jaspSem::SEM(
data = NULL,
version = "0.95",
additionalFitMeasures = TRUE,
alpha = 0.05,
ave = TRUE,
bootSeed = 1,
bootstrapCiType = "percentileBiasCorrected",
bootstrapSamples = 1000,
bootstrapSamplesBollenStine = 1000,
ciLevel = 0.95,
convergenceRateThreshold = 0.1,
dataType = "raw",
dependentCorrelation = FALSE,
efaConstrained = TRUE,
emulation = "lavaan",
equalIntercept = FALSE,
equalLatentCovariance = FALSE,
equalLatentVariance = FALSE,
equalLoading = FALSE,
equalMean = FALSE,
equalRegression = FALSE,
equalResidual = FALSE,
equalResidualCovariance = FALSE,
equalThreshold = FALSE,
errorCalculationMethod = "bootstrap",
estimator = "wlsmv",
exogenousCovariateConditional = FALSE,
exogenousCovariateFixed = TRUE,
exogenousLatentCorrelation = FALSE,
factorScaling = "factorLoading",
freeParameters = NULL,
group = list("", "LP", "LP ORG", "Wydział", "Kierunek", "Rok studiów", "Forma studiów", "Przedmiot", "Rodzaj symulacji", "Płeć", "SSSCL 01", "SSSCL 02", "SSSCL 03", "SSSCL 04", "SSSCL 05", "SSSCL 06", "SSSCL 07", "SSSCL 08", "SSSCL 09", "SSSCL 10", "SSSCL 11", "SSSCL 12", "SSSCL 13", "Satysfakcja", "Pewność siebie", "Wynik ogólny", "Satysfakcja (DIF)", "Pewność siebie (DIF)", "Wynik ogólny (DIF)"),
htmt = TRUE,
impliedCovariance = FALSE,
informationMatrix = "default",
latentInterceptFixedToZero = TRUE,
manifestInterceptFixedToZero = FALSE,
manifestMeanFixedToZero = FALSE,
mardiasCoefficient = FALSE,
maxIterations = 1000,
meanStructure = FALSE,
modelTest = "standard",
models = list(list(name = "Bifactor", syntax = list(columns = list("JaspColumn_12_Encoded", "JaspColumn_30_Encoded", "JaspColumn_33_Encoded", "JaspColumn_36_Encoded", "JaspColumn_39_Encoded", "JaspColumn_42_Encoded", "JaspColumn_45_Encoded", "JaspColumn_48_Encoded", "JaspColumn_51_Encoded", "JaspColumn_54_Encoded", "JaspColumn_57_Encoded", "JaspColumn_60_Encoded", "JaspColumn_63_Encoded", "JaspColumn_66_Encoded", "JaspColumn_69_Encoded", "JaspColumn_78_Encoded"), model = "
JaspColumn_69_Encoded =~ lambda_1_1*JaspColumn_30_Encoded + lambda_1_2*JaspColumn_33_Encoded + lambda_1_3*JaspColumn_36_Encoded + lambda_1_4*JaspColumn_39_Encoded + lambda_1_5*JaspColumn_42_Encoded
JaspColumn_12_Encoded =~ lambda_2_1*JaspColumn_45_Encoded + lambda_2_2*JaspColumn_48_Encoded + lambda_2_3*JaspColumn_51_Encoded + lambda_2_4*JaspColumn_54_Encoded + lambda_2_5*JaspColumn_57_Encoded + lambda_2_6*JaspColumn_60_Encoded + lambda_2_7*JaspColumn_63_Encoded + lambda_2_8*JaspColumn_66_Encoded
JaspColumn_78_Encoded =~ JaspColumn_69_Encoded+JaspColumn_12_Encoded", modelOriginal = "# Czynniki
Satysfakcja =~ lambda_1_1*SSSCL 01 + lambda_1_2*SSSCL 02 + lambda_1_3*SSSCL 03 + lambda_1_4*SSSCL 04 + lambda_1_5*SSSCL 05
Pewność siebie =~ lambda_2_1*SSSCL 06 + lambda_2_2*SSSCL 07 + lambda_2_3*SSSCL 08 + lambda_2_4*SSSCL 09 + lambda_2_5*SSSCL 10 + lambda_2_6*SSSCL 11 + lambda_2_7*SSSCL 12 + lambda_2_8*SSSCL 13
Wynik ogólny =~ Satysfakcja+Pewność siebie", optionKey = "value", prefixedColumns = list(data. = list()), types = list("scale", "scale", "scale", "scale", "scale", "scale", "scale", "scale", "scale", "scale", "scale", "scale", "scale", "scale", "scale", "scale"), value = list("Pewność siebie", "SSSCL 01", "SSSCL 02", "SSSCL 03", "SSSCL 04", "SSSCL 05", "SSSCL 06", "SSSCL 07", "SSSCL 08", "SSSCL 09", "SSSCL 10", "SSSCL 11", "SSSCL 12", "SSSCL 13", "Satysfakcja", "Wynik ogólny")))),
modificationIndex = FALSE,
modificationIndexHiddenLow = FALSE,
modificationIndexThreshold = 10,
naAction = "listwise",
numberOfAnts = 10,
observedCovariance = FALSE,
optimizerFunction = "percentChangeMeanEstimate",
orthogonal = TRUE,
pathPlot = TRUE,
pathPlotLegend = FALSE,
pathPlotParameter = TRUE,
pathPlotParameterStandardized = TRUE,
plotHeight = 320,
plotWidth = 480,
rSquared = FALSE,
reliability = TRUE,
residualCovariance = FALSE,
residualSingleIndicatorOmitted = TRUE,
residualVariance = TRUE,
sampleSize = 500,
samplingWeights = list("", "LP", "LP ORG", "Wydział", "Kierunek", "Rok studiów", "Forma studiów", "Przedmiot", "Rodzaj symulacji", "Płeć", "SSSCL 01", "SSSCL 02", "SSSCL 03", "SSSCL 04", "SSSCL 05", "SSSCL 06", "SSSCL 07", "SSSCL 08", "SSSCL 09", "SSSCL 10", "SSSCL 11", "SSSCL 12", "SSSCL 13", "Satysfakcja", "Pewność siebie", "Wynik ogólny", "Satysfakcja (DIF)", "Pewność siebie (DIF)", "Wynik ogólny (DIF)"),
scalingParameter = TRUE,
searchAlgorithm = "antColonyOptimization",
seed = 1,
sensitivityAnalysis = FALSE,
setSeed = FALSE,
sizeOfSolutionArchive = 100,
standardizedEstimate = TRUE,
standardizedEstimateType = "all",
standardizedResidual = FALSE,
standardizedVariable = TRUE,
threshold = TRUE,
userGaveSeed = FALSE,
warnings = TRUE)