CJ 605 Spring 06:
Sequence of Topics and Readings
DATE OF LAST UPDATE: 4/18/06
Sequence
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, including el Nino. The
readings and assignments are for the week they are DUE.
You will see that next to each reading are some codes.
CD = on a CD that will be distributed. These are usually PDf or htm
files.
CLICK HERE = ON THE DEDICATED WEBSITE - accessible from your browser
Files that begin with HLML refer to note files I have generated; these are
available online.
For the main texts:
R&B = Raudenbush and Bryk
RBCC=Raudenbush, Bryk, Cheong,Congdon,DuToit
For the recommended texts:
K&DL = Kreft and deLeeuw
S&B = Snijders and Bosker
|
Class Date |
Topics / Readings DUE on this week |
| 1/19 | Monopoly in Atlantic City. 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. |
|
1/26 |
Current issues in neighborhood effects; how to create an aggregate file in SPSS and
conduct your own contextual analysis; audit functions in secondary data
analysis;
QUESTIONS to consider while
you read |
|
2/2 |
Review of aggregation procedure and results;
understanding the aggregation problem; theoretical and statistical
implications; statistical power questions READ
QUESTIONS to consider while
you read |
|
2/09 |
HLM SUBMODEL 1: One-way ANOVA with random effects ROUND 2: intraclass correlation; the statistical test; thinking about local sentiment READ:
RECOMMENDED:
QUESTIONS to consider while
you read |
|
2/16 |
HLM SUBMODEL 2: One-way ANCOVA with random effects; more on race and class and police READ
RECOMMENDED: K&DL, 30-32 QUESTIONS to consider while
you read |
|
2/23 |
HLM SUBMODEL 2: One-way ANCOVA with random effects: ROUND
2 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 |
HLM SUBMODEL 4 and maybe the full model: MAOR and IASAO
QUESTIONS to consider while
you read |
|
3/23 |
HLM FULL MODEL: Intercepts and Slopes as Outcomes (IASAO); what does it
mean to predict varying slopes? READ:
QUESTIONS to consider while
you read |
| 3/30 |
More on the full model: Conceptual and empirical questions: Varying slopes at LI; predicting LI slopes with LII variables. What does this mean? READ:
QUESTIONS to consider while
you read |
|
4/6 |
The general probability model: Binary and count outcomes
and a fear example using the full model (IASAO) READ:
QUESTIONS to consider while
you read |
|
4/13 |
The cross-classified model - special guest speaker; also: Residuals: Doing Diagnostics; Variables in the file; Plots you want to generate; Read:
QUESTIONS to consider while
you read |
|
4/20 |
Changes over time; implications for evaluation READ:
Recommended
QUESTIONS to consider while
you read |
|
4/27 |
POSTER SESSION If we get time: A host of last minute items: meta analysis via HLM; weighting; multiparameter tests 5/1 IS LAST DAY OF SCHEDULED CLASSES. 5/2 AND 5/3 ARE STUDIES. EXAMS BEGIN ON 5/4 |
|
5/4 |
SECOND IN-CLASS EXAM |
|
5/10 |
Final Examination Period: final version of paper due |