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Lecture 4

CRM204: Week 4 (Sept. 26th).docx

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Ryerson University
CRM 204
Smita Tyagi

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: - 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 Preparedness Canada: - 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 Sampling Methods 1. Probability Sampling 2. Non-Probability Sampling 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 order, etc) - Stratified sampling (dividing the population into subgroups, every element is applied to only one stratum) - 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
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