Research DataOpen Access

Data for an integrated model to predict the intention to vaccinate against Covid-19

Description

Metadata

Authors
Contributors
Further Persons:
DOI
http://dx.doi.org/10.17192/fdr/154
Faculty
FB02:Wirtschaftswissenschaft
Language
eng
Data types
DatasetModel
Keywords
Social ScienceCovid-19
DFG-subjects
112-03 Betriebswirtschaftslehre
DDC-Numbers
650
License
Creative Commons Attribution 4.0
URI
https://data.uni-marburg.de/handle/dataumr/223
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Files
Document
Type
Size
Dataset.csv
42.72 KB
fSquare-Plot_Unvaccinated.pdf
38.75 KB
fSquare-Plot_Vaccinated.pdf
39.56 KB
Main Analyses.docx
29.15 KB
Main Analyses.pdf
98.85 KB
Bootstrapping.xlsx
45.71 MB
Permutation(GroupAnalysis).xlsx
10.32 MB
Questionnaire.docx
23.47 KB
Questionnaire.pdf
122.25 KB
Readme.txt
186 B
Statistical Power.pdf
26.02 KB
Basic Algorithm.xlsx
1.61 MB
PLSPredict.xlsx
12.94 MB
Leyer, Michael; Wichmann, Johannes; Gesk, Tanja Sophie: Data for an integrated model to predict the intention to vaccinate against Covid-19. . DOI: http://dx.doi.org/10.17192/fdr/154.

Creative Commons license

Creative Commons Attribution 4.0
Except where otherwised noted, this item's license is described as Creative Commons Attribution 4.0

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 2023-01-14 23:23:45
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