Over the past hundred years, advancements in survey research and understanding of survey methodology and analysis have removed major biases when small numbers of respondents can speak for larger groups in addition to the ability of modem polls to support inferences about populations. This project presents a brief history of survey methodology and utilizes common applied statistical procedures using the 2009 California Health Interview Survey (CHIS). Survey methodology and analysis will be explored through examples including survey linear regression analysis, canonical correlation and multinomial logistic regression.
This project's goal is to create greater understanding of the survey analysis process, as well as, some of the challenges survey researchers face. With this knowledge more procedures can be adapted to incorporate survey design to expand survey methodology and analysis to reach more diverse research needs.
|School:||California State University, Long Beach|
|School Location:||United States -- California|
|Source:||MAI 54/02M(E), Masters Abstracts International|
|Keywords:||California health interview survey, SAS, Survey analysis, Survey logistic, Weighted canonical correlation, Weighted linear regression|
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