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Unit 9
Secondary Analysis
• Using data collected by other researchers to address a new research question.
• A secondary analysis is when researchers revisit data that was collected for a different reason and analye it again to answer a new research question.
Example• DAWN Data: Drug overdoses in emergency
rooms• DAWN: What is the most common drug
mentioned in drug overdoses? - opiates• Secondary Analysis– Is there a difference in ethnicity and type of drug
used?– Is there a difference in region?– Is there a difference in gender?
Case Study: Gang Membership and Car Lights
• What was the rumor?• How could you gather data to determine
whether or not this rumor was true?
Data from Agency Records or Archives
• Published crime-related statistics• Non-published agency records
Case Study: Sexual Asphyxia
• What is sexual asphyxia?
Case Study: Sexual Asphyxia
• How could you collected data about sexual asphyxia?
Florida Data
• Findings: White young males.• Weaknesses (validity issues)?
Case Study: Males found dead in their bed in the 1990s
• Mission Oriented Serial Killer?
Amyl Nitrite
Validity Issues
• Understanding how agency data are collected is the best guard against issues of validity.
Example: The Victimization of Fraud
• Fraud• The UCR – Victims of fraud are older persons.• The NCVS – Victims of fraud are younger
persons?
• Which data set is most valid?• The UCR or the NCVS?
Content Analysis
• Content analysis is the study of communication.
• Counting or rating data is often called coding.• Manifest coding = counting• Latent coding = rating
Example
• Has violence increased in Children’s Cartoons?• Bugs Bunny Cartoons (1941 – 1964)• Sponge Bob Square Pants (1999 – 2009)• Sampling• Manifest coding• Latent coding
Example
• http://www.youtube.com/watch?v=HsAVmbExqDY&feature=fvst
• Over 6,000 salvia videos?• Manifest Coding?• Latent Coding?• Should Salvia be made illegal?– GHB