CRM 204 – Introduction to Criminal Justice Research and Statistics (September 26 , 2012) th
Review of articles:
- Harris, R.J.A., & Hanson, K.R. (2004). Sex offender recidivism: A simple question. Public Safety and
Emergency Preparedness Canada: www.publicsafety.gc.ca/res/cor/sum/cprs200407_1-eng.aspx
- Smith, P., Goggin, C., & Gendereau, P.(2002). The effects of prison sentences and intermediate
sanctions on recidivism: General effects and individual differences. Public Safety and Emergency
- Wortley, S. (1999). A Northern taboo: Research on race, crime and criminal justice in Canada. Canadian
Journal of Criminology, 41 (2), 261-275.
- Design Problems (Class exercise)
Sampling (Chapter 5)
- Units of analysis (participants of study) developing aspects that closely
- Population approximates the most important
- Sample elements of their population)
- Sampling frame (researchers - Sampling units
operationalize their population by - Assessing population generalizability
1. Probability Sampling
2. Non-Probability Sampling
- Simple random sampling (Random digit dialing)
- Simple random sampling done with or without replacement sampling
- From what population were the cases selected?
- What method was used to select cases from this population?
- Do the cases that were studied represent, in the aggregate, the population
from which they were selected?
- Systematic random sampling (watch out for pre-existing order or pattern, such as alphabetical
- Stratified sampling (dividing the population into subgroups, every element is applied to only one
- Stratified random sampling (specific random sampling, Ex: gun control survey - voters,
firearms/license, victims, sellers, rural/urban population, hunters = these people NEED to be in
your survey, and you can’t risk them not being in, but you are random within these groups)
- Cluster sampling / Multistage cluster sampling (naturally occurring, mixed aggregate of elements
in the population with each element appearing in one and only one cluster, Ex: math skills) Non-Proba