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Related Concept Videos

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 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...
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...
Data Collection by Survey01:07

Data Collection by Survey

The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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...

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Sample registration in India.

H B Wells1, B L Agrawal

  • 1University of North Carolina, USA.

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

India

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Area of Science:

  • Demography
  • Public Health
  • Vital Statistics

Background:

  • India's vital statistics system requires improvement for accurate population health monitoring.
  • Ad hoc sample registration schemes are being implemented to address data gaps.

Purpose of the Study:

  • To describe the implementation and preliminary findings of India's sample registration scheme.
  • To identify operational and statistical challenges in establishing a vital statistics system.

Main Methods:

  • Continuous registration of vital events by local enumerators.
  • Six-month household surveys to capture underreported births and deaths.
  • Matching registration data with survey data and field rechecks for accuracy.

Main Results:

  • Preliminary crude birth rate: 37.1/1,000; crude death rate: 15.7/1,000 in rural India.
  • Implementation challenges include state cooperation, staff recruitment, and field operation control.
  • Staged implementation is recommended due to limited trained staff.

Conclusions:

  • The sample registration scheme is a crucial step towards an adequate vital statistics system in India.
  • Operational and administrative issues are significant hurdles to successful implementation.
  • Methodological challenges require ongoing testing and refinement as the scheme evolves.