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World Bank Group Country Survey 2019

Honduras, 2019
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Reference ID
HND_2019_WBCS_v01_M
Producer(s)
Public Opinion Research Group
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
3086

Data file: honduras_cos_fy19_datafile_final_.sav

Honduras World Bank Group Country Survey 2019 Dataset

Cases: 144
Variables: 336

Variables

g2_8
International television
g2_9
Local newspapers
g2_10
Other
g3_1
World Bank Group’s seminars/workshops/conferences
g3_2
Direct contact with World Bank Group
g3_3
e-Newsletters
g3_4
World Bank Group’s website
g3_5
Social media
g3_6
World Bank Group’s publications and other written materials
g4
Which Internet connection do you use primarily when visiting a World Bank Group website?
g5_1
Read, viewed or heard a story about the WBG in local media
g5_2
Read, viewed or heard a story about the WBG in global media
g5_3
Interacted with the WBG on Social Media
g5_4
Visited a WBG website
g5_5
Attended an event/conference hosted by the WBG
g5_6
Watched a webinar or online event hosted by the WBG
g5_7
Read some or all of a WBG research paper or publication
g5_8
Met professionally with WBG staff
g5_9
Read a WBG e-newsletter
h1
Which of the following best describes your current affiliation?
h2
Please identify the primary specialization of your work.
h3
Currently, do you professionally collaborate/work with the World Bank Group (IBRD/IDA, IFC, MIGA, ICSID) in your country?
h4
If yes, which of the following agencies of the World Bank Group do you primarily collaborate/ work with in Honduras?
h5
Do your projects involve both the World Bank and the IFC?
h6_1
Observer
h6_2
Use World Bank Group reports/data
h6_3
Engage in World Bank Group related/sponsored events/activities
h6_4
Collaborate as part of my professional duties
h6_5
Use World Bank Group website for information, data, research, etc.
h7
What’s your gender?
h8
What’s your age?
h9
Which best represents your geographic location?
h1r
Which of the following best describes your current affiliation? Recoding
h2r
Specialization recoded
Ind_mean
Mean of 28 Indicator Variables
b1_1r
Familiarity recoded
Total: 336
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