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Related Concept Videos

Sampling Plans01:23

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...
Systematic Sampling Method01:17

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...
Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
Stratified Sampling Method01:16

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...
Sampling Methods: Overview01:06

Sampling Methods: Overview

A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
In analytical chemistry, the choice of sampling...
Random Sampling Method01:09

Random 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. Among the various sampling methods used by...

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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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Sample registration in gujarat, india.

D C Mehta1

  • 1Statistical Organisation, Directorate of Health and Medical Services, overnment oF Gujarat, 16, Ahmedabad, India.

Demography
|February 1, 2011
PubMed
Summary
This summary is machine-generated.

This study evaluated two systems for recording births and deaths in rural India. Both methods showed under-registration, with estimated birth and death rates around 44 and 19, respectively.

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Area of Science:

  • Demography
  • Public Health
  • Epidemiology

Background:

  • Accurate vital statistics are crucial for public health planning.
  • Previous vital registration systems in rural India faced challenges with completeness and accuracy.

Purpose of the Study:

  • To compare the effectiveness of two independent systems for recording births and deaths in rural Gujarat, India.
  • To estimate birth and death rates using these dual recording systems.

Main Methods:

  • Implemented two parallel vital event recording systems: a local registrar and a rural health center survey.
  • Registrar conducted baseline surveys and fortnightly updates; health center staff performed quarterly checks and semi-annual independent surveys.
  • Matched records from both systems to identify and resolve discrepancies through household revisits.

Main Results:

  • Under-registration was estimated between 13-20% for the registrar method and 8-17% for the survey method.
  • The estimated crude birth rate was approximately 44 per 1,000 population.
  • The estimated crude death rate was approximately 19 per 1,000 population.

Conclusions:

  • Both independent recording systems demonstrated under-registration, highlighting ongoing challenges in vital event capture.
  • The dual system approach allowed for discrepancy resolution and provided estimates for birth and death rates in rural Gujarat.
  • Findings underscore the need for continued refinement of vital registration methods in developing regions.