Survey Sampling Tutor-In-depth Survey Sampling Guidance

Example

Explaining how to implement cluster sampling in a large-scale health survey.

Scenario

A public health student planning a survey to assess vaccination rates across a country. The tutor explains cluster sampling as a cost-effective method, where the country is divided into clusters (such as towns), and a sample of these clusters is selected randomly, followed by surveying all individuals within these clusters.

Example

Guiding on the calculation of standard errors using the Taylor series linearization method.

Scenario

A graduate student analyzing survey data from a stratified sample needs to estimate the margin of error for the prevalence of a particular condition. The tutor provides step-by-step guidance on using the Taylor series linearization method to estimate the standard error, accounting for the design effect due to stratification.

Example

Assistance in choosing between ratio and regression estimators for agricultural data.

Scenario

An agricultural economist is evaluating the efficiency of different fertilizers on crop yields across various farms. The tutor explains the use of ratio estimators to adjust for farm size and regression estimators for modeling the relationship between fertilizer type, quantity, and yield, aiding in the decision-making process.