DATE OF LAST UPDATE: 1/21/08
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 |
| 1/22 | 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 |
|
1/29 |
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 |
|
2/5 |
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 |
|
2/12 |
METHODS: HLM SUBMODEL 1: One-way ANOVA with random effects ROUND 2:
intraclass correlation; the statistical test
RECOMMENDED:
QUESTIONS to consider while
you read |
|
2/19 |
METHODS: HLM SUBMODEL 2: One-way ANCOVA with random effects;
RECOMMENDED: K&DL, 30-32
QUESTIONS to consider while
you read |
|
2/26 |
HLM SUBMODEL 2: One-way ANCOVA with random effects: ROUND
2
READ:
QUESTIONS to consider while
you read |
|
3/4 |
HLM SUBMODEL 3: Random coefficients regression model. |
| 3/11 | Panama City / Daytona Beach Spring Break |
|
3/18 |
METHODS: HLM SUBMODEL 4 and maybe the full model: MAOR and IASAO
QUESTIONS to consider while
you read |
|
3/25 |
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 |
| 4/1 |
METHODS: Observations over time THEORY: Changes over time:
life course
criminology; trajectory models vs. growth curve models; evaluation models
QUESTIONS to consider while
you read |
|
4/8 |
METHODS: Residual Analysis READ:
QUESTIONS to consider while you read |
|
4/15 |
METHODS: The general probability model: Binary,
multinomial, and count outcomes THEORY: A delinquent retention example using the full model (IASAO); impacts of crime on trust READ:
QUESTIONS to consider while you read |
|
4/22 |
|
|
4/29 |
POSTER SESSION |
|
5/13 |
SECOND IN-CLASS EXAM |
|
5/14 |
Final Examination Period: final version of paper due |