Roland Toth

Roland Toth

@tothrol.bsky.social

Data scientist and communication researcher (mobile media use) at Weizenbaum Institute, Berlin

146 followers205 following73 posts

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Mixed-Effects Structural Equation Modeling showed that both indicators of quality were more strongly related to mobile vigilance than duration was. This was not due to the perception of control, which was employed as a control variable.

These results imply that researchers should consider assessing quality indicators alongside quantity when measuring mobile media use, unless they are specifically interested in exposure time. The discussion provides suggestions on how to make use of quality indicators in practice.

Using three waves of a longitudinal survey of a representative sample of 1,525 Spanish emerging adults, we examined if duration (screen time) and gratification and situation variety predict mobile vigilance – a cognitive and behavioral connection to the smartphone indicating its relevance in life.

Answer: Yes, they do, the results show that providing event log access leads to reductions in smartphone use frequency and duration for five to six days. In contrast, answering short survey prompts increased both for two to three hours.

Although the effects were weak to moderate, future research should carefully consider using data before these thresholds when using these methods, especially when they are combined.

🚨 Publication alert (JQD:DM): @dougaparry.bsky.social , @mjemmer.bsky.social , and I investigated the daily times, gratifications, and locations of, and activities alongside smartphone and app use in Germany using a combination of surveys, MESM, logging, and data donations 📱. doi.org/10.51685/jqd...

doi.org From Screen Time to Daily Rhythms: A Mixed Methods Study of Smartphone Use Among German Adults | Journal of Quantitative Description: Digital Media

Roland Toth reposted

Roland Toth reposted

No plans for 3pm yet at #ica25? Join us in our @icamobile.bsky.social session featuring great presentations and a discussion on mobile methods and their lack of standardization in research! @rzhprfshr.bsky.social Yifei Lu @dscheykopp.bsky.social @joebayer.bsky.social

ICA Mobile Communication@icamobile.bsky.social

#ICA25 Denver is officially underway! 🎉 Mobile Comm kicks off tomorrow with sessions at 12PM & 3PM — don’t miss talks by @aliciagilbert.bsky.social, @annafreytag.bsky.social, @aliciaernst.bsky.social, @annastockmann.bsky.social, @dougaparry.bsky.social & more! 📱💬

The supp. material includes a working rendition in R code, an example data set with raw Android log data, and the data set that results from applying the code to it. There are also lists that helps identify background processes and app names 📋 - with a script to retrieve them.

This paper is supposed to help researchers handle raw Android log data in a systematic manner and facilitate access to this rich source of information 🔑. Feel free to use and share it. Feedback is very welcome!

This primer first elaborates on the potential of and difficulties when handling raw Android log data 📊. Then, the process of extracting glances, sessions, and episodes of use is described in a hands-on guideline with pseudo-code to follow along 👩‍💻.

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The supp. material includes a working rendition in R code, an example data set with raw Android log data, and the data set that results from applying the code to it. There are also lists that helps identify background processes and app names 📋 - with a script to retrieve them.

This paper is supposed to help researchers handle raw Android log data in a systematic manner and facilitate access to this rich source of information 🔑. Feel free to use and share it. Feedback is very welcome!

This primer first elaborates on the potential of and difficulties when handling raw Android log data 📊. Then, the process of extracting glances, sessions, and episodes of use is described in a hands-on guideline with pseudo-code to follow along 👩‍💻.

Just deleted an e-mail from a predatory journal with the introduction „Dear Dr. Researcher". Not only is „Dr." a lie, but they don't even care enough to use some fetch-last-name mechanism anymore 🥹 #sad #pathetic

Quant people: Do you know any way to perform Multilevel SEM with 3 levels and random intercepts and slopes in R? I know lavaan doesn‘t support this (yet) and I try to avoid getting Mplus just for this…

We are happy to welcome the first research fellow at the Weizenbaum Institute Methods Lab: @dougaparry from @StellenboschUni! We are working on great things together - stay tuned!

🚨🎉 Happy to announce a new publication in @DiePublizistik where I present an app combining three data collection methods. In the short paper, I explain its relevance for the social sciences, its functionality, and its future development. Give it a read! https://doi.org/10.1007/s11616-023-00788-6

doi.orgOne App to Assess Them All - PublizistikSmartphones have become popular tools for data collection in the social sciences due to their high prevalence and mobility. Surveys, experience sampling (ESM) and tracking/logging are among the most used smartphone data-collection methods. However, existing apps are either commercial solutions, require programming skills, collect sensitive data, or do not handle all three methods simultaneously. When two or more data collection methods are used simultaneously, it further burdens both researchers and participants. This paper introduces the app MART (Mobile Assessment Research Tool) that solves these problems and is available for Android and iOS devices. Content and data collection settings can be customized dynamically via a web interface without the need to compile a new version of the app when changes are made. While the logging functionality is only supported on Android devices, data donation via the app Screen Time is requested on iOS devices. MART is already functional, and the source code is open-source and available on GitHub. The necessary long-term revisions for its use in custom projects without reprogramming are currently under development.

Ein kurzes Interview des @JWI_Berlin zum Weizenbaum Panel Data Explorer, den ich im Mai veröffentlicht habe. Er ist ein Beispiel für Open Science, die über die reine Veröffentlichung und Dokumentation von Rohdatensätzen hinausgeht, um Forschung zugänglich zu machen. https://t.co/AgxNCbdp97