Structural Equation Modeling

Term · Environment · MLC-T-ENV-027022

1. A family of multivariate statistical methods that use covariance analysis to estimate parameters associated with a series of structural equations that express the hypothetical relationships among several variables that can be either directly observed or manifest variables or unobserved hypothetical or latent variables. It is similar to multiple regression, but uses assumptions concerning the causal network to structure the relationships into one or more equations. It is, in effect, a means of quantifying the links in a conceptual model.

2. Family of multivariate statistical methods that use covariance analysis to estimate parameters associated with a series of structural equations that express the hypothetical relationships among several variables that can be either directly observed or manifest variables or unobserved hypothetical or latent variables. It is similar to multiple regression, but uses assumptions concerning the causal network to structure the relationships into one or more equations. It is, in effect, a means of quantifying the links in a conceptual model.

Table 1. Record
Identifier	MLC-T-ENV-027022
Field	Environment
Subject	Information management and systems
References	CADDIS Glossary; CADDIS

Record as JSON

{
  "id": "MLC-T-ENV-027022",
  "term": "Structural Equation Modeling",
  "field": "Environment",
  "definition": "1. A family of multivariate statistical methods that use covariance analysis to estimate parameters associated with a series of structural equations that express the hypothetical relationships among several variables that can be either directly observed or manifest variables or unobserved hypothetical or latent variables. It is similar to multiple regression, but uses assumptions concerning the causal network to structure the relationships into one or more equations. It is, in effect, a means of quantifying the links in a conceptual model.\n\n2. Family of multivariate statistical methods that use covariance analysis to estimate parameters associated with a series of structural equations that express the hypothetical relationships among several variables that can be either directly observed or manifest variables or unobserved hypothetical or latent variables. It is similar to multiple regression, but uses assumptions concerning the causal network to structure the relationships into one or more equations. It is, in effect, a means of quantifying the links in a conceptual model.",
  "subject": "Information management and systems",
  "references": [
    "CADDIS Glossary",
    "CADDIS"
  ],
  "url": "https://mlchart.com/terminology/environment/structural-equation-modeling/"
}

Record 27,022 of 30,736 in Environment terminology (MLC-0121). Request the full dataset.