Cross-Sectional Survey of Cybercriminology – November 2019

https://doi.org/10.7294/17092283

dataset

posted on 2023-12-15, 15:33 authored by Thomas DeardenThomas Dearden, Katalin PartiKatalin Parti, James HawdonJames Hawdon

This survey is part of a series of cross-sectional online polls. The series begins in 2019. Questions focus around three main areas, cyberoffending, cybervictimization, and criminology. Demographic and other computer use questions are also included.<p></p>

Funding

The Institute for Culture, Society, and Environment at Virginia Tech

The Center for Peace Studies and Violence Prevention at Virginia Tech. Grant number 105-19

The Integrated Security Destination Area at Virginia Tech

History

Related Materials

1.
URL - References https://doi.org/10.1007/s12103-021-09655-4
2.
URL - References https://doi.org/10.1007/s12103-020-09534-4
3.
URL - References https://doi.org/10.1177/10439862211001590

Publisher

University Libraries, Virginia Tech

Location

U.S. Based online survey

Corresponding Author Name

Thomas Dearden

Corresponding Author E-mail Address

tdearden@vt.edu

Files/Folders in Dataset and Description

Survey 2018.pdf: Survey in PDF format General+Cybercriminology+Survey+2019_November+22,+2021_08.19.csv – CSV Dataset, direct export of data using text General+Cybercriminology+Survey+2019_November+29+2021_clean.dta – SPSS Dataset, direct export of data using data labels – This is the recommended file for importing into other programs (e.g., R, Stata, etc.) General+Cybercriminology+Survey+2019_November+29+2021_clean.sav- This is a Stata data file. Import was created using SPSS. The same file would be created by importing the SPSS dataset using Stata’s import function. 2019 Longitudinal Survey of Cybercriminology Codebook.pdf: Codebook including frequency distribution for each question.