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Class Date
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Topics / Readings DUE on this week
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1/23
WK1
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Hello. What we are about. How to get ready for this course. How to create
space for this course in your life and not lose your mind. MLM: what
does it do? Main areas of application in criminology and criminal
justice and sociology and psychology |
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1/30
WK2
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METHODS: Current issues in researching neighborhood effects; understanding aggregation problems; reviewing how to create an aggregate file in SPSS and
conduct your own contextual analysis; audit functions in secondary data
analysis
THEORY:
key issues in neighborhood research; neighborhoods and health; cross-neighborhood effects and health;
conceptual and empirical challenges of contextual analyses
READ
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Sampson, R. J., Morenoff, J. D., & Gannon-Rowley, T. (2002).
Assessing "neighborhood effects": Social processes and new
directions in research. Annual Review of Sociology, 28, 443-478. (CD)
- Thorndike, E. L. (1939). On the fallacy of
imputing the correlations found for groups to the individuals in
smaller groups composing them. American Journal of Psychology,
52, 122-124.
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HLML00CC.PDF (HLML) - please read over regression examples carefully; answer
questions in the text
- R&B: 1 - 10
QUESTIONS to consider while
you read |
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2/6
WK3
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METHODS: Review of aggregation procedure and results;
understanding the aggregation problem; theoretical and statistical
implications; statistical power questions
THEORETICAL: Connecting micro and macro; why context matters for everything
HLM SUBMODEL 1: the one-way anova via HLM; steps to creating the
HLM file; interpreting output READ
- Liska, A. E. (1990). The Significance of
aggregate dependent variables and contextual independent
variables for linking macro and micro theories. Social
Psychology Quarterly, 53(4), 292-301.
- RECOMMENDED ONLY: Sampson, R. J. (2003). The Neighborhood
context of well-being. Perspectives in Biology and Medicine,
46(3 (Supplement)), S53-S64.
- R&B: 16-24;38-41; 69-72
- HLML01.PDF
- RBCC 1-46
- RECOMMENDED ONLY: K&DL 22-29; S&B 6-16
QUESTIONSto consider while
you read
PAPER: common data file made available; file sharing agreements; starter bibliographies; notify instructor in writing of suggested alternate arrangements.
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2/13
WK4
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METHODS: HLM SUBMODEL 2: ANCOVA with level 1 predictors;
READ:
- TBA
- HLML04DD
RECOMMENDED:
- Shinn, M., & Toohey, S. M. (2003). Community
contexts of human welfare. Annual Review of Psychology, 54,
427-459.
QUESTIONS to consider while
you read
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2/20
WK5 |
METHODS: HLM SUBMODEL 3: RCR
THEORY:
READ:
1. HLML03
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2/27
WK6
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In-class midterm |
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3/5
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Panama City / Daytona Beach Spring Break |
3/12
WK7 |
HLM SUBMODEL 4: MAOR
HLM SUBMODEL 4+2: MAOR + ANCOVA
METHODS: Centering - conceptually and operationally
THEORY: Fear of crime, perceptions of risk, and perceptions of incivilities; cynicism and views about police
READ:
1. Robinson J, Lawton B, Taylor R B, Perkins D D, 2003, "Longitudinal Impacts of Incivilities: A Multilevel Analysis of Reactions to Crime and Block Satisfaction" Journal of Quantitative Criminology 19 237-274 (available here: http://www.rbtaylor.net/pub_jqc_2003.pdf ) (we will spend MORE of class time on this reading)
2.
Sampson R J, Bartusch D J, 1998, "Legal cynicism and (subcultural?) Tolerance of deviance: the neighborhood context of racial differences" Law and Society Review 32 777-804 (This is the file sampsonlsr in the reading bundle) (we will spend LESS of class time on this reading)
3. hlml03 - only pages 1-3 - http://www.rbtaylor.net/hlml03_20120119.pdf
Recommend: R&B: 27-30, 70-74
QUESTIONS to consider while
you read |
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3/19
WK8
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METHODS: The general probability model: Binary,
multinomial, and count outcomes
THEORY: Impacts of schools on weapons carrying
READ:
- HLML15
- Wilcox P, Clayton R R, 2001, "A Multilevel analysis of school-based weapon possession" Justice Quarterly 18 509-541
Recommend: R&B: 291-309
QUESTIONS to consider while
you read
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3/26
WK9
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METHODS: HLM FULL MODEL: Intercepts and Slopes as Outcomes (IASAO); what does it
mean to predict varying slopes?
THEORY: Distinguishing fear and crime risk
READ:
1. Rountree P W, Land K C, 1996, "Perceived risk versus fear of crime: Empirical evidence of conceptually distinct reactions in survey data" Social Forces 74 1353-1376 (rountree_sf in bundle) Read this piece carefully. Pay special attention to the cross-level interactions - how were they done, what do they mean cohceptually? We will spend a lot of time in class going over tables 2-5, and being sure you understand the equations (and accompanying ideas!) in the text.
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4/2
WK10
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METHODS: Time: A full model;
THEORY: Getting scared walking down an alley
READ:
1. Wang, K., and Taylor, R. B. (2006) Simulated walks through dangerous alleys: Impacts of features and progress on fear. Journal of Environmental Psychology 26 269-283 (available here: http://www.rbtaylor.net/pub_wang_taylor_jep.pdf )
2. HLML06 (http://www.rbtaylor.net/hlml06_20120119.pdf)
QUESTIONS to consider while
you read |
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4/9
WK11
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METHODS and THEORY: Time
and program impacts;
READ:
1. McGarrell E, Corsaro N, Hipple N, Bynum T, 2010, "Project Safe Neighborhoods and Violent Crime Trends in US Cities: Assessing Violent Crime Impact" Journal of Quantitative Criminology 26 165-190
[ added to reading bundle folder on Bboard] (we will spend MORE of class time on this reading)
2.
Ratcliffe, J. H., Taniguchi, T., and Taylor, R. B. (2009). "The crime reduction effects of public CCTV cameras: A multi-method spatial approach." Justice Quarterly, 26(4), 746-770. ( available here: http://www.rbtaylor.net/pub_jq_2009.pdf ) (we will spend LESS of class time on this reading)
QUESTIONS to consider while
you read |
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4/16
WK12
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METHODS: A three level model of two different types; examining residuals
THEORY: Collective efficacy
READ:
1. Sampson R J, Raudenbush S W, Earls F, 1997, "Neighborhoods and violent crime: A Multi-level study of collective efficacy" Science 277 918-924 (we will spend MORE of class time on this reading)
2. Duncan T E, Duncan S D, Okut H, Strycker L A, Hix-Small H, 2003, "A Multilevel contextual model of neighborhood collective efficacy" American Journal of Community Psychology 32 245-252 (we will spend LESS of class time on this reading)
QUESTIONS to consider while
you read
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4/23
WK13 |
WRAP UP: topics not yet covered (deviance, model comparisons, more on residuals and R squared as needed; statistical power considerations) current and future directions (cross-classified models aka multiple membership models (MMC); monte carlo markov chain (MCMC); measurement models; |
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4/30
WK14
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POSTER SESSION
MONDAY 4/30 IS
LAST DAY OF SCHEDULED CLASSES. 5/1 AND 5/2 ARE STUDY DAYS. EXAMS BEGIN ON
THURSDAY 5/3 |
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5/3 |
PAPER DUE via upload using SafeAssign |
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5/7 |
SECOND IN-CLASS EXAM
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