PMC:7537225 / 17834-18375 JSONTXT

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T76","span":{"begin":16,"end":17},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T77","span":{"begin":197,"end":198},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T78","span":{"begin":372,"end":373},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"}],"text":"To this end, in a multi‐group factor analysis in R (R Core Team, 2014), using the following packages: lavaan (Rosseel, 2012), and semTools (Jorgensen et al., 2019), we compared the models assuming a two‐factor structure (positive and negative, with the latter consisting of reversed items; Roberti et al., 2006) across 26 countries and areas (configural invariance), with a model with factor loadings and latent correlations constrained to be equal (metric invariance), and items' intercepts to be the same in all groups (scalar invariance)."}

{"project":"LitCovid-sentences","denotations":[{"id":"T129","span":{"begin":0,"end":541},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"To this end, in a multi‐group factor analysis in R (R Core Team, 2014), using the following packages: lavaan (Rosseel, 2012), and semTools (Jorgensen et al., 2019), we compared the models assuming a two‐factor structure (positive and negative, with the latter consisting of reversed items; Roberti et al., 2006) across 26 countries and areas (configural invariance), with a model with factor loadings and latent correlations constrained to be equal (metric invariance), and items' intercepts to be the same in all groups (scalar invariance)."}