Handling Nonresponse In Social Research

Lindner, James R.; Murphy, Tim H.; Briers, Gary E.

doi:10.5032/jae.2001.04043

Cited by 629 publications

(492 citation statements)

References 14 publications

(1 reference statement)

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“…Accounting for both semesters of administration, the total response rate was 87.6% (n = 106). No efforts beyond the initial administration were attempted based on a response rate greater than 85% (Lindner, Murphy, & Briers, 2001). Additionally, because the applied purpose of the data was to inform practice within the given course, an 87.6% response rate was deemed acceptable by the researchers.…”

Section: Methods and Proceduresmentioning

confidence: 99%

Student Engagement in a Team-Based Capstone Course: A Comparison of What Students Do and What Instructors Value

McCubbins¹,

Paulsen²,

Anderson³

2018

Journal of Research in Technical Careers

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Section: Methods and Proceduresmentioning

confidence: 99%

Student Engagement in a Team-Based Capstone Course: A Comparison of What Students Do and What Instructors Value

McCubbins¹,

Paulsen²,

Anderson³

2018

Journal of Research in Technical Careers

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“…Seventy-nine usable questionnaires were returned, representing a 65.83% return rate. An early versus late respondent comparison was made to determine if no responses was a threat to validity of the study [17] . Using this procedure, no statistically significant differences between the groups were found.…”

Section: Methodsmentioning

confidence: 99%

Reorganization of Agricultural Extension toward Green Agriculture

Allahyari¹

2009

American J. of Agricultural and Biological Sciences

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Problem statement: Considering unsustainable agricultural conditions of Iran and organizational recession and inability of current extension organization to achieve sustainability, it seems that extension systems require a new organizational structure to achieve sustainability objectives. The purpose of the present study was to identify the most appropriate characteristics for extension organization toward green agriculture in Iran context. Approach: To fulfill this objective, a sample of 120 respondents was selected through simple random sampling technique. A survey study was applied as a methodology of research. A mailed questionnaire was used to collect the data. The response rate of questionnaire was 65.83% (N = 79). Appropriate descriptive statistics such as mean scores, standard deviations and variation ratio were used. Results: Extension experts believed that among important organizational characteristics of extension system for supporting green agriculture collaboration among research, extension, education organizations, farmers' associations, NGOs, rural credit agencies, transportation companies, considering local groups and learning organization had very high importance for supporting green agriculture. According to factor analysis, the implications for extension organization were categorized into two groups consisting: (1) Holistic organizations (2) Participatory organizations that those factors explained 67.54% of the total variance of the research variables. Conclusion: Identifying suitable extension mechanisms had important role for developing extension system. Therefore, identifying extension organizational characteristics for supporting green agriculture of Iran is one of the major approaches needs to be carefully thought and accurately implemented for the extension system development.

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“…A non-response analysis based on a chi-square test of the socio-demographic variables of our study did not reveal any significant differences between early and late respondents. This indicates the absence of non-response bias (Lindner et al, 2001;Recker & Rosemann, 2010).…”

Section: Data Collection Phasementioning

confidence: 99%

Internet adoption by the elderly: employing IS technology acceptance theories for understanding the age-related digital divide

Niehaves

Plattfaut

2014

European Journal of Information Systems

324

224

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Information technology (IT) allows members of the growing elderly population to remain independent longer. However, while technology becomes more and more pervasive, an age-related underutilisation of IT remains observable. For instance, elderly people (65 years of age and older) are significantly less likely to use the Internet than the average population (see, for instance, European Commission, 2011). This age-related digital divide prevents many elderly people from using IT to enhance their quality of life through tools, such as Internet-based service delivery. Despite the significance of this phenomenon, the information systems (IS) literature lacks a comprehensive consideration and explanation of technology acceptance in general and more specifically, Internet adoption by the elderly. This paper thus studies the intentions of the elderly with regard to Internet use and identifies important influencing factors. Four alternative models based on technology acceptance theory are tested in the context of comprehensive survey data. As a result, a model that explains as much as 84% of the variance in technology adoption among the elderly is developed. We discuss the contribution of our analyses to the research on Internet adoption (and IT adoption in general) by the elderly, on the digital divide, and on technology acceptance and identify potentially effective paths for future research and theoretical development.

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Handling Nonresponse In Social Research

Abstract: This study was

Cited by 629 publications

References 14 publications

Student Engagement in a Team-Based Capstone Course: A Comparison of What Students Do and What Instructors Value

Student Engagement in a Team-Based Capstone Course: A Comparison of What Students Do and What Instructors Value

Reorganization of Agricultural Extension toward Green Agriculture

Internet adoption by the elderly: employing IS technology acceptance theories for understanding the age-related digital divide

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