A Quantitative Review of Research Design Effects on Response Rates to Questionnaires

Yu, Julie; Cooper, Harris

doi:10.1177/002224378302000105

Cited by 277 publications

(109 citation statements)

References 104 publications

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“…After removing the questionnaires with incomplete information, we were left with 565 usable questionnaires. This response rate of 14.2% is well within the range of 10−15% suggested for mail-in surveys (Yu and Cooper 1983).…”

Section: Data Collectionsupporting

confidence: 81%

Corporate Diversification, TMT Experience, and Performance

Singh

Gaur

Schmid³

2010

Manag Int Rev

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0We investigate the effect of product diversity and geographic diversity on the performance of sMes, using an integration of the upper echelons literature with the product and geographic diversification literature. 0 We propose an inverted U shaped relationship between product (geographic) diversification (PD/GD) and the performance of SMEs. We also propose that effect of PD and GD is contingent on one another and the TMT experience. 0 We find that both PD and GD have an inverted U shaped relationship with the SME performance. Further, PD and GD interact positively to enhance each other's value in affecting firm performance. TMT experience also enhances the value of PD and GD for firm performance.

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Section: Data Collectionsupporting

confidence: 81%

Corporate Diversification, TMT Experience, and Performance

Singh

Gaur

Schmid³

2010

Manag Int Rev

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“…A total of 123 responses were received after two mailings, giving us a response rate of 18.14%. While the response rate is modest, it is acceptable (Pinsonneault and Kraemer 1993) and is also quite close to the minimum of 20% recommended by some researchers (Yu and Cooper 1983;Grover et al 1996). Of the returned surveys, 110 responses were considered complete and usable.…”

Section: Data Collection and Analysissupporting

confidence: 50%

A socio-technical approach to improving the systems development process

Patnayakuni

Ruppel

2008

Inf Syst Front

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Research on improving the systems development processes has primarily focused on mechanisms such as tools, software development methodologies, knowledge sharing and process capabilities. This research has yielded considerable insights into improving the systems development process, but the large majority of information systems development projects still continue to be over budget, late, and ineffective in meeting user needs. Together with the advent of software development moving offshore, or consisting of offshore team members, a more holistic approach is appropriate. Approached from a socio-technical perspective the software development process is viewed as a process embedded in a social and a technical subsystem. Drawing upon socio-technical work design principles, this paper suggests how capabilities of the development process can be improved. Data collected from a survey of software development practices in organizations indicates that organizations at different levels of process capabilities differ in work system characteristics as well as process performance. For example, the use of multi-skilled teams was found to be significantly related to the systems development process maturity level as well as significantly related to all the performance measures studied. This paper provides empirical support for the socio-technical approach and provides a theoretical foundation for designing software process initiatives in organizations.

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“…First, using different surveys across multiple institutions would confound survey and institutional variation, as survey salience can affect response rates (Groves et al, 2000;Heberlein and Baumgartner, 1978;Kojetin et al, 1993;Van Kenhove et al, 2002). Second, a similar argument can be made when comparing response rates across different methods of survey administration; response rates vary by the number of contacts (Dillman, 2000;Fox, Crask and Kim, 1988;Yammarino, Skinner and Childers, 1991;Yu and Cooper, 1983) and mode such as paper versus web (Cobanoglu, Warde and Moreo, 2001;Shannon and Bradshaw, 2002). Third, having similar samples and survey timing across schools is crucial, because response rates will vary as the sample and timing during the semester varies.…”

Section: Methodology Data and Statistical Approachmentioning

confidence: 99%