Québec, Canada

Response issues in new business surveys Declining response rates, especially on CATI-only surveys High refusal rates Higher survey costs Increasing use of mixed mode data collection (including web) Declining response rates, especially on CATI-only surveys High refusal rates Higher survey costs Increasing use of mixed mode data collection (including web)

Maximizing web response Understanding the characteristics of new businesses most and least likely to respond Designing advance materials, messages, and incentives The use of CATI attempts to prompt web completion Understanding the characteristics of new businesses most and least likely to respond Designing advance materials, messages, and incentives The use of CATI attempts to prompt web completion

Kauffman Firm Survey (KFS) Sponsored by the Ewing Marion Kauffman Foundation ( Longitudinal survey of businesses who began operations in 2004 Baseline Survey completed in 2006, annual follow-up surveys planned for three years Sponsored by the Ewing Marion Kauffman Foundation ( Longitudinal survey of businesses who began operations in 2004 Baseline Survey completed in 2006, annual follow-up surveys planned for three years

Sampling Sample selected from Dun & Bradstreet Oversampling on technology status based on BLS definitions (Hadlock, Hecker and Gannon [1991]) Three technology strata: High tech, medium tech, and non tech businesses All high tech businesses in frame selected Sample selected from Dun & Bradstreet Oversampling on technology status based on BLS definitions (Hadlock, Hecker and Gannon [1991]) Three technology strata: High tech, medium tech, and non tech businesses All high tech businesses in frame selected

Survey Design Web/CATI data collection Principals of sampled businesses sent advance letter and reminder postcard “Forced” web approach Web non-responders called one week after reminder postcards sent $50 post-pay incentive Web/CATI data collection Principals of sampled businesses sent advance letter and reminder postcard “Forced” web approach Web non-responders called one week after reminder postcards sent $50 post-pay incentive

Baseline Survey Results 12-month data collection period ending in July 2006 Total sample size = 32,469 A low eligibility rate (35%) due to tight screening on 2004 business start 4,930 interviews completed mainly by CATI (77%), 23% completed by web 49% weighted response rate ~375,000 calls made to complete 3,783 CATI interviews 12-month data collection period ending in July 2006 Total sample size = 32,469 A low eligibility rate (35%) due to tight screening on 2004 business start 4,930 interviews completed mainly by CATI (77%), 23% completed by web 49% weighted response rate ~375,000 calls made to complete 3,783 CATI interviews

Research Questions Are web responders different from those completing by CATI? Within web responders, are those who received prompts different from those not receiving any? Measures include productivity, technology status, business complexity, and demographics of business principals Are web responders different from those completing by CATI? Within web responders, are those who received prompts different from those not receiving any? Measures include productivity, technology status, business complexity, and demographics of business principals

Web vs. CATI: Productivity Web (N = 1,147) CATI (N = 3,783) Total Assets <$15,000 $15,000 - $90,000 $90, % 34% 21% 45% 32% 23% Total Revenue $0 $1 - $40,000 $40, % 36% 29% 36% 31% 29%

Web vs. CATI: Productivity (Continued) Web (N = 1,147) CATI (N = 3,783) Number of employees % 32% 22% 64%* 20% 16% * p-value <.05

Web vs. CATI: Technology Status Web (N = 1,147) CATI (N = 3,783) High Tech 2% Medium Tech 16%*12% Non Tech82%86% * p-value <.05

Web vs. CATI: Business Complexity Web (N = 1,147) CATI (N = 3,783) Intellectual Property17%18% Legal Status of business Sole Proprietorship LLC & S-Corp Corporation 32% 55%* 8% 37% 49% 8% Location of business Home Rented or Leased Purchased * p-value <.05 49% 41% 4% 49% 40% 5%

Web vs. CATI: Demographics of Business Principal Web (N = 1,147) CATI (N = 3,783) Age Gender Female Male 30% 69% 32% 68% Education Bachelor’s or higher Associate’s or lower * p-value <.05 57%* 42% 45% 55%

Web Completes: Productivity Web No Prompt (N = 834) Web Prompt (N = 313) Total Assets <$15,000 $15,000 - $90,000 $90, % 34% 20% 43% 34% 22% Total Revenue $0 $1 - $40,000 $40, % 31% 29% 37% 31% 30%

Web Completes: Productivity (Continued) Web No Prompt (N = 834) Web Prompt (N = 313) Number of employees % 33% 22% 36% 30% 22%

Web completes: Technology Status Web No Prompt (N = 834) Web Prompt (N = 313) High Tech 2% Medium Tech14% 20%* Non Tech84%78% * p-value <.05

Web completes: Business Complexity Web No Prompt (N = 834) Web Prompt (N = 313) Intellectual Property18%17% Legal Status Sole Proprietorship LLC & S-Corp Corporation 33% 54% 8% 30% 58% 9% Location Home Rented or Leased Purchased * p-value <.05 52%* 40% 3% 41% 44% 8%

Web Completes: Demographics of Business Principal Web No Prompt (N = 834) Web Prompt (N = 313) Age4543 Gender Female Male 29% 70% 33% 66% Education Bachelor’s or higher Associate’s or lower 58% 42% 56% 44%

Summary of findings: Web vs. CATI Web responding businesses were more likely to be employers Web responders were more likely to operate in medium tech industries and be organized as an LLC or S-Corp Web respondents tended to be better educated Web responding businesses were more likely to be employers Web responders were more likely to operate in medium tech industries and be organized as an LLC or S-Corp Web respondents tended to be better educated

Summary of findings: Web Completes (Prompt vs. No Prompt) No differences in productivity measures Web respondents prompted by CATI attempts more likely to operate medium tech industries “No prompt” businesses more likely to be home-based No differences in demographic measures of business principals No differences in productivity measures Web respondents prompted by CATI attempts more likely to operate medium tech industries “No prompt” businesses more likely to be home-based No differences in demographic measures of business principals

Implications Advance materials should be developed with better organized businesses in mind CATI prompting leading to Web completion does not tap into significantly different parts of the new business population CATI follow-up captures more non-employer businesses More research needed to classify business technology status by industry Advance materials should be developed with better organized businesses in mind CATI prompting leading to Web completion does not tap into significantly different parts of the new business population CATI follow-up captures more non-employer businesses More research needed to classify business technology status by industry

Final note: First Follow-Up results Of 4,930 businesses completing interview in Baseline, 4,000 completed First Follow-Up addresses collected during Baseline interview 58% web completion, 42% CATI Of 4,930 businesses completing interview in Baseline, 4,000 completed First Follow-Up addresses collected during Baseline interview 58% web completion, 42% CATI

Thanks! Questions and paper requests: Questions and paper requests: