A Note on Nonresponse in a Mail Survey

Mayer, Connie; Pratt, Robert W.

doi:10.1086/267461

Cited by 50 publications

(26 citation statements)

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“…respond early than late. These findings seem to agree with the literature (Mayer and Pratt 1966;Gannon et al 1971;Filion 1975), but this is not true of all demographics investigated. For example, Newman (1962) found respondents of higher socioeconomic status tended to respond earlier, while we find somewhat conflicting results.…”

Section: Comparison Of Early and Late Responderssupporting

confidence: 83%

“…Studies with this goal in mind have a long and rich history in the survey research literature. Some of the many examples include Baur (1947), Newman (1962), Mayer and Pratt (1966), Gannon et al (1971), Filion (1975), and Bates and Creighton (2000). In terms of demographics, these studies have found that early respondents tend to be older (Filion 1975), nonminority (Mayer and Pratt 1966), and female (Gannon et al 1971), and of a higher education level or socioeconomic status (Newman 1962;Mayer and Pratt 1966).…”

Section: Introductionmentioning

confidence: 99%

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Does the Length of Fielding Period Matter? Examining Response Scores of Early Versus Late Responders

Sigman

Lewis

Yount

et al. 2014

Journal of Official Statistics

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This article discusses the potential effects of a shortened fielding period on an employee survey’s item and index scores and respondent demographics. Using data from the U.S. Office of Personnel Management’s 2011 Federal Employee Viewpoint Survey, we investigate whether early responding employees differ from later responding employees. Specifically, we examine differences in item and index scores related to employee engagement and global satisfaction. Our findings show that early responders tend to be less positive, even after adjusting their weights for nonresponse. Agencies vary in their prevalence of late responders, and score differences become magnified as this proportion increases. We also examine the extent to which early versus late responders differ on demographic characteristics such as grade level, supervisory status, gender, tenure with agency, and intention to leave, noting that nonminorities and females are the two demographic characteristics most associated with responding early.

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Section: Comparison Of Early and Late Responderssupporting

confidence: 83%

Section: Introductionmentioning

confidence: 99%

Does the Length of Fielding Period Matter? Examining Response Scores of Early Versus Late Responders

Sigman

Lewis

Yount

et al. 2014

Journal of Official Statistics

View full text Add to dashboard Cite

show abstract

“…Another common difference identified is the level of interest in the survey topic, especially the salience of the topic (Heberlein & Baumgartner, 1978). Respondents are presumed to have more interest in the topic than nonrespondents in mail surveys (Armstrong & Overton, 1977;Baur, 1947;Mayer & Pratt, 1966;Suchman & McCandless, 1940) as well as in Internet-based surveys. Bickart and Schmittlein (1999, p. 287) illustrated that some respondents display a survey-response propensity (an enduring personal characteristic), and nonrespondents may either lack this survey-response propensity or may be suffering from survey-response fatigue.…”

mentioning

confidence: 99%

Unit (non)response in Web-based access panel surveys: An extended planned-behavior approach

Bošnjak¹,

Tuten²,

Wittmann³

2005

Psychol. Mark.

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The decision process when requested to participate in a Web survey is understood most appropriately by applying a psychological theory of human action. Consequently, this study utilized an extended version of Ajzen's theory of planned behavior to predict and explain the number of participations in a five-wave Web-based panel study. Based on this model, the determinants of unit nonresponse in Web-based surveys are one's attitude toward participating in Web surveys, internalized social pressure, perceived behavioral control, and extent of moral obligation toward participating. The results indicate a satisfactory predictive power of the model. Perceived behavioral control and attitude toward participation predict the intention to participate best, followed by internalized social pressure and moral obligation. The theoretical perspective pursued proved to be valuable in terms of its predictive and explanative power as well as its practical value for Web-based survey research.

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“…The objectives of this paper are twofold: first, to present comparable data for telephone surveys within the context of a general population survey; second, because there is considerable evidence that the characteristics of refusers and "not-at-homes" differ (Colombotos, 1962;Mayer and Pratt, 1966;Wilcox, 1977), to isolate the effects of refusals.…”

mentioning

confidence: 99%

Estimating the Nonresponse Bias Due to Refusals in Telephone Surveys

O'Neil

1979

Public Opinion Quarterly

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response rates frequently encountered in survey research threaten the external validity of findings? Because the computation of unbiased sample estimates in probability sampling requires that each element in the population have a known or calculable nonzero probability of selection (Kish, 1965), °,reat caution is usually exercised in the initial selection of a sample. Respondent refusals, however, can have an effect-of unknown magnitude-on sample estimates. One way of dealing with this problem is to try to minimize the nonresponse rate. Although there has been much experimentation with methods and technologies to minimize nonresponse, 1 even successful 1 Extensive reviews of the effectiveness of these techniques for mail surveys were published by Kanuk and Berenson (1975) and Linsky (1975). Both of these articles surveyed existing knowledge of the effectiveness of followups and reminders, preliminary notification, questionnaire length, survey sponsorship, postal options, personalizaAbstract This paper attempts to aid the process of accumulating the necessary information for making more informed judgments about the effects of nonresponse under different conditions. Two measures, which permit quantifiable nonsubjective assessment of the effects of nonresponse on sample estimates, are introduced and are used to examine the effects of respondent refusals in a random-digit-dialed general population telephone survey of over 1,200 households as the response rate is increased from 74.5 percent to 86.8 percent. By applying these measures under a wide range of conditions, the adequacy of various response rates may be assessed and more rational decisions made about the costs and benefits of devoting extraordinary resources to minimizing nonresponse.

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A Note on Nonresponse in a Mail Survey

Cited by 50 publications

References 0 publications

Does the Length of Fielding Period Matter? Examining Response Scores of Early Versus Late Responders

Does the Length of Fielding Period Matter? Examining Response Scores of Early Versus Late Responders

Unit (non)response in Web-based access panel surveys: An extended planned-behavior approach

Estimating the Nonresponse Bias Due to Refusals in Telephone Surveys

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