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 Proportionate Stratified Probability Sample Collected?

Erin Ruel

We start by creating sampling frames like we would for a simple random sample. In this case, we create a separate sampling frame for each category of the stratifying variable. If race is the stratifying variable and there are five racial categories, we will have five separate sampling frames. Then we will collect a simple random sample from each sampling frame. If the ultimate sample size we want is n = 1,000, then we determine how much of that total sample size should come from each racial group. Table 27.1 provides the necessary information to calculate that and the probability of selection for each stratum.

Since Whites make up 38% of the population, we want to ...

  • Loading...
locked icon

Sign in to access this content

Get a 30 day FREE TRIAL

  • Watch videos from a variety of sources bringing classroom topics to life
  • Read modern, diverse business cases
  • Explore hundreds of books and reference titles