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.

How Is a Disproportionate Stratified Probability Sample Collected?

Erin Ruel

Again we start by creating a sampling frame for each category of the stratifying variable. Using the same example as in Q27, we stratify on race and will collect five simple random samples from each stratum. We want a total sample size of n = 1,000. We start by specifying how many individuals we want to include in our sample from each racial stratum. In this case (see Table 28.1), we have specified that we want 100 Hispanics, Asians, and Native Americans in the sample and 350 each of Whites and African Americans. Next we determine the racial distribution of the sample by dividing n/1,000 (total sample size) for each stratum. We can see that ...

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