PDAs in socio-economic surveys: instrument bias, surveyor bias or both?

Escobal, Javier; Benites, Sara

doi:10.1080/13645579.2011.648420

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…It becomes a threat to the validity of effect size estimates in correlational research (Crede, 2010) and diminishes the validity and reliability of results from survey research (Summer & Hammonds, 1969). Careless responses may be due to negative attitudes toward surveys (Rogelberg et al, 2001), sensitive items (Begin, Boivin & Bellerose, 1979;Castro, 2013), lengthy surveys (Meade & Craig, 2012), respondent gender (Sriramatr, Berry, Rodgers, & Stolp, 2012;Escobal & Benites, 2013), and poor test instructions (Rousseau & Ennis, 2013;Garcia, 2011). Early detection of careless responses in selfreport questionnaires may reduce error, but as indicated by Meade & Craig (2012), little guidance exists in the literature regarding techniques for detecting such careless or random responses in self-report questionnaires.…”

Section: Introductionmentioning

confidence: 99%

Detecting Careless Responses to Self-Reported Questionnaires

Kountur¹

2016

EJER

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Problem Statement: The use of self-report questionnaires may lead to biases such as careless responses that distort the research outcomes. Early detection of careless responses in self-report questionnaires may reduce error, but little guidance exists in the literature regarding techniques for detecting such careless or random responses in self-report questionnaires. Purpose of the Study:The purpose of this study was to examine whether the respondent"s goodness-of-fit test score (RGF) can be used to indicate careless responses in completing self-report questionnaires. It is hypothesized that there is a significant difference of RGF between careless responses and true responses and that RGF of careless responses is higher than RGF for true responses.Method: An experimental research design that made use of a self-reported questionnaire was conducted with 205 respondents divided into two groups. The first group responded truthfully to the questionnaire while the second group responded carelessly to the questionnaire. The validity and reliability of the questionnaire had been tested. One hundred and eighty five respondents were selected as the group of true responses, while another 20 respondents comprised the group of careless responses. T-test of independent sample was used to evaluate the different RGF among true responses and careless responses. 308Ronny Kountur frequency distribution of true responses tends to be normally distributed while the existence of careless responses creates a skewed distribution to the right. The RGF of careless responses is higher than the RGF of true responses.Conclusion and Recommendations: RGF may be used as an indicator of respondent"s careless responses in self-report questionnaires in which more accurate data are expected. Social science research that makes use of self-report questionnaire in measuring affective domain may compute RGF to determine whether careless responses exist.

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Section: Introductionmentioning

confidence: 99%

Detecting Careless Responses to Self-Reported Questionnaires

Kountur¹

2016

EJER

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“…Further, almost all of the evidence to date relates to laptop-based CAPI. Some studies examine the use of personal digital assistants (PDA; Escobal and Benites 2013; Seebregts et al 2009), but these devices restrict the design complexity and layout due to small screen sizes. A tablet, by contrast, offers a screen size comparable to a laptop but nonetheless has its own challenges associated with the use of a stylus or touch display keyboard for written text.…”

Section: Introductionmentioning

confidence: 99%

Design Matters

Watson

Wilkins

2015

Field Methods

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Computer-assisted personal interviewing (CAPI) offers many attractive benefits over paper-and-pencil interviewing. There is, however, mixed evidence on the impact of CAPI on interview length, an important survey outcome in the context of length limits imposed by survey budgets and concerns over respondent burden. In this article, recent experimental and quasiexperimental evidence derived from a large, nationally representative household panel study is used to investigate CAPI's impact on interview length. We find that effects very much depend on how CAPI is implemented, including the hardware and software adopted, the extent and nature of dependent data, and even interviewer workloads-a finding that helps explain the conflicting results from previous studies. Overall, our study leads us to the conclusion that, absent dependent data, CAPI is likely to increase interview lengths, but the potential reductions from dependent data are very large, such that even modest levels can lead to net reductions in interview lengths.

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