Date of last update: 4/28/2010
The sequence of topics and readings, as best as I can predict them at this point, appear below. All of this is subject to change depending upon numerous factors so it is a good idea to double check this page (be sure to reload the page in your browser) before you tie in to the readings for the week. The readings and assignments are for the week they are DUE.
Codes
CD = on a CD that will be distributed. These are usually PDf
files.
HLML = note files I have generated; these are
available on the CD
Main texts:
R&B = Raudenbush and Bryk
RBCC=Raudenbush, Bryk, Cheong,Congdon,DuToit; this is the program
manual for HLM 6
Recommended texts:
K&DL = Kreft and deLeeuw
S&B = Snijders and Bosker
|
Class Date |
Topics / Readings DUE on this week |
|
1/19 WK1 |
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 |
|
1/26 |
METHODS: Current issues in researching neighborhood effects; 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
QUESTIONS to consider while you read |
|
2/2 |
METHODS: Review of aggregation procedure and results;
understanding the aggregation problem; theoretical and statistical
implications; statistical power questions READ
QUESTIONS to consider while
you read |
|
2/9 |
METHODS: HLM SUBMODEL 2:
RECOMMENDED:
QUESTIONS to consider while
you read |
|
2/16 |
READ: HLML03 - REVISED - NOT VERSION ON CD - DISTRIBUTED VIA EMAIL DO YOUR HOMEWORK AND COME PREPARED PRACTICE WITH ANCOVA INTRODUCING MAOR |
|
2/23 |
HLM SUBMODEL 2 & 3 -combining ANCOVA with MAOR
READ: QUESTIONS to consider while you read |
|
3/2 |
HLM SUBMODEL 3: Random coefficients regression model. |
| 3/9 | Panama City / Daytona Beach Spring Break |
|
3/16 |
METHODS: HLM SUBMODEL 4: RCR (random coefficients regression)
QUESTIONS to consider while
you read |
|
3/23 |
METHODS: HLM FULL MODEL: Intercepts and Slopes as Outcomes (IASAO); what does it
mean to predict varying slopes? THEORY: Impacts of Crime and Collective Efficacy READ:
QUESTIONS to consider while
you read |
| 3/30 WK10 |
METHODS: Observations over time; A full model 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 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. |
|
4/6 |
METHODS: Time McGarrell EF, Corsaro N, Hipple NK, Bynum TS. “Project Safe Neighborhoods and violent crime trends in US cities: Assessing violent crime impact.” Journal of Quantitative Criminology in press. 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. |
|
4/13 |
METHODS: The general probability model: Binary,
multinomial, and count outcomes; calculating R squared THEORY: A delinquent retention example using the full model (IASAO); impacts of crime on trust READ:
QUESTIONS to consider while you read |
|
4/20
|
METHODS: A three level model Sampson, R. J., Raudenbush, S. W., & Earls, F. (1997). Neighborhoods and violent crime: A multilevel study of collective efficacy. Science, 277(15), 918-924. (CD) (HLM EXAMPLE) |
|
4/27 |
POSTER SESSION |
|
|
|
|
5/11 5/12 |
SECOND IN-CLASS EXAM FINAL PAPER DUE 5 PM |