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Lecture 4

CCJS 300 Lecture Notes - Lecture 4: Voluntary Manslaughter, Motor Vehicle Theft, Multistage Sampling


Department
Criminology and Criminal Justice
Course Code
CCJS 300
Professor
Alan Lehman
Lecture
4

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UNIFORM CRIME REPORTS
1.) Violent Crime Index:
-Murder, non-negligent manslaughter
-Forcible rape
-Robbery
-Aggravated assault
2.) Property Crime Index:
-Burglary
-Larceny-theft
-Motor vehicle theft
-Arson, listed but not included in the index because there is grey area
-Crime rate: cases per (some number) usually 100,000 population
FACTORS AFFECTING THE UCR’s
-Look at figure on page 87
-Recorded statistics are only a portion of true crime rate
-Increase in crime rate mid 60’s-1970’s
-Most federal cases, “victimless” crimes, white collar crimes, NOT included
UCR REDESIGN
-1977, call for major redesign in terms of measurement
-Took over 10 years
-Conversion to NIBRS
-New system: uses 52 data elements (or variables)
SAMPLING
-How we get our data
-Key principle: representativeness
-Two types: probability and non-probability
-Probability:
-EPSEM rule, equal probability of selection method
-Enables use of statistical procedures, need a sampling frame
1.) Simple random (best kind)
2.) Stratified random sampling (proportionate and disproportionate/oversampling)
3.) Cluster sampling (field interviews)
4.) Systematic sampling (every nth item on a list)
5.) Multistage sampling
-Non-probability:
-Anything that violates EPSEM
1.) Quota sampling (a non-probability stratified sample)
2.) Haphazard or convenience sampling
3.) Purposive (judgmental) sampling (includes focus groups & mock juries)
4.) Snowball (network) sampling (exploratory studies)
5.) Deviant case (extreme case) sampling
6.) Sequential sampling (like purposive sampling, keep accumulating cases until you run
out of time or at end of economic resources)
SAMPLE SIZE, PROBABILITY & THE CENTRAL LIMIT THEOREM
-Sample should be about 30 cases+
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