Individual personal network size estimates using the known population method — kp.individual.estimator • networkreporting

In most situations, the known population method will be used to estimate the average personal network size; this can be done with kp.estimator_. If, instead, you wish to estimate the personal network size of each individual respondent, then you can use this function.

Usage

kp.individual.estimator(
  resp.data,
  known.populations,
  total.kp.size = 1,
  alter.popn.size,
  dropmiss = FALSE
)

kp.individual.estimator_(
  resp.data,
  known.populations,
  total.kp.size = 1,
  alter.popn.size,
  dropmiss = FALSE
)

Arguments

resp.data: the respondent (survey) data
known.populations: the names of the known populations
total.kp.size: the sum of the sizes of all of the known populations
alter.popn.size: the size of the population respondents are reporting about connections to; typically this will be the frame population, so alter.popn.size should be the size of the frame population, N.F
dropmiss: see the dropmiss argument of kp.estimator_

Value

a data frame with an estimate of each individual respondent's personal network size

Details

Note that this is not making inference about any larger population; it estimates a property of each individual respondent. So the sampling weights are not used here.

TODO

make unit tests