Chapter 5 Flashcards
have varying goals including crime prevention, effective use of police resources, or suspect location.
Policing strategies
requires officers to focus heavily on responding to calls for service and solving crimes in a reactive manner with limited input or cooperation from residents.
Traditional model of policing
also involves partnerships with the community, gathering intelligence, and relying on evidence-based practices to solve crimes.
Traditional policing
strategies typically involve a reactive approach to law enforcement, focused on responding to crimes after they occur rather than preventing them.
Traditional policing
Fostering community partnerships, more in-depth problem solving capacity
Community-oriented policing
involves the use of partnerships between municipal agencies, businesses, individual citizens, non-profit groups and the media in order to develop methods to police the community.
Community oriented policing
These organizations work together to address criminal matters and reduce crime
Community oriented policing
is a policing strategy based on the notion that community interaction and support can help control crime and reduce fear, with community members helping to identify suspects, detain vandals and bring problems to the attention of police
Community oriented policing
that involves the identification and analysis of specific crime and disorder problems, in order to develop effective response strategies.
Problem-oriented policing
Policing strategy
means diagnosing and solving problems that are increasing crime risks, usually in areas that are seeing comparatively high levels of crime (e.g., “hot spots”)
Problem-oriented policing (POP)
is challenging in that agencies need to diagnose and solve what could be any of a wide range of crime-causing problems.
Problem-oriented policing (POP)
Types of data are?
Nominal
Ordinal
Interval
Ratio
the data can only be categorized
Nominal
the data can be categorized and ranked
Ordinal:
the data can be categorized, ranked, and evenly spaced
Interval:
the data can be categorized, ranked, evenly spaced, and has a natural zero.
Ratio:
is labelled into mutually exclusive categories within a variable. These categories cannot be ordered in a meaningful way.
Nominal or Nominal data
preferred mode of transportation is a nominal variable, because the data is sorted into categories: car, bus, train, tram, bicycle, etc.
Nominal data
is the least precise and complex level.
Nominal data
The word nominal means _____ so this kind of data can only be labelled
“in name,”
It does not have a rank order, equal spacing between values, or a true zero value
Nominal data
You can categorize your data by labelling them in mutually exclusive groups, but there is no order between the categories.
Nominal data
Categorize of normal data are
City of birth
Gender
Ethnicity
Car brands
Marital status
Top 5 Olympic medallists
Language ability (eg, beginner, intermediate, fluent)
Likert-type questions (e.g.. very dissatisfied to very satisfied)
Ordinal
You can categorize and rank your data in an order, but you cannot say anything about the intervals between the rankings
Ordinal
Although you can rank the top 5 Olympic medallists, this scale does not tell you how close or far apart they are in number of wins.
Ordinal
You can categorize, rank, and infer equal between neighboring data points, but there is no true zero point
Interval
The difference between any two adjacent temperatures is the same, one degree. But zero degrees is defined differently depending on the scale it doesn’t mean an absolute absence of temperature.
Interval
The same is true for test scores and personality inventories. A zero on a test is arbitrary, it does not mean that the test-taker has an absolute lack of the trait being measured.
Interval
Test scores (e.g.. IQ or exams)
Personality inventories
Temperature in Fahrenheit or Celsius
Interval
You can categorize, rank, and infer equal
intervals between neighboring data points, and there is a true zero point.
Ratio
A true zero means there is an absence of the variable of interest. In ratio scales, 0 does mean an absolute lack of variable
Ratio
Categorize rank and infer equal of ratio are?
Height
Age
Weight
Temperature in Kelvin
the Kelvin temperature scale, there are no negative degrees of temperature - zero means an absolute lack of thermal energy what types of data is this?
Ratio