Multiple abstract variance analysis
id:
multiple-abstract-variance-analysis-272-7581786
title:
Multiple abstract variance analysis
text:
Multiple abstract variance analysis (MAVA), is a statistical technique used to estimate the proportion of variance in a phenotypic trait due to genetic and environmental factors. It was developed by psychologist Raymond B. Cattell in order to enable the analysis of data from multiple independent sources to estimate the causes of trait variation. Cattell originally described the technique in a 1960 paper. MAVA aims to estimate the relative genetic and environmental contributions to trait variatio
brand slug:
wiki
category slug:
encyclopedia
description:
Statistical technique
original url:
https://en.wikipedia.org/wiki/Multiple_abstract_variance_analysis
date created:
date modified:
2021-03-30T21:51:07Z
main entity:
{"identifier":"Q60792031","url":"https://www.wikidata.org/entity/Q60792031"}
image:
fields total:
13
integrity:
14