Results

Path Analysis

Models Info
   
Estimation MethodML.
Number of observations357
Free parameters12
ConvergedTRUE
 
Loglikelihood user model-369.337
Loglikelihood unrestricted model-368.601
 
ModelIntimacy ~ CompulsiveInternetuse
Commitment ~ Intimacy
[3]

 

Overall Tests

Model Tests
LabelX²dfp
User Model1.4723754.832
Baseline Model140.3576746<.001
Groups statistics   
Group 10.2046282.903
Group 21.2677472.531
Constraints Score Test0.0280212.986

 

Constraints Score Tests
TypePar 1 Par 2X²dfp
Univariatep1==p90.02455351.875
p2==p100.00346711.953

 

Fit Indices
RMSEA 95% CI
AICBICadj. BICSRMRRMSEALowerUpperRMSEA p
758.67797.45765.730.016760.000000.000000.06609.916

 

Fit Indices
CFITLIRNIGFIadj. GFIpars. GFI
1.000001.028221.018810.999970.999870.22222

 

Estimates

R-squared
95% Confidence Intervals
GroupVariableR²LowerUpper
0Intimacy0.0266630.003660.06898
Commitment0.3224750.243190.40231
1Intimacy0.0142070.000240.04852
Commitment0.2941050.215920.37415

 

Parameter Estimates
95% Confidence Intervals
GroupDepPredEstimateSELowerUpperβzp
0IntimacyCompulsiveInternetuse-0.133200.048868-0.22898-0.037422-0.16329-2.7257.006
CommitmentIntimacy0.474840.0376360.401080.5486060.5678712.6167<.001
1IntimacyCompulsiveInternetuse-0.133200.048868-0.22898-0.037422-0.11919-2.7257.006
CommitmentIntimacy0.474840.0376360.401080.5486060.5423112.6167<.001
[4]

 

Variances and Covariances
95% Confidence Intervals
GroupVariable 1Variable 2EstimateSELowerUpperβzpMethodType
0IntimacyIntimacy0.231850.0247150.1834070.280290.973349.3808<.001EstimResiduals
CommitmentCommitment0.112840.0120290.0892640.136420.677539.3808<.001EstimResiduals
CompulsiveInternetuseCompulsiveInternetuse0.357950.0000000.3579550.357951.00000  SampleVariables
1IntimacyIntimacy0.226370.0237960.1797350.273010.985799.5131<.001EstimResiduals
CommitmentCommitment0.124270.0130630.0986690.149880.705899.5131<.001EstimResiduals
CompulsiveInternetuseCompulsiveInternetuse0.183880.0000000.1838780.183881.00000  SampleVariables

 

Intercepts
95% Confidence Intervals
GroupVariableInterceptSELowerUpperzp
0Intimacy4.799110.091554.619664.9785552.418350.00000
Commitment2.449980.173852.109242.7907214.092480.00000
CompulsiveInternetuse1.720000.000001.720001.72000  
1Intimacy4.777810.077454.626024.9296161.689690.00000
Commitment2.520480.174722.178032.8629314.425430.00000
CompulsiveInternetuse1.410000.000001.410001.41000  

 

Path Model

Path Diagrams

huswiv = 0

huswiv = 1

[5]

Model diagram notes
Tree-alternative layout requires rotation to be `Exogenous Top` or `Exogenous Bottom`. Rotation has been set to `Exogenous Top`

 

Structural Equation Modelling

Models Info
   
Estimation MethodML.
Optimization MethodNLMINB
Number of observations357
Free parameters9
Standard errorsStandard
Scaled testNone
ConvergedTRUE
Iterations45
 
ModelExogenous1=~CompulsiveInternetuse
Endogenous1=~Commitment+Intimacy
 

Note. lavaan->lav_object_post_check(): some estimated ov variances are negative

[6] [4]

 

Overall Tests

Model tests
LabelX²dfp
User Model3.1708e-130 
Baseline Model138.393<.001

 

Fit indices
95% Confidence Intervals
SRMRRMSEALowerUpperRMSEA p
0.000000.000000.000000.00000 

 

User model versus baseline model
 Model
Comparative Fit Index (CFI)1.00000
Tucker-Lewis Index (TLI)1.00000
Bentler-Bonett Non-normed Fit Index (NNFI)1.00000
Relative Noncentrality Index (RNI)1.00000
Bentler-Bonett Normed Fit Index (NFI)1.00000
Bollen's Relative Fit Index (RFI)1.00000
Bollen's Incremental Fit Index (IFI)1.00000
Parsimony Normed Fit Index (PNFI)0.00000

 

Estimates

Measurement model
95% Confidence Intervals
LatentObservedEstimateSELowerUpperβzp
Exogenous1CompulsiveInternetuse1.00000.00001.00001.00001.00000  
Endogenous1Commitment1.00000.00001.00001.00000.48569  
Intimacy2.73121.9988-1.18656.64881.140481.3664.172

 

Variances and Covariances
95% Confidence Intervals
Variable 1Variable 2EstimateSELowerUpperβzp
CompulsiveInternetuseCompulsiveInternetuse0.0000000.0000000.0000000.00000000.00000  
CommitmentCommitment0.1321460.0311740.0710460.19324510.764104.23902<.001
IntimacyIntimacy-0.0703500.220580-0.5026790.3619782-0.30069-0.31893.750
Exogenous1Exogenous10.2937180.0219840.2506290.33680611.0000013.36039<.001
Endogenous1Endogenous10.0407970.030720-0.0194120.10100651.000001.32804.184
Exogenous1Endogenous1-0.0137290.011951-0.0371520.0096932-0.12542-1.14885.251

 

Intercepts
95% Confidence Intervals
VariableInterceptSELowerUpperzp
CompulsiveInternetuse1.562830.028681.506611.6190554.48544<.001
Commitment4.660560.022014.617424.70370211.74880<.001
Intimacy4.580140.025604.529964.63032178.91149<.001
Exogenous10.000000.000000.000000.00000  
Endogenous10.000000.000000.000000.00000  

 

Structural Equation Models

Models Info
   
Estimation MethodML.
Optimization MethodNLMINB
Number of observations357
Free parameters8
Standard errorsStandard
Scaled testNone
ConvergedTRUE
Iterations2
 
Model Intimacy ~ CompulsiveInternetuse
Commitment ~ Intimacy
Intimacy ~~ Intimacy
Commitment ~~ Commitment
 
[6] [4]

 

Overall Tests

Model tests
LabelX²dfp
User Model0.176451.674
Baseline Model138.390423<.001

 

Fit indices
95% Confidence Intervals
SRMRRMSEALowerUpperRMSEA p
0.006110.000000.000000.10546.786

 

User model versus baseline model
 Model
Comparative Fit Index (CFI)1.00000
Tucker-Lewis Index (TLI)1.01825
Bentler-Bonett Non-normed Fit Index (NNFI)1.01825
Relative Noncentrality Index (RNI)1.00608
Bentler-Bonett Normed Fit Index (NFI)0.99873
Bollen's Relative Fit Index (RFI)0.99618
Bollen's Incremental Fit Index (IFI)1.00599
Parsimony Normed Fit Index (PNFI)0.33291

 

Estimates

Parameters estimates
95% Confidence Intervals
DepPredEstimateSELowerUpperβzp
IntimacyCompulsiveInternetuse-0.127660.046751-0.21929-0.036034-0.14304-2.7307.006
CommitmentIntimacy0.476240.0378850.401990.5504930.5539212.5708<.001

 

Variances and Covariances
95% Confidence Intervals
Variable 1Variable 2EstimateSELowerUpperβzp
IntimacyIntimacy0.229180.01715350.195560.262800.9795413.360<.001
CommitmentCommitment0.119880.00897270.102290.137460.6931713.360<.001
CompulsiveInternetuseCompulsiveInternetuse0.293720.02198420.250630.336811.0000013.360<.001

 

Intercepts
95% Confidence Intervals
VariableInterceptSELowerUpperzp
Intimacy4.779660.077334.628094.9312261.80735<.001
Commitment2.479310.174482.137342.8212914.20960<.001
CompulsiveInternetuse1.562830.028681.506611.6190554.48544<.001

 

References

[1] The jamovi project (2025). jamovi. (Version 2.7) [Computer Software]. Retrieved from https://www.jamovi.org.

[2] R Core Team (2025). R: A Language and environment for statistical computing. (Version 4.5) [Computer software]. Retrieved from https://cran.r-project.org. (R packages retrieved from CRAN snapshot 2025-05-25).

[3] Gallucci, M. (2021). PATHj: jamovi Path Analysis (Version 1.1.4). [jamovi module]. For help please visit https://pathj.github.io/.

[4] Rosseel, Y. (2019). lavaan: An R Package for Structural Equation Modeling. Journal of Statistical Software, 48(2), 1-36. link.

[5] Epskamp S. , Stuber S., Nak J., Veenman M,, Jorgensen T.D. (2019). semPlot: Path Diagrams and Visual Analysis of Various SEM Packages' Output. [R Package]. Retrieved from https://CRAN.R-project.org/package=semPlot.

[6] Gallucci, M., Jentschke, S. (2021). SEMLj: jamovi SEM Analysis. [jamovi module]. For help please visit https://semlj.github.io/.