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Trait Theory by Gordon Allport01:20

Trait Theory by Gordon Allport

Gordon Allport, often regarded as the father of American personality psychology, developed a theory that emphasized the importance of understanding people in their present lives rather than focusing on their past, as psychoanalysis did. Allport believed that personality should be studied in healthy, well-adjusted individuals rather than those with psychological problems. He was particularly interested in defining traits, which he saw as fundamental mental structures that guide behavior across...
Introduction to Test of Independence01:21

Introduction to Test of Independence

In statistics, the term independence means that one can directly obtain the probability of any event involving both variables by multiplying their individual probabilities. Tests of independence are chi-square tests involving the use of a contingency table of observed (data) values.
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
Multiple Allele Traits01:49

Multiple Allele Traits

The Concept of Multiple Allelism
Multiple Allele Traits01:49

Multiple Allele Traits

The Concept of Multiple Allelism
Test for Homogeneity01:23

Test for Homogeneity

The goodness–of–fit test can be used to decide whether a population fits a given distribution, but it will not suffice to decide whether two populations follow the same unknown distribution. A different test, called the test for homogeneity, can be used to conclude whether two populations have the same distribution. To calculate the test statistic for a test for homogeneity, follow the same procedure as with the test of independence. The hypotheses for the test for homogeneity can be stated as...
Hypothesis Test for Test of Independence01:16

Hypothesis Test for Test of Independence

The test of independence is a chi-square-based test used to determine whether two variables or factors are independent or dependent. This hypothesis test is used to examine the independence of the variables. One can construct two qualitative survey questions or experiments based on the variables in a contingency table. The goal is to see if the two variables are unrelated (independent) or related (dependent). The null and alternative hypotheses for this test are:
H0: The two variables (factors)...

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Related Experiment Video

Updated: Jul 5, 2026

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
11:09

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

Relating traits to diversification: a simple test.

Robert P Freckleton1, Albert B Phillimore, Mark Pagel

  • 1Department of Animal and Plant Sciences, University of Sheffield, Sheffield S10 2TN, United Kingdom. r.freckleton@sheffield.ac.uk

The American Naturalist
|May 29, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces a method to link species diversification rates with continuous traits using phylogenetics. The approach effectively identifies speciation-trait correlations but is less powerful when trait evolution is slow or extinction correlates with traits.

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Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
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Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

Related Experiment Videos

Last Updated: Jul 5, 2026

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
11:09

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

Area of Science:

  • Evolutionary Biology
  • Phylogenetics
  • Quantitative Biology

Background:

  • Understanding diversification drivers is key in evolutionary biology.
  • Continuous traits may influence speciation and extinction rates.
  • Phylogenetic comparative methods are essential for evolutionary analyses.

Purpose of the Study:

  • To develop and evaluate a simple comparative method for correlating diversification rates with continuous traits in species-level phylogenies.
  • To assess the power and limitations of this method using simulations.

Main Methods:

  • A comparative method correlating net speciation rate with continuous traits was developed.
  • Phylogenetically corrected correlations were employed.
  • Simulations were used to test the method's power and robustness.

Main Results:

  • The method demonstrates acceptable power in uncovering relationships between speciation and continuous traits.
  • The approach is robust to random background extinction.
  • Method power decreases with slower trait evolution rates and when extinction is trait-correlated.

Conclusions:

  • This phylogenetically corrected method is a potentially powerful tool for analyzing speciation correlates.
  • Inherent limitations exist for inferring extinction correlates using only extant species data.