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 Stratified Random Sampling?

Erin Ruel

A stratified random sample is a variation on the simple random sample that guarantees that the distribution of the sample will exactly reflect the population on whatever characteristic is used to stratify it. There are two types of stratified random samples: proportionate stratified sampling and disproportionate stratified sampling. A proportionate stratified sample selects a sample that has the same distribution as the population on the stratifying variable (i.e., race). If stratifying on race, the racial distribution of the sample will exactly match the racial distribution in the population.

A disproportionate stratified sample, on the other hand, purposefully does not match the population distribution on the stratifying variable. One reason to use a disproportionate sample is to ensure all groups, ...

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