Cybercrime in America amid COVID-19: The initial results from a natural experiment J Hawdon, K Parti, TE Dearden American Journal of Criminal Justice 45 (4), 546-562, 2020 | 135 | 2020 |
Gender and white-collar crime: Convenience in target selection T Dearden, P Gottschalk Deviant Behavior 42 (11), 1485-1493, 2021 | 49 | 2021 |
Trust: The unwritten cost of white-collar crime TE Dearden Journal of Financial Crime 23 (1), 87-101, 2016 | 45 | 2016 |
An assessment of adults’ views on white-collar crime TE Dearden Journal of Financial Crime 24 (2), 309-321, 2017 | 36 | 2017 |
How modern psychology can help us understand white-collar criminals TE Dearden Journal of Financial Crime 26 (1), 61-73, 2019 | 22 | 2019 |
Cybercrime, differential association, and self-control: knowledge transmission through online social learning TE Dearden, K Parti American Journal of Criminal Justice 46 (6), 935-955, 2021 | 15 | 2021 |
Institutional anomie theory and cybercrime—cybercrime and the American dream, now available online TE Dearden, K Parti, J Hawdon Journal of Contemporary Criminal Justice 37 (3), 311-332, 2021 | 14 | 2021 |
Changes in online illegal drug buying during COVID-19: assessing effects due to a changing market or changes in strain using a longitudinal sample design J Hawdon, K Parti, T Dearden American journal of criminal justice 47 (4), 712-734, 2022 | 10 | 2022 |
Follow the money: Analyzing darknet activity using cryptocurrency and the Bitcoin blockchain TE Dearden, SE Tucker Journal of Contemporary Criminal Justice 39 (2), 257-275, 2023 | 8 | 2023 |
Understanding the overlap of online offending and victimization: using cluster analysis to examine group differences K Parti, TE Dearden, J Hawdon Victims & Offenders 17 (5), 712-734, 2022 | 6 | 2022 |
Learning and human computer interactions: Does Wii bowling transfer to real bowling RM Miller, YHW Tsui, T Dearden, SL Wolthuis, T Stanley Retrieved October 14, 2012, 2010 | 6 | 2010 |
Perceptions of white-collar crime registries JO Jasperson, TE Dearden, RM Miller Journal of Financial Crime 29 (2), 639-652, 2022 | 4 | 2022 |
Understanding the use of artificial intelligence in cybercrime K Parti, TE Dearden, S Choi | 3 | 2023 |
Differentiating Insider and Outsider Cyberattacks on Businesses TE Dearden, K Parti, J Hawdon, R Gainey, T Vandecar-Burdin, ... American Journal of Criminal Justice 48 (4), 871-886, 2023 | 3 | 2023 |
Convenience theory and cybercrime opportunity: an analysis of online cyber offending TE Dearden, P Gottschalk Deviant Behavior 45 (3), 348-360, 2024 | 2 | 2024 |
Can institutional anomie theory predict victimization? An experimental survey examining institutional anomie and affinity fraud TE Dearden, M Scaptura Journal of Financial Crime 30 (4), 1006-1020, 2023 | 2 | 2023 |
The conjunction fallacy in profiles of victims of homicide TE Dearden Journal of investigative psychology and offender profiling 15 (2), 187-199, 2018 | 2 | 2018 |
Cybercrime victimization among Virginia businesses: frequency, vulnerabilities, and consequences of cybervictimization J Hawdon, K Parti, T Dearden, T Vandecar-Burdin, J Albanese, R Gainey Criminal Justice Studies 36 (3), 269-291, 2023 | 1 | 2023 |
Who Responded to Equifax? Self-Protection Strategies When Guardians Fail T Dearden Victims & Offenders 16 (8), 1149-1160, 2021 | 1 | 2021 |
Causal Pathways to White-collar Offending TE Dearden Indiana University, 2015 | 1 | 2015 |