DOCUMENT

Survey 2018.pdf (262.9 kB)

.DTA

General+Cybercriminology+Survey+2019_November+29+2021_clean.dta (1.49 MB)

DATASET

General+Cybercriminology+Survey+2019_November+29+2021_clean.sav (1.12 MB)

DATASET

General+Cybercriminology+Survey+2019_November+22,+2021_08.19.csv (1.01 MB)

DOCUMENT

2019 Longitudinal Survey of Cybercriminology Codebook.pdf (348.26 kB)

DOCUMENT

README.rtf (2.65 kB)

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6 files

Longitudinal Survey of Cybercriminology – November 2019

Version 3 2023-12-15, 15:33

Version 2 2023-10-04, 17:54

Version 1 2021-11-30, 19:15

dataset

posted on 2023-10-04, 17:54 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.

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

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.