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Situational Privacy and Self-Disclosure

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Abstract

Measuring individuals’ situational behavior alongside all identified situational factors over a longer period is challenging. This chapter therefore proposes a novel multi-method research design. Traditional survey methods are combined with a specific experience sampling method that allows triggering situational questionnaires right after actual communication situations. These methods are used to test the hypotheses and research questions formulated in Chap. 8. A comprehensive description of the methods used in this study is provided.

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Notes

  1. 1.

    Other forms of EMA include diaries, behavioral observation, self-monitoring, time budget studies, or ambulatory monitoring. For more information on these data collection techniques, see Stone, Shiffman, Atienza, and Nebeling (2007).

  2. 2.

    Eight participants did not own a smartphone. These participants were directly assigned to this first group.

  3. 3.

    See p. 243 for more information on the robust estimation.

  4. 4.

    The application recorded people’s smartphone and application use in log files. More specifically, it recorded when people accessed their smartphone and when they accessed applications. For each application use episode, it recorded the date, time, and type of application that was used.

  5. 5.

    In some cases, movisensXS also allowed me to track what type of activity was performed within a given application. For very rare, yet interesting events such as posting a tweet on Twitter, these specific activity logs were also used.

  6. 6.

    The first questionnaire received the number 1, the second 2, and so on. This variable thus reflected the temporal position of the questionnaire within the study.

  7. 7.

    Using a scaling factor of 1.7 as suggested by Kline (2016) did not yield considerably different results.

  8. 8.

    Due to the hierarchical data structure, the factor structure may differ between participants, which is not accounted for in the simple CFA. To control for such between-person variance, a multilevel CFA was computed in MPlus. However, the results revealed that the factor structure did not vary between participants.

  9. 9.

    Sometimes also called multilevel regression models, random coefficient models, hierarchical linear models, or simply mixed-effect or mixed models (Hox, 2010, p. 11).

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  1. Universität Hohenheim, Stuttgart, Germany

    Philipp K. Masur

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Masur, P.K. (2019). Methods. In: Situational Privacy and Self-Disclosure. Springer, Cham. https://doi.org/10.1007/978-3-319-78884-5_9

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  • DOI: https://doi.org/10.1007/978-3-319-78884-5_9

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