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Archive | 2009

Kauffman Firm Survey (KFS): Third Follow-Up Annotated Questionnaire

Tom Barton; David DesRoches

The Kauffman Firm Survey (KFS) is a panel study of new businesses founded in 2004 and tracked over their early years of operation. The survey focuses on the nature of new business formation activity; characteristics of the strategy, offerings, and employment patterns of new businesses; the nature of the financial and organizational arrangements of these businesses; and the characteristics of their founders. The third follow-up survey covers calendar year 2007.


Archive | 2007

Understanding Web Completion in a Survey of New Businesses (Presentation)

Janice Ballou; Tom Barton; David DesRoches

Surveys of new establishments continue to encounter increased levels of both non-response and costs. Factors contributing to declining participation include the prevalence of sales solicitations new businesses receive, the lack of time available to business principals to complete surveys, and gatekeepers preventing direct access to business principals. The Kauffman Firm Survey, and others, have used multi-mode data collection methods including a self-administered web component to reduce time and cost, as well as to maximize respondent convenience. Understanding how establishments differ by mode of completion will inform future establishment web survey development. This paper will compare differences in industry, size, and complexity among businesses completing the web survey before and after CATI prompting, and those completing a CATI interview.


Archive | 2007

Minimizing Non-Response in a Survey of New Businesses (Presentation)

Tom Barton; David DesRoches

Research surveys of establishments such as new businesses face significant challenges. Cooperation rates are generally lower than household surveys because of lack of interest, lack of time, or confidentiality concerns. The Kauffman Firm Survey (KFS), sponsored by the Ewing Marion Kauffman Foundation, used various techniques to achieve a response rate of 43 percent. The KFS used a multi-mode approach to encourage Web response and reduce telephone interviewing costs. In training telephone interviewers, refusal avoidance was emphasized, including quick response to initial reluctance to participate, and identifying and quickly responding to common reasons for refusal. We also emphasized completing the survey screener quickly to identify eligible businesses, which were about 35 percent of the sample. This paper describes these training methods, outlines other steps to improve response rates, and compares survey results of cases with an initial refusal with results from cases that completed without an initial refusal.


Mathematica Policy Research Reports | 2008

The Kauffman Firm Survey: Results from the Baseline and First Follow-Up Surveys

Janice Ballou; Tom Barton; David DesRoches; Frank Potter; E. J. Reedy; Alicia Robb; Scott Shane; Zhanyun Zhao


Mathematica Policy Research Reports | 2008

Kauffman Firm Survey (KFS) Third Follow Up Methodology Report

David DesRoches; Tom Barton; Frank Potter; Betsy Santos; Zhanyun Zhao


Mathematica Policy Research Reports | 2007

Kauffman Firm Survey (KFS) Baseline Methodology Report

Janice Ballou; Tom Barton; David DesRoches; Frank Potter; Zhanyun Zhao; Betsy Santos; Jaceey Sebastian


Mathematica Policy Research Reports | 2007

Minimizing NonResponse in a Survey of New Businesses

Tom Barton; David DesRoches


Archive | 2009

Kauffman Firm Survey Second Follow-Up Annotated Questionnaire for Public Use File. Princeton, NJ: Mathematica Policy Research

Tom Barton; David DesRoches


Mathematica Policy Research Reports | 2009

Kauffman Firm Survey Second FollowUp Annotated Questionnaire for Public Use File

Tom Barton; David DesRoches


Archive | 2008

Kauffman Firm Survey: Results from the Baseline and First Follow-Up Surveys. Kansas City, MO: Kauffman, The Foundation of Entrepreneurship

Janice Ballou; Tom Barton; David DesRoches; Franklin Potter; E. J. Reedy; Alicia Robb; Scott Shane; Zhanyun Zhao

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David DesRoches

Mathematica Policy Research

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Janice Ballou

Mathematica Policy Research

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Zhanyun Zhao

Mathematica Policy Research

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Frank Potter

Mathematica Policy Research

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Alicia Robb

University of Colorado Boulder

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Betsy Santos

Mathematica Policy Research

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Jaceey Sebastian

Mathematica Policy Research

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Scott Shane

Case Western Reserve University

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