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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...
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.

B L Agrawal

    Population Studies
    |November 15, 2011
    PubMed
    Summary
    This summary is machine-generated.

    India's Sample Registration Project rapidly estimates birth and death rates using continuous enumeration and surveys. Preliminary findings show rural crude birth rates around 40 and death rates near 18 per 1,000 population.

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    Area of Science:

    • Demography
    • Public Health
    • Statistical Methods

    Background:

    • The Sample Registration Project in India was initiated to provide current birth and death rate estimates nationwide.
    • The project aimed for rapid implementation, covering rural and urban areas across all Indian states and Union Territories by 1969.

    Purpose of the Study:

    • To estimate current birth and death rates for India's entire population.
    • To assess the feasibility and reliability of sample registration techniques in a developing country context.

    Main Methods:

    • Utilized continuous enumeration by local enumerators for births and deaths.
    • Employed a six-month household survey to capture events missed by enumeration.
    • Implemented manual matching of enumeration and survey data, with field re-checks for accuracy.

    Main Results:

    • Pilot studies in ten states and full-scale samples in four states indicated rural crude birth rates of approximately 40 per 1,000.
    • Rural crude death rates were estimated at around 18 per 1,000 population.

    Conclusions:

    • Sample registration techniques demonstrate potential for reliable vital rate estimation in developing countries.
    • Operational and administrative challenges, particularly in maintaining field control during surveys, are significant implementation hurdles.
    • Further methodological testing is required as the sample registration system evolves.