aas_ajustar_perdas: Adjust a sample size by a flat percentage buffer...

In sampleone: Survey Sampling Methods for Teaching and Practice

Adjust a sample size by a flat percentage buffer ("acrescimo")

Description

Inflates a sample size by a flat percentage buffer, following Example 3.14 of the course notes: n_ajustado = n * (1 + taxa_acrescimo) (there illustrated as a 25% buffer added to protect against losses, refusals, or other contingencies during fieldwork). This is a distinct, simpler convention from the formal non-response adjustment of Section 4.7.2 (dividing by an expected response rate, see the course notes' Eq. 4.25 and the package's stratified-sampling module) – do not confuse the two: dividing by (1 - taxa) targets a given number of completed responses after losses, while multiplying by (1 + taxa) is a simpler flat safety margin, as used here.

Usage

aas_ajustar_perdas(n, taxa_acrescimo, arredondar = c("cima", "proximo"))

Arguments

n	Base (unadjusted) sample size.
taxa_acrescimo	Flat buffer to add, as a proportion (e.g. 0.25 for a 25% increase).
arredondar	Either "cima" (default, always round up) or "proximo" (round to the nearest integer, reproducing Example 3.14 of the course notes exactly: 357 * 1.25 = 446.25, rounded there to 446, not 447).

Value

A sampling_result object with the adjusted sample size.

Examples

aas_ajustar_perdas(357, 0.25) # arredondar="cima" (padrao) -> 447
aas_ajustar_perdas(357, 0.25, arredondar = "proximo") # Exemplo 3.14 -> 446

sampleone documentation built on Oct. 13, 2026, 5:07 p.m.