{"id":163635,"date":"2026-06-10T16:59:01","date_gmt":"2026-06-10T16:59:01","guid":{"rendered":"https:\/\/digitionary.com\/dictionnaire\/my\/"},"modified":"2026-06-10T18:21:35","modified_gmt":"2026-06-10T18:21:35","slug":"my","status":"publish","type":"dictionnaire-dico","link":"https:\/\/digitionary.com\/en\/dictionnaire\/my\/","title":{"rendered":"MY"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Structural equation modeling (SEM) is a methodology used to represent assumptions about the means, variances, and covariances of observed data using a limited number of &#8220;structural&#8221; parameters defined by an underlying theoretical model. According to Kaplan (2000), it allows for a more concise synthesis of this information. Two main categories of models are predominant within these methodologies: covariance structure analysis (CSA), exemplified by the LISREL2 model, and partial least squares (PLS3).<\/p>\n","protected":false},"template":"","categories-glossary":[313],"class_list":["post-163635","dictionnaire-dico","type-dictionnaire-dico","status-publish","hentry","categories-glossary-data-analytics-marketing-intelligence"],"_links":{"self":[{"href":"https:\/\/digitionary.com\/en\/wp-json\/wp\/v2\/dictionnaire-dico\/163635","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/digitionary.com\/en\/wp-json\/wp\/v2\/dictionnaire-dico"}],"about":[{"href":"https:\/\/digitionary.com\/en\/wp-json\/wp\/v2\/types\/dictionnaire-dico"}],"wp:attachment":[{"href":"https:\/\/digitionary.com\/en\/wp-json\/wp\/v2\/media?parent=163635"}],"wp:term":[{"taxonomy":"categories-glossary","embeddable":true,"href":"https:\/\/digitionary.com\/en\/wp-json\/wp\/v2\/categories-glossary?post=163635"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}