An important skill for accomplishing this task is facility with the software package you will be using to clean and analyze your cases. It aims to improve knowledge of computing resources and enhance data management skills. This course will discuss a number of special issues in the practical use of survey data,including survey selection, survey documentation, online data extraction and analysis, constructing key variables from multiple components, dealing with multiple levels of data and longitudinal data, response bias and data quality, incomplete data, large-scale data management, and confidentiality and disclosure concerns. Throughout the course, several key datasets in research of aging, family, education, labor force, and other areas will be introduced and issues involved in the use of these datasets will be discussed. It covers topics through statistical estimation and testing.
Emphasis is placed on developing an appreciation for enlightened applied statistical analysis.
Multiple linear regression is one of the most powerful and widely used techniques in data analysis. This course teaches the student how to use regression to analyze complex real world data. Examples are used throughout to illustrate application of the tools. Regression-based methods for the analysis of time series data and binary response data are also covered. This course is useful for anyone whose future job will involve quantitative analysis or will involve managing or reviewing other people s quantitative work.