Regression Analysis
Regression analysis is the blanket name for a family of data analysis techniques that examine relationships between variables. The techniques allow survey researchers to answer questions about associations between different variables of interest. For example, how much do political party identification and Internet usage affect the likelihood of voting for a particular candidate? Or how much do education-related variables (e.g. grade point average, intrinsic motivation, classes taken, and school quality) and demographic variables (e.g. age, gender, race, and family income) affect standardized test performance? Regression allows surveyors to simultaneously look at the influence of several independent variables on a dependent variable. In other words, instead of having to calculate separate tables or tests to determine the effect of demographic and educational variables on test scores, ...
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Reader's Guide
Ethical Issues In Survey Research
Measurement - Interviewer
Measurement - Mode
Measurement - Questionnaire
Measurement - Respondent
Measurement - Miscellaneous
Nonresponse - Item-Level
Nonresponse - Outcome Codes And Rates
Nonresponse - Unit-Level
Operations - General
Operations - In-Person Surveys
Operations - Interviewer-Administered Surveys
Operations - Mall Surveys
Operations - Telephone Surveys
Political And Election Polling
Public Opinion
Sampling, Coverage, And Weighting
Survey Industry
Survey Statistics
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