KEY FEATURES: Introduces students to developing research questions and shows their importance in driving research design. Rarely taught topics, such as how to enter and clean data, offer students information missed in both research methods and statistics courses. Shows how to write up survey results for academic, business and nonprofit reports to alleviate the confusion students feel about how to write up findings. Rigorous treatment of sampling focuses on many sampling issues from probability theory to weighting. Offers the process of actually conducting a survey with advice on administering surveys, incentives, and improving response rates.

What Is Linear Regression, and What Are Its Benefits?

Erin Ruel

Linear regression is a common statistical technique for assessing association. Regression allows us to (1) assess if there is a linear relationship between the variables, (2) assess the size of the relationship, (3) see if the relationship remains after including additional variables in the regression model, and (4) statistically test if the relationship can be generalized to the population from which it was drawn.

The first step is to determine which variable is the dependent variable. In the research question that started the survey project, the thing we most wanted to explain was our dependent variable. That is the variable we will be regressing on one or more independent variables. The independent variables are those ...

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