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Munich Employee Health Questionnaire (MEHQ): Primary data of waves 1 and 2 (2016) and 3 (2017)

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Researchers

Name
Zweck, Bettina Maria
Pargent, Florian

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Dataset Information

Title Munich Employee Health Questionnaire (MEHQ): Primary data of waves 1 and 2 (2016) and 3 (2017)
Original Title Munich Employee Health Questionnaire (MEHQ): Primärdaten der Erhebungswellen 1 und 2 (2016) und 3 (2017)
Citation Zweck, B.M., & Pargent, F. (2019). Munich Employee Health Questionnaire (MEHQ): Primary data of waves 1 and 2 (2016) and 3 (2017) [Translated Title] (Version 1.0.0) [Data and Documentation]. Trier: Center for Research Data in Psychology: PsychData of the Leibniz Institute for Psychology Information ZPID. https://doi.org/10.5160/psychdata.zkba17mu29
Language of variable documentation German
Responsible for Data Collection Zweck, Bettina Maria; Pargent, Florian; Kantar Deutschland GmbH
Data Collection Completion Date 2017
Dataset Publication 2019
Dataset ID zkba17mu29
Study Description So far, there are no questionnaires for mental health risk assessment that satisfactorily meet the provisions of the Work Act on Occupational Safety and Health and the requirements of DIN EN ISO 10075-3. The aim of the wave 1 and 2 surveys was therefore to develop a reliable and valid questionnaire for measuring mental health at workplace, the Munich Employee Health Questionnaire (MEHQ). To validate the MEHQ, a longitudinal design (wave 3) was used to test, if stress indicators (=predictors) can predict stress symptons, health status, turnover intention and days absent (=criteria) one year later. The survey was conducted online, with a total of 1523 employed persons participating. The process of questionnaire development and the results are presented in detail in Bettina Maria Zweck's dissertation (2017).
Hypotheses The aim of the wave 1 and 2 surveys was to develop a reliable and valid questionnaire for measuring mental health at workplace. The longitudinal design (wave 3) was used to test, if stress indicators (=predictors) can predict stress symptons, health status, turnover intention and days absent (=criteria) one year later.
Keyphrase development & validation of "Munich Employee Health Questionnaire", MEHQ, questionnaire for mental risk assessment, 1523 subjects, 3 waves, research data
Funding Kantar Germany GmbH
Rating Data collection, test development and test quality criteria (wave 1, 2) are documented in detail in Zweck (2017).

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PSYNDEX Classification and Controlled Terms

Classification Occupational & Employment Testing
Working Conditions & Industrial Safety
Controlled Terms Occupational Health
Occupational Safety
Working Conditions
Occupational Stress
Psychological Stress
Risk Factors
Questionnaires
Data Collection

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Research Method Description

Research Method Description Questionnaire Data
Classification of Data Collection Fully Standardized Survey Instrument (provides question formulation and answer options)
Research Instrument Test development and test quality criteria (wave 1, 2) are documented in detail in Zweck (2017).
Data Collection Method Data collection in the absence of an experimenter
- Online Survey
Time Points repeated measurements
Survey Time Period Wave 1: May 11th to May 23th 2016
Wave 2: August 25th to September 9th 2016
Wave 3: November 30th to December 13th 2017

Wave 1 and 2: Independent samples
Wave 3: Dependent sample (Participants of wave 1 and 2 were reinterviewed.)
Characteristics None
Population Working people in Germany
Experimental Pool Individuals
Sample Quota sample (quotas: education, age, sex; template: Federal Statistical Office Germany)
Subject Recruitment The sample was recruited from an online access panel of Kantar Germany GmbH. The respondents of this online panel receive points for each questionnaire completed, which, from a certain number of points, can be redeemed for vouchers or gifts.
Sample Size wave 1: 524 individuals; wave 2: 999 individuals; wave 3: 609 individuals
Return/Drop Out Wave 3 involved 196 subjects from wave 1 and 413 subjects from wave 2.
Gender Distribution 48,2% female subjects (n=734)
51,8% male subjects (n=789)
Age Distribution 15-65 years (and older)
Special Groups -
Country Germany
Region -
City -
Variables Demographic and job-related variables
Variables of final MEHQ:
- predictors: Working conditions, manager module, personal background
- criteria: sickness absence, turnover intention, health status, strains
Variables concerning the questionnaire
System variables like date of participation, starting and ending time of the survey
Items of wave 1 and 2 which are not part of the final MEHQ
Original not recoded items of waves 1, 2 and 3
Original not recoded items of wave 1 and 2 which are not part of the final MEHQ

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Data Status

Data Status Complete Data Set
Original Records Online questionnaire filled out by the subject mainly containing closed answers.
Transformation Using an online survey software, subject’s data were immediately assessed in a machine-readable form. The data matrix includes original as well as recoded variables. Some open questions (P1, P2 und P3) have been removed for anonymity reasons.

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Description of the Provided Data

Description Research data file
File Name zkba17mu29_fd.txt
Data Content 1523 subjects, 346 variables
Data Points 1523*346= 526958 data points
Variables Subject ID (1 item), demographic and job-related variables, wave 1 and 2 (15 items), variables of final MEHQ, working conditions (predictors), wave 1 and 2 (55 items), variables of final MEHQ, manager module (predictors), wave 1 and 2 (11 items), variables of final MEHQ, personal background (predictors), wave 1 and 2 (11 items), variables of final MEHQ, criteria, e.g. health status, stress absence, strains, turnover intention, wave 1 and 2 (17 items), variables of final MEHQ, criteria: evaluation of questionnaire, wave 1 and 2 (6 items), demographic and job-related variables, wave 3 (19 items), variables of final MEHQ, working conditions (predictors), wave 3 (55 items), variables of final MEHQ, manager module (predictors), wave 3 (11 items), variables of final MEHQ, personal background (predictors), wave 3 (11 items), variables of final MEHQ, criteria, e.g. health status, stress absence, strains, turnover intention, wave 3 (16 items), variables of final MEHQ, criteria: evaluation of questionnaire, wave 3 (6 items), system variables like starting and ending time of the survey, participation in different waves (10 items), items of wave 1 and 2 which are not part of the final MEHQ 833 items), Original not recoded items of waves 1 and 2 (29 items), Original not recoded items of wave 3 (29 items), Original not recoded items of wave 1 and 2 which are not part of the final MEHQ (7 items)
MD5 Hash 1df70307a3b8ab5d23266156ea517cb3
  

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Description of Additional Materials

Description File Name
Codebook of research data file zkba17mu29_fd.txt zkba17mu29_kb.txt
Order and description of the variables of data file zkba17mu29_fd.txt zkba17mu29_iz.pdf

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Publications Directly Related to the Dataset

Publications Directly Related to the Dataset
Zweck, B. M. (2017). Entwicklung und Validierung eines Fragebogens zur psychischen Gefährdungsbeurteilung [Doctoral dissertation]. Ludwig-Maximilians-Universität München. Verfügbar unter: https://edoc.ub.uni-muenchen.de/21057/Datensatz 0335095

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Further Reading

Further Reading
Gemeinsame Deutsche Arbeitsschutzstrategie (GDA) (2012). Leitlinie Beratung und Überwachung bei psychischer Belastung am Arbeitsplatz. Berlin: Geschäftsstelle der Nationalen Arbeitsschutzkonferenz. Verfügbar unter: http://www.gda-portal.de/de/pdf/Leitlinie-Psych-Belastung.pdf?__blob=publicationFile&v=9 (Abgerufen am 18.06.2019)
Nachreiner, F., & Schütte, M. (2005). DIN EN ISO 10075-3 - Eine Ergonomie-Norm mit Anforderungen an Verfahren zur Messung psychischer Belastung, Beanspruchung und ihrer Folgen. Zeitschrift für Arbeits- und Organisationspsychologie, 49(3), 154-160. doi: 10.1026/0932-4089.49.3.154Datensatz 0181507
Wittig, P., Nöllenheidt, C., & Brenscheidt, S. (2013). Grundauswertung der BIBB/BAuA-Erwerbstätigenbefragung 2012 mit den Schwerpunkten Arbeitsbedingungen, Arbeitsbelastungen und gesundheitliche Beschwerden. Dortmund: Bundesanstalt für Arbeitsschutz und Arbeitsmedizin. Verfügbar unter: http://www.baua.de/de/Publikationen/Fachbeitraege/Gd73.pdf?__blob= publicationFile (Abgerufen am 18.06.2019)

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