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metadata language: German English

SRM Meitinger et al. Sequence Matters Data

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DOI
https://doi.org/10.7802/1668
Version
1
Resource Type
Dataset
Creator
  • Meitinger, Katharina (GESIS - Leibniz-Institut für Sozialwissenschaften)
  • Braun, Michael (GESIS - Leibniz-Institut für Sozialwissenschaften)
  • Behr, Dorothée (GESIS - Leibniz-Institut für Sozialwissenschaften)
Publication Date
2018
Classification
  • ZA:
    • Political Attitudes and Behavior
Description

  • Abstract

    The data set is the data set for the following article in Survey Research Methods: Meitinger, K., Braun, M., Behr, D.: "SEQUENCE MATTERS IN WEB PROBING: THE IMPACT OF THE ORDER OF PROBES ON RESPONSE QUALITY, MOTIVATION OF RESPONDENTS, AND ANSWER CONTENT"
Temporal Coverage
  • 2014-06 / 2014-06
Geographic Coverage
  • Germany / DE
  • United States / US
  • Great Britain / GB-GBN
  • Mexico / MX
  • Spain / ES
Sampled Universe
Population aged 18 to 65
Sampling
Online-Access panel
Collection Mode
    • Self-administered writings: Web-based
Data and File Information
  • Unit Type: Individual
    Number of Units: 1354
    Number of Variables: 103
    • File Name: MeitingeretalSRM.dta
      File Format: application/x-stata
      File Size: 270660
      Data Fingerprint: 40a120b220f560c012151abba94c3b57
      Method Fingerprint: MD5
    • File Name: Meitinger_et_al_Data_Set__Documentation.pdf
      File Format: application/pdf
      File Size: 617215
      Data Fingerprint: 8661d42ee7e5e05c544e3d83e871c6f8
      Method Fingerprint: MD5
Availability
Download
Free Access (without Registration)
Rights
CC BY-NC-ND 4.0
Publications
  • Meitinger, K., Braun, M., & Behr, D. (forthcoming). "SEQUENCE MATTERS IN WEB PROBING: THE IMPACT OF THE ORDER OF PROBES ON RESPONSE QUALITY, MOTIVATION OF RESPONDENTS, AND ANSWER CONTENT". Survey Research Methods;

Update Metadata: 2019-10-01 | Issue Number: 2 | Registration Date: 2018-07-19

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Meitinger, Katharina; Braun, Michael; Behr, Dorothée (2018): SRM Meitinger et al. Sequence Matters Data. Version: 1. GESIS Datenarchiv. Dataset. https://doi.org/10.7802/1668