No Such Effect? The Implications of Measurement Error in Self-Report Measures of Mobile Communication Use
Bibliographic Data
| ID | 12970993 |
|---|---|
| Authors | T Kobayashi (0000-0003-0162-538X, National Institute of Informatics, corresponding author), Jeffrey Boase (Toronto Metropolitan University) |
| Year | 2012 |
| Volume | 6 |
| Issue | 2 |
| Pages | 126-143 |
| Publication date | 2012-04-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Communication Methods and Measures (JOURNAL) |
| Journal identifiers | ISSN: 1931-2458 • E-ISSN: 1931-2466 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/19312458.2012.679243 |
| OpenAlex | W1993622524 |
| Language | EN |
| Citations received | 65 |
| References cited | 31 |
Research on the social and psychological effects of mobile phone communication primarily is conducted using self-report measures of use. However, recent studies have suggested such measures of mobile phone communication use contain a significant amount of measurement error. This study compares the frequency of mobile phone use measured by self-report questions with error-free log data automatically collected through an Android smartphone application. Using data from 310 Android phone users in Japan, we investigate the extent to which nonrandom measurement error exists in self-report responses to questions about mobile phone use and predictors of this error. Our analysis shows that users generally overreport their frequency of mobile communication and that overestimation is better predicted by proxy measures of social activity than demographic variables. We further show an example of how overreporting can result in an overestimation of the effects of mediated communication on civic engagement. Finally, the value of behavioral log data in mediated communication research is discussed
Android (operating system · Internet privacy · Machine learning · Mobile phone · Mobile radio · Mobile telephony · Observational error · Phone · Proxy (statistics · Statistics · Telecommunications · Computer Science · Impact of Technology on Adolescents · Mathematics · Opinion Dynamics and Social Influence · Psychology · Social Media and Politics
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| Unique citing works | 65 |
|---|---|
| Citations per year | 5 |
| Citation span | 2013 - 2026 (14) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 65 |