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Sampling Plans

Sampling Plans

Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...

Stratified Sampling Method

Stratified Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...

Convenience Sampling Method

Convenience Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...

Systematic Sampling Method

Systematic Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...

Cluster Sampling Method

Cluster Sampling Method

Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...

Surveys

Surveys

Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.

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Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

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Household sampling in slums in surveys.

Maria Cecilia Goi Porto Alves¹, Maria de Lima Salum E Morais, Maria Mercedes Loureiro Escuder

¹Instituto de Saúde, Secretaria de Estado da Saúde de São Paulo, Brasil. cecilia@isaude.sp.gov.br

Revista De Saude Publica

|November 30, 2011

Summary

Using household segments simplifies multistage cluster sampling in slums. This method offers advantages in speed, safety, and accuracy compared to complete address lists, making it a practical choice for slum surveys.

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Area of Science:

Public Health
Survey Methodology
Urban Sociology

Background:

Multistage cluster sampling is crucial for health surveys in diverse populations.
Slums present unique challenges for household selection due to disorganization and density.
Traditional complete address listing can be resource-intensive and less effective in these settings.

Purpose of the Study:

To compare the advantages and disadvantages of using household segments versus complete address lists for sampling in slum areas.
To evaluate the practical implications of different household selection techniques in complex urban environments.

Main Methods:

A qualitative study was conducted in four selected slums.
Two household selection techniques (segments vs. complete address list) were applied.
Focal groups with field researchers (address listers and interviewers) were analyzed.

Main Results:

Household segments offer significant advantages, including faster frame development and household identification.
Increased interviewer and community safety, better access to interviewees, and improved frame stability were noted.
Fewer errors in identifying selected households were observed when using segments.

Conclusions:

Creating a household registry using segments is more advantageous than a complete address list for slum surveys.
This segmentation technique offers economy and ease, simplifying sampling in high-density, disorganized housing areas.