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SEMGate vs SmartPLS

Same data, same settings, Fixed seed bootstrap.

Published November 1, 2026

The main aim of this article is to compare SmartPLS 4.1.2.1 and SEMGate on PLS-SEM Estimation and Bootstrap digits under matched data, model, and algorithm settings.

Both tools were run on Satisfaction_Data.sav (n = 300) with the same path model, Path weighting, Fixed seed, B = 5000, BCa confidence intervals, α = 0.05, and two-tailed tests. The sections below present the path diagram, the matched settings, the aligned cell comparison, the Match scoring rules, and a short guide to reproduce the check.

01

Watch the run

Before we dig into screenshots and tables, start with the camera version of the same walkthrough. The video is orientation, not proof: you will see the path model, loadings, reliability, and bootstrap under matched settings, so the later figures feel familiar instead of abstract.

For the broader validation approach behind SEMGate, see the About page.

02

One path model, drawn twice

A path model is the structural story you ask the algorithm to estimate: which constructs connect to which others, which indicators measure each construct, and which arrows carry the hypotheses you care about. If that story differs between tools, later digit gaps are unsurprising. They may simply mean you estimated two different models.

So we began with one diagram and rebuilt it carefully in both places. The constructs, indicators, and paths below are the same on the SmartPLS canvas and in SEMGate Studio. Only after that foundation looked identical did we move on to estimation settings.

SEMGate
SmartPLS

03

Matched estimation and bootstrap

Even with the same diagram, bootstrap results wander if the algorithm knobs disagree. Path weighting steers how inner-model weights update. Fixed seed makes the 5,000 bootstrap draws repeatable instead of a fresh random stream every run. BCa is the bias-corrected and accelerated confidence-interval method. α = 0.05 and two-tailed set the significance rule both tools use when they report p and intervals.

We locked those choices on both sides: Path weighting, Fixed seed, B = 5000, BCa, α = 0.05, two-tailed. The figure shows how each product labels the same decisions. Use Estimate and Bootstrap to flip between screens. The table beneath restates the match in plain columns.

SEMGate · Estimate
SmartPLS · PLS algorithm
SettingSEMGateSmartPLS 4.1.2.1
Data fileSatisfaction_Data.savSatisfaction_Data
Sample size (n)300300
Inner weighting schemepathPath
Bootstrap subsamples (B)50005000
Seed modefixedFixed seed
Confidence interval methodBCaBias-corrected and accelerated (BCa) bootstrap
Significance / tailsα = 0.05 (two-tailed)0.05, Two-tailed

04

What "aligned cells" means

Exports do not arrive ready for a fair comparison. Sheet names differ, some metrics appear under different labels, and a few rows exist on one side only. Alignment is the careful step of pairing cells that truly measure the same quantity: the same path, the same loading, the same bootstrap mean, standard deviation, |t|, p, or confidence bound.

Only those paired cells enter the scorecard. Rows we could not map honestly stay out of the match counts (they are documented as unaligned in the source data). After that pairing, we labeled each difference. Of 237 aligned cells, 237 landed in Match, 0 in Estimation/bootstrap noise, and 0 in Not match.

Aligned cells
237
Match
237
Estimation/bootstrap noise
0
Not match
0

05

How we scored agreement

For every aligned cell, Diff is SEMGate minus SmartPLS. Perfect machine equality is rare once floating-point math, export rounding, and Monte Carlo bootstrap residual meet. So we use three labels that separate tight agreement from ordinary numerical noise and from a true disagreement.

Match means the absolute difference stayed inside a tight band for that metric family: 0.0005 for Estimation cells, 0.001 for ordinary Bootstrap cells, 0.0015 for confidence-interval bounds, 0.05 for |t|, and 0.00005 for p. Think of Match as "close enough that a careful reader treats the digits as the same result."

Estimation/bootstrap noise is outside Match but still inside a wider band we treat as expected drift: estimation ≤ 0.005; bootstrap ≤ 0.02 or 5% relative; CI ≤ 0.025; |t| ≤ 0.5; p ≤ 0.01. This band catches tiny export-rounding or Within-MC residual without calling it a failure.

Not match is anything beyond that noise band, or a quantity present on only one side of a supposed pair. In this run, every aligned cell scored Match.

06

Read the cells yourself

The scorecard above is the summary. The table below is the evidence. Filter by Estimation or Bootstrap, scan a result family (paths, loadings, indirect effects, and the rest), or search a label. Values keep full export precision so you can audit any cell that entered the counts.

Showing 237 of 237 aligned cells

SourceItemSEMGateSmartPLSDiffMatch result
EstimationOuter loadingsBI1 <- BI · Original (O)0.9219310.9219311.110e-16Match
EstimationOuter loadingsBI2 <- BI · Original (O)0.8676320.867632-7.772e-16Match
EstimationOuter loadingsBI3 <- BI · Original (O)0.8630950.8630955.551e-16Match
EstimationOuter loadingsEducation <- Education · Original (O)1.000001.00000-7.772e-16Match
EstimationOuter loadingsSAT1 <- SAT · Original (O)0.5683290.5683291.554e-15Match
EstimationOuter loadingsSAT2 <- SAT · Original (O)0.3875510.387551-1.832e-15Match
EstimationOuter loadingsSAT3 <- SAT · Original (O)0.8089490.808949-1.443e-15Match
EstimationOuter loadingsSAT4 <- SAT · Original (O)0.8175260.817526-5.440e-15Match
EstimationOuter loadingsSAT5 <- SAT · Original (O)0.8157540.8157542.331e-15Match
EstimationOuter loadingsTRT1 <- TRT · Original (O)0.8563450.856345-2.220e-16Match
EstimationOuter loadingsTRT2 <- TRT · Original (O)0.8887400.8887401.110e-16Match
EstimationOuter loadingsTRT3 <- TRT · Original (O)0.8335290.833529-1.110e-15Match
EstimationOuter loadingsTRT4 <- TRT · Original (O)0.8571290.8571291.221e-15Match
EstimationOuter loadingsWoM1 <- WoM · Original (O)0.8374640.8374647.772e-16Match
EstimationOuter loadingsWoM2 <- WoM · Original (O)0.8114400.811440-3.331e-16Match
EstimationOuter loadingsWoM3 <- WoM · Original (O)0.8740000.874000-3.331e-16Match
EstimationPath coefficientsEducation -> BI · Original (O)0.04091170.0409117-3.469e-16Match
BootstrapPath coefficientsEducation -> BI · Sample mean (M)0.04007120.04007128.327e-17Match
BootstrapPath coefficientsEducation -> BI · STDEV0.03951390.03950993.952e-6Match
BootstrapPath coefficientsEducation -> BI · |t|1.035381.03548-0.000103553Match
BootstrapPath coefficientsEducation -> BI · p0.3004930.300495-1.708e-6Match
BootstrapPath coefficientsEducation -> BI · CI pct low-0.0370917-0.03718429.250e-5Match
BootstrapPath coefficientsEducation -> BI · CI pct high0.1178900.1178908.501e-8Match
BootstrapPath coefficientsEducation -> BI · Bias-0.000840567-0.0008405674.302e-16Match
BootstrapPath coefficientsEducation -> BI · CI BC low-0.0371219-0.03718426.231e-5Match
BootstrapPath coefficientsEducation -> BI · CI BC high0.1177650.1177402.531e-5Match
EstimationPath coefficientsSAT -> BI · Original (O)0.5783240.578324-2.998e-15Match
BootstrapPath coefficientsSAT -> BI · Sample mean (M)0.5797360.5797366.661e-16Match
BootstrapPath coefficientsSAT -> BI · STDEV0.06535590.06534936.536e-6Match
BootstrapPath coefficientsSAT -> BI · |t|8.848858.84974-0.000885018Match
BootstrapPath coefficientsSAT -> BI · p0.000005.684e-14-5.684e-14Match
BootstrapPath coefficientsSAT -> BI · CI pct low0.4443530.4443331.931e-5Match
BootstrapPath coefficientsSAT -> BI · CI pct high0.7014330.7014284.371e-6Match
BootstrapPath coefficientsSAT -> BI · Bias0.001411220.001411223.664e-15Match
BootstrapPath coefficientsSAT -> BI · CI BC low0.4372980.4372425.690e-5Match
BootstrapPath coefficientsSAT -> BI · CI BC high0.6937660.693768-1.594e-6Match
EstimationPath coefficientsSAT -> WoM · Original (O)0.1854150.185415-1.499e-15Match
BootstrapPath coefficientsSAT -> WoM · Sample mean (M)0.1895820.189582-4.996e-16Match
BootstrapPath coefficientsSAT -> WoM · STDEV0.06876840.06876156.877e-6Match
BootstrapPath coefficientsSAT -> WoM · |t|2.696222.69649-0.000269662Match
BootstrapPath coefficientsSAT -> WoM · p0.007013160.00703095-1.780e-5Match
BootstrapPath coefficientsSAT -> WoM · CI pct low0.05303010.05248560.000544516Match
BootstrapPath coefficientsSAT -> WoM · CI pct high0.3217530.3217494.693e-6Match
BootstrapPath coefficientsSAT -> WoM · Bias0.004167810.004167819.992e-16Match
BootstrapPath coefficientsSAT -> WoM · CI BC low0.04407040.04405391.657e-5Match
BootstrapPath coefficientsSAT -> WoM · CI BC high0.3124290.312462-3.324e-5Match
EstimationPath coefficientsTRT -> BI · Original (O)0.3098420.309842-3.275e-15Match
BootstrapPath coefficientsTRT -> BI · Sample mean (M)0.3044180.3044181.665e-16Match
BootstrapPath coefficientsTRT -> BI · STDEV0.1000740.1000641.001e-5Match
BootstrapPath coefficientsTRT -> BI · |t|3.096143.09645-0.000309660Match
BootstrapPath coefficientsTRT -> BI · p0.001960580.00196937-8.793e-6Match
BootstrapPath coefficientsTRT -> BI · CI pct low0.1013580.1008760.000482644Match
BootstrapPath coefficientsTRT -> BI · CI pct high0.4898020.4898019.807e-7Match
BootstrapPath coefficientsTRT -> BI · Bias-0.00542450-0.005424503.442e-15Match
BootstrapPath coefficientsTRT -> BI · CI BC low0.1046110.1045179.318e-5Match
BootstrapPath coefficientsTRT -> BI · CI BC high0.4915770.491605-2.815e-5Match
EstimationPath coefficientsTRT -> WoM · Original (O)0.3020800.3020809.437e-16Match
BootstrapPath coefficientsTRT -> WoM · Sample mean (M)0.3068820.3068824.996e-16Match
BootstrapPath coefficientsTRT -> WoM · STDEV0.06630050.06629396.630e-6Match
BootstrapPath coefficientsTRT -> WoM · |t|4.556224.55668-0.000455691Match
BootstrapPath coefficientsTRT -> WoM · p5.208e-65.321e-6-1.127e-7Match
BootstrapPath coefficientsTRT -> WoM · CI pct low0.1791960.1788850.000310937Match
BootstrapPath coefficientsTRT -> WoM · CI pct high0.4418230.4418167.110e-6Match
BootstrapPath coefficientsTRT -> WoM · Bias0.004802170.00480217-4.441e-16Match
BootstrapPath coefficientsTRT -> WoM · CI BC low0.1733300.1726970.000632905Match
BootstrapPath coefficientsTRT -> WoM · CI BC high0.4330930.4329650.000128088Match
EstimationPath coefficientsTRT x SAT -> BI · Original (O)0.1229160.122916-3.053e-15Match
BootstrapPath coefficientsTRT x SAT -> BI · Sample mean (M)0.1202510.1202512.498e-16Match
BootstrapPath coefficientsTRT x SAT -> BI · STDEV0.04083820.04083414.084e-6Match
BootstrapPath coefficientsTRT x SAT -> BI · |t|3.009823.01013-0.000301028Match
BootstrapPath coefficientsTRT x SAT -> BI · p0.002613990.00262443-1.044e-5Match
BootstrapPath coefficientsTRT x SAT -> BI · CI pct low0.03803800.03798325.481e-5Match
BootstrapPath coefficientsTRT x SAT -> BI · CI pct high0.1985990.1985988.962e-7Match
BootstrapPath coefficientsTRT x SAT -> BI · Bias-0.00266435-0.002664353.303e-15Match
BootstrapPath coefficientsTRT x SAT -> BI · CI BC low0.04129870.04106970.000228945Match
BootstrapPath coefficientsTRT x SAT -> BI · CI BC high0.2020450.2019806.514e-5Match
EstimationPath coefficientsTRT x SAT -> WoM · Original (O)-0.132085-0.1320855.551e-17Match
BootstrapPath coefficientsTRT x SAT -> WoM · Sample mean (M)-0.128999-0.1289995.551e-17Match
BootstrapPath coefficientsTRT x SAT -> WoM · STDEV0.04361020.04360594.361e-6Match
BootstrapPath coefficientsTRT x SAT -> WoM · |t|3.028753.02905-0.000302921Match
BootstrapPath coefficientsTRT x SAT -> WoM · p0.002455670.00246573-1.006e-5Match
BootstrapPath coefficientsTRT x SAT -> WoM · CI pct low-0.213616-0.2139700.000353918Match
BootstrapPath coefficientsTRT x SAT -> WoM · CI pct high-0.0402989-0.04030374.862e-6Match
BootstrapPath coefficientsTRT x SAT -> WoM · Bias0.003085560.003085560.00000Match
BootstrapPath coefficientsTRT x SAT -> WoM · CI BC low-0.219950-0.2199792.857e-5Match
BootstrapPath coefficientsTRT x SAT -> WoM · CI BC high-0.0473284-0.04768340.000355060Match
EstimationPath coefficientsWoM -> BI · Original (O)0.1847820.1847821.443e-15Match
BootstrapPath coefficientsWoM -> BI · Sample mean (M)0.1850490.185049-5.551e-16Match
BootstrapPath coefficientsWoM -> BI · STDEV0.04179630.04179214.180e-6Match
BootstrapPath coefficientsWoM -> BI · |t|4.421024.42147-0.000442169Match
BootstrapPath coefficientsWoM -> BI · p9.823e-61.001e-5-1.881e-7Match
BootstrapPath coefficientsWoM -> BI · CI pct low0.1028440.1025150.000329247Match
BootstrapPath coefficientsWoM -> BI · CI pct high0.2677940.2677922.650e-6Match
BootstrapPath coefficientsWoM -> BI · Bias0.0002669070.000266907-1.998e-15Match
BootstrapPath coefficientsWoM -> BI · CI BC low0.1025120.1023840.000127692Match
BootstrapPath coefficientsWoM -> BI · CI BC high0.2676020.2675525.014e-5Match
EstimationSpecific indirect effectsSAT -> WoM -> BI · Original (O)0.03426130.0342613-6.939e-18Match
BootstrapSpecific indirect effectsSAT -> WoM -> BI · STDEV0.01493660.01493511.494e-6Match
BootstrapSpecific indirect effectsSAT -> WoM -> BI · |t|2.293792.29402-0.000229413Match
BootstrapSpecific indirect effectsSAT -> WoM -> BI · p0.02180270.0218308-2.808e-5Match
BootstrapSpecific indirect effectsSAT -> WoM -> BI · CI pct low0.008750900.008726592.430e-5Match
BootstrapSpecific indirect effectsSAT -> WoM -> BI · CI pct high0.06695270.06694913.637e-6Match
BootstrapSpecific indirect effectsSAT -> WoM -> BI · CI BC low0.009725010.009691923.309e-5Match
BootstrapSpecific indirect effectsSAT -> WoM -> BI · CI BC high0.06840300.06835494.810e-5Match
EstimationSpecific indirect effectsTRT -> WoM -> BI · Original (O)0.05581900.05581906.106e-16Match
BootstrapSpecific indirect effectsTRT -> WoM -> BI · STDEV0.01673320.01673151.673e-6Match
BootstrapSpecific indirect effectsTRT -> WoM -> BI · |t|3.335833.33617-0.000333633Match
BootstrapSpecific indirect effectsTRT -> WoM -> BI · p0.0008504390.000855615-5.176e-6Match
BootstrapSpecific indirect effectsTRT -> WoM -> BI · CI pct low0.02883190.02876206.996e-5Match
BootstrapSpecific indirect effectsTRT -> WoM -> BI · CI pct high0.09417070.09416713.576e-6Match
BootstrapSpecific indirect effectsTRT -> WoM -> BI · CI BC low0.03050960.03030990.000199716Match
BootstrapSpecific indirect effectsTRT -> WoM -> BI · CI BC high0.09737760.09727140.000106229Match
EstimationSpecific indirect effectsTRT x SAT -> WoM -> BI · Original (O)-0.0244069-0.0244069-1.804e-16Match
BootstrapSpecific indirect effectsTRT x SAT -> WoM -> BI · STDEV0.01028800.01028701.029e-6Match
BootstrapSpecific indirect effectsTRT x SAT -> WoM -> BI · |t|2.372362.37260-0.000237271Match
BootstrapSpecific indirect effectsTRT x SAT -> WoM -> BI · p0.01767490.0177012-2.626e-5Match
BootstrapSpecific indirect effectsTRT x SAT -> WoM -> BI · CI pct low-0.0467336-0.04673763.933e-6Match
BootstrapSpecific indirect effectsTRT x SAT -> WoM -> BI · CI pct high-0.00648415-0.006484172.433e-8Match
BootstrapSpecific indirect effectsTRT x SAT -> WoM -> BI · CI BC low-0.0507079-0.0506625-4.544e-5Match
BootstrapSpecific indirect effectsTRT x SAT -> WoM -> BI · CI BC high-0.00834864-0.00833528-1.337e-5Match
EstimationTotal effectsEducation -> BI · Original (O)0.04091170.0409117-3.400e-16Match
BootstrapTotal effectsEducation -> BI · Sample mean (M)0.04007120.04007128.327e-17Match
BootstrapTotal effectsEducation -> BI · STDEV0.03951390.03950993.952e-6Match
BootstrapTotal effectsEducation -> BI · |t|1.035381.03548-0.000103553Match
BootstrapTotal effectsEducation -> BI · p0.3004930.300495-1.708e-6Match
BootstrapTotal effectsEducation -> BI · CI pct low-0.0370917-0.03718429.250e-5Match
BootstrapTotal effectsEducation -> BI · CI pct high0.1178900.1178908.501e-8Match
BootstrapTotal effectsEducation -> BI · Bias-0.000840567-0.0008405674.233e-16Match
BootstrapTotal effectsEducation -> BI · CI BC low-0.0371219-0.03718426.231e-5Match
BootstrapTotal effectsEducation -> BI · CI BC high0.1177650.1177402.531e-5Match
EstimationTotal effectsSAT -> BI · Original (O)0.6125860.612586-2.998e-15Match
BootstrapTotal effectsSAT -> BI · Sample mean (M)0.6146030.6146038.882e-16Match
BootstrapTotal effectsSAT -> BI · STDEV0.06547550.06546896.548e-6Match
BootstrapTotal effectsSAT -> BI · |t|9.355969.35689-0.000935736Match
BootstrapTotal effectsSAT -> BI · p0.000005.684e-14-5.684e-14Match
BootstrapTotal effectsSAT -> BI · CI pct low0.4798640.4793040.000559713Match
BootstrapTotal effectsSAT -> BI · CI pct high0.7359690.7359644.724e-6Match
BootstrapTotal effectsSAT -> BI · Bias0.002017790.002017793.886e-15Match
BootstrapTotal effectsSAT -> BI · CI BC low0.4705910.4705019.001e-5Match
BootstrapTotal effectsSAT -> BI · CI BC high0.7295220.729617-9.459e-5Match
EstimationTotal effectsSAT -> WoM · Original (O)0.1854150.185415-1.138e-15Match
BootstrapTotal effectsSAT -> WoM · Sample mean (M)0.1895820.189582-4.718e-16Match
BootstrapTotal effectsSAT -> WoM · STDEV0.06876840.06876156.877e-6Match
BootstrapTotal effectsSAT -> WoM · |t|2.696222.69649-0.000269662Match
BootstrapTotal effectsSAT -> WoM · p0.007013160.00703095-1.780e-5Match
BootstrapTotal effectsSAT -> WoM · CI pct low0.05303010.05248560.000544516Match
BootstrapTotal effectsSAT -> WoM · CI pct high0.3217530.3217494.693e-6Match
BootstrapTotal effectsSAT -> WoM · Bias0.004167810.004167816.661e-16Match
BootstrapTotal effectsSAT -> WoM · CI BC low0.04407040.04405391.657e-5Match
BootstrapTotal effectsSAT -> WoM · CI BC high0.3124290.312462-3.324e-5Match
EstimationTotal effectsTRT -> BI · Original (O)0.3656610.365661-2.554e-15Match
BootstrapTotal effectsTRT -> BI · Sample mean (M)0.3607280.360728-4.441e-16Match
BootstrapTotal effectsTRT -> BI · STDEV0.09303210.09302289.304e-6Match
BootstrapTotal effectsTRT -> BI · |t|3.930483.93088-0.000393107Match
BootstrapTotal effectsTRT -> BI · p8.477e-58.578e-5-1.011e-6Match
BootstrapTotal effectsTRT -> BI · CI pct low0.1728110.1726560.000155541Match
BootstrapTotal effectsTRT -> BI · CI pct high0.5350730.5350711.040e-6Match
BootstrapTotal effectsTRT -> BI · Bias-0.00493293-0.004932932.109e-15Match
BootstrapTotal effectsTRT -> BI · CI BC low0.1782140.1781456.869e-5Match
BootstrapTotal effectsTRT -> BI · CI BC high0.5366720.5366551.678e-5Match
EstimationTotal effectsTRT -> WoM · Original (O)0.3020800.3020801.221e-15Match
BootstrapTotal effectsTRT -> WoM · Sample mean (M)0.3068820.3068825.551e-16Match
BootstrapTotal effectsTRT -> WoM · STDEV0.06630050.06629396.630e-6Match
BootstrapTotal effectsTRT -> WoM · |t|4.556224.55668-0.000455691Match
BootstrapTotal effectsTRT -> WoM · p5.208e-65.321e-6-1.128e-7Match
BootstrapTotal effectsTRT -> WoM · CI pct low0.1791960.1788850.000310937Match
BootstrapTotal effectsTRT -> WoM · CI pct high0.4418230.4418167.110e-6Match
BootstrapTotal effectsTRT -> WoM · Bias0.004802170.00480217-6.661e-16Match
BootstrapTotal effectsTRT -> WoM · CI BC low0.1733300.1726970.000632905Match
BootstrapTotal effectsTRT -> WoM · CI BC high0.4330930.4329650.000128088Match
EstimationTotal indirect effectsTRT x SAT -> BI · Original (O)-0.0244069-0.0244069-2.151e-16Match
BootstrapTotal indirect effectsTRT x SAT -> BI · Sample mean (M)-0.0240080-0.02400804.510e-17Match
BootstrapTotal indirect effectsTRT x SAT -> BI · STDEV0.01028800.01028701.029e-6Match
BootstrapTotal indirect effectsTRT x SAT -> BI · |t|2.372362.37260-0.000237271Match
BootstrapTotal indirect effectsTRT x SAT -> BI · p0.01767490.0177012-2.626e-5Match
BootstrapTotal indirect effectsTRT x SAT -> BI · CI pct low-0.0467336-0.04673763.933e-6Match
BootstrapTotal indirect effectsTRT x SAT -> BI · CI pct high-0.00648415-0.006484172.433e-8Match
BootstrapTotal indirect effectsTRT x SAT -> BI · Bias0.0003988840.0003988842.602e-16Match
BootstrapTotal indirect effectsTRT x SAT -> BI · CI BC low-0.0507079-0.0506625-4.544e-5Match
BootstrapTotal indirect effectsTRT x SAT -> BI · CI BC high-0.00834864-0.00833528-1.337e-5Match
EstimationTotal effectsTRT x SAT -> WoM · Original (O)-0.132085-0.1320852.776e-17Match
BootstrapTotal effectsTRT x SAT -> WoM · Sample mean (M)-0.128999-0.1289998.327e-17Match
BootstrapTotal effectsTRT x SAT -> WoM · STDEV0.04361020.04360594.361e-6Match
BootstrapTotal effectsTRT x SAT -> WoM · |t|3.028753.02905-0.000302921Match
BootstrapTotal effectsTRT x SAT -> WoM · p0.002455670.00246573-1.006e-5Match
BootstrapTotal effectsTRT x SAT -> WoM · CI pct low-0.213616-0.2139700.000353918Match
BootstrapTotal effectsTRT x SAT -> WoM · CI pct high-0.0402989-0.04030374.862e-6Match
BootstrapTotal effectsTRT x SAT -> WoM · Bias0.003085560.003085565.551e-17Match
BootstrapTotal effectsTRT x SAT -> WoM · CI BC low-0.219950-0.2199792.857e-5Match
BootstrapTotal effectsTRT x SAT -> WoM · CI BC high-0.0473284-0.04768340.000355060Match
EstimationTotal effectsWoM -> BI · Original (O)0.1847820.1847821.610e-15Match
BootstrapTotal effectsWoM -> BI · Sample mean (M)0.1850490.185049-5.274e-16Match
BootstrapTotal effectsWoM -> BI · STDEV0.04179630.04179214.180e-6Match
BootstrapTotal effectsWoM -> BI · |t|4.421024.42147-0.000442169Match
BootstrapTotal effectsWoM -> BI · p9.823e-61.001e-5-1.885e-7Match
BootstrapTotal effectsWoM -> BI · CI pct low0.1028440.1025150.000329247Match
BootstrapTotal effectsWoM -> BI · CI pct high0.2677940.2677922.650e-6Match
BootstrapTotal effectsWoM -> BI · Bias0.0002669070.000266907-2.137e-15Match
BootstrapTotal effectsWoM -> BI · CI BC low0.1025120.1023840.000127692Match
BootstrapTotal effectsWoM -> BI · CI BC high0.2676020.2675525.014e-5Match
EstimationCoMe omegaCoMe ω (SAT -> WoM -> BI; W=TRT) ≡ TRT x SAT -> WoM -> BI · Original (O)-0.0244069-0.0244069-1.804e-16Match
BootstrapCoMe omegaCoMe ω (SAT -> WoM -> BI; W=TRT) ≡ TRT x SAT -> WoM -> BI · Sample mean (M)-0.0240080-0.02400806.939e-17Match
BootstrapCoMe omegaCoMe ω (SAT -> WoM -> BI; W=TRT) ≡ TRT x SAT -> WoM -> BI · STDEV0.01028800.01028701.029e-6Match
BootstrapCoMe omegaCoMe ω (SAT -> WoM -> BI; W=TRT) ≡ TRT x SAT -> WoM -> BI · |t|2.372362.37260-0.000237271Match
BootstrapCoMe omegaCoMe ω (SAT -> WoM -> BI; W=TRT) ≡ TRT x SAT -> WoM -> BI · p0.01767490.0177012-2.626e-5Match
BootstrapCoMe omegaCoMe ω (SAT -> WoM -> BI; W=TRT) ≡ TRT x SAT -> WoM -> BI · CI pct low-0.0467336-0.04673763.933e-6Match
BootstrapCoMe omegaCoMe ω (SAT -> WoM -> BI; W=TRT) ≡ TRT x SAT -> WoM -> BI · CI pct high-0.00648415-0.006484172.433e-8Match
BootstrapCoMe omegaCoMe ω (SAT -> WoM -> BI; W=TRT) ≡ TRT x SAT -> WoM -> BI · Bias0.0003988840.0003988842.498e-16Match
BootstrapCoMe omegaCoMe ω (SAT -> WoM -> BI; W=TRT) ≡ TRT x SAT -> WoM -> BI · CI BC low-0.0507079-0.0506625-4.544e-5Match
BootstrapCoMe omegaCoMe ω (SAT -> WoM -> BI; W=TRT) ≡ TRT x SAT -> WoM -> BI · CI BC high-0.00834864-0.00833528-1.337e-5Match
EstimationConditional indirect effectsSAT -> WoM -> BI TRT at +1 SD · Original (O)0.009854430.00985443-1.891e-16Match
BootstrapConditional indirect effectsSAT -> WoM -> BI TRT at +1 SD · Sample mean (M)0.01085990.0108599-1.735e-18Match
BootstrapConditional indirect effectsSAT -> WoM -> BI TRT at +1 SD · STDEV0.01825500.01825321.826e-6Match
BootstrapConditional indirect effectsSAT -> WoM -> BI TRT at +1 SD · |t|0.5398210.539875-5.399e-5Match
BootstrapConditional indirect effectsSAT -> WoM -> BI TRT at +1 SD · p0.5893200.5893071.320e-5Match
BootstrapConditional indirect effectsSAT -> WoM -> BI TRT at +1 SD · CI pct low-0.0252823-0.02536538.299e-5Match
BootstrapConditional indirect effectsSAT -> WoM -> BI TRT at +1 SD · CI pct high0.04817080.04817053.343e-7Match
BootstrapConditional indirect effectsSAT -> WoM -> BI TRT at +1 SD · CI BC low-0.0274467-0.02755840.000111725Match
BootstrapConditional indirect effectsSAT -> WoM -> BI TRT at +1 SD · CI BC high0.04627440.04624922.514e-5Match
EstimationConditional indirect effectsSAT -> WoM -> BI TRT at -1 SD · Original (O)0.05866820.05866821.735e-16Match
BootstrapConditional indirect effectsSAT -> WoM -> BI TRT at -1 SD · Sample mean (M)0.05887590.05887596.245e-17Match
BootstrapConditional indirect effectsSAT -> WoM -> BI TRT at -1 SD · STDEV0.01801790.01801611.802e-6Match
BootstrapConditional indirect effectsSAT -> WoM -> BI TRT at -1 SD · |t|3.256113.25643-0.000325659Match
BootstrapConditional indirect effectsSAT -> WoM -> BI TRT at -1 SD · p0.001129520.00113575-6.229e-6Match
BootstrapConditional indirect effectsSAT -> WoM -> BI TRT at -1 SD · CI pct low0.02810000.02805044.956e-5Match
BootstrapConditional indirect effectsSAT -> WoM -> BI TRT at -1 SD · CI pct high0.09854920.09854712.077e-6Match
BootstrapConditional indirect effectsSAT -> WoM -> BI TRT at -1 SD · CI BC low0.03012310.03003059.267e-5Match
BootstrapConditional indirect effectsSAT -> WoM -> BI TRT at -1 SD · CI BC high0.1016840.1014970.000186108Match
EstimationConditional indirect effectsSAT -> WoM -> BI TRT at Mean · Original (O)0.03426130.0342613-6.939e-18Match
BootstrapConditional indirect effectsSAT -> WoM -> BI TRT at Mean · Sample mean (M)0.03486790.0348679-1.388e-16Match
BootstrapConditional indirect effectsSAT -> WoM -> BI TRT at Mean · STDEV0.01493660.01493511.494e-6Match
BootstrapConditional indirect effectsSAT -> WoM -> BI TRT at Mean · |t|2.293792.29402-0.000229413Match
BootstrapConditional indirect effectsSAT -> WoM -> BI TRT at Mean · p0.02180270.0218308-2.808e-5Match
BootstrapConditional indirect effectsSAT -> WoM -> BI TRT at Mean · CI pct low0.008750900.008726592.430e-5Match
BootstrapConditional indirect effectsSAT -> WoM -> BI TRT at Mean · CI pct high0.06695270.06694913.637e-6Match
BootstrapConditional indirect effectsSAT -> WoM -> BI TRT at Mean · CI BC low0.009725010.009691923.309e-5Match
BootstrapConditional indirect effectsSAT -> WoM -> BI TRT at Mean · CI BC high0.06840300.06835494.810e-5Match

07

Try it yourself

If the story still feels abstract, run the same sequence on your machine. Download Satisfaction_Data.sav, open it in SmartPLS 4.1.2.1 and in SEMGate, and rebuild the path model from the diagrams above.

Then lock the same knobs we used: Path weighting, Fixed seed, B = 5000, BCa, α = 0.05, and two-tailed. Export Estimation and Bootstrap from both tools, line up the cells the way this page does, and compare your Diff values with the searchable table. That is the whole validation story: same data, same model, same rules, then the digits.

SmartPLS is a trademark of SmartPLS GmbH. This page is an independent digit comparison for validation documentation.

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