0057_ryvkina

CODEBOOK EMOTIONS PROJECT Study 2 Wave 1 (S2W1) https://osf.io/6kzx3/ University of Münster Institute of Psychology Psychological Assessment and Personality Psychology [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] Codebook | EMOTIONS Project – S2W1 | 2 EMOTIONS PROJECT OVERVIEW Study 1 Study 2 Wave 1: S1W1 Wave 2: S1W2 Wave 1: S2W1 Wave 2: S2W2 Wave 1: S1W1 T1 ESM T2 T3 ESM T4 T1 ESM T2 T3 ESM T4 Note. Date format: DD/MM/YYYY, S1W1 = Study 1 Wave 1 (all other study waves are abbreviated analogously). S2W1 TIMELINE Note. ESM report = completed ESM (i.e., state) survey, S2W1 = Study 2 Wave 1. NOTES ON THE DATA SETS The trait data set of S2W1 subsumes trait measures administered in S2W1 only. Thus, each row corresponds to a unique participant. The state data set of S2W1 subsumes state and trait measures administered in S2W1. Thus, data is provided in long format (i.e., with one row of data per ESM report). We excluded data from the trait and state data set in the cases of (a) disagreement with conditions of participation, (b) missing data on all relevant variables, (c) participants under minimum required age, (d) test users, (e) duplicates. Moreover, we applied two additional exclusion criteria uniquely to the state data set, namely (f) incomplete state surveys and (g) state surveys completed too close to each other. For details on data exclusion, please refer to Section 2.4.2 of our data paper (Ryvkina et al., 20221). Moreover, from the trait and state data set shared on OSF, we removed the following variables for the sake of data anonymization: code, gender, gender_specification, age, higher_ed_semester, higher_ed_field. However, except for code, all excluded variables can be explicitly requested. 1 Ryvkina, E., Kroencke, L., Geukes, K., Scharbert, J., & Back, M. D. (2022). Understanding psychological responses to the COVID-19 pandemic through ESM data: The EMOTIONS project [Manuscript in preparation]. Department of Psychology, University of Münster. Codebook | EMOTIONS Project – S2W1 | 3 UNIQUE PERSON IDENTIFIER This number was generated post data collection to identify unique participants. id id number Whole number: 1 – 2515 (trait data set); 1 – 1645 (state data set) ADDITIONAL VARIABLES IN MERGED DATA SETS These variables were added post data collection to the merged data sets from Study 2 (Study2_BothWaves_Traitdata_inclWave1[2]-only and Study2_BothWaves_ESMdata_inclWave1[2]-only). wave Variable included in the merged trait data set and merged state data set, indicating which study wave(s) of Study 1 a participant completed Both; S2W1-only; S2W2-only dataset Variable included in the merged state data set only, indicating in which study wave each row of data (i.e., ESM report) was generated S2W1; S2W2 INITIAL ONLINE SURVEY (T1) INTRODUCTION TO INITIAL ONLINE SURVEY (T1) Variable Name Description German English Liebe Teilnehmerin, lieber Teilnehmer, Herzlich willkommen zur EMOTIONS-C-Studie! Vielen Dank, dass Sie sich dafür entschieden haben teilzunehmen. Wir befinden uns derzeit aufgrund der Ausbreitung des Corona-Virus (Covid-19) in einer herausfordernden gesellschaftlichen Situation. Diese Situation bietet für die Forschung allerdings auch die einmalige Gelegenheit, neue Erkenntnisse über das Verhalten und das emotionale Wohlergehen von Menschen in Krisenzeiten zu gewinnen. Deshalb laden wir Sie herzlich ein, an der EMOTIONS-C-Studie teilzunehmen. Die Studie hat zum Ziel, das menschliche Verhalten und emotionale Befinden während der CoronaPandemie besser zu verstehen. Mit Ihrer Teilnahme ermöglichen Sie wichtige Einblicke in die Ausbreitung des Virus und die damit zusammenhängenden sozialen und emotionalen Konsequenzen. Unser Ziel ist es, mit Ihnen gemeinsam einen wissenschaftlichen Beitrag zur Bewältigung dieser und ähnlicher Krisensituationen zu leisten. Die EMOTIONS-C-Studie besteht aus zwei Teilen: Im ersten Teil der Studie werden Sie gebeten, einen längeren Fragebogen auszufüllen, der einige Einschätzungen zur Corona-Pandemie und zu Ihrer Person abfragt. Im zweiten Teil der Studie werden Sie zwei Wochen lang sechsmal täglich übers Smartphone (Email) gebeten, einen kurzen Fragebogen (ca. 2 Minuten) zu Ihrem emotionalen Befinden und Ihren sozialen Interaktionen auszufüllen. Dear participant, Welcome to the EMOTIONS-C study! Thank you very much for choosing to participate. We are currently in a challenging societal situation due to the coronavirus outbreak (Covid-19). However, this situation also offers a unique opportunity for research to gain new insights into the behavior and emotional well-being in times of crisis. Therefore, we cordially invite you to participate in the EMOTIONS-C study. The study seeks to gain a better understanding of human behavior and emotional well-being during the coronavirus pandemic. With your participation, you enable important insights into the coronavirus outbreak and the associated social and emotional consequences. Our aim is to work with you to make a scientific contribution to the successful management of this and similar crisis situations. The EMOTIONS-C study consists of two parts: In the first part of the study, you will be asked to complete a longer questionnaire that asks you to make some evaluations of the coronavirus pandemic and of yourself as a person. In the second part of the study, you will be asked to complete a short questionnaire (approx. 2 minutes) about your emotional well-being and your social interactions via smartphone (email) six times a day for two weeks. At the end of May, you will receive comprehensive feedback on your behavior and emotional well-being during the coronavirus crisis. We appreciate your interest and your support. Codebook | EMOTIONS Project – S2W1 | 4 Sie werden Ende Mai von uns eine umfassende Rückmeldung zu Ihrem Verhalten und emotionalen Befinden während der Corona-Krise bekommen. Wir freuen uns über Ihr Interesse und Ihre Unterstützung. Ihr EMOTIONS-C-Team Ansprechpartnerin: Lara Kröncke und Prof. Dr. Mitja Back Westfälische Wilhelms-Universität Münster Psychologische Diagnostik und Persönlichkeitspsychologie 0251 - 83 - 3 43 28 [email protected] Your EMOTIONS-C Team Contact person: Lara Kröncke and Prof. Dr. Mitja Back Westfälische Wilhelms-Universität Münster Psychological Assessment and Personality Psychology +49 (0) 251 - 83 - 3 43 28 [email protected] Selbstverständlich unterliegt dieses Projekt strengen Datenschutzrichtlinien. Die Erhebung und Speicherung der Daten erfolgt pseudonymisiert, d. h. nicht in namentlich gekennzeichneter Form. Ein Rückschluss auf einzelne Probanden ist somit nicht möglich. Die vollständig anonymisierten Daten dieser Studie werden in einer sicheren, internetbasierten Datenbibliothek namens Open Science Framework (osf.io) geteilt. Damit folgt diese Studie den Empfehlungen der Deutschen Forschungsgemeinschaft (DFG) und der Deutschen Gesellschaft für Psychologie (DGPs) zur Qualitätssicherung in der Forschung. Dieses Vorgehen dient dazu, den wissenschaftlichen Fortschritt in der psychologischen Forschung zu beschleunigen. Für den Erhebungszeitraum wird die Emailadresse gespeichert und spätestens drei Monate nach Ende des Erhebungszeitraums gelöscht. Bitte machen Sie sich bewusst, dass die Ergebnisse der Studie als wissenschaftliche Publikation veröffentlicht werden können. Dies geschieht in anonymisierter Form, d. h. ohne, dass Daten Ihrer Person zugeordnet werden können. Die Teilnahme an der Studie ist freiwillig. Sie können jederzeit und ohne Angabe von Gründen Ihre Einwilligung zur Teilnahme an dieser Studie widerrufen, ohne dass Ihnen daraus Nachteile entstehen. This project is of course subject to strict data protection guidelines. The collection and storage of data will take place in a pseudonymised way, i.e. not identified by name. It is therefore not possible to trace the data back to single participants. The completely anonymized data from this study will be shared in a secure, internet-based data library called the Open Science Framework (osf.io). In doing so, this study follows the recommendations of the German Research Foundation (DFG) and the German Psychological Association (DGPs) for quality assurance in research. This procedure serves to accelerate scientific progress in psychological research. Your email address will be stored for the period of data collection and deleted no later than three months after the end of the data collection period. Please be aware that the results of the study might be published as a scientific publication. This will be done in an anonymized way, i.e. without being able to attribute the data to you. Participation in this study is voluntary. You can withdraw your consent to participate in this study at any time without incurring any disadvantages and without providing any reasons. consent Ich habe die Teilnahmebedingungen inkl. der Ausführungen zu Anonymität, Verwendung der Daten und Freiwilligkeit gelesen und verstanden und möchte an der EMOTIONS-C-Studie teilnehmen. I have read and understood the conditions of participation, including the statements on anonymity, use of data, and the voluntary nature of participation and would like to participate in the EMOTIONS-Cstudy. 1 (Ich stimme den Teilnahmebedingungen zu.) 1 (I agree to the conditions of participation.) PARTICIPANT CODE The participant code should not be used as a unique participant identifier, because some participants generated the same code. Please use the variable “id” (see above) as a unique participant identifier. Codebook | EMOTIONS Project – S2W1 | 5 code Um Ihre Daten pseudonymisiert abzuspeichern, benötigen wir ein persönliches Codewort. Bitte geben Sie folgende Informationen zur Erstellung Ihres Codeworts ein: Anfangsbuchstabe des Vornamens Ihrer Mutter (z.B. Karin = K) Geburtsmonat Ihrer Mutter als Zahl (z.B. Mai = 05) Letzter Buchstabe Ihres Vornamens (z.B. Stefan = N) Ihr Geburtsmonat als Zahl (z.B. Februar = 02) Letzter Buchstabe Ihres Nachnamens (z.B. Müller = R) In order to store your data pseudonymously, we need a personal code word. Please enter the following information to create your code word: First letter of your mother’s first name (e.g. Karin = K) Your mother’s month of birth as a number (e.g. May = 05) Last letter of your first name (e.g. Stefan = N) Your month of birth as a number (e.g. February = 02) Last letter of your surname (e.g. Müller = R) Buchstaben-Zahlen-Folge: Buchstabe Zahl Buchstabe Zahl Buchstabe Order of letters and numbers: letter number letter number letter SOCIO-DEMOGRAPHIC INFORMATION Items marked with a cross “†” were assessed at t2 only. Zu Beginn der ersten Umfrage bitten wir Sie um ein paar allgemeine soziodemographische Angaben. To begin the first survey, we ask you to provide some general socio-demographic information. gender Geschlecht: Gender: Single Choice: 1 (weiblich); 2 (männlich); 3 (Sonstiges, und zwar:) Select one: 1 (female); 2 (male); 3 (Other, namely:) gender_specification Offenes Antwortformat nach Wahl von gender = 3 (Sonstiges, und zwar:) Open answer format after choosing gender = 3 (Other, namely:) age Alter: Age: Ganzzahl Integer household Wie viele Personen (inkl. Ihnen) leben in Ihrem Haushalt? How many people (including you) live in your household? Ganzzahl Integer educational_status Bitte geben Sie im Folgenden Ihren höchsten erworbenen Bildungsabschluss an: Please indicate the highest educational qualification you have acquired: Single Choice: 1 (kein Abschluss); 2 (Hauptschulabschluss ohne berufliche Ausbildung); 3 (Hauptschulabschluss und berufliche Ausbildung); 4 (Mittlere Reife ohne berufliche Ausbildung); 5 (Mittlere Reife und berufliche Ausbildung); 6 (Fachhochschulreife/Abitur ohne berufliche Ausbildung); 7 (Fachhochschulreife/Abitur und berufliche Ausbildung); 8 (Fachhochschulabschluss); 9 (Hochschulabschluss); 10 (Hochschulabschluss und Promotion) Select one: 1(no certificate); 2 (9th grade school-leaving certificate with no additional vocational training); 3 (9th grade schoolleaving certificate plus vocational training); 4 (10th grade school-leaving certificate with no additional vocational training); 5 (10th grade school-leaving certificate plus vocational training); 6 (general qualification for university entrance with no additional vocational training); 7 (general qualification for universtiy entrance plus vocational training); 8 (university of applied sciences degree); 9 (university degree); 10 (university degree and PhD) occupational_status Bitte geben Sie Ihren aktuellen beruflichen Status an: Please indicate your current occupational status: Single Choice: 1 (in Schulausbildung); 2 (im Studium); 3 (in Berufsausbildung); 4 (im Freiwilligendienst/im freiwilligen Wehrdienst); 5 (in Vollzeitbeschäftigung); 6 (in Teilzeitbeschäftigung); 7 (in selbständiger Beschäftigung); 8 (in Vollzeit-Eltern-, Pflegezeit/Vollzeit Hausfrau/Hausmann); 9 (nicht erwerbstätig/auf Arbeitssuche); 10 (in Rente/in Pension) Select one: 1 (in school); 2 (at university); 3 (in vocational training); 4 (completing voluntary national service/voluntary military service); 5 (full-time employment); 6 (part-time employment); 7 (self-employed); 8 (full-time parental leave/care leave/full-time homemaker); 9 (unemployed/looking for work); 10 (retired) higher_ed Studieren Sie? Are you enrolled in higher education? Single Choice: 1 (ja, an einer Universität); 2 (ja, an einer Fachhochschule); 3 (nein) Select one: 1 (yes, at a university); 2 (yes, at a university of applied sciences); 3 (no) The variables higher_ed_type, higher_ed_semester, higher_ed_field, and sidejob were displayed only if higher_ed = 1 or 2: higher_ed_type Bitte geben Sie die Art des Studiengangs an, in dem Sie eingeschrieben sind: Please indicate the type of degree programme in which you are enrolled: Single Choice: 1 (Bachelor); 2 (Master); 3 (Diplom); 4 (Magister); 5 (Staatsexamen); 6 (Lehramt) Select one: 1 (bachelor); 2 (master); 3 (diploma); 4 (master in the old German system (before Bologna reform)); 5 (state examination); 6 (teacher education) Codebook | EMOTIONS Project – S2W1 | 6 higher_ed_semester Studiensemester: Semester of studies: Ganzzahl Integer higher_ed_field Studienfach: Field of study: Offenes Antwortformat Open answer format sidejob Gehen Sie neben Ihrem Studium einem Nebenjob nach? Do you have a part-time job apart from your university studies? Single Choice: 1 (Ja); 2 (Nein) Select one: 1 (Yes); 2 (No) Bitte geben Sie an, ob Sie die folgenden Sozialpartner haben:† Please indicate whether you have the following social partners:† Single Choice: 1 (Ja); 2 (Nein) Seleect one: 1 (Yes); 2 (No) parents_t2† Eltern: Parents: grandparents_t2† Großeltern: Grandparents: siblings_t2† Geschwister: Siblings: children_t2† Kinder: Children: partner_t2† Partner/in: Partner: relationship_status_t2 † Wie ist Ihr Beziehungsstatus? What is your relationship status? Single Choice: 1 (ledig); 2 (in Partnerschaft); 3 (verheiratet); 4 (geschieden); 5 (verwitwet) Single choice: 1 (single); 2 (in a relationship); 3 (married); 4 (divorced); 5 (widowed) BFI-2-S (Big Five Inventory-2-S) German version: Rammstedt, B., Danner, D., Soto, C. J., & John, O. P. (2020). Validation of the short and extra-short forms of the Big Five Inventory-2 (BFI-2) and their German adaptations. European Journal of Psychological Assessment, 36(1), 149–161. https://doi.org/10.1027/1015-5759/a000481 English version: Soto, C. J., & John, O. P. (2017). Short and extra-short forms of the Big Five Inventory–2: The BFI-2-S and BFI-2XS. Journal of Research in Personality, 68, 69-81. https://doi.org/10.1016/j.jrp.2017.02.004 The BFI-2-S was assessed at T1 and T2. The items that were administered at T2 are labelled with an additional “_t2” suffix. Items marked with an asterisk “*” need to be reverse-coded. Nachstehend finden Sie eine Reihe von Eigenschaften, die auf Sie zutreffen könnten. Würden Sie über sich z.B. sagen, dass Sie gerne Zeit mit anderen Menschen verbringen? Bitte geben Sie für jede der folgenden Aussagen an, inwieweit Sie zustimmen. Here are a number of characteristics that may or may not apply to you. For example, do you agree that you are someone who likes to spend time with others? Please indicate to what extent you agree or disagree with the following statements. Rating-Skala: 1 (Stimme überhaupt nicht zu); 2 (Stimme eher nicht zu); 3 (Teils, teils); 4 (Stimme eher zu); 5 (Stimme voll und ganz zu) Rating scale: 1 (Disagree strongly); 2 (Disagree a little); 3 (Neutral; no opinion); 4 (Agree a little); 5 (Agree strongly) bfi2s_1[_t2]* Ich bin eher ruhig. I am someone who tends to be quiet. bfi2s_2[_t2] Ich bin einfühlsam, warmherzig. I am someone who is compassionate, has a soft heart. bfi2s_3[_t2]* Ich bin eher unordentlich. I am someone who tends to be disorganized. bfi2s_4[_t2] Ich mache mir oft Sorgen. I am someone who worries a lot. bfi2s_5[_t2] Ich kann mich für Kunst, Musik und Literatur begeistern. I am someone who is fascinated by art, music, or literature. bfi2s_6[_t2] Ich neige dazu, die Führung zu übernehmen. I am someone who is dominant, acts as a leader. bfi2s_7[_t2]* Ich bin manchmal unhöflich und schroff. I am someone who is sometimes rude to others. bfi2s_8[_t2]* Ich neige dazu, Aufgaben vor mir herzuschieben. I am someone who has difficulty getting started on tasks. bfi2s_9[_t2] Ich bin oft deprimiert, niedergeschlagen. I am someone who tends to feel depressed, blue. bfi2s_10[_t2]* Mich interessieren abstrakte Überlegungen wenig. I am someone who has little interest in abstract ideas. bfi2s_11[_t2] Ich bin voller Energie und Tatendrang. I am someone who is full of energy. bfi2s_12[_t2] Ich schenke anderen leicht Vertrauen, glaube an das Gute im Menschen. I am someone who assumes the best about people. bfi2s_13[_t2] Ich bin verlässlich, auf mich kann man zählen. I am someone who is reliable, can always be counted on. bfi2s_14[_t2]* Ich bin ausgeglichen, nicht leicht aus der Ruhe zu bringen. I am someone who is emotionally stable, not easily upset. bfi2s_15[_t2] Ich bin originell, entwickle neue Ideen. I am someone who is original, comes up with new ideas. Codebook | EMOTIONS Project – S2W1 | 7 bfi2s_16[_t2] Ich gehe aus mir heraus, bin gesellig. I am someone who is outgoing, sociable. bfi2s_17[_t2]* Andere sind mir eher gleichgültig, egal. I am someone who can be cold and uncaring. bfi2s_18[_t2] Ich mag es sauber und aufgeräumt. I am someone who keeps things neat and tidy. bfi2s_19[_t2]* Ich bleibe auch in stressigen Situationen gelassen. I am someone who is relaxed, handles stress well. bfi2s_20[_t2]* Ich bin nicht sonderlich kunstinteressiert. I am someone who has few artistic interests. bfi2s_21[_t2]* In einer Gruppe überlasse ich lieber anderen die Entscheidung. I am someone who prefers to have others take charge. bfi2s_22[_t2] Ich begegne anderen mit Respekt. I am someone who is respectful, treats others with respect. bfi2s_23[_t2] Ich bleibe an einer Aufgabe dran, bis sie erledigt ist. I am someone who is persistent, works until the task is finished. bfi2s_24[_t2]* Ich bin selbstsicher, mit mir zufrieden. I am someone who feels secure, comfortable with self. bfi2s_25[_t2] Es macht mir Spaß, gründlich über komplexe Dinge nachzudenken und sie zu verstehen. I am someone who is complex, a deep thinker. bfi2s_26[_t2]* Ich bin weniger aktiv und unternehmungslustig als andere. I am someone who is less active than other people. bfi2s_27[_t2]* Ich neige dazu, andere zu kritisieren. I am someone who tends to find fault with others. bfi2s_28[_t2]* Ich bin manchmal ziemlich nachlässig. I am someone who can be somewhat careless. bfi2s_29[_t2] Ich reagiere schnell gereizt oder genervt. I am someone who is temperamental, gets emotional easily. bfi2s_30[_t2]* Ich bin nicht besonders einfallsreich. I am someone who has little creativity. NARQ-S (Narcissistic Admiration and Rivalry Questionnaire Short Scale) German and English version: Back, M. D., Küfner, A. P., Dufner, M., Gerlach, T. M., Rauthmann, J. F., & Denissen, J. A. (2013). Narcissistic admiration and rivalry: Disentangling the bright and dark sides of narcissism. Journal of Personality and Social Psychology, 105(6), 1013–1037. https://doi.org/10.1037/a0034431 For a more recent validation study, see: Leckelt, M., Wetzel, E., Gerlach, T. M., Ackerman, R. A., Miller, J. D., Chopik, W. J., Penke, L., Geukes, K., Küfner, A. C. P., Hutteman, R., Richter, D., Renner, K.-H., Allroggen, M., Brecheen, C., Campbell, W. K., Grossmann, I., & Back, M. D. (2018). Validation of the Narcissistic Admiration and Rivalry Questionnaire Short Scale (NARQ-S) in convenience and representative samples. Psychological Assessment, 30(1), 86–96. https://doi.org/10.1037/pas0000433 The NARQ-S was assessed at T1 and T2. The items that were administered at T2 are labelled with an additional “_t2” suffix. Beurteilen Sie bitte, inwieweit die folgenden Aussagen auf Sie zutreffen. Sie können Ihre Antworten zwischen 1 (Trifft überhaupt nicht zu) und 6 (Trifft vollkommen zu) abstufen. Please indicate how much the following statements apply to you using a response format ranging from 1 (Not agree at all) to 6 (Agree completely). Rating-Skala: 1 (Trifft überhaupt nicht zu); 2 (Trifft nicht zu); 3 (Trifft eher nicht zu); 4 (Trifft eher zu); 5 (Trifft zu); 6 (Trifft vollkommen zu) Rating scale: 1 (Not agree at all); 2 (Not agree); 3 (Rather not agree); 4 (Rather agree); 5 (Agree); 6 (Agree completely)2 narqs_1[_t2] Ich reagiere genervt, wenn eine andere Person mir die Schau stiehlt. I react annoyed if another person steals the show from me. narqs_2[_t2] Ich habe es verdient, als große Persönlichkeit angesehen zu werden. I deserve to be seen as a great personality. narqs_3[_t2] Ich will, dass meine Konkurrenten scheitern. I want my rivals to fail. narqs_4[_t2] Ich ziehe viel Kraft daraus, eine ganz besondere Person zu sein. Being a very special person gives me a lot of strength. narqs_5[_t2] Mit meinen besonderen Beiträgen schaffe ich es, im Mittelpunkt zu stehen. I manage to be the center of attention with my outstanding contributions. narqs_6[_t2] Die meisten Menschen sind ziemliche Versager. Most people are somehow losers. SELF-ESTEEM German version: von Collani, G., & Herzberg, P. Y. (2003). Eine revidierte Fassung der deutschsprachigen Skala zum Selbstwertgefühl von Rosenberg. Zeitschrift für Differentielle und Diagnostische Psychologie, 24(1), 3–7. https://doi.org/10.1024//0170-1789.24.1.3 English version: Rosenberg, M. (1965). Society and the adolescent self-image. Princeton University Press. https://doi.org/10.1515/9781400876136 2 Note that in the original version, only the extreme poles are labelled verbally. In the EMOTIONS project, all response options were labelled verbally due to the requirements of the matrix response format implemented in formr. Codebook | EMOTIONS Project – S2W1 | 8 The single self-esteem item was assessed at t1 and t2. The item administered during the t2 assessmet was labelled with an additional “_t2” suffix. The rating scale was not adopted from the sources given above. It was self-generated to suit the purpose of a one-item measure. Rating-Skala: 0 (Trifft gar nicht zu) – 10 (Trifft voll und ganz zu) Rating scale: 0 (Strongly disagree) – 10 (Strongly agree)3 rses_1[_t2] Alles in allem bin ich mit mir selbst zufrieden. On the whole, I am satisfied with myself. ULS (UCLA LONELINESS SCALE) German version: Luhmann, M., Bohn, J., Holtmann, J., Koch, T. & Eid, M. (2016). I’m lonely, can’t you tell? Convergent validity of selfand informant ratings of loneliness. Journal of Research in Personality, 61, 50–60. https://doi.org/10.1016/j.jrp.2016.02.002 English version: Russell, D., Peplau, L. A., & Cutrona, C. E. (1980). The revised UCLA Loneliness Scale: Concurrent and discriminant validity evidence. Journal of Personality and Social Psychology, 39(3), 472–480. https://doi.org/10.1037/0022-3514.39.3.472 The ULS was assessed at T1 and T2. The items that were administered at T2 are labelled with an additional “_t2” suffix. Items marked with an asterisk “*” need to be reverse-coded. Bitte beantworten Sie nun die folgenden Fragen. Please answer the following questions. Rating-Skala: 1 (Nie); 2 (Selten); 3 (Manchmal); 4 (Oft); 5 (Immer) Rating scale: 1 (Never); 2 (Rarely); 3 (Sometimes); 4 (Often); 5 (Always)4 uls_1[_t2] Wie häufig haben Sie das Gefühl, dass Ihnen Gesellschaft fehlt? How often do you feel that you lack company? uls_2[_t2]* Wie häufig fühlen Sie sich auf einer Wellenlänge mit den Menschen um Sie herum? How often do you feel that you are “in tune” with the people around you? uls_3[_t2]* Wie häufig haben Sie das Gefühl, dass es Menschen gibt, mit denen Sie reden können? How often do you feel that there people you can talk to? uls_4[_t2] Wie häufig fühlen Sie sich ausgeschlossen? How often do you feel left out? uls_5[_t2]* Wie häufig fühlen Sie, dass es Menschen gibt, an die Sie sich wenden können? How often do you feel that there is someone you can turn to? uls_6[_t2]* Wie häufig haben Sie das Gefühl, dass Sie mit den Menschen um Sie herum vieles gemeinsam haben? How often do you feel that you have a lot in common with the people around you? uls_7[_t2]* Wie häufig fühlen Sie sich anderen Menschen nah? How often do you feel close to people? uls_8[_t2] Wie häufig fühlen Sie sich isoliert von anderen Menschen? How often do you feel isolated from others? uls_9[_t2]* Wie häufig haben Sie das Gefühl, zu einer Gruppe von Freunden dazu zu gehören? How often do you feel part of a group of friends? CORONAVIRUS-RELATED RISK ESTIMATIONS The following items were self-generated. Coronavirus-related risk estimations were assessed at T1 and T2. The items that were administered at T2 are labelled with an additional “_t2” suffix. Nun geht es um Ihre Einschätzungen zu und Ihren persönlichen Umgang mit der CoronaKrise. Now it is all about your assessment and personal handling of the coronavirus crisis. Wie hoch schätzen Sie das Risiko des CoronaVirus für sich selbst ein? How high do you estimate the risk of the coronavirus for yourself? Rating-Skala: 1 (Sehr gering) – 6 (Sehr hoch) Rating scale: 1 (Very low) – 6 (Very high) risk_self_health[_t2] Für Ihre Gesundheit For your health risk_self_soclife[_t2] Für Ihr soziales Leben For your social life risk_self_studywork[_t 2] Für Ihren Beruf/Studium For your work/university studies Wie hoch schätzen Sie das Risiko des CoronaVirus für Ihre Familie (Eltern, Großeltern, Geschwister, Kinder) ein? How high do you estimate the risk of the coronavirus for your family (parents, grandparents, siblings, children)? Rating-Skala: 1 (Sehr gering) – 6 (Sehr hoch) Rating scale: 1 (Very low) – 6 (Very high) risk_family_health[_t2 ] Für deren Gesundheit For their health risk_family_soclife[_t2 ] Für deren soziales Leben For their social life 3 Note that in the original version, the rating scale ranges from 0 to 3. 4 Note that in the original version, all items are answered on the following rating scale: 1 (never); 2 (rarely); 3 (sometimes); 4 (always). In the EMOTIONS project, the response option “Oft”/“often” was added to provide an equally spaced rating scale. Codebook | EMOTIONS Project – S2W1 | 9 risk_family_studywork [_t2] Für deren Arbeitsleben/Studium For their working life/university studies Wie hoch schätzen Sie das Risiko des CoronaVirus für Ihr enges persönliches Umfeld (Partner/in, enge Freunde) ein? How high do you estimate the risk of the coronavirus for your close personal environment (partner, close friends)? Rating-Skala: 1 (Sehr gering) – 6 (Sehr hoch) Rating scale: 1 (Very low) – 6 (Very high) risk_closeothers_healt h[_t2] Für deren Gesundheit For their health risk_closeothers_soclif e[_t2] Für deren soziales Leben For their social life risk_closeothers_study work[_t2] Für deren Arbeitsleben/Studium For their work life/studies Wie hoch schätzen Sie das Risiko des CoronaVirus für die Gesellschaft insgesamt ein? How high do you estimate the risk of the coronavirus for the society as a whole? Rating-Skala: 1 (Sehr gering) – 6 (Sehr hoch) Rating scale: 1 (Very low) – 6 (Very high) risk_society_health[_t 2] Für das Gesundheitssystem For the healthcare system risk_society_soclife[_t 2] Für den sozialen Zusammenhalt For social cohesion risk_society_studywor k[_t2] Für die Wirtschaft/Arbeitsleben For the economy/working life risk_society_culture[_t 2] Für das kulturelle Leben For cultural life CORONAVIRUS-RELATED BEHAVIORAL EVALUATIONS AND WORRIES The following items were self-generated. Coronavirus-related behavioral evaluations and worries were assessed at T1 and T2. The items that were administered at T2 are labelled with an additional “_t2”-suffix. Bitte beantworten Sie die folgenden Fragen auf einer Skala von 1 (Stark untertrieben) über 4 (Angemessen) bis 7 (Stark übertrieben). In Bezug auf das Corona-Virus und dessen Eindämmung… Please answer the following questions on a scale from 1 (Way too little) over 4 (Reasonable) to 7 (Way overblown). When it comes to the coronavirus and its containment... Rating-Skala: 1 (Stark untertrieben) – 7 (Stark übertrieben) Rating scale: 1 (Way too little) – 7 (Way overblown) eval_politics[_t2] … ist das Krisenmanagement der Politik: … the government’s crisis management is: eval_panic[_t2] … ist die Panik der Menschen: ... people’s panic is: eval_journalism[_t2] … ist die journalistische Berichterstattung: ... journalistist‘s reporting is: eval_socialmedia[_t2] … ist die Diskussion auf Social Media: … the discussion on social media is: Bitte beantworten Sie die folgenden Fragen auf einer Skala zwischen 1 (Trifft gar nicht zu) und 6 (Trifft voll und ganz zu). In Bezug auf das Corona-Virus und dessen Eindämmung… Please answer the following questions on a scale from 1 (Does not apply at all) to 6 (Applies completely). When it comes to the coronavirus and its containment... Rating-Skala: 1 (Trifft gar nicht zu) – 6 (Trifft voll und ganz zu) Rating scale: 1 (Does not apply at all) – 6 (Appliese completely) eval_self_cautious[_t2 ] … verhalte ich mich umsichtig. … I am acting with caution. eval_self_restrictive[_t 2] … schränke ich mich ein. … I am placing restrictions on myself. eval_self_uncautious[_ t2] ... verhalte ich mich etwas zu unvorsichtig. … I am acting somewhat too uncautiously. eval_self_recommend ations[_t2] … halte ich mich an die empfohlenen Maßnahmen. … I am following the recommended measures. eval_self_irresponsible [_t2] … verhalte ich mich unverantwortlich. … I am acting irresponsibly. In Bezug auf das Corona-Virus und dessen Eindämmung… When it comes to the coronavirus and its containment... Rating-Skala: 1 (Trifft gar nicht zu) – 6 (Trifft voll und ganz zu) Rating scale: 1 (Does not apply at all) – 6 (Applies completely) eval_self_anxious[_t2] … bin ich ängstlich/besorgt. … I am anxious/worried. Codebook | EMOTIONS Project – S2W1 | 16 aber ausfüllen, desto bessere Einsichten können wir gewinnen. Ihr EMOTIONS-C-Team Your EMOTIONS-C Team EXPERIENCE SAMPLING Some items were selected from: IAL (Interpersonal Adjective Scales) Jacobs, I., & Scholl, W. (2005). Interpersonale Adjektivliste (IAL). Diagnostica, 51(3), 145–155. https://doi.org/10.1026/00121924.51.3.145 Wiggins, J. S., Trapnell, P., & Phillips, N. (1988). Psychometric and geometric characteristics of the Revised Interpersonal Adjective Scales (IAS-R). Multivariate Behavioral Research, 23(4), 517–530. https://doi.org/10.1207/s15327906mbr2304_8 PANAS (Positive and Negative Affect Schedule) Krohne, H. W., Egloff, B., Kohlmann, C. W., & Tausch, A. (1996). Untersuchungen mit einer deutschen Version der "Positive and Negative Affect Schedule" (PANAS). Diagnostica, 42(2), 139–156. https://bit.ly/3lILtZZ Röcke, C., & Grühn, D. (2003). German translation of the PANAS-X. Unpublished manuscript. Free University Berlin. Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54(6), 1063–1070. https://doi.org/10.1037/0022-3514.54.6.1063 Affect grid Russell, J. A., Weiss, A., & Mendelsohn, G. A. (1989). Affect grid: A single-item scale of pleasure and arousal. Journal of Personality and Social Psychology, 57(3), 493–502. https://doi.org/10.1037/0022-3514.57.3.493 Other items were self-generated. The response formats were self-generated and may not reflect the original. interaction Ich hatte seit der letzten Erhebung (mindestens) eine soziale Interaktion, die länger als 5 Minuten dauerte. Since the last survey, I (at least) had one social interaction that lasted longer than 5 minutes. Single Choice: 1 (Ja); 2 (Nein) Select one: 1 (Yes); 2 (No) IF INTERACTION Bitte beantworten Sie nun ein paar Fragen zu Ihrer letzten sozialen Interaktion, also zur letzten Situation, die mindestens 5 Minuten gedauert hat und in der Sie mit einer oder mehreren weiteren Personen interagiert haben. Now please answer a few questions about your last social interaction, i.e. the last situation lasting at least 5 minutes in which you interacted with one or more other people. type_interaction Bei welcher Art der Tätigkeit fand die Interaktion statt? During what type of activity did the interaction take place? Single Choice: 1 (berufliche Aufgabe/Erledigung); 2 (private Aufgabe/Erledigung); 3 (Freizeitbeschäftigung) Select one: 1 (job-related task/chore); 2 (private task/chore); 3 (leisure activity) communication Die hier bewertete Interaktion fand folgendermaßen statt: The interaction evaluated here took place as follows: Single Choice: 1 (direkt/im persönlichen Gespräch); 2 (via Telefon/Chat) Select one: 1 (directly/in person); 2 (via phone/chat) no_interactionpartner Wie viele Personen außer Ihnen waren an der Interaktion beteiligt? Bitte geben Sie auch dann 5 an, wenn Sie mit mehr als 5 Personen interagiert haben. Bitte beschränken Sie sich in diesem Fall auch im Folgenden auf die fünf Personen, mit denen Sie am stärksten interagiert haben. How many people other than you were involved in the interaction? Please enter 5 if you interacted with more than 5 people. In this case, please refer below to the five people with whom you interacted the most. Single Choice: 1 – 5 Select one: 1 – 5 Bitte geben Sie nun für jeden der beteiligten Interaktionspartner an, welche Rolle er/sie in Bezug auf Sie selbst hatte. Falls Sie mit mehr als 5 Personen interagiert haben, machen Sie bitte die Angaben für die 5 wichtigsten Personen in der Interaktion. Now, for each of the involved interaction partners, please indicate what role he/she had in relation to you. If you interacted with more than 5 people, please report on the 5 most important people in the interaction. interaction_partner[1, 2, 3, 4, 5]7 Ein/e Interaktionspartner/in in der Situation ist in Bezug auf mich: This interaction partner in the situation has the following relationship to me: 7 Each interaction partner is specified with an individual item suffix, e.g., [2] for the second interaction partner (if applicable) or [3] for the third interaction partner (if applicable). Participants could provide data on (e.g.) interaction_partner3 only if no_interactionpartner ≥ 3. Codebook | EMOTIONS Project – S2W1 | 17 Single Choice: 1 (Vorgesetze/r); 2 (Eigene/r Mitarbeiter/in); 3 (Kollege/in); 4 (Kunde/in Klient/in Patient/in); 5 (Freund/in / Bekannte/r); 6 (Partner/in); 7 (eigenes Kind); 8 (Elternteil); 9 (Geschwister); 10 (sonstige Verwandte); 11 (sonstige Person/en) Select one: 1 (Supervisor); 2 (My employee); 3 (Co-worker); 4 (Customer client patient); 5 (Friend / acquaintance); 6 (Partner); 7 (My child); 8 (Parent); 9 (Sibling); 10 (other relatives); 11 (other persons) Während der Interaktion habe ich folgendes Verhalten gezeigt: Sie können Ihre Antworten zwischen 1 (Trifft gar nicht zu) und 6 (Trifft voll und ganz zu) abstufen. During the interaction, I exhibited the following behavior: You can give a rating between 1 (Does not apply at all) and 6 (Applies completely). Rating-Skala: 1 – 6 Rating scale: 1 – 6 beh_leadership Ich habe die Führung übernommen. I took the lead. beh_criticism Ich habe andere kritisiert. I criticised others. beh_uninvolved Ich habe mich nicht beteiligt. I did not get involved. beh_selfesteem Ich war selbstsicher. I was self-assured. beh_unfriendly Ich war unfreundlich. I was unfriendly. beh_reserved Ich habe mich zurückgezogen. I was reserved. beh_corona Ich habe das Thema Corona-Virus angesprochen. I raised the topic of the coronavirus. beh_help Ich habe anderen geholfen. I helped others. Während der Interaktion habe ich Folgendes wahrgenommen: Sie können Ihre Antworten zwischen 1 (Trifft gar nicht zu) und 6 (Trifft voll und ganz zu) abstufen. During the interaction, I perceived the following: You can give a rating between 1 (Does not apply at all) and 6 (Applies completely). Rating-Skala: 1 – 6 Rating scale: 1 – 6 status_admired Ich wurde bewundert. I was admired. status_criticised Ich wurde kritisiert. I was criticised. status_ignored Ich wurde nicht beachtet. I was ignored. status_respected Ich wurde respektiert. I was respected. status_upstaged Andere haben versucht, mir die Schau zu stehlen. Others tried to steal the show from me. status_sidelined Ich wurde übergangen. I was sidelined. corona_asked Ich wurde auf das Thema Corona-Virus angesprochen. I was asked about the coronavirus. comfort Ich habe von anderen Verständnis und Geborgenheit erfahren. I experienced understanding and a feeling of security from others. Wie haben Sie sich direkt nach der Interaktion gefühlt? Sie können Ihre Antworten zwischen 1 (Trifft gar nicht zu) und 6 (Trifft voll und ganz zu) abstufen. How did you feel immediately after the interaction? You can give a rating between 1 (Does not apply at all) and 6 (Applies completely). Rating-Skala: 1 – 6 Rating scale: 1 – 6 int_proud Stolz Proud int_success Erfolgreich Successful int_superior Überlegen Superior int_angry Verärgert Angry int_excluded Sozial ausgeschlossen Socially excluded int_envious Neidisch Envious int_resentful Missgünstig Resentful int_ashamed Beschämt Ashamed int_insecure Verunsichert Insecure int_enthusiastic Begeistert Enthusiastic int_relaxed Gelassen Relaxed int_anxious Ängstlich Anxious int_sad Traurig Sad int_lonely Einsam Lonely Bitte geben Sie zum Abschluss mit den folgenden Slidern an, wie unzufrieden vs. zufrieden und Finally, please use the following sliders to indicate how dissatisfied vs. satisfied and calm vs. activated you felt overall: Codebook | EMOTIONS Project – S2W1 | 18 ruhig vs. aktiviert Sie sich insgesamt gefühlt haben: int_pleasure unzufrieden vs. zufrieden dissatisfied vs. satisfied Single Choice mittels Slider: 0 – 100 Select one using slider: 0 – 100 int_activity ruhig vs. aktiviert calm vs. activated Single Choice mittels Slider: 0 – 100 Select one using slider: 0 – 100 IF NO INTERACTION Bitte beantworten Sie nun ein paar Fragen zu Ihrer letzten abgeschlossenen Beschäftigung, also zur letzten Situation, die mindestens 5 Minuten gedauert hat und während derer Sie nicht mit anderen interagiert haben. Now please answer a few questions about the last activity you completed, i.e. the last situation lasting at least 5 minutes in which you did not interact with others. type_activity Um welche Art der Beschäftigung ging es? What kind of activity was it? Single Choice: 1 (berufliche Aufgabe/Erledigung); 2 (private Aufgabe/Erledigung); 3 (Freizeitbeschäftigung) Select one: 1 (job-related task/chore); 2 (private task/chore); 3 (leisure activity) digital Die hier bewertete Beschäftigung fand folgendermaßen statt: The acticity evaluated here took place as follows: Single Choice: 1 (am Computer/Laptop/Tablet/Handy); 2 (nicht am Computer/Laptop/Tablet/Handy) Select one: 1 (on the computer/laptop/tablet/cell phone); 2 (not on the computer/laptop/tablet/cell phone) Die Beschäftigung bezog sich auf: The activity related to: corona_research die Recherche zu Corona Researching the coronavirus Single Choice: 1 (Ja); 2 (Nein) Select one: 1 (Yes); 2 (No) corona_reading das Lesen von Nachrichten zu Corona Reading news about the coronavirus Single Choice: 1 (Ja); 2 (Nein) Select one: 1 (Yes); 2 (No) Während der Beschäftigung habe ich Folgendes erlebt: Sie können Ihre Antworten zwischen 1 (Trifft gar nicht zu) und 6 (Trifft voll und ganz zu) abstufen. During the activity, I perceived the following: You can give a rating between 1 (Does not apply at all) and 6 (Applies completely). Rating-Skala: 1 – 6 Rating scale: 1 – 6 pleasant Ich fand die Beschäftigung angenehm. I found the activity pleasant. fun Ich habe Spaß gehabt. I had fun. done Ich habe Aufgaben erledigt, die mir von anderen aufgetragen wurden. I did tasks that others assigned to me. intellectual Ich war intellektuell/geistig angeregt. I was intellectually/mentally stimulated. overwhelmed Ich war überfordert. I was overwhelmed. bored Ich war gelangweilt. I was bored. concentrated Ich war konzentriert. I was concentrated. motivated Ich war motiviert. I was motivated. corona_thinking Ich habe über das Corona-Virus nachgedacht. I thought about the coronavirus. Wie haben Sie sich direkt nach der Beschäftigung gefühlt? Sie können Ihre Antworten zwischen 1 (Trifft gar nicht zu) und 6 (Trifft voll und ganz zu) abstufen. How did you feel immediately after the activity? You can give a rating between 1 (Does not apply at all) and 6 (Applies completely). Rating-Skala: 1 – 6 Rating scale: 1 – 6 occup_proud Stolz Proud occup_success Erfolgreich Successful occup_superior Überlegen Superior occup_angry Verärgert Angry occup_excluded Sozial ausgeschlossen Socially excluded occup_envious Neidisch Envious occup_resentful Missgünstig Resentful occup_ashamed Beschämt Ashamed occup_insecure Verunsichert Insecure occup_enthusiastic Begeistert Enthusiastic Codebook | EMOTIONS Project – S2W1 | 19 occup_relaxed Gelassen Relaxed occup_anxious Ängstlich Anxious occup_sad Traurig Sad occup_lonely Einsam Lonely Bitte geben Sie zum Abschluss mit den folgenden Slidern an, wie unzufrieden vs. zufrieden und ruhig vs. aktiviert Sie sich insgesamt gefühlt haben: Finally, please use the following sliders to indicate how dissatisfied vs. satisfied and calm vs. activated you felt overall: occup_pleasure unzufrieden vs. zufrieden dissatisfied vs. satisfied Single Choice mittels Slider: 0 – 100 Select one using slider: 0 – 100 occup_activity ruhig vs. aktiviert calm vs. activated Single Choice mittels Slider: 0 – 100 Select one using slider: 0 – 100 CORONAVIRUS-RELATED MOMENTARY WORRIES Bitte beantworten Sie die folgenden Fragen auf einer Skala zwischen 1 (Sehr wenig) und 6 (Sehr viel). Ich mache mir wegen der Ausbreitung des Corona-Virus Sorgen um… Please answer the following questions on a scale from 1 (Very little) to 6 (Very much). Due to the coronavirus outbreak, I am worried about... Rating-Skala: 1 (Sehr wenig) – 6 (Sehr viel) Rating scale: 1 (Very little) – 6 (Very much) worry_ownhealth … meine Gesundheit. … my health. worry_ownsoclife … mein soziales Leben. … my social life. worry_ownstudies … mein Studium/meine Arbeit. … my university studies/my work. worry_healthsystem … das Gesundheitssystem in Deutschland. … the healthcare system in Germany. worry_soclife … den sozialen Zusammenhalt in Deutschland. … social cohesion in Germany. worry_economy … die Wirtschaft/das Arbeitsleben in Deutschland. … the economy/working life in Germany. worry_cullife … das kulturelle Leben in Deutschland. … cultural life in Germany. Bitte beantworten Sie die folgenden Fragen auf einer Skala zwischen 1 (Sehr wenig) und 6 (Sehr viel). Falls eine Frage nicht zutrifft, kann diese ausgelassen werden. Ich mache mir wegen der Ausbreitung des Corona-Virus Sorgen um… Please answer the following questions on a scale from 1 (Very little) to 6 (Very much). If a question does not apply, it can be omitted. Due to the coronavirus outbreak, I am worried about... Rating-Skala: 1 (Sehr wenig) – 6 (Sehr viel) Rating scale: 1 (Very little) – 6 (Very much) worry_parentshealth … die Gesundheit meiner Eltern. … my parents’ health. worry_grandparentshe alth … die Gesundheit meiner Großeltern. … my grandparents’ health. worry_siblingshealth … die Gesundheit meiner Geschwister. … my siblings’ health. worry_childrenhealth … die Gesundheit meiner Kinder. … my children’s health. worry_partnerhealth … die Gesundheit meiner Partnerin/meines Partners. … my partner’s health. worry_friendshealth … die Gesundheit meiner engen Freunde. … my close friends’ health. worry_peoplehealth … die Gesundheit meines weiteren sozialen Umfelds (Kommilitonen/innen, sonstige Bekannte). … the health of my wider social environment (fellow university students, other acquaintances) PAUSE BETWEEN EXPERIENCE SAMPLING ASSESSMENTS Vielen Dank für das Ausfüllen dieses letzten Fragebogens. Wir schicken Ihnen eine Email, sobald es weitergeht. Falls der Fragebogen nicht angezeigt wurde, ist dieser bereits abgelaufen. Bitte warten Sie auf die Thank you for completing the final questionnaire. We will send you an email as soon as the study continues. If the questionnaire could not be displayed, it has already expired. Please wait for the next email and load the questionnaire within 35 minutes. Codebook | EMOTIONS Project – S2W1 | 20 nächste Email und rufen Sie den Fragebogen innerhalb von 35 min auf. Ihr EMOTIONS-C-Team Your EMOTIONS-C Team PAUSE UNTIL NEXT DAY Vielen Dank für Ihre Angaben am heutigen Tag. Morgen geht es weiter. Ihr EMOTIONS-C-Team Thank you very much for your information today. The study will continue tomorrow. Your EMOTIONS-C Team PAUSE UNTIL FINAL ONLINE SURVEY (T2) Die Abschlussbefragung wird zu Ihrer angegebenen Startzeit verschickt. Ihr EMOTIONS-C-Team The final survey will be sent at your specified start time. Your EMOTIONS-C Team INVITATION EMAIL TO FINAL ONLINE SURVEY (T2) Guten Tag, bitte füllen Sie den folgenden Fragebogen aus, um die Studie abzuschließen. {{login_link}} Ihr EMOTIONS-C-Team Hello, please complete the following questionnaire to finish the study. {{login_link}} Your EMOTIONS-C Team FINAL ONLINE SURVEY (T2) INTRODUCTION TO FINAL ONLINE SURVEY (T2) Noch einmal herzlichen Dank für Ihre Teilnahme an der EMOTIONS-C-Studie in den letzten beiden Wochen! Zum Abschluss der Studie bitten wir Sie, noch einmal eine Reihe an allgemeinen Fragen zu Ihren Erfahrungen während der Zeit der Ausbreitung des Corona-Virus sowie allgemeine Fragen zu Einstellungen und Selbstbeschreibungen zu beantworten. Bitte beantworten Sie auch all diese Fragen noch einmal mit voller Konzentration. Sie helfen damit, komplette und aussagekräftige Datensätze zu erhalten, die es uns ermöglichen werden, optimale Erkenntnisse zur Ausbreitung des Corona-Virus sowie zu sozialen Interaktionen, Emotionen und der Bewältigung von Krisen im Alltag zu gewinnen. Es gibt hierbei keine richtigen und falschen Antworten, sondern es geht nur um Ihre persönlichen Einschätzungen. Once again, thank you for your participation in the EMOTIONS-C study over the last two weeks! To complete the study, we will ask you to answer a number of general questions about your experiences during the period of the coronavirus outbreak as well as general questions about attitudes and selfdescriptions. Please answer all of these questions as well, once again with full concentration. This will help us to obtain complete and meaningful data sets that will enable us to gain optimal insights into the coronavirus outbreak as well as into social interactions, emotions, and managing crises in everyday life. There are no right or wrong answers, what is of relevance are your personal evaluations. Please find below a list of all scales assessed at T2 after the introduction and before the assessment of the political orientation scale. Their respective items (labelled with an additional “_t2” suffix to signify the time of assessment) can be found in the codebook sections for T2 above. 1. Coronavirus-related risk estimations 2. Coronavirus-related behavioral evaluations and worries 3. Coronavirus-related behavioral changes 4. Coronavirus-related stockpiling 5. Coronavirus-related policy evaluations Codebook | EMOTIONS Project – S2W1 | 21 6. Coronavirus exposure 7. Additional demographic information (marked with a cross“†” at T1) 8. BFI-2-S 9. NARQ-S 10. Self-esteem 11. UCLA Loneliness Scale POLITICAL ORIENTATION German version: Kroh, M. (2007). Measuring left–right political orientation: The choice of response format. Public Opinion Quarterly, 71(2), 204–220. https://doi.org/10.1093/poq/nfm009 political_orientation_t 2 Man spricht in der Politik immer wieder von "links" und "rechts". Wo würden Sie sich selbst auf dem Links-RechtsSpektrum einordnen? In politics you often speak of "left" and "right". Where would you place yourself on the left-right spectrum? Rating-Skala:1 (Links) – 11 (Rechts) Rating scale: 1 (Left) – 11 (Right) CMQ (CONSPIRACY MENTALITY QUESTIONNAIRE) German and English version: Bruder, M., Haffke, P., Neave, N., Nouripanah, N., & Imhoff, R. (2013). Measuring individual differences in generic beliefs in conspiracy theories across cultures: Conspiracy Mentality Questionnaire. Frontiers in Psychology, 4, 1–15. https://doi.org/10.3389/fpsyg.2013.00225 Bitte geben Sie an, für wie wahrscheinlich Sie die folgenden Aussagen halten. Please indicate how likely you think the following statements are. Ich denke…. I think... Rating-Skala: 1 (Äußerst unwahrscheinlich) – 11 (Äußerst wahrscheinlich) Rating scale: 1 (Extremely unlikely) – 11 (Extremely likely)8 cmq_1_t2 Es geschehen viele sehr wichtige Dinge in der Welt, über die die Öffentlichkeit nie informiert wird. I think that many very important things happen in the world, which the public is never informed about. cmq_2_t2 Politiker geben uns normalerweise keine Auskunft über die wahren Motive ihrer Entscheidungen. I think that politicians usually do not tell us the true motives for their decisions. cmq_3_t2 Regierungsbehörden überwachen alle Bürger genau. I think that government agencies closely monitor all citizens. cmq_4_t2 Ereignisse, die auf den ersten Blick nicht miteinander in Verbindung zu stehen scheinen, sind oft das Ergebnis geheimer Aktivitäten. I think that events which superficially seem to lack a connection are often the result of secret activities. cmq_5_t2 Es gibt geheime Organisationen, die großen Einfluss auf politische Entscheidungen haben. I think that there are secret organizations that greatly influence political decisions. HONESTY-HUMILITY Subscale from the HEXACO-60: German and English version: Ashton, M. C., & Lee, K. (2009). The HEXACO-60: A short measure of the major dimensions of personality. Journal of Personality Assessment, 91(4), 340–345. https://doi.org/10.1080/00223890902935878 Items marked with an asterisk “*” need to be reverse-coded. Bitte geben Sie an, inwieweit Sie zustimmen. Please answer to how much you agree or disagree with the following statements. Rating-Skala: 1 (starke Ablehnung); 2 (Ablehnung); 3 (neutral); 4 (Zustimmung); 5 (starke Zustimmung) Rating scale: 1 (strongly disagree); 2 (disagree); 3 (neutral); 4 (agree); 5 (strongly agree) hex60_1_t2 Ich würde keine Schmeicheleien benutzen, um eine Gehaltserhöhung zu bekommen oder befördert zu werden, auch wenn ich wüsste, dass es erfolgreich wäre. I wouldn't use flattery to get a raise or promotion at work, even if I thought it would succeed. hex60_2_t2* Wenn ich wüsste, dass ich niemals erwischt werde, wäre ich bereit, eine Million zu stehlen. If I knew that I could never get caught, I would be willing to steal a million dollars. hex60_3_t2 Viel Geld zu haben ist nicht besonders wichtig für mich. Having a lot of money is not especially important to me. 8 Note that in the original version, all items are answered on the following rating scale: 0 % (sicher nicht/certainly not); 10% (äußerst unwahrscheinlich/extremely unlikely); 20% (sehr unwahrscheinlich/very unlikely); 30% (unwahrscheinlich/unlikely); 40% (eher unwahrscheinlich/somewhat unlikely); 50% (unentschieden/undecided); 60% (eher wahrscheinlich/somewhat likely); 70% (wahrscheinlich/likely); 80% (sehr wahrscheinlich/very likely); 90% (äußerst wahrscheinlich/extremely likely); 100% (sicher/certain). Codebook | EMOTIONS Project – S2W1 | 22 hex60_4_t2* Ich denke, dass ich mehr Respekt verdiene als ein durchschnittlicher Mensch. I think that I am entitled to more respect than the average person is. hex60_5_t2* Wenn ich von jemandem etwas will, lache ich auch noch über dessen schlechteste Witze. If I want something from someone, I will laugh at that person's worst jokes. hex60_6_t2 Ich würde niemals Bestechungsgeld annehmen, auch wenn es sehr viel wäre. I would never accept a bribe, even if it were very large. hex60_7_t2* Es würde mir viel Freude bereiten, teure Luxusgüter zu besitzen. I would get a lot of pleasure from owning expensive luxury goods. hex60_8_t2* Ich will, dass alle wissen, dass ich eine wichtige angesehene Person bin. I want people to know that I am an important person of high status. hex60_9_t2 Ich würde nicht vortäuschen, jemanden zu mögen, nur um diese Person dazu zu bringen, mir Gefälligkeiten zu erweisen. I wouldn’t pretend to like someone just to get that person to do favors for me. hex60_10_t2* Ich würde in die Versuchung geraten, Falschgeld zu benutzen, wenn ich sicher sein könnte, damit durchzukommen. I’d be tempted to use counterfeit money, if I were sure I could get away with it. END OF FINAL ONLINE SURVEY (T2) Vielen Dank für das Ausfüllen des letzten Fragebogens und für Ihre erfolgreiche Teilnahme an der EMOTIONS-C-Studie! Aufgrund der hohen Nachfrage und der fortlaufenden Entwicklung der Corona-Pandemie haben wir uns dazu entschlossen, die Studie auch über die zwei Wochen hinweg weiterzuführen. Wir werden Sie hierzu in den nächsten Tagen per Email einladen. Wir würden uns sehr freuen, wenn möglichst viele von Ihnen diese Möglichkeit wahrnehmen. Außerdem werden wir Ihnen Ende Mai eine umfassende und individuelle Rückmeldung zu Ihrem emotionalen Empfinden im sozialen Alltag während der Corona-Krise zusenden. Bei Fragen wenden Sie sich gerne an folgende Mail-Adresse: [email protected] Thank you for completing the last questionnaire and for your successful participation in the EMOTIONSC study! We will send you comprehensive individual feedback on your emotional well-being in everyday social life during the coronavirus crisis at the end of June. If you have any questions, please do not hesitate to contact the following e-mail address: [email protected] Die Studie ist beendet. Sie können das Browserfenster nun schließen. Vielen Dank für Ihre erfolgreiche Teilnahme! Ihr EMOTIONS-C-Team The study is finished. You can now close the browser window. Thank you very much for your successful participation! Your EMOTIONS-C Team DATA QUALITY CONTROL In addition to data exclusion, we performed data quality checks to scrutinize the trait and state data set for conspicuous responding. In particular, we identified outliers9 on various data quality metrics, namely intraindividual response variability (IRV), longstring, trait and state survey completion time, and responses to variables with open answer format. The variables associated with each data quality check (e.g., the data quality metric itself and a variable flagging outliers on the respective data quality metric) are listed in the following. For further details on data quality control, see Section 2.6 and Table S4 in the Supplemtental Material of Ryvkina et al. (2022). Participant-oriented data quality control on trait measures IRV, longstring, trait survey completion time irv_bfi_t1 IRV on the BFI-2-S at T1 outlier_irv_bfi_t1 Outlying IRV on the BFI-2-S at T1: IRVs below the 25%-percentile – 3 × interquartile range (IQR) were considered outliers and flagged thereby: 1 (outlying IRV on the BFI-2-S at T1); 0 (no outlying IRV on the BFI-2-S at T1) irv_bfi_t2 IRV on the BFI-2-S at T2 9 Whenever we speak of outliers in the context of the data quality checks, we mean potential outliers only. Codebook | EMOTIONS Project – S2W1 | 23 outlier_irv_bfi_t2 Outlying IRV on the BFI-2-S at T2: IRVs below the 25%-percentile – 3 × IQR were considered outliers and flagged thereby: 1 (outlying IRV on the BFI-2-S at T2); 0 (no outlying IRV on the BFI-2-S at T2) irv_hexaco_t2 IRV on the Honesty-Humility subscale of the HEXACO-60 at T2 outlier_irv_hexaco_t2 Outlying IRV on the Honesty-Humility subscale of the HEXACO-60 at T2: IRVs below the 25%-percentile – 3 × IQR were considered outliers and flagged thereby: 1 (outlying IRV on Honesty-Humility at T2); 0 (no outlying IRV on Honesty-Humility at T2) longstring_bfi_t1 Longstring on the BFI-2-S at T1 outlier_longstring_bfi _t1 Outlying longstring on the BFI-2-S at T1: Longstrings above the 75%-percentile + 3 × IQR were considered outliers and flagged thereby: 1 (outlying longstring on the BFI-2-S at T1); 0 (no outlying longstring on the BFI-2-S at T1) longstring_bfi_t2 Longstring on the BFI-2-S at T2 outlier_longstring_bfi _t2 Outlying longstring on the BFI-2-S at T2: Longstrings above the 75%-percentile + 3 × IQR were considered outliers and flagged thereby: 1 (outlying longstring on the BFI-2-S at T2); 0 (no outlying longstring on the BFI-2-S at T2) longstring_hexaco_t2 Longstring on the Honesty-Humility subscale of the HEXACO-60 at T2 outlier_longstring_hex aco_t2 Outlying longstring on the Honesty-Humility subscale of the HEXACO-60 at T2: Longstrings above the 75%-percentile + 3 × IQR were considered outliers and flagged thereby: 1 (outlying longstring on Honesty-Humility at T2); 0 (no outlying longstring on Honesty-Humility at T2) completion_time_t1 Trait survey completion time at T3 outlier_completion_ti me_t1 Outlying trait survey completion time at T1: Completion times shorter than 2 sec × number of items in the initial online survey (i.e., at T1) of S2W1 were considered outliers and flagged thereby: 1 (outlying completion time at T1); 0 (no outlying completion time at T1) completion_time_t2 Trait survey completion time at T2 outlier_completion_ti me_t2 Outlying trait survey completion time at T2: Completion times shorter than 2 sec × number of items in the final online survey (i.e., at T2) of S2W1 were considered outliers and flagged thereby: 1 (outlying completion time at T2); 0 (no outlying completion time at T2) Variable-oriented data quality control Variables with open answer format outlier_age_t1 Outlying age at T1: An age above the 75%-percentile + 3 × IQR was considered outlier and flagged thereby: 1 (outlying age at T1); 0 (no outlying age at T1) outlier_household_t1 Outlying household size at T1: A household size above the 75%-percentile + 3 × IQR was considered outlier and flagged thereby: 1 (outlying household size at T1); 0 (no outlying household size at T1) outlier_higher_ed_se mester_t1 Outlying number of higher education semesters at T1: A number of higher education semesters above the 75%-percentile + 3 × IQR was considered outlier and flagged thereby: 1 (outlying number of higher education semesters at T1); 0 (no outlying number of higher education semesters at T1) outlier_toiletpaper_t1 Outlying number of toilet paper rolls in one’s household at T1: A number of toilet paper rolls above the 75%-percentile + 3 × IQR was considered outlier and flagged thereby: 1 (outlying number of toilet paper rolls at T1); 0 (no outlying number of toilet paper rolls at T1) outlier_pasta_t1 Outlying number of pasta packages in one’s household at T1: A number of pasta packages above the 75%-percentile + 3 × IQR was considered outlier and flagged thereby: 1 (outlying number of pasta packages at T1); 0 (no outlying number of pasta packages at T1) outlier_aff_family_qua rantine_t1 Outlying number of family members in quarantine at T1: A number of family members in quarantine above the 75%- percentile + 3 × IQR was considered outlier and flagged thereby: 1 (outlying number of family members in quarantine at T1); 0 (no outlying number of family members in voluntary quarantine at T1) outlier_aff_family_test _t1 Outlying number of family members tested for the coronavirus at T1: A number of family members tested for the coronavirus above the 75%-percentile + 3 × IQR was considered outlier and flagged thereby: 1 (outlying number of family members tested for the coronavirus at T1); 0 (no outlying number of family members tested for the coronavirus at T1) outlier_aff_family_pos itive_t1 Outlying number of infected family members at T1: A number of infected family members above the 75%-percentile + 3 × IQR was considered outlier and flagged thereby: 1 (outlying number of infected family members at T1); 0 (no outlying number of infected family members at T1) outlier_aff_closeother s_quarantine_t1 Outlying number of close others in quarantine at T1: A number of close others in quarantine above the 75%-percentile + 3 × IQR was considered outlier and flagged thereby: 1 (outlying number of close others in quarantine at T1); 0 (no outlying number of close others in voluntary quarantine at T1) outlier_aff_closeother s_test_t1 Outlying number of close others tested for the coronavirus at T1: A number of close others tested for the coronavirus above the 75%-percentile + 3 × IQR was considered outlier and flagged thereby: 1 (outlying number of close others tested for the coronavirus at T1); 0 (no outlying number of close others tested for the coronavirus at T1) outlier_aff_closeother s_positive_t1 Outlying number of infected close others at T1: A number of infected close others above the 75%-percentile + 3 × IQR was considered outlier and flagged thereby: 1 (outlying number of infected close others at T1); 0 (no outlying number of infected close others at T1) outlier_aff_people_qu arantine_t1 Outlying number of people from wider social environment in quarantine at T1: A number of people from wider social environment in quarantine above the 75%-percentile + 3 × IQR was considered outlier and flagged thereby: 1 (outlying number of people from wider social environment in quarantine at T1); 0 (no outlying number of people from wider social environment in voluntary quarantine at T1) Codebook | EMOTIONS Project – S2W1 | 24 outlier_aff_people_tes t_t1 Outlying number of people from wider social environment tested for the coronavirus at T1: A number of people from wider social environment tested for the coronavirus above the 75%-percentile + 3 × IQR was considered outlier and flagged thereby: 1 (outlying number of people from wider social environment tested for the coronavirus at T1); 0 (no outlying number of people from wider social environment tested for the coronavirus at T1) outlier_aff_people_po sitive_t1 Outlying number of infected close others at T1: A number of infected people from wider social environment above the 75%- percentile + 3 × IQR was considered outlier and flagged thereby: 1 (outlying number of infected people from wider social environment at T1); 0 (no outlying number of infected people from wider social environment at T1) outlier_toiletpaper_t2 Outlying number of toilet paper rolls in one’s household at T2: A number of toilet paper rolls above the 75%-percentile + 3 × IQR was considered outlier and flagged thereby: 1 (outlying number of toilet paper rolls at T2); 0 (no outlying number of toilet paper rolls at T2) outlier_pasta_t2 Outlying number of pasta packages in one’s household at T2: A number of pasta packages above the 75%-percentile + 3 × IQR was considered outlier and flagged thereby: 1 (outlying number of pasta packages at T2); 0 (no outlying number of pasta packages at T2) outlier_aff_family_qua rantine_t2 Outlying number of family members in quarantine at T2: A number of family members in quarantine above the 75%- percentile + 3 × IQR was considered outlier and flagged thereby: 1 (outlying number of family members in quarantine at T2); 0 (no outlying number of family members in voluntary quarantine at T2) outlier_aff_family_test _t2 Outlying number of family members tested for the coronavirus at T2: A number of family members tested for the coronavirus above the 75%-percentile + 3 × IQR was considered outlier and flagged thereby: 1 (outlying number of family members tested for the coronavirus at T2); 0 (no outlying number of family members tested for the coronavirus at T2) outlier_aff_family_pos itive_t2 Outlying number of infected family members at T2: A number of infected family members above the 75%-percentile + 3 × IQR was considered outlier and flagged thereby: 1 (outlying number of infected family members at T2); 0 (no outlying number of infected family members at T2) outlier_aff_closeother s_quarantine_t2 Outlying number of close others in quarantine at T2: A number of close others in quarantine above the 75%-percentile + 3 × IQR was considered outlier and flagged thereby: 1 (outlying number of close others in quarantine at T2); 0 (no outlying number of close others in voluntary quarantine at T2) outlier_aff_closeother s_test_t2 Outlying number of close others tested for the coronavirus at T2: A number of close others tested for the coronavirus above the 75%-percentile + 3 × IQR was considered outlier and flagged thereby: 1 (outlying number of close others tested for the coronavirus at T2); 0 (no outlying number of close others tested for the coronavirus at T2) outlier_aff_closeother s_positive_t2 Outlying number of infected close others at T2: A number of infected close others above the 75%-percentile + 3 × IQR was considered outlier and flagged thereby: 1 (outlying number of infected close others at T2); 0 (no outlying number of infected close others at T2) outlier_aff_people_qu arantine_t2 Outlying number of people from wider social environment in quarantine at T2: A number of people from wider social environment in quarantine above the 75%-percentile + 3 × IQR was considered outlier and flagged thereby: 1 (outlying number of people from wider social environment in quarantine at T2); 0 (no outlying number of people from wider social environment in voluntary quarantine at T2) outlier_aff_people_tes t_t2 Outlying number of people from wider social environment tested for the coronavirus at T2: A number of people from wider social environment tested for the coronavirus above the 75%-percentile + 3 × IQR was considered outlier and flagged thereby: 1 (outlying number of people from wider social environment tested for the coronavirus at T2); 0 (no outlying number of people from wider social environment tested for the coronavirus at T2) outlier_aff_people_po sitive_t2 Outlying number of infected close others at T2: A number of infected people from wider social environment above the 75%- percentile + 3 × IQR was considered outlier and flagged thereby: 1 (outlying number of infected people from wider social environment at T2); 0 (no outlying number of infected people from wider social environment at T2) Participant-oriented data quality control on state measures IRV, longstring, state survey completion time irv_esm_interaction_p erReport_s2w1 IRV across all state survey items with identical response format assessed in S2W1, per state report completed post social interaction outlier_irv_esm_intera ction_perReport_s2w 1 Outlying IRV across all state survey items with identical response format assessed in S2W1, per state report completed post social interaction: IRVs below the 25%-percentile – 3 × IQR were considered outliers and flagged thereby: 1 (outlying IRV per state report post social interaction); 0 (no outlying IRV per state report post social interaction) sum_outlier_irv_esm_ interaction_perPartici pant_s2w1 Sum of outlying IRVs (based on state reports post social interaction) per participant outlier_irv_esm_intera ction_perParticipant_s 2w1 Outlying IRV on at least one state report post social interaction (per participant): 1 (outlying IRV on at least one state report post social interaction); 0 (no outlying IRV on any state report post social interaction) irv_esm_activity_perR eport_s2w1 IRV across all state survey items with identical response format assessed in S2W1, per state report completed post non-social activity outlier_irv_esm_activi ty_perReport_s2w1 Outlying IRV across all state survey items with identical response format assessed in S2W1, per state report completed post non-social activity: IRVs below the 25%-percentile – 3 × IQR were considered outliers and flagged thereby: 1 (outlying IRV per state report post non-social activity); 0 (no outlying IRV per state report post non-social activity) sum_outlier_irv_esm_ activity_perParticipant _s2w1 Sum of outlying IRVs (based on state reports post non-social activity) per participant Codebook | EMOTIONS Project – S2W1 | 25 outlier_irv_esm_activi ty_perParticipant_s2w 1 Outlying IRV on at least one state report post non-social activity (per participant): 1 (outlying IRV on at least one state report post non-social activity); 0 (no outlying IRV on any state report post non-social activity) longstring_esm_intera ction_perReport_s2w 1 Longstring across all state survey items with identical response format assessed in S2W1, per state report completed post social interaction outlier_longstring_es m_interaction_perRep ort_s2w1 Outlying longstring across all state survey items with identical response format assessed in S2W1, per state report completed post social interaction: Longstrings above the 75%-percentile + 3 × IQR were considered outliers and flagged thereby: 1 (outlying longstring per state report post social interaction); 0 (no outlying longstring per state report post social interaction) sum_outlier_longstrin g_esm_interaction_pe rParticipant_s2w1 Sum of outlying longstrings (based on state reports post social interaction) per participant outlier_longstring_es m_interaction_peParti cipant_s2w1 Outlying longstring on at least one state report post social interaction (per participant): 1 (outlying longstring on at least one state report post social interaction); 0 (no outlying longstring on any state report post social interaction) longstring_esm_activit y_perReport_s2w1 Longstring across all state survey items with identical response format assessed in S2W1, per state report completed post nonsocial interaction outlier_longstring_es m_activity_perReport _s2w1 Outlying longstring across all state survey items with identical response format assessed in S2W1, per state report completed post non-social interaction: Longstrings above the 75%-percentile + 3 × IQR were considered outliers and flagged thereby: 1 (outlying longstring per state report post non-social interaction); 0 (no outlying longstring per state report post non-social interaction) sum_outlier_longstrin g_esm_activity_perPar ticipant_s2w1 Sum of outlying longstrings (based on state reports post non-social interaction) per participant outlier_longstring_es m_activity_perParticip ant_s2w1 Outlying longstring on at least one state report post non-social interaction (per participant): 1 (outlying longstring on at least one state report post non-social interaction); 0 (no outlying longstring on any state report post non-social interaction) completion_time_esm _perReport_s2w1 Completion time across all completed (i.e., either social-interactionor non-social-activity-related) state survey items assessed in S2W1, per state report outlier_completion_ti me_esm_perReport_s 2w1 Outlying completion time across all completed state survey items assessed in S2W1, per state report: Completion times shorter than 1 sec × number of completed state items in S2W1 were considered outliers and flagged thereby: 1 (outlying completion time per state report); 0 (no outlying completion time per state report) sum_outlier_completi on_time_esm_perPart icipant_s2w1 Sum of outlying completion times (based on state reports) per participant outlier_completion_ti me_esm_perParticipa nt_s2w1 Outlying completion time on at least one state report (per participant): 1 (outlying completion time on at least one state report); 0 (no outlying completion time on any state report) Overall conspicuous participants Participants were flagged across data quality metrics on trait and state measures. sum_data_quality_outl iers_s2w1 Total number of outlying data quality metrics in S2W1 outlier_participant_s2 w1 Participants who were flagged on at least one of the aforementioned data quality metrics were marked as conspicuous participants in S2W1 overall: 1 (overall conspicuous participant in S2W1); 0 (overall non-conspicuous participant in S2W1)