Models Info | ||
---|---|---|
Setup | . | we need at least 1 exogenous variable |
[3] |
Model Tests | |||
---|---|---|---|
Label | X² | df | p |
Fit Indices | |||||||
---|---|---|---|---|---|---|---|
AIC | BIC | adj. BIC | SRMR | RMSEA | Lower | Upper | RMSEA p |
Fit Indices | |||||
---|---|---|---|---|---|
CFI | TLI | RNI | GFI | adj. GFI | pars. GFI |
R-squared | |||
---|---|---|---|
Variable | R² | Lower | Upper |
Parameter Estimates | ||||||||
---|---|---|---|---|---|---|---|---|
Dep | Pred | Estimate | SE | Lower | Upper | β | z | p |
[4]
Variances and Covariances | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|
Variable 1 | Variable 2 | Estimate | SE | Lower | Upper | β | z | p | Method | Type |
Intercepts | ||||||
---|---|---|---|---|---|---|
Variable | Intercept | SE | Lower | Upper | z | p |
Models Info | ||
---|---|---|
Estimation Method | ML | . |
Number of observations | 100 | |
Free parameters | 4 | |
Converged | TRUE | |
Loglikelihood user model | -454.41 | |
Loglikelihood unrestricted model | -454.41 | |
Model | ExamScore ~ Motivation + StudyTime | |
[3] |
Model Tests | |||
---|---|---|---|
Label | X² | df | p |
Baseline Model | 44.1 | 2 | <.001 |
Fit Indices | |||||||
---|---|---|---|---|---|---|---|
RMSEA 95% CI | |||||||
AIC | BIC | adj. BIC | SRMR | RMSEA | Lower | Upper | RMSEA p |
917 | 927 | 915 | 0.000 | 0.000 | 0.000 | 0.000 | NaN |
Fit Indices | |||||
---|---|---|---|---|---|
CFI | TLI | RNI | GFI | adj. GFI | pars. GFI |
1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.000 |
R-squared | ||||||
---|---|---|---|---|---|---|
95% Confidence Intervals | ||||||
Variable | R² | Lower | Upper | Wald X² | df | p |
ExamScore | 0.356 | 0.206 | 0.504 | 55.4 | 2 | <.001 |
Parameter Estimates | ||||||||
---|---|---|---|---|---|---|---|---|
95% Confidence Intervals | ||||||||
Dep | Pred | Estimate | SE | Lower | Upper | β | z | p |
ExamScore | Motivation | 0.496 | 0.172 | 0.159 | 0.833 | 0.246 | 2.89 | 0.004 |
ExamScore | StudyTime | 0.702 | 0.128 | 0.450 | 0.953 | 0.467 | 5.47 | <.001 |
[4] |
Variances and Covariances | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|
95% Confidence Intervals | ||||||||||
Variable 1 | Variable 2 | Estimate | SE | Lower | Upper | β | z | p | Method | Type |
ExamScore | ExamScore | 518.2 | 73.3 | 374.6 | 661.8 | 0.644 | 7.07 | <.001 | Estim | Residuals |
Motivation | Motivation | 197.9 | 0.0 | 197.9 | 197.9 | 1.000 | Sample | Variables | ||
Motivation | StudyTime | 90.2 | 0.0 | 90.2 | 90.2 | 0.340 | Sample | Variables | ||
StudyTime | StudyTime | 355.9 | 0.0 | 355.9 | 355.9 | 1.000 | Sample | Variables |
Intercepts | ||||||
---|---|---|---|---|---|---|
95% Confidence Intervals | ||||||
Variable | Intercept | SE | Lower | Upper | z | p |
ExamScore | 79.320 | 5.219 | 69.091 | 89.548 | 15.199 | 0.000 |
Motivation | 23.170 | 0.000 | 23.170 | 23.170 | ||
StudyTime | 32.600 | 0.000 | 32.600 | 32.600 |
[1] The jamovi project (2024). jamovi. (Version 2.6) [Computer Software]. Retrieved from https://www.jamovi.org.
[2] R Core Team (2024). R: A Language and environment for statistical computing. (Version 4.4) [Computer software]. Retrieved from https://cran.r-project.org. (R packages retrieved from CRAN snapshot 2024-08-07).
[3] Gallucci, M. (2021). PATHj: jamovi Path Analysis. [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.