"latent variable" meaning in All languages combined

{
  "etymology_text": "The variables are latent (“hidden”) because they are not directly observed, but instead inferred from other variables.",
  "forms": [
    {
      "form": "latent variables",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {},
      "expansion": "latent variable (plural latent variables)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
      "categories": [
        {
          "kind": "other",
          "name": "English entries with incorrect language header",
          "parents": [
            "Entries with incorrect language header",
            "Entry maintenance"
          ],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "Pages with 1 entry",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "Pages with entries",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "topical",
          "langcode": "en",
          "name": "Statistics",
          "orig": "en:Statistics",
          "parents": [
            "Formal sciences",
            "Mathematics",
            "Sciences",
            "All topics",
            "Fundamental"
          ],
          "source": "w"
        }
      ],
      "examples": [
        {
          "ref": "1995, J. Tague-Sutcliffe, L. Vaughan, C. Sylvain, “Using LISREL to Measure the Impact of Information on Development: London Site Pilot Study”, in Paul McConnell, editor, Making a Difference: Measuring the Impact of Information on Development, Proceedings of a Workshop, page 141:",
          "text": "Each of these is a latent variable, which is measured by one or more observable variables.",
          "type": "quote"
        },
        {
          "text": "2002, Cavid J. Bartholomew, 1: Old and New Approaches to Latent Variable Modelling, George A. Marcoulides, Irini Moustaki (editors), Latent Variable and Latent Structure Models, 2012, page 1,\nThe earliest use of latent variable ideas in time series appears to have been due to Wiggins (1973) but, as so often happens, it was not followed up. […] The basis for this remark can be explained by reference to a simple example which, at first sight, appears to have little to do with latent variables."
        },
        {
          "ref": "2008, Donna Harrington, Confirmatory Factor Analysis, page 26:",
          "text": "As stated earlier, in addition to having df greater than 0, the second condition for model identification is that the latent variables have to be scaled.",
          "type": "quote"
        }
      ],
      "glosses": [
        "A variable that is not directly measured but is inferred by means of a mathematical model from one or more directly observed variables."
      ],
      "id": "en-latent_variable-en-noun-ueudv4ha",
      "links": [
        [
          "statistics",
          "statistics"
        ],
        [
          "variable",
          "variable"
        ],
        [
          "infer",
          "infer"
        ],
        [
          "mathematical model",
          "mathematical model"
        ]
      ],
      "raw_glosses": [
        "(statistics) A variable that is not directly measured but is inferred by means of a mathematical model from one or more directly observed variables."
      ],
      "related": [
        {
          "word": "latent space"
        }
      ],
      "synonyms": [
        {
          "sense": "variable not directly measured",
          "word": "hidden variable"
        },
        {
          "sense": "variable not directly measured",
          "word": "hypothetical construct"
        },
        {
          "sense": "variable not directly measured",
          "word": "hypothetical variable"
        }
      ],
      "topics": [
        "mathematics",
        "sciences",
        "statistics"
      ],
      "wikipedia": [
        "latent variable"
      ]
    }
  ],
  "word": "latent variable"
}

{
  "etymology_text": "The variables are latent (“hidden”) because they are not directly observed, but instead inferred from other variables.",
  "forms": [
    {
      "form": "latent variables",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {},
      "expansion": "latent variable (plural latent variables)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "related": [
    {
      "word": "latent space"
    }
  ],
  "senses": [
    {
      "categories": [
        "English countable nouns",
        "English entries with incorrect language header",
        "English lemmas",
        "English multiword terms",
        "English nouns",
        "English terms with quotations",
        "Pages with 1 entry",
        "Pages with entries",
        "en:Statistics"
      ],
      "examples": [
        {
          "ref": "1995, J. Tague-Sutcliffe, L. Vaughan, C. Sylvain, “Using LISREL to Measure the Impact of Information on Development: London Site Pilot Study”, in Paul McConnell, editor, Making a Difference: Measuring the Impact of Information on Development, Proceedings of a Workshop, page 141:",
          "text": "Each of these is a latent variable, which is measured by one or more observable variables.",
          "type": "quote"
        },
        {
          "text": "2002, Cavid J. Bartholomew, 1: Old and New Approaches to Latent Variable Modelling, George A. Marcoulides, Irini Moustaki (editors), Latent Variable and Latent Structure Models, 2012, page 1,\nThe earliest use of latent variable ideas in time series appears to have been due to Wiggins (1973) but, as so often happens, it was not followed up. […] The basis for this remark can be explained by reference to a simple example which, at first sight, appears to have little to do with latent variables."
        },
        {
          "ref": "2008, Donna Harrington, Confirmatory Factor Analysis, page 26:",
          "text": "As stated earlier, in addition to having df greater than 0, the second condition for model identification is that the latent variables have to be scaled.",
          "type": "quote"
        }
      ],
      "glosses": [
        "A variable that is not directly measured but is inferred by means of a mathematical model from one or more directly observed variables."
      ],
      "links": [
        [
          "statistics",
          "statistics"
        ],
        [
          "variable",
          "variable"
        ],
        [
          "infer",
          "infer"
        ],
        [
          "mathematical model",
          "mathematical model"
        ]
      ],
      "raw_glosses": [
        "(statistics) A variable that is not directly measured but is inferred by means of a mathematical model from one or more directly observed variables."
      ],
      "topics": [
        "mathematics",
        "sciences",
        "statistics"
      ],
      "wikipedia": [
        "latent variable"
      ]
    }
  ],
  "synonyms": [
    {
      "sense": "variable not directly measured",
      "word": "hidden variable"
    },
    {
      "sense": "variable not directly measured",
      "word": "hypothetical construct"
    },
    {
      "sense": "variable not directly measured",
      "word": "hypothetical variable"
    }
  ],
  "word": "latent variable"
}