Personality and social relationship dynamics: Short- and medium-term processes in daily life

Short Description: In two large-scale studies, researchers are investigating short- and medium-term dynamics within and between social relationships. These are the first studies of their kind to take not only quantitative but also qualitative behavioral relationship characteristics into account. Using multivariate analysis methods, they examine the influence of personality characteristics (e.g., extraversion, affiliative motives) on relationship dynamics in connection with social context factors (e.g., social network, population density).

Methodological Details: Study 1 used mobile sensing (MS), experience sampling (ESM), and day reconstruction (DRM) methods to collect data on personality traits and the types and quality of social interactions. The results were used in developing the questionnaires for Study 2. Study 2 examined the behavior of respondents in the SOEP Innovation Sample. Over a period of 14 days, respondents were surveyed by mobile phone on the quantity and quality of their social interactions. Meanwhile, their phone usage behavior was passively recorded through the research app.

Available Papers

Documentation

Publications

  • Krämer, M. D., Roos, Y., Schoedel, R., Wrzus, C., & Richter, D. (2024). Social dynamics and affect: Investigating within-person associations in daily life using experience sampling and mobile sensing. Emotion, 24(3), 878–893. https://doi.org/10.1037/emo0001309

  • Roos, Y., Krämer, M. D., Richter, D., Schoedel, R., & Wrzus, C. (2023). Does your smartphone “know” your social life? A methodological comparison of day reconstruction, experience sampling, and mobile sensing. Advances in Methods and Practices in Psychological Science, 6(3), 1–12. https://doi.org/10.1177/25152459231178738

  • Roos, Y., Krämer, M. D., Richter, D., & Wrzus, C. (2024). Persons in contexts: The role of social networks and social density for the dynamic regulation of face-to-face interactions in daily life. Journal of Personality and Social Psychology, 127(4), 920–935. https://doi.org/10.1037/pspp0000512

Contact

Syear

Respondents

Dataset

Variables

Availability

Field

Method

Replication

Theresa Entringer (DIW Berlin), Michael D. Krämer (DIW Berlin), Cornelia Wrzus (Universität Heidelberg)

2022

300

inno, dips3_calls, dips3_daily, dips3_hourly

i102_4, i102_2, i102_8, im_102, i102_1, i102_5, i102_7, i102_3, i102_6, n_days, weekend, day, n_diary, trig_valence, n_call, trig_partner, photo_app_time, comm_app_time, orientat_app_freq, kids_val, n_voice, visual_app_time, tools_app_freq, mood_content, mood_energetic, n_aware, read_app_freq, photo_app_freq, part_dur_sub, socmed_app_freq, comm_app_freq, coll_dur_obj, coll_val, health_app_time, desire_alone, ep_end, finance_app_time, food_app_time, frie_val, game_app_freq, texts_outgoing_freq, spirit_app_time, weather_app_freq, time_app_freq, dating_app_freq, shutdown, othe_dur_obj, shop_app_freq, finance_app_freq, spirit_app_freq, coll_dur_sub, mood_awake, n_calls, mood_well, frie_dur_obj, ep_dur, news_app_time, tools_app_time, fami_val, know_app_freq, part_val, othe_val, know_app_time, health_app_freq, prop_voice, orientat_app_time, create_app_freq, fami_dur_obj, kids_dur_obj, settings_app_time, dur_calls, career_app_freq, booted, weather_app_time, dating_app_time, internet_app_freq, visual_app_freq, create_app_time, security_app_time, desire_social, mood_calm, security_app_freq, mood_relaxed, audio_app_time, transport_app_time, unique_numbers, fami_dur_sub, audio_app_freq, transport_app_freq, settings_app_freq, part_dur_obj, frie_dur_sub, kids_dur_sub, texts_outgoing_length, food_app_freq, ep_start, read_app_time, shop_app_time, othe_dur_sub, time_app_time, game_app_time, news_app_freq, internet_app_time, socmed_app_time, career_app_time, n_hour

4/2025

Psychology

MS, ESM, DRM