Results

Partial Least Squares SEM

jaspSem::PLSSEM(
        version = "0.19.3",
        benchmark = "all",
        endogenousIndicatorPrediction = TRUE,
        innerWeightingScheme = "centroid",
        models = list(list(name = "Model 1", syntax = list(columns = list("JaspColumn_0_Encoded", "JaspColumn_1_Encoded", "JaspColumn_2_Encoded", "JaspColumn_5_Encoded", "JaspColumn_6_Encoded", "JaspColumn_7_Encoded"), model = "agree =~ JaspColumn_0_Encoded + JaspColumn_1_Encoded + JaspColumn_2_Encoded
consc =~ JaspColumn_5_Encoded + JaspColumn_6_Encoded + JaspColumn_7_Encoded

agree ~ consc", modelOriginal = "agree =~ A1 + A2 + A3
consc =~ C1 + C2 + C3

agree ~ consc", prefixedColumns = list(data. = list())))))