ZPID

Emotion regulation, motivation and relationship quality at the beginning of the Covid-19 pandemic in 2020: 4-week experience sampling and 7-month longitudinal study in a healthy sample in a partner relationship

Personality Psychology

Authors(s) / Creator(s)

Zygar-Hoffmann, Caroline
Motka, Franziska
Schönbrodt, Felix D.
Stefan, Angelika
Sckopke, Phillipp
Werner, Gabriela
Cludius, Barbara
Claus, Nathalie

Abstract

The present study was designed with the preliminary aim of using the resulting data set to answer several different research questions relating to emotion regulation and motivational relationship processes (see also pre-registrations at https://osf.io/72ejg/). Participants were eligible if they were in a heterosexual relationship at the time of inclusion in the study. One or both people from the partnership could participate.

Participants completed various validated self-report questionnaires at study inclusion (see below). This was followed by an experience sampling survey over 28 days, during which questions on emotions and emotion regulation, workload/stress, proportion of time alone/with own interests/with others, as well as motivation, behavior, affect and relationship satisfaction were answered three times a day on their own smartphone. In addition, participants were asked to initiate a specific survey on their smartphone in the event of conflicts in the relationship. The experience sampling phase was followed by six monthly follow-up surveys. This resulted in a total survey period per person of 7 months.
Open response format was only offered if none of the given options were applicable (e.g. if emotions were regulated in a different way than standardized).

 

Questionnaires:
- PHQ-9: Depressive symptoms
- DASS: Depressive and anxiety symptoms
- OCI-R: Obsessive-compulsive symptoms
- ISI: Insomnia
- AUDIT: Symptoms of alcohol abuse
- Whiteley Index: Illness anxiety
- WEMWBS: Psychological well-being
- ABC scales: explicit social needs/motives
- CSI: global relationship satisfaction
- ECR: attachment styles
- BFI: Big Five Personality
- SWLS: Life satisfaction
- SBCS: Secure base through the partner


Projective methods:
- PACT: Implicit motives

Data analysis has already been completed for the following topics:

1) The longitudinal data was used to investigate the predictive relationship between sleep and mental health during the corona pandemic (see Werner et al., 2022: https://doi.org/10.1111/jsr.13641).

2) The experience sampling data was used to examine the relationship between the intensity of emotional experience and the likelihood of interpersonal and intrapersonal emotion regulation (ER). The results show that the relationship between emotional intensity and interpersonal ER is stronger than for intrapersonal ER. A correlation with psychopathology (i.e. depressive symptoms before the start of the EMA survey) could not be found. (see Claus et al., 2025: https://doi.org/10.1037/emo0001508)

 

Persistent Identifier

https://doi.org/10.5160/psychdata.znce21em06

Year of Publication

2025

Funding

German Research Foundation; NWO Research Talent Programme

How to cite

Zygar-Hoffmann, C., Motka, F., Schönbrodt, F. D., Stefan, A., Sckopke, P., Werner, G., Cludius, B. & Claus, N. (2025). Emotion regulation, motivation and relationship quality at the beginning of the Covid-19 pandemic in 2020: 4-week experience sampling and 7-month longitudinal study in a healthy sample in a partner relationship (Version 1.0.0) [Data and Documentation]. Trier: Research Data Center at ZPID. https://doi.org/10.5160/psychdata.znce21em06
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Study Description

Research Questions/Hypotheses:

Due to the scope of the study and associated research questions, reference is only made here to those studies whose data analysis has already been completed (see study description). All other hypotheses can be found in the respective preregistrations (https://osf.io/72ejg/).

1) Greater severity of insomnia predicts reduced mental health.

2) Higher emotional intensity is associated with higher likelihood of using interpersonal emotion regulation strategies compared to intrapersonal emotion regulation.
 

Research Design:

Mixed-standardized survey instrument (combination of differently standardized parts); repeated measurements

Baseline (T0): Questionnaire battery
Immediately after T0: Experience sampling survey of 28 days (3x daily)
Immediately after experience sampling phase (T1): Questionnaire battery
Subsequently a total of 5 follow-ups at intervals of 1 month each (T2-T6): Questionnaire battery 

Measurement Instruments/Apparatus:

Participants completed various validated self-report questionnaires at study inclusion (see below). This was followed by an experience sampling survey over 28 days, during which questions on emotions and emotion regulation, workload/stress, proportion of time alone/with own interests/with others, as well as motivation, behavior, affect and relationship satisfaction were answered three times a day on their own smartphone. In addition, participants were asked to initiate a specific survey on their smartphone in the event of conflicts in the relationship. The experience sampling phase was followed by six monthly follow-up surveys. This resulted in a total survey period per person of 7 months.
Open response format was only offered if none of the given options were applicable (e.g. if emotions were regulated in a different way than standardized).

 

Questionnaires:
- PHQ-9: Depressive symptoms
- DASS: Depressive and anxiety symptoms
- OCI-R: Obsessive-compulsive symptoms
- ISI: Insomnia
- AUDIT: Symptoms of alcohol abuse
- Whiteley Index: Illness anxiety
- WEMWBS: Psychological well-being
- ABC scales: explicit social needs/motives
- CSI: global relationship satisfaction
- ECR: attachment styles
- BFI: Big Five Personality
- SWLS: Life satisfaction
- SBCS: Secure base through the partner


Projective methods:
- PACT: Implicit motives

Data Collection Method:

Survey in the absence of an investigator

  • Online survey
  • Other method, namely: via an app on the participant's smartphone
     

Population:

Adult participants who were in a heterosexual partnership at the start of the study (individuals, dyads)
 

Survey Time Period:

2020-04-09 – 2021-01-02  (during the survey period Covid lockdowns in Germany)

Sample:

Convenience Sample

The following information applies to the total sample (N = 267): consists of n = 110 couples, of which both partners took part, and additionally n = 47 participants who took part without a respective partner.

Gender Distribution:

59.93 % female participants
43.07 % male participants

Age Distribution: Range: 18 – 66

Spatial Coverage (Country/Region/City): 

Germany (n=257)/Baden-Württemberg (n = 14), Bavaria (n = 157), Berlin (n = 13), Brandeburg (n = 1), Bremen (n = 4), Hamburg (n = 8), Hesse (n = 5), Mecklenburg-Western Pomerania (n = 5), Lower Saxony (n = 8), North Rhine-Westphalia (n = 20), Rhineland-Palatinate (n = 4), Saarland (n = 9), Saxony (n = 1), Saxony-Anhalt (n = 3), Schleswig-Holstein (n = 5), Thuringia (n = 10)/-

Austria (n=6)/-/-

Qatar (n=2)/-/-

Greece (n=1)/-/-

South Africa (n=1)/-/-

Subject Recruitment:

Participants were recruited from the general population using email distribution lists, online forums, blog posts and notices.
In order to increase motivation to participate, the possibility of individual feedback was offered after completion of the study. In addition, shopping vouchers (worth between €50 and €250) were raffled off, with the chance of winning increasing depending on the completeness of the data (i.e. the more experience sampling data, the more complete the follow-up data, the higher the chance of winning). The chance of winning also increased if both partners took part in the study.

Sample Size:

267 (complete at t0, to which all further information refers)

Return/Drop Out:

N = 267 completed the t0 survey in full (N = 273 incl. incomplete data sets) 
N = 191 provided experience sampling data (according to the exclusion criteria defined in the pre-registration, see https://osf.io/zmw7t)
N = 181 completed the t1 survey in full (N = 183 incl. incomplete data sets) 
N = 174 completed the t2 survey in full (no incomplete data sets)
N = 171 completed the t3 survey in full (no incomplete data sets)
N = 168 completed the t4 survey in full (no incomplete data sets)
N = 167 completed the t5 survey in full (no incomplete data sets)
N = 166 completed the t6 survey in full (N = 167 incl. incomplete data sets) 

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Geplante Startzeit der Befragung (auf NA gesetzt)
-999
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tempId
Eindeutiger Code fuer jede Zeile im Datensatz, die nicht NA ist
-999
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Benennung der Studie
-999
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Benennung des Befragungsskripts (auf NA gesetzt)
-999
4
eventStart
Tatsaechliche Startzeit der Befragung (auf NA gesetzt)
-999
5
eventIndex
Survey- / Befragungsindex
-999
6
eventName
Name der Befragung
{Morning=Erste Befragung am Tag}{Day=Zweite Befragung am Tag}{Evening=Letzte (Abend-)Befragung am Tag}{optional=eigeninitiierte Befragung (event sampling)}{initialSet=einmalige Eingangsbefragung}
-999
7
eventState
Beantwortungsstatus der Befragung
{Error=Nicht beantwortet}{Part=Teilweise beantwortet}{Ok=Vollstaendig beantwortet}
-999
8
eventDuration
Dauer der Beantwortung in Sekunden (Befragung abgeschickt - erster Aufruf)
-999
9
eventBackgroundTime
Gesamtzeit, die die App waehrend der Befragung im Hintergrund war in Sekunden
-999
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Session-ID
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Interesse an Aufnahme im Verteiler, manuell auf NA gesetzt
{1=Ja}{2=Nein}
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Änderung Wohnsituation, manuell auf NA gesetzt
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9
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Umzug, manuell auf NA gesetzt
{1=Ja}{2=Nein}
-999
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0
participant_id
Teilnehmer-Code (abgewandelt)
-999
1
couple_id
Paar-Code (abgewandelt)
-999
2
day_id
Ordinalskalierte Kodierung des Datums über die gesamte Stichprobe hinweg: day_id = 1 ist ein früheres Datum als day_id = 2, aber es ist nicht zwingend der gleiche Abstand an Tagen dazwischen!
-999
3
ping_id
Ordinalskalierte Kodierung der Geplante Startzeit der Befragung über die gesamte Stichprobe hinweg: ping_id = 1 ist ein früherer ping als ping_id = 2, aber es ist nicht zwingend der gleiche Abstand an Zeit dazwischen!
-999
4
eventIndex
Survey- / Befragungsindex
-999
5
eventName
Name der Befragung
{Morning=Erste Befragung am Tag}{Day=Zweite Befragung am Tag}{Evening=Letzte (Abend-)Befragung am Tag}{optional=eigeninitiierte Befragung (event sampling)}{initialSet=einmalige Eingangsbefragung}
-999
6
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Status der Beantwortung
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-999
7
eventDuration
Dauer der Beantwortung in Sekunden (Befragung abgeschickt - erster Aufruf)
-999
8
eventBackgroundTime
Gesamtzeit, die die App während der Befragung im Hintergrund war in Sekunden
-999
9
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Wochentag der Befragung
-999
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Bestätigung Befragung im Browser auszufüllen
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Teilnahme-Bestätigung 1
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Teilnahme-Bestätigung 2
-999
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Teilnahme-Bestätigung 3
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Teilnahme-Bestätigung 4
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automatisch extrahierter Teilnehmer-Code, manuell auf NA gesetzt
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{1=Ja}{2=Nein}
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Kürzel von Kodierer 1 (Klarnamen wurden umkodiert in Kürzel)
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Positive Evaluation (für Bild 1, kodiert durch Kodierer 1)
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-999
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Commitment/Gemeinschaft/Kooperation (für Bild 1, kodiert durch Kodierer 1)
-999
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K1_EMP.b1
Empathie/Altruismus (für Bild 1, kodiert durch Kodierer 1)
-999
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K1_BEG.b1
Persönliche Begegnung/Austausch/Intimität (für Bild 1, kodiert durch Kodierer 1)
-999
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K1_BI.b1
Bindung (für Bild 1, kodiert durch Kodierer 1)
-999
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K1_FE.b1
Furcht vor Einsamkeit (für Bild 1, kodiert durch Kodierer 1)
-999
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Dominanz (für Bild 1, kodiert durch Kodierer 1)
-999
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Hilfe (für Bild 1, kodiert durch Kodierer 1)
-999
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automatisch extrahierter Teilnehmer-Code, manuell auf NA gesetzt
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automatisch extrahierter Teilnehmer-Code, manuell auf NA gesetzt
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Utilized Test Methods

Diener, E., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). The Satisfaction with Life Scale. Journal of Personality Assessment, 49, 71-75.

Ehrenthal, J. C., Dinger, U., Lamla, A., Funken, B., & Schauenburg, H. (2009). Evaluation der deutschsprachigen Version des Bindungsfragebogens „Experiences in Close Relationships–Revised”(ECR-RD). PPmP-Psychotherapie· Psychosomatik· Medizinische Psychologie, 59(06), 215-223. https://doi.org/10.1055/s-2008-1067425

PSYNDEX

Feeney, B. C., & Thrush, R. L. (2010). Relationship influences on exploration in adulthood: the characteristics and function of a secure base. Journal of personality and social psychology, 98(1), 57. https://doi.org/10.1037/a0016961

Funk, J. L., & Rogge, R. D. (2007). Couples Satisfaction Index (CSI). APA PsycTests. https://doi.org/10.1037/t01850-000

Gerber, M., Lang, C., Lemola, S., Colledge, F., Kalak, N., Holsboer-Trachsler, E., Pühse, U., & Brand, S. (2016). Validation of the German version of the insomnia severity index in adolescents, young adults and adult workers: Results from three cross-sectional studies. BMC Psychiatry, 16, 174. https://doi.org/10.1186/s12888-016-0876-8

PSYNDEX

Glöckner-Rist, A., Barenbrügge, J., & Rist, F.(2007). Deutsche Version des Whiteley Index (WI-d). Zusammenstellung sozialwissenschaftlicher Items und Skalen (ZIS). https://doi.org/10.6102/zis221

Gönner, S., Leonhart, R., & Ecker, W. (2008). The Obsessive–Compulsive Inventory-Revised (OCI-R): Validation of the German version in a sample of patients with OCD, anxiety disorders, and depressive disorders. Journal of Anxiety Disorders, 22(4), 734–749. https://doi.org/10/dsb77j

Gräfe, K., Zipfel, S., Herzog, W., & Löwe, B. (2004). Screening psychischer Störungen mit dem “Gesundheitsfragebogen für Patienten (PHQ-D)“. Diagnostica, 50(4), 171–181. https://doi.org/10.1026/0012-1924.50.4.171

PSYNDEX

Hagemeyer, B., & Neyer, F. J. (2012). Assessing implicit motivational orientations in couple relationships: The Partner-Related Agency and Communion Test (PACT). Psychological Assessment, 24 (1), 114–128. https://doi.org/10.1037/a0024822

PSYNDEX

Hagemeyer, B., Neyer, F. J., Neberich, W., & Asendorpf, J. B. (2013). The ABC of Social Desires: Affiliation, being alone, and closeness to partner. European Journal of Personality, 27 (5), 442–457. https://doi.org/10.1002/per.1857

PSYNDEX
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Further Reading

Aldao, A., Nolen-Hoeksema, S., & Schweizer, S. (2010). Emotion-regulation strategies across psychopathology: A meta-analytic review. Clinical psychology review, 30(2), 217-237. https://doi.org/10.1016/j.cpr.2009.11.004

Gross, J. J. (1998). The emerging field of emotion regulation: An integrative review. Review of general psychology, 2(3), 271-299. https://doi.org/10.1037/1089-2680.2.3.271

Hertenstein, E., Feige, B., Gmeiner, T., Kienzler, C., Spiegelhalder, K., Johann, A., ... & Baglioni, C. (2019). Insomnia as a predictor of mental disorders: a systematic review and meta-analysis. Sleep medicine reviews, 43, 96-105. https://doi.org/10.1016/j.smrv.2018.10.006

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Hofmann, S. G. (2014). Interpersonal emotion regulation model of mood and anxiety disorders. Cognitive therapy and research, 38, 483-492. https://doi.org/10.1007/s10608-014-9620-1

Zaki, J., & Williams, W. C. (2013). Interpersonal emotion regulation. Emotion, 13(5), 803. https://doi.org/10.1037/a0033839

Zygar, C., Hagemeyer, B., Pusch, S., & Schönbrodt, F. D. (2018). From motive dispositions to states to outcomes: An intensive experience sampling study on communal motivational dynamics in couples. European Journal of Personality, 32, 306–324. https://doi.org/10.1002/per.2145

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Zygar-Hoffmann, C., Hagemeyer, B., & Schönbrodt, F. D. (2024). The reflection of motive dispositions in everyday agentic motivational states. Motivation Science, 10(4), 379–386. https://doi.org/10.1037/mot0000344

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