Guide to Course Selection: Some Examples

Participant A

(This individual has had only one course in the scope and methods of social research):

First Session
Mathematics for Social Scientists I
Introduction to Computing
Introduction to Statistics and Data Analysis I

Second Session
Introduction to Statistics and Data Analysis II

Participant B

(This individual has had only a single basic statistics course):

First Session
Mathematics for Social Scientists I
Introduction to Computing
Regression Analysis I: Introduction

Second Session
Regression Analysis II: Linear Models
Matrix Algebra

Participant C

(This individual has had an applied statistics course at approximately the level of Neter, Wasserman, and Whitmore's Applied Statistics):

First Session
Mathematics for Social Scientists II
Introduction to Computing
Regression Analysis II: Linear Models

Second Session
Complex Systems Models
Categorical Analysis or
Time Series or
Longitudinal Analysis or
Simultaneous Equation Models

Participant D

(This student has had several applied statistics courses, understands the principle of a linear model at approximately the level of Wonnacott and Wonnacott's Econometrics, and is knowledgeable in the basic principles of matrix algebra):

First Session
Statistical Computing Using R/S
Maximum Likelihood Estimation or
Introduction to Applied Bayesian Modeling or
Regression Analysis III: Advanced Methods or
Multivariate Statistical Analysis

Second Session
Complex Systems Models
Simultaneous Equation Models or
Time Series Analysis or
Structural Equation Models With Latent Variables or
Categorical Analysis or
Advanced Maximum Likelihood Estimation or
Scaling and Dimensional Analysis

Workshops form the core of the Summer Program's curriculum. Participants may elect one or two workshops, with two workshops constituting a full load. The purpose of the lectures is to broaden and enrich the participant's experience. Hence they are supplemental to the workshops.

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