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Exam 1 Study Guide
Course: CRJS 100, Fall 2011School: University of Maryland
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to Introduction Criminology: Exam 1 Study Guide Concepts/Terms Politicization The definition of criminology- process of making, breaking, and the reaction of breaking the law) Correlation and causation Spuriousness Ideology Conflict and consensus theory- know names, Karl Marx The dark figure of crimeEcological fallacy Index crimes Bounding as a way of addressing memory decay and telescoping Is criminology a...
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to Introduction Criminology: Exam 1 Study Guide
Concepts/Terms
Politicization
The definition of criminology- process of making, breaking, and the reaction of breaking
the law)
Correlation and causation
Spuriousness
Ideology
Conflict and consensus theory- know names, Karl Marx
The dark figure of crimeEcological fallacy
Index crimes
Bounding as a way of addressing memory decay and telescoping
Is criminology a science? Yes and no. (lack predictive power, been able to show that
some programs do not work)
Hierarchy rule and series victimization
Quantitative and qualitative data/Cross-sectional (take data one time) and longitudinal
data (check up on data, continue questioning over a period of time)
Macro and micro level of measurement
Independent/dependent variables (independent variable results is the dependent variable
happening)
Items-Know general Crime trends
Uniform Reports (strengths & weaknesses)-index crimes, based on arrest data
smaller crimes arent put into data, hierarchy data (if theres a murder and rape, only
murder is shown)
National Crime Victimization Survey (strengths & weaknesses)-household survey,
bounding (call house back checking on crime report updates, asking if things have
happened since the last call)
Self-report surveys-people can lye, over reporting/under reporting,
Mala inse (wrong b/c its wrong) mala prohibita- (morally wrong)
Crime Patterns/Correlates of Offending/Victimization
Across
1) Time
2) Geographical area (west has most crime)(south most violent crime)(northeast-least)
3) Age (peek crime-late teens early 20s, then a drop)
4) Race (look at notes and arrest data)
5) Gender (crime is male dominated)
Homicide
Sexual Assault
Robbery
Assault
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University of Maryland - CRJS - 100
INTRODUCTIONTOSOCIOLOGYSociology100:Sections:06010609Fall2011COURSEDESCRIPTIONThis course is designed to be a broad introduction to the field of sociology. We will encounter someof the most influential theories used by sociologists to think about the
University of Maryland - CRJS - 100
9/12/11CriminologyChapter 3:Measuring crime- Catching the wind with a sieveResearch methodology- Vocabulary- Independent (IV) and Dependent variables (DV)- IV- causes of- DV- outcome (what we are attempting to explain)Does my assigning a paper pro
University of Maryland - CRJS - 100
9/19/11CriminologyDistribution of crime: Crime patternsScope of the crime problem (UCR data)- 11,250,000 index crimes 2007 (3370 per 100,000)- Murder rate of 6/100,000 is 5x the average rate for other 15 industrialized nationsScope of the crime probl
University of Maryland - CRJS - 100
9/18/11Criminology DiscussionNational Incident Based Reporting System (NIBRS) 1984 20% of US population Created to address short coming in the UCR 1) Enhance quality, quantity and timeliness of crime data collected by lawenforcement 2) Improve the
University of Maryland - CRJS - 100
9/21/11Criminology*Test chapters -1,3,4,11*Sex/Gender- Crime is a male driven phenomenonRace and Crime- AA comprise 15% of the population, but 39% of arrests for violent crime andapproximately 50% of homicides- Criminology is beginning to look beyon
University of Maryland - CRJS - 100
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University of Maryland - CRJS - 100
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University of Maryland - CRJS - 100
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University of Maryland - CRJS - 100
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University of Maryland - CRJS - 100
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University of Maryland - CRJS - 100
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University of Maryland - CRJS - 100
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University of Maryland - CRJS - 100
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University of Maryland - CRJS - 100
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University of Maryland - CRJS - 100
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University of Maryland - CRJS - 100
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University of Maryland - CRJS - 100
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University of Maryland - CRJS - 100
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University of Maryland - CRJS - 100
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University of Maryland - CRJS - 100
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University of Maryland - CRJS - 100
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University of Maryland - CRJS - 100
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University of Maryland - CRJS - 100
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University of Maryland - CRJS - 100
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University of Maryland - CRJS - 100
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University of Maryland - CRJS - 100
BU - SM - 221
Location Score4th floor4th floor4th floor4th floor4th floor4th floor4th floor4th floor4th floor4th floor4th floor4th floor4th floor4th floor4th floor4th floor4th floor4th floor4th floor4th floor4th floor4th floor4th floor4th floor
BU - SM - 221
Process: Fords driving by SMGSummary ResultsXOBSEXPEXP FREQ05162333415161708090100Mean36/201.8 Fords per minute
BU - SM - 221
genderage0111111011111111111010111100111111101011101111111100001010011100011100111110000001010110011100married324345333454332423232433
BU - SM - 221
BU - SM - 221
Z-Table00.10.20.30.40.50.60.70.80.911.11.21.31.41.51.61.71.81.922.12.22.32.42.52.62.72.82.93Area between 0 and z00.00000.03980.07930.11790.15540.19150.22570.25800.28810.31590.34130.36430.38490.40320.41920.4
BU - AC - 221
Count - gender codegender codefemalemaleTotal ResultVioCodenogenderfemalemalenoyes16.223404 44.7765968.7765957 24.223404yes101525Total Result5118693.8414588207 if chi-sq>3.84, reject Ho0.0023367982 pvalue9.2641741722 calc613394
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