Validity of Adults’ Retrospective Memory for Early Television Viewing

Potts, Richard; Seger, Jeff

doi:10.1080/19312458.2012.760731

Cited by 7 publications

(4 citation statements)

References 78 publications

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“…More research is necessary to identify the processes responsible for the tendency of respondents to converge to average viewing behavior instead of reporting actual, more extreme behavior. While this study focused on problems and possible origins of inaccurate survey measures, further developing and testing survey measures by introducing contextual or population cues (Potts & Seger, 2013; Prior, 2009b), for instance, would be the next logical step toward improving self-reports of media use.…”

Section: Discussionmentioning

confidence: 99%

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

Wonneberger

Irazoqui²

2016

Journalism & Mass Communication Quarterly

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Measures of TV exposure are crucial for many communication studies but possible flaws remain understudied. This study contributes to the discussion about the validity of survey measures of media use by assessing the extent to which people overor underreport their viewing behavior by examining recency effects, and systematic variations in the accuracy of self-reports. Self-reported measures of TV exposure are directly compared with people-meter measures stemming from a single sample and the same time period. The findings reveal tendencies to overreport the frequency of watching and underreport the viewing duration. Response errors relate to sociodemographics and viewing-related characteristics.

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Section: Discussionmentioning

confidence: 99%

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

Wonneberger

Irazoqui²

2016

Journalism & Mass Communication Quarterly

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“…This type of non-habitual or irregular behavior might complicate an accurate recall or estimation of online activities as opposed to more regular behavior that is easier to recall (Schwarz, 1999). Providing contextual cues by asking questions about one's past has been found effective to activate memories of past behavior frequencies and to aid correct estimation (Menon & Yorkston, 2000;Potts & Seger, 2013). Such mechanism of memory activation might also facilitate more accurate recall and estimation of more recent behavior.…”

Section: Factors Influencing Response Accuracymentioning

confidence: 99%

“…If available, population averages can provide useful cues for respondents to accurately estimate the frequency of their own behavior (Burton & Blair, 1991;Prior, 2009a;Schwarz & Oyserman, 2001). Alternatively, cues on individual situations of media use might improve response accuracy (Jerit et al, 2016;Potts & Seger, 2013). The internet is typically used at scattered moments throughout the day and oftentimes for incidental aims, such as checking e-mails or the news.…”

Section: Factors Influencing Response Accuracymentioning

confidence: 99%

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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

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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Lifetime TV Use Influences Racial Prejudice Through Cultivating Implicit Norms: Differed Effects Across Three Life Stages

Yao¹,

McClaran²,

Ellithorpe³

et al. 2023

Communication Reports

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Validity of Adults’ Retrospective Memory for Early Television Viewing

Cited by 7 publications

References 78 publications

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

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

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

Lifetime TV Use Influences Racial Prejudice Through Cultivating Implicit Norms: Differed Effects Across Three Life Stages

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