0056_ryvkina

CODEBOOK EMOTIONS PROJECT Study 1 Wave 1 (S1W1) 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 – S1W1 | 2 EMOTIONS PROJECT OVERVIEW Study 1 Study 2 Wave 1: S1W1 Wave 2: S1W2 Wave 1: S2W1 Wave 2: S2W2 Phases 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). S1W1 TIMELINE On March 8, 2020, German Federal Health Minister Jens Spahn officially suggested to cancel all public events with more than 1,000 people. Furthermore, the first German death case related to the coronavirus was registered on this date1. Thus, March 8, 2020 can reasonably be labelled as the “beginning” of greater public realization of the COVID-19 pandemic in Germany. Note. ESM report = completed ESM (i.e., state) survey, S1W1 = Study 1 Wave 1. NOTES ON THE DATA SETS The trait data set of S1W1 subsumes trait measures administered in S1W1 only. Thus, each row corresponds to a unique participant. The state data set of S1W1 subsumes state and trait measures administered in S1W1. 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 three additional exclusion criteria uniquely to the state data set, namely (f) incomplete state surveys, (g) state surveys completed too close to each other, and (h) state surveys sent out during the night on January 14, 2020, due to a technical error. For details on data exclusion, please refer to Section 2.4.2 of our data paper (Ryvkina et al., 20222). 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 Tagesschau (2020, April 17). Chronik zur Coronakrise: Ein Virus verändert die Welt. https://bit.ly/3BGUASp 2 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 – S1W1 | 3 UNIQUE PERSON IDENTIFIER This number was generated post data collection to identify unique participants. id id number Whole number: 1 – 353 (trait data set); 1 – 313 (state data set) ADDITIONAL VARIABLES IN MERGED DATA SETS These variables were added post data collection to the merged data sets from Study 1 (Study1_BothWaves_Traitdata_inclWave1[2]-only and Study1_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; S1W1-only; S1W2-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 S1W1; S1W2 INITIAL ONLINE SURVEY (T1) INTRODUCTION TO INITIAL ONLINE SURVEY (T1) Variable Name Description German English Liebe Teilnehmerin, lieber Teilnehmer, Herzlich willkommen zur EMOTIONS-Studie! Vielen Dank, dass Sie sich dafür entschieden haben, an unserer Studie teilzunehmen. Mit der EMOTIONS-Studie möchten wir soziale Erfahrungen im Alltag untersuchen. Zur Untersuchung dieser Frage werden Sie zwei Wochen mehrmals täglich in der EMOTIONS-App einen kurzen Fragebogen ausfüllen. Direkt jetzt im Anschluss und zum Abschluss der Studie nach zwei Wochen werden Sie zusätzlich einen Fragebogen zu Einstellungen und Selbstbeschreibungen ausfüllen. Wenn Sie mindestens 50% der zugesandten Fragebögen ausfüllen, erhalten Sie 6 Versuchspersonenstunden. Außerdem gibt es einen Bonus für regelmäßiges Ausfüllen: Wenn Sie mehr als 80% der zugesandten Fragebögen beantworten, werden Ihnen zusätzlich 4 Versuchspersonenstunden gutgeschrieben (insgesamt 10 Versuchspersonenstunden) und Sie nehmen an der Verlosung von 25 Amazon-Gutscheinen im Wert von jeweils 50 Euro teil. Nach Abschluss der Studie bekommen alle Teilnehmenden detaillierte Rückmeldungen zu ihrem emotionalen Empfinden im sozialen Alltag. Wenn Sie Fragen haben oder Probleme auftreten, können Sie uns jederzeit eine Email an [email protected] schreiben. Wir freuen uns über Ihr Interesse und Ihre Unterstützung. Ihr EMOTIONS-Team Dear participant, Welcome to the EMOTIONS study! Thank you very much for choosing to participate in our study. With the help of the EMOTIONS study we would like to investigate social experiences in everyday life. To investigate this question, you will complete a short questionnaire in the EMOTIONS app several times a day for two weeks. Immediately following the study and at its conclusion after two weeks, you will also complete a questionnaire on attitudes and selfdescriptions. If you complete at least 50% of the questionnaires sent in, you will receive 6 test person hours. There is also a bonus for regular completion: If you complete more than 80% of the questionnaires sent in, you will receive 4 additional test person hours (10 test person hours in total), and you will be entered in the prize draw for 25 Amazon vouchers worth 50 euros each. After completion of the study, all participants will receive comprehensive feedback on their emotional well-being in everyday social life. If you have any questions or problems, please do not hesitate to send us an email at emotion[email protected]. We appreciate your interest and support. Your EMOTIONS team Contact person: Lara Kröncke Westfälische Wilhelms-Universität Münster Psychological Assessment and Personality Psychology +49 (0) 251 - 83 - 3 43 28 Codebook | EMOTIONS Project – S1W1 | 4 Ansprechpartnerin: Lara Kröncke Westfälische Wilhelms-Universität Münster Psychologische Diagnostik und Persönlichkeitspsychologie 0251 - 83 - 3 43 28 [email protected] [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) - der Deutschen Gesellschaft für Psychologie (DGPs) zur Qualitätssicherung in der Forschung und 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 and 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-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 EMOTIONSstudy. 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. 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) 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) Codebook | EMOTIONS Project – S1W1 | 5 Letzter Buchstabe Ihres Nachnamens (z.B. Müller = R) 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 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 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) 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) higher_ed_semester Studiensemester: Semester of studies: Ganzzahl Integer higher_ed_field Studienfach: Field of study: Offenes Antwortformat Open answer format INTRODUCTION TO PERSONALITY QUESTIONNAIRES Auf den folgenden Seiten bitten wir Sie, allgemeine Einschätzungen in Bezug auf Ihre Einstellungen und Selbstbeschreibungen abzugeben. Es gibt hierbei keine richtigen und falschen Antworten, sondern es geht nur um Ihre persönlichen Entscheidungen. On the following pages, we ask you to provide general assessments regarding your attitudes and selfdescriptions. There are no right and wrong answers, it's all about your personal choices. IAL (Interpersonal Adjective Scales) German version: Jacobs, I., & Scholl, W. (2005). Interpersonale Adjektivliste (IAL). Diagnostica, 51(3), 145–155. https://doi.org/10.1026/0012-1924.51.3.145 Codebook | EMOTIONS Project – S1W1 | 6 English version: 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 Neuroticism-related were selected from a list by Ostendorf (1994) similar to a selection by Back et al. (2009): Ostendorf, F. (1994). Zur Taxonomie deutscher Dispositionsbegriffe. In W. Hager & M. Hasselhorn (Eds.), Handbuch deutschsprachiger Wortnormen (pp. 382–441). Hogrefe. Back, M. D., Schmukle, S. C., & Egloff, B. (2009). Predicting actual behavior from the explicit and implicit self-concept of personality. Journal of Personality and Social Psychology, 97(3), 533–548. https://doi.org/10.1037/a0016229 The IAL 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. Beurteilen Sie bitte, inwieweit die folgenden Aussagen auf Sie zutreffen. Sie können Ihre Antworten zwischen 1 (Stimmt nicht) und 5 (Stimmt sehr) abstufen. Please indicate to how much the following statements apply to you. You can give a rating between 1 (Strongly disagree) and 5 (Strongly agree). Rating-Skala: 1 (Stimmt nicht); 2 (Stimmt eher nicht); 3 (Neutral); 4 (Stimmt eher); 5 (Stimmt sehr) Rating scale: 1 (Strongly disagree); 2 (Rather disagree); 3 (Neutral); 4 (Rather agree); 5 (Strongly agree)3 ial_1[_t2] einfühlsam sensitive ial_2[_t2] großzügig charitable ial_3[_t2] distanziert distant ial_4[_t2] lenkbar controllable ial_5[_t2] angriffslustig belligerent ialneuro_1[_t2] furchtsam timid ialneuro_2[_t2] besorgt worried ialneuro_3[_t2] aufgeregt excited ial_6[_t2] verschlossen withdrawn ial_7[_t2] stolz proud ial_8[_t2] selbstbewusst self-confident ial_9[_t2] unbarmherzig relentless ial_10[_t2] kontaktfreudig outgoing ial_11[_t2] rechthaberisch bossy ial_12[_t2] überzeugend persuasive ial_13[_t2] gleichgültig indifferent ial_14[_t2] fürsorglich caring ial_15[_t2] unterwürfig submissive ial_16[_t2] unaufrichtig insincere ialneuro_4[_t2]* gelassen composed ial_17[_t2] anständig decent ial_18[_t2] eigenbrötlerisch solitary ialneuro_5[_t2]* entspannt relaxed ial_19[_t2] angepasst conformed ial_20[_t2] interessiert interested ial_21[_t2] taktvoll tactful ial_22[_t2] provokativ provocative ial_23[_t2] kommunikativ communicative ial_24[_t2] feindselig hostile ial_25[_t2] harmoniebedacht harmonious ial_26[_t2] selbstunsicher unconfident ial_27[_t2] still quiet ial_28[_t2] einsiedlerisch reclusive ial_29[_t2] rücksichtslos ruthless ialneuro_6[_t2]* ausgeglichen even-tempered 3 Note that in the original version, all items are answered on an 8-point rating scale ranging from 1 (extremely inaccurate) to 8 (extremely accurate). In the EMOTIONS project, however, a 5-point rating scale was used to increase consistency with the other measures. Codebook | EMOTIONS Project – S1W1 | 7 ial_30[_t2] frech cocky ial_31[_t2] gefühlskalt coldhearted ial_32[_t2] gehorsam obedient ial_33[_t2] herzlich warm ial_34[_t2] offensiv offensively-minded ial_35[_t2] rücksichtsvoll considerate ial_36[_t2] zynisch cynical ial_37[_t2] konkurrierend competitive ial_38[_t2] vorsichtig cautiously ialneuro_7[_t2]* gelöst released ial_39[_t2] egoistisch selfish ial_40[_t2] schüchtern shy ial_41[_t2] selbstsicher self-assured ial_42[_t2] steif rigid ial_43[_t2] charmant charming ialneuro_8[_t2]* furchtlos fearless ialneuro_9[_t2] verletzlich vulnerable ial_44[_t2] couragiert courageous ialneuro_10[_t2] ängstlich fearful ial_45[_t2] konfliktscheu conflict-avoidant ial_46[_t2] reserviert reserved ial_47[_t2] uninteressiert uninterested ial_48[_t2] nachgiebig permissive ialneuro_11[_t2] unsicher insecure ial_49[_t2] verletzend offending ialneuro_12[_t2] launisch moody ial_50[_t2] ungesellig unsociable ial_51[_t2] beeinflussbar influencable ial_52[_t2] folgsam compliant ial_53[_t2] loyal loyal ial_54[_t2] boshaft vicious ial_55[_t2] intrigant scheming ial_56[_t2] zögerlich hesitant ial_57[_t2] unauffällig unobtrusive ial_58[_t2] direkt straightforward ial_59[_t2] hilfsbereit helpful ial_60[_t2] durchsetzungsfähig assertive ial_61[_t2] gesellig sociable ial_62[_t2] bescheiden modest ial_63[_t2] aufgeschlossen open-minded ialneuro_13[_t2]* belastbar resilient ialneuro_14[_t2]* ruhig calm ialneuro_15[_t2]* stressresistent stress-resistant ialneuro_16[_t2] nervös nervous ial_64[_t2] dominant dominant NARQ (Narcissistic Admiration and Rivalry Questionnaire) 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 Codebook | EMOTIONS Project – S1W1 | 8 The NARQ 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)4 narq_1[_t2] Ich bin großartig. I am great. narq_2[_t2] Ich werde einmal berühmt sein. I will someday be famous. narq_3[_t2] Ich zeige anderen, was für ein besonderer Mensch ich bin. I show others how special I am. narq_4[_t2] Ich reagiere genervt, wenn eine andere Person mir die Schau stiehlt. I react annoyed if another person steals the show from me. narq_5[_t2] Ich genieße meine Erfolge sehr. I enjoy my successes very much. narq_6[_t2] Es freut mich insgeheim, wenn meine Gegner scheitern. I secretly take pleasure in the failure of my rivals. narq_7[_t2] In Gesprächen gelingt es mir meist, die Aufmerksamkeit der Anwesenden auf mich zu ziehen. Most of the time I am able to draw people’s attention to myself in conversations. narq_8[_t2] Ich habe es verdient, als große Persönlichkeit angesehen zu werden. I deserve to be seen as a great personality. narq_9[_t2] Ich will, dass meine Konkurrenten scheitern. I want my rivals to fail. narq_10[_t2] Ich genieße es, wenn mir ein anderer Mensch unterlegen ist. I enjoy it when another person is inferior to me. narq_11[_t2] Ich reagiere häufig gereizt auf Kritik. I often get annoyed when I am criticized. narq_12[_t2] Ich ertrage es nur schlecht, wenn eine andere Person Mittelpunkt des Geschehens ist. I can barely stand it if another person is at the center of events. narq_13[_t2] Die meisten Menschen werden es zu nichts bringen. Most people won’t achieve anything. narq_14[_t2] Andere Menschen sind nichts wert. Other people are worth nothing. narq_15[_t2] Ich ziehe viel Kraft daraus, eine ganz besondere Person zu sein. Being a very special person gives me a lot of strength. narq_16[_t2] Mit meinen besonderen Beiträgen schaffe ich es, im Mittelpunkt zu stehen. I manage to be the center of attention with my outstanding contributions. narq_17[_t2] Die meisten Menschen sind ziemliche Versager. Most people are somehow losers. narq_18[_t2] Ich verhalte mich im Umgang mit anderen meist überaus gewandt. Mostly, I am very adept at dealing with other people. RSES (Rosenberg Self-Esteem Scale) 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 The RSES 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. Beurteilen Sie bitte, inwieweit die folgenden Aussagen auf Sie zutreffen. Sie können Ihre Antworten zwischen 1 (Trifft überhaupt nicht zu) und 4 (Trifft voll und ganz zu) abstufen. Please indicate to how much the following statements apply to you. You can give a rating between 1 (Strongly disagree) and 4 (Strongly agree). Rating Skala: 1 (Trifft überhaupt nicht zu); 2 (Trifft nicht zu); 3 (Trifft zu); 4 (Trifft voll und ganz zu) Rating scale: 1 (Strongly disagree); 2 (Disagree); 3 (Agree); 4 (Strongly agree)5 rses_1[_t2] Alles in allem bin ich mit mir selbst zufrieden. On the whole, I am satisfied with myself. rses_2[_t2]* Hin und wieder denke ich, dass ich gar nichts tauge. At times I think I am no good at all. rses_3[_t2] Ich besitze eine Reihe guter Eigenschaften. I feel that I have a number of good qualities. 4 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. 5 Note that in the original version, the rating scale ranges from 0 to 3. Codebook | EMOTIONS Project – S1W1 | 9 rses_4[_t2] Ich kann vieles genauso gut wie die meisten anderen Menschen. I am able to do things as well as most other people. rses_5[_t2]* Ich fürchte, es gibt nicht viel, worauf ich stolz sein kann. I feel I do not have much to be proud of. rses_6[_t2]* Ich fühle mich von Zeit zu Zeit richtig nutzlos. I certainly feel useless at times. rses_7[_t2] Ich halte mich für einen wertvollen Menschen, jedenfalls bin ich nicht weniger wertvoll als andere. I feel that I'm a person of worth, at least on an equal plane with others. rses_8[_t2]* Ich wünschte, ich könnte vor mir selbst mehr Achtung haben. I wish I could have more respect for myself. rses_9[_t2]* Alles in allem neige ich dazu, mich für einen Versager zu halten. All in all, I am inclined to think that I am a failure. rses_10[_t2] Ich habe eine positive Einstellung mir selbst gegenüber. I take a positive attitude toward myself. HSNS (Hypersensitive Narcissism Scale) German version: Morf, C. C., Schürch, E., Küfner, A., Siegrist, P., Vater, A., Back, M., Mestel, R., & Schröder-Abé, M. (2017). Expanding the nomological net of the Pathological Narcissism Inventory: German validation and extension in a clinical inpatient sample. Assessment, 24(4), 419–443. https://doi.org/10.1177/1073191115627010 English version: Hendin, H. M., & Cheek, J. M. (1997). Assessing hypersensitive narcissism: A reexamination of Murray's Narcism Scale. Journal of Research in Personality, 31(4), 588–599. https://doi.org/10.1006/jrpe.1997.2204 The HSNS 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 5 (Trifft voll und ganz zu) abstufen. Please indicate to how much the following statements apply to you. You can give a rating between 1 (Does not apply at all) and 5 (Applies completely). Rating Skala: 1 (Trifft überhaupt nicht zu); 2 (Trifft eher nicht zu); 3 (Neutral); 4 (Trifft eher zu); 5 (Trifft voll und ganz zu) Rating scale: 1 (Does not apply at all); 2 (Rather does not apply); 3 (Neutral); 4 (Rather applies); 5 (Applies completely)6 hsns_1[_t2] Ich kann mich völlig vertiefen, wenn ich über persönliche Angelegenheiten, meine Gesundheit, meine Bedürfnisse/Sorgen oder meine Beziehung zu anderen Personen nachdenke. I can become entirely absorbed in thinking about my personal affairs, my health, my cares or my relations to others. hsns_2[_t2] Spöttische oder abschätzige Bemerkungen anderer können meine Gefühle leicht verletzen. My feelings are easily hurt by ridicule or the slighting remarks of others. hsns_3[_t2] Wenn ich einen Raum betrete, fühle ich mich oft gehemmt oder verlegen, weil ich spüre, dass alle Augen auf mich gerichtet sind. When I enter a room I often become self-conscious and feel that the eyes of others are upon me. hsns_4[_t2] Nach einem Erfolg teile ich nicht gern die Anerkennung mit anderen. I dislike sharing the credit of an achievement with others. hsns_5[_t2] Ich finde, ich habe bereits genug um die Ohren, auch ohne mich noch um die Probleme von anderen Leuten zu sorgen. I feel that I have enough on my hands without worrying about other people's troubles. hsns_6[_t2] Von der Wesensart her (temperamentsmäßig) unterscheide ich mich von den meisten anderen Personen. I feel that I am temperamentally different from most people. hsns_7[_t2] Ich nehme die Bemerkungen von anderen oft persönlich. I often interpret the remarks of others in a personal way. hsns_8[_t2] Ich bin sehr schnell von meinen eigenen Interessen absorbiert und vergesse dabei die Mitmenschen um mich herum. I easily become wrapped up in my own interests and forget the existence of others. hsns_9[_t2] Ich bewege mich nicht gern in Gruppen, außer ich weiß, dass ich von mindestens einer Person dieser Gruppe geschätzt werde. I dislike being with a group unless I know that I am appreciated by at least one of those present. hsns_10[_t2] Wenn andere mit ihren Problemen zu mir kommen und mich um Zeit und Sympathie bitten, bin ich insgeheim verstimmt oder verärgert. I am secretly "put out" or annoyed when other people come to me with their troubles, asking me for my time and sympathy. PERSONAL START AND END TIMES 6 Note that in the original version, all items are answered on the following rating scale: 1 (very uncharacteristic or untrue, strongly disagree); 2 (uncharacteristic); 3 (neutral); 4 (characteristic); 5 (very characteristic or true, strongly agree). Codebook | EMOTIONS Project – S1W1 | 16 Einstellungen und Selbstbeschreibungen zu beantworten. Auf den folgenden Seiten bitten wir Sie, allgemeine Fragen zu Einstellungen und Selbstbeschreibungen zu beantworten. Es gibt hierbei keine richtigen und falschen Antworten, sondern es geht nur um Ihre persönlichen Einschätzungen. On the following pages we ask you to answer general questions about attitudes and self-descriptions. There are no right and wrong answers, what is of relevance are your personal evaluations. Please find below a list of all measures assessed at T2 after the introduction. Their respective items (labelled with an additional “_t2” suffix to signify the time of assessment) can be found in the codebook sections for T1 above. 1. IAL 2. NARQ 3. RSES 4. HSNS END OF FINAL ONLINE SURVEY (T2) Vielen Dank für das Ausfüllen des letzten Fragebogens und für Ihre erfolgreiche Teilnahme an der EMOTIONS-Studie! Falls Sie Versuchspersonenstunden benötigen, schreiben Sie bitte eine Email an [email protected]. Sie erhalten 6 Versuchspersonenstunden, wenn Sie mindestens 50% der Fragebögen ausgefüllt haben und einen Bonus von 4 Versuchspersonenstunden (insgesamt 10), wenn Sie über 80% der Fragebögen ausgefüllt haben. Bei regelmäßiger Teilnahme nehmen Sie auch an der Verlosung von 25 AmazonGutscheinen im Wert von jeweils 50 Euro teil. Zusätzlich werden wir allen Teilnehmenden detaillierte Rückmeldungen zu ihrem emotionalen Empfinden im sozialen Alltag zusenden. Wir würden uns freuen, wenn Sie die EMOTIONSStudie weiterempfehlen. Bitte leiten Sie hierfür einfach folgenden Link weiter: https://formr.unimuenster.de/emotions Bei Fragen wenden Sie sich gerne an folgende MailAdresse: emotion[email protected] Thank you for completing the last questionnaire and for your successful participation in the EMOTIONS study! If you need test person hours, please write an email to [email protected]. You will receive 6 test person hours if you have completed at least 50% of the questionnaires and a bonus of 4 test person hours (10 in total) if you have completed more than 80% of the questionnaires. If you participate regularly, you also take part in the prize draw of 25 Amazon vouchers worth 50 euros each. In addition, we will send all participants comprehensive feedback on their emotional wellbeing in everyday social life. We would be pleased if you recommend the EMOTIONS study to others. Please, simply forward the following link: https://formr.unimuenster.de/emotions 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-Team The study is finished. You can now close the browser window. Thank you very much for your successful participation! Your EMOTIONS 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 outliers10 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_ial_t1 IRV on the IAL at T1 10 Whenever we speak of outliers in the context of the data quality checks, we mean potential outliers only. Codebook | EMOTIONS Project – S1W1 | 17 outlier_irv_ial_t1 Outlying IRV on the IAL at T1: IRVs below the 25%-percentile – 3 × interquartile range (IQR) were considered outliers and flagged thereby: 1 (outlying IRV on the IAL at T1); 0 (no outlying IRV on the IAL at T1) irv_ial_t2 IRV on the IAL at T2 outlier_irv_ial_t2 Outlying IRV on the IAL at T2: IRVs below the 25%-percentile – 3 × IQR were considered outliers and flagged thereby: 1 (outlying IRV on the IAL at T2); 0 (no outlying IRV on the IAL at T2) irv_narq_t1 IRV on the NARQ at T1 outlier_irv_narq_t1 Outlying IRV on the NARQ at T1: IRVs above the 75%-percentile + 3 × IQR were considered outliers and flagged thereby: 1 (outlying IRV on the NARQ at T1); 0 (no outlying IRV on the NARQ at T1) irv_narq_t2 IRV on the NARQ at T2 outlier_irv_narq_t2 Outlying IRV on the NARQ at T2: IRVs above the 75%-percentile + 3 × IQR were considered outliers and flagged thereby: 1 (outlying IRV on the NARQ at T2); 0 (no outlying IRV on the NARQ at T2) irv_rses_t1 IRV on the RSES at T1 outlier_irv_rses_t1 Outlying RSES on the IAL at T1: IRVs below the 25%-percentile – 3 × IQR were considered outliers and flagged thereby: 1 (outlying RSES on the IAL at T1); 0 (no outlying RSES on the IAL at T1) irv_rses_t2 IRV on the RSES at T2 outlier_irv_rses_t2 Outlying RSES on the IAL at T2: IRVs below the 25%-percentile – 3 × IQR were considered outliers and flagged thereby: 1 (outlying RSES on the IAL at T2); 0 (no outlying RSES on the IAL at T2) irv_hsns_t1 IRV on the HSNS at T1 outlier_irv_hsns_t1 Outlying IRV on the HSNS at T1: IRVs above the 75%-percentile + 3 × IQR were considered outliers and flagged thereby: 1 (outlying IRV on the HSNS at T1); 0 (no outlying IRV on the HSNS at T1) irv_hsns_t2 IRV on the HSNS at T2 outlier_irv_hsns_t2 Outlying IRV on the HSNS at T2: IRVs above the 75%-percentile + 3 × IQR were considered outliers and flagged thereby: 1 (outlying IRV on the HSNS at T2); 0 (no outlying IRV on the HSNS at T2) longstring_ial_t1 Longstring on the IAL at T1 outlier_longstring_ial_ t1 Outlying longstring on the IAL at T1: Longstrings above the 75%-percentile + 3 × IQR were considered outliers and flagged thereby: 1 (outlying longstring on the IAL at T1); 0 (no outlying longstring on the IAL at T1) longstring_ial_t2 Longstring on the IAL at T2 outlier_longstring_ial_ t2 Outlying longstring on the IAL at T2: Longstrings above the 75%-percentile + 3 × IQR were considered outliers and flagged thereby: 1 (outlying longstring on the IAL at T2); 0 (no outlying longstring on the IAL at T2) longstring_rses_t1 Longstring on the RSES at T1 outlier_longstring_rse s_t1 Outlying longstring on the RSES at T1: Longstrings above the 75%-percentile + 3 × IQR were considered outliers and flagged thereby: 1 (outlying longstring on the RSES at T1); 0 (no outlying longstring on the RSES at T1) longstring_rses_t2 Longstring on the RSES at T2 outlier_longstring_rse s_t2 Outlying longstring on the RSES at T2: Longstrings above the 75%-percentile + 3 × IQR were considered outliers and flagged thereby: 1 (outlying longstring on the RSES at T2); 0 (no outlying longstring on the RSES at T2) completion_time_t1 Trait survey completion time at T1 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 S1W1 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 S1W1 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_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) Participant-oriented data quality control on state measures IRV, longstring, state survey completion time irv_esm_interaction_p erReport_s1w1 IRV across all state survey items with identical response format assessed in S1W1, per state report completed post social interaction outlier_irv_esm_intera ction_perReport_s1w 1 Outlying IRV across all state survey items with identical response format assessed in S1W1, 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) Codebook | EMOTIONS Project – S1W1 | 18 sum_outlier_irv_esm_ interaction_perPartici pant_s1w1 Sum of outlying IRVs (based on state reports post social interaction) per participant outlier_irv_esm_intera ction_perParticipant_s 1w1 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_s1w1 IRV across all state survey items with identical response format assessed in S1W1, per state report completed post non-social activity outlier_irv_esm_activi ty_perReport_s1w1 Outlying IRV across all state survey items with identical response format assessed in S1W1, per state report completed post nonsocial 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 _s1w1 Sum of outlying IRVs (based on state reports post non-social activity) per participant outlier_irv_esm_activi ty_perParticipant_s1w 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_s1w 1 Longstring across all state survey items with identical response format assessed in S1W1, per state report completed post social interaction outlier_longstring_es m_interaction_perRep ort_s1w1 Outlying longstring across all state survey items with identical response format assessed in S1W1, 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_s1w1 Sum of outlying longstrings (based on state reports post social interaction) per participant outlier_longstring_es m_interaction_peParti cipant_s1w1 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_s1w1 Longstring across all state survey items with identical response format assessed in S1W1, per state report completed post nonsocial interaction outlier_longstring_es m_activity_perReport _s1w1 Outlying longstring across all state survey items with identical response format assessed in S1W1, 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_s1w1 Sum of outlying longstrings (based on state reports post non-social interaction) per participant outlier_longstring_es m_activity_perParticip ant_s1w1 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_s1w1 Completion time across all completed (i.e., either social-interactionor non-social-activity-related) state survey items assessed in S1W1, per state report outlier_completion_ti me_esm_perReport_s 1w1 Outlying completion time across all completed state survey items assessed in S1W1, per state report: Completion times shorter than 1 sec × number of completed state items in S1W1 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_s1w1 Sum of outlying completion times (based on state reports) per participant outlier_completion_ti me_esm_perParticipa nt_s1w1 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_s1w1 Total number of outlying data quality metrics in S1W1 outlier_participant_s1 w1 Participants who were flagged on at least one of the aforementioned data quality metrics were marked as conspicuous participants in S1W1 overall: 1 (overall conspicuous participant in S1W1); 0 (overall non-conspicuous participant in S1W1)