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Related Concept Videos

Migration00:53

Migration

Migration is long-range, seasonal movement from one region or habitat to another. This common strategy, carried out by many different organisms around the world, is an adaptive response that typically corresponds to changes in an organism’s environment, like resource availability or climate. Migrations can involve huge groups of thousands of animals as well as single individuals traveling alone and can range from thousands of kilometers to just a few hundred meters.
Nominal Level of Measurement00:56

Nominal Level of Measurement

The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. Not every statistical operation can be used with every set of data. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
The data that cannot be measured but can be grouped into categories fall under the nominal level of measurement. Data that is measured using a nominal scale is...
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least squares (OLS)...
Manipulation and Analysis01:21

Manipulation and Analysis

GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
Archival Research01:40

Archival Research

Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
Ordinal Level of Measurement00:55

Ordinal Level of Measurement

The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks in the...

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Related Experiment Video

Updated: Jun 4, 2026

A Simple Migration/Invasion Workflow Using an Automated Live-cell Imager
09:17

A Simple Migration/Invasion Workflow Using an Automated Live-cell Imager

Published on: February 2, 2019

Concept, measurement, and data in migration analysis.

W Haenszel1

  • 1National Cancer Institute, Bethesda, Maryland.

Demography
|February 1, 2011
PubMed
Summary

This study evaluates two migration rate calculation methods. The second method, which uses a cross-product denominator, implicitly assumes random population movements, posing analytical challenges.

Area of Science:

  • Demography
  • Sociology
  • Epidemiology

Background:

  • Migration rate calculation is crucial for understanding population dynamics.
  • Existing methods for computing migration rates have limitations.
  • The assumption of random population movement in some models warrants scrutiny.

Purpose of the Study:

  • To critically analyze two distinct methods for computing migration rates.
  • To identify implicit assumptions and potential difficulties within these migration models.
  • To suggest alternative analytical approaches for migration data.

Main Methods:

  • Discussion and critique of two migration rate computation methods.
  • Method 1: Relating moves to the population at risk in the place of origin.

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A Cost Effective and Adaptable Scratch Migration Assay
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Analysis of Cell Migration within a Three-dimensional Collagen Matrix

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Related Experiment Videos

Last Updated: Jun 4, 2026

A Simple Migration/Invasion Workflow Using an Automated Live-cell Imager
09:17

A Simple Migration/Invasion Workflow Using an Automated Live-cell Imager

Published on: February 2, 2019

A Cost Effective and Adaptable Scratch Migration Assay
08:59

A Cost Effective and Adaptable Scratch Migration Assay

Published on: June 30, 2020

Analysis of Cell Migration within a Three-dimensional Collagen Matrix
08:02

Analysis of Cell Migration within a Three-dimensional Collagen Matrix

Published on: October 5, 2014

  • Method 2: Using the cross-product of populations in origin and destination places as the denominator.

    • Main Results:

    • The second method implicitly assumes that migration events (originating and terminating) are random variables.
    • This assumption introduces analytical difficulties and potential inaccuracies in migration rate estimation.
    • The study highlights the limitations of models relying on the random population variable assumption.

    Conclusions:

    • The second migration rate computation method presents significant analytical challenges due to its underlying assumption.
    • Researchers should explore alternative analytical frameworks for migration data.
    • The mathematical theory of epidemics is suggested as a potentially fruitful area for developing new migration analysis approaches.