Explaining Response Errors of Self-Reported Frequency and Duration of TV Exposure Through Individual and Contextual Factors

Wonneberger, Anke; Irazoqui, Mariana

doi:10.1177/1077699016629372

Cited by 20 publications

(15 citation statements)

References 50 publications

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“…Specifically, concerning the influence of the amount of media use on response accuracy previous research has yielded consistent findings for TV exposure (Wonneberger & Irazoqui, 2017), mobile phone use (Vanden Abeele, Beullens, & Roe, 2013) as well as for internet use (Scharkow, 2016). The general pattern here is that light users have a tendency to over-report while heavy users have a tendency to under-report their use of the medium in question.…”

Section: Discerning Under-and Overreportingsupporting

confidence: 67%

How Much Time Do You Spend Online? Understanding and Improving the Accuracy of Self-Reported Measures of Internet Use

Araujo

Wonneberger

Neijens

et al. 2017

Communication Methods and Measures

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183

149

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How much time do you spend online? Understanding and improving the accuracy of self-reported measures of internet use Araujo, T.B.; Wonneberger, A.; Neijens, P.C.; de Vreese, C.H. : 10.1080/19312458.2017.1317337 Link to publication Published in: Communication Methods and Measures DOI Citation for published version (APA):Araujo, T., Wonneberger, A., Neijens, P., & de Vreese, C. (2017). How much time do you spend online? Understanding and improving the accuracy of self-reported measures of internet use. Communication Methods and Measures, 11(3), 173-190. DOI: 10.1080173-190. DOI: 10. /19312458.2017 General rights It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulationsIf you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: http://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible. Given the importance of survey measures of online media use for communication research, it is crucial to assess and improve their quality, in particular because the increasingly fragmented and ubiquitous usage of internet complicates the accuracy of self-reported measures. This study contributes to the discussion regarding the accuracy of self-reported internet use by presenting relevant factors potentially affecting biases of self-reports and testing survey design strategies to improve accuracy. Combining automatic tracking data and survey data from the same participants (N = 690) confirmed low levels of accuracy and tendencies of over-reporting. The analysis revealed biases due to a range of factors associated with the intensity of (actual) internet usage, propensity to multitask, day of reference, and the usage of mobile devices. An anchoring technique could not be proved to reduce inaccuracies of reporting behavior. Several recommendations for research practice follow from these findings.

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Section: Discerning Under-and Overreportingsupporting

confidence: 67%

How Much Time Do You Spend Online? Understanding and Improving the Accuracy of Self-Reported Measures of Internet Use

Araujo

Wonneberger

Neijens

et al. 2017

Communication Methods and Measures

Self Cite

183

149

View full text Add to dashboard Cite

show abstract

“…However, self‐reports of media consumption can be contaminated by recall errors and social desirability bias. For instance, Guess () finds that people often overstate how much attention they pay to political news, and Wonneberger and Irazoqui () find that viewers are often unable to recall the frequency and duration of their viewing habits. Some studies overcome these issues by relying on objective measures of ethnic media access.…”

Section: Reviewing the Evidence On Ethnic Mediamentioning

confidence: 99%

Tuning In, Not Turning Out: Evaluating the Impact of Ethnic Television on Political Participation

Velez

Newman

2019

American J Political Sci

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Despite the importance of ethnic television within immigrant communities, its effects on political participation are unclear. On the one hand, ethnic media can mobilize and inform voters. On the other hand, it can serve as a source of diversion and reduce the desire to participate. To evaluate these competing possibilities, we implement a geographic regression discontinuity (GRD) approach involving Federal Communication Commission reception boundaries for Spanish‐language television stations in two states. Additionally, we replicate and unpack our GRD analyses using three nationally representative samples of Latinos. Across multiple studies, we find that access to Spanish‐language television is associated with decreases in turnout, ethnic civic participation, and political knowledge. We conclude by discussing the implications of these findings on the ethnic politics, political communication, and social capital literatures.

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“…Studies have shown that media use self-reports have only moderate test-retest reliability (Allen, 1981;Bartels, 1993;Lee, Hornik, & Hennessy, 2008;Scharkow, in prep. ) and rather low accuracy (Scharkow, 2016;Wonneberger & Irazoqui, 2016). With regard to (political) news media use, overreporting is often considered the foremost concern (Price & Zaller, 1993;Prior, 2009b).…”

Section: Sources and Consequences Of Measurement Error In Linkage Anamentioning

confidence: 99%

Some suggestions on dealing with measurement error in linkage analyses

Bachl¹,

Scharkow²

2017

Preprint

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Linkage analysis is a sophisticated media effect research design that reconstructs the likely exposure to relevant media messages of individual survey respondents by complementing the survey data with a content analysis. It is an important improvement over survey-only designs: Instead of predicting some outcome of interest by media use and implicitly assuming what kind of media messages the respondents were exposed to, linkage analysis explicitly takes the media messages into account (de Vreese & Neijens, 2016; Scharkow & Bachl, 2017; Schuck, Vliegenthart, & de Vreese, 2016; Shoemaker & Reese, 1990; Slater, 2016; Valkenburg & Peter, 2013). The design in its modern form has been pioneered by Miller, Goldenberg, and Erbring (1979) and is today considered a “state-of-the art analysis of the impact of specific news consumption” (Fazekas & Larsen, 2015, p. 196). Its widespread use, especially in the field of political communication, and its still increasing popularity demonstrate the relevance of the design. The main advantage of a linkage analysis is the use of one or more message exposure variables which combine information about media use and media content. However, both constitutive sources are often measured with error: Survey respondents are not very good at reporting their media use reliably, and coders will often make some errors when classifying the relevant messages.In this article, we will first give a short overview on the prevalence and consequences of measurement error in both data sources. The arguments are based on a literature review and a simulation study which are published elsewhere in full detail (Scharkow & Bachl, 2017). We continue with a discussion of possible remedies in measurement and data analysis. Beyond the obvious need to improve the measures themselves, we highlight the importance of serious diagnostics of measurement quality. Such information can then be incorporated in the data analysis using estimation or imputation approaches, which are introduced in the main section of this chapter. We conclude by noting that 1) the improvement of measurements and the diagnosis of measurement error in both parts of a linkage analysis must be taken seriously; 2) many tools for correcting measurement error in single parts of a linkage analysis already exist and should be used; 3) methodological research is needed for the development of an integrated analysis workflow which accounts for measurement error and uncertainty in both data sources.

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Explaining Response Errors of Self-Reported Frequency and Duration of TV Exposure Through Individual and Contextual Factors

Cited by 20 publications

References 50 publications

How Much Time Do You Spend Online? Understanding and Improving the Accuracy of Self-Reported Measures of Internet Use

How Much Time Do You Spend Online? Understanding and Improving the Accuracy of Self-Reported Measures of Internet Use

Tuning In, Not Turning Out: Evaluating the Impact of Ethnic Television on Political Participation

Some suggestions on dealing with measurement error in linkage analyses

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