weight_responses: Weight responses

In lsasim: Functions to Facilitate the Simulation of Large Scale Assessment Data

Weight responses

Description

calculates sampling weights for the questionnaire responses

Usage

weight_responses(
  cluster_bg,
  n_obs,
  N,
  lvl,
  sublvl,
  previous_sublvl,
  sampling_method,
  cluster_labels,
  resp_labels,
  sum_pop,
  verbose
)

Arguments

cluster_bg	dataset with background questionnaire
n_obs	list with the number of elements per level
N	list of numeric vector with the population size of each *sampled* cluster element on each level
lvl	number of the current level
sublvl	number of the current sublevel (element within level)
previous_sublvl	number of the sublevel of the parent level
sampling_method	can be "SRS" for Simple Random Sampling or "PPS" for Probabilities Proportional to Size
cluster_labels	character vector with the names of each cluster level
resp_labels	character vector with the names of the questionnaire respondents on each level
sum_pop	total population at each level (sampled or not)
verbose	if 'TRUE', prints output messages

Value

Input data frame ('cluster_bg') with three new columns for the sampling weights.

lsasim documentation built on Aug. 22, 2023, 5:09 p.m.