Barbara C Nienstedt
Biographic Data
| ID | 3846514 |
|---|---|
| NAME | Barbara C Nienstedt |
| GIVEN NAMES | Barbara C |
| FAMILY NAME | Nienstedt |
| SIGNATURE | NIENSTEDT B C |
| AFFILIATIONS | Arizona State University |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 60 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1982 |
| LATEST PUBLICATION YEAR | 1989 |
| H-INDEX | 2 |
Reexamining the use of seriousness weights in an index of crime
The Impact of a Crime Wave
In 1980, Phoenix, Arizona, experienced a "crime wave." A structural equation model based on a two-wave survey of the population shows that the crime wave had a powerful impact that was almost a mirror image of what the fear of crime literature would predict. Demographic groups thought to be most fearful (e.g., women and the elderly) were least affected while groups thought to be least fearful (e.g., well-educated whites) were affected most. In ad…
Uniform Crime Reports as Organizational Outcomes
John Kitsuse and Aaron Cicourel have suggested that official crime rates are a function of the organizational structures of police departments. In three “natural experiments,” we examine this hypothesis with time series analyses of Uniform Crime Reports. Our findings suggest that official crime rates are a function of organizational structures related to (1) formal complaint investigation; (2) hierarchial control of crime processing; and (3) disp…
Uniform Crime Reports as Organizational Outcomes
John Kitsuse and Aaron Cicourel have suggested that official crime rates are a function of the organizational structures of police departments. In three “natural experiments,” we examine this hypothesis with time series analyses of Uniform Crime Reports. Our findings suggest that official crime rates are a function of organizational structures related to (1) formal complaint investigation; (2) hierarchial control of crime processing; and (3) disp…
The Impact of a Crime Wave
In 1980, Phoenix, Arizona, experienced a "crime wave." A structural equation model based on a two-wave survey of the population shows that the crime wave had a powerful impact that was almost a mirror image of what the fear of crime literature would predict. Demographic groups thought to be most fearful (e.g., women and the elderly) were least affected while groups thought to be least fearful (e.g., well-educated whites) were affected most. In ad…
Reexamining the use of seriousness weights in an index of crime
Uniform Crime Reports as Organizational Outcomes
John Kitsuse and Aaron Cicourel have suggested that official crime rates are a function of the organizational structures of police departments. In three “natural experiments,” we examine this hypothesis with time series analyses of Uniform Crime Reports. Our findings suggest that official crime rates are a function of organizational structures related to (1) formal complaint investigation; (2) hierarchial control of crime processing; and (3) disp…
The Impact of a Crime Wave
In 1980, Phoenix, Arizona, experienced a "crime wave." A structural equation model based on a two-wave survey of the population shows that the crime wave had a powerful impact that was almost a mirror image of what the fear of crime literature would predict. Demographic groups thought to be most fearful (e.g., women and the elderly) were least affected while groups thought to be least fearful (e.g., well-educated whites) were affected most. In ad…
Reexamining the use of seriousness weights in an index of crime
Criminology (3 works) · Political science (3 works) · Psychology (3 works) · Crime Patterns and Interventions (2 works) · Crime, Illicit Activities, and Governance (2 works) · Law (2 works) · Policing Practices and Perceptions (2 works) · Complaint (1 work) · Computer Science (1 work) · Computer security (1 work)