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Related Concept Videos

Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
Kruskal-Wallis Test01:19

Kruskal-Wallis Test

The Kruskal-Wallis test, also known as the Kruskal-Wallis H test, serves as a nonparametric alternative to the one-way ANOVA, offering a solution for analyzing the differences across three or more independent groups based on a single, ordinal-dependent variable. This statistical test is particularly valuable in scenarios where the data does not meet the normal distribution assumption required by its parametric counterparts. Kruskal-Wallis test is designed typically to handle ordinal data or...
Naturalistic Observations02:30

Naturalistic Observations

If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
Wald-Wolfowitz Runs Test II01:17

Wald-Wolfowitz Runs Test II

The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and 0s. In...
One-Way ANOVA: Equal Sample Sizes01:15

One-Way ANOVA: Equal Sample Sizes

One-Way ANOVA can be performed on three or more samples with equal or unequal sample sizes. When one-way ANOVA is performed on two datasets with samples of equal sizes, it can be easily observed that the computed F statistic is highly sensitive to the sample mean.
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
Scientific Nature of Social Psychology01:30

Scientific Nature of Social Psychology

Social psychology is a scientific discipline dedicated to understanding how individuals think, feel, and behave in social contexts. Unlike common sense, which relies on anecdotal experiences and intuition, social psychology employs systematic research and empirical methods to ensure objectivity and reliability. This distinction is fundamental in distinguishing scientifically supported findings from mere speculation.Four fundamental scientific values guide a structured approach to research in...

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Updated: Jun 14, 2026

Body Composition and Metabolic Caging Analysis in High Fat Fed Mice
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Body Composition and Metabolic Caging Analysis in High Fat Fed Mice

Published on: May 24, 2018

How welfare is measured and why scientists do it differently.

Janice C Swanson1

  • 1Animal Welfare, Michigan State University, East Lansing, MI 48824, USA. swansoj@anr.msu.edu

Journal of Veterinary Medical Education
|April 10, 2010
PubMed
Summary

Animal welfare research varies based on scientist discipline and values. Different scientific backgrounds lead to diverse approaches in assessing and prioritizing animal well-being measures.

Area of Science:

  • Animal Welfare Science
  • Veterinary Medicine
  • Ethology

Background:

  • Animal welfare assessment is influenced by the researcher's disciplinary background and values.
  • Different scientific fields may prioritize distinct indicators of animal well-being.

Purpose of the Study:

  • To explore how disciplinary training and values shape animal welfare research approaches.
  • To highlight the variability in research questions, methods, and interpretations in animal welfare science.

Main Methods:

  • Review of scientific literature and common practices in animal welfare research.
  • Analysis of how different disciplines (e.g., veterinary medicine, ethology) frame animal welfare issues.

Main Results:

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Last Updated: Jun 14, 2026

Body Composition and Metabolic Caging Analysis in High Fat Fed Mice
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Published on: May 24, 2018

Nest Building as an Indicator of Health and Welfare in Laboratory Mice
06:12

Nest Building as an Indicator of Health and Welfare in Laboratory Mice

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Measurement of Lifespan in Drosophila melanogaster

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  • Veterinary scientists may prioritize biological functioning, while applied ethologists focus on behavior.
  • Disciplinary perspectives influence the selection of variables, experimental design, and data interpretation.

    • Conclusions:

    • Differences in scientific training and values lead to diverse approaches in animal welfare research.
    • This variability impacts animal care guidelines, standards, and legislation, affecting how different aspects of well-being are addressed.