Results

Linear Regression

Model Fit Measures
				Overall Model Test
Model	R	R²	Adjusted R²	F	df1	df2	p
1	0.30037	0.09022	0.07856	7.73505	1	78	0.00679
2	0.43046	0.18529	0.16413	8.75626	2	77	0.00037

Model Comparisons
Comparison
Model		Model	ΔR²	F	df1	df2	p
1	-	2	0.09507	8.98556	1	77	0.00366

Model Specific ResultsModel 1Model 2

Model Coefficients - Intensity of Tantrum
						95% Confidence Interval
Predictor	Estimate	SE	t	p	Stand. Estimate	Lower	Upper
Intercept	3.18196	0.42142	7.55056	< .00001
Absurdity of Tantrum Trigger	0.25614	0.09210	2.78120	0.00679	0.30037	0.08536	0.51538

Model Coefficients - Intensity of Tantrum
						95% Confidence Interval
Predictor	Estimate	SE	t	p	Stand. Estimate	Lower	Upper
Intercept	1.85877	0.59661	3.11554	0.00258
Absurdity of Tantrum Trigger	0.15891	0.09352	1.69919	0.09332	0.18635	-0.03203	0.40473
Obvious Laughter Suppression	0.21526	0.07181	2.99759	0.00366	0.32874	0.11036	0.54712

Linear Regression

Model Fit Measures
Model	R	R²
1	0.34683	0.12029

Model Coefficients - Obvious Laughter Suppression
Predictor	Estimate	SE	t	p
Intercept	6.14685	0.63286	9.71281	< .00001
Absurdity of Tantrum Trigger	0.45169	0.13831	3.26582	0.00162

Partial Correlation

Semipartial Correlation - Pearson's r
	Intensity of Tantrum	Obvious Laughter Suppression
Intensity of Tantrum	—	0.30834
Obvious Laughter Suppression	0.30320	—
Note. controlling for 'Absurdity of Tantrum Trigger'
Note. variation from the control variables is only removed from the variables in the columns

[3]

Partial Correlation

Semipartial Correlation - Pearson's r
	Intensity of Tantrum	Absurdity of Tantrum Trigger
Intensity of Tantrum	—	0.17478
Absurdity of Tantrum Trigger	0.17831	—
Note. controlling for 'Obvious Laughter Suppression'
Note. variation from the control variables is only removed from the variables in the columns

[3]

GLM Mediation Analysis

Models Info

Mediators Models
	m1	Obvious Laughter Suppression ~ Absurdity of Tantrum Trigger
Full Model
	m2	Intensity of Tantrum ~ Obvious Laughter Suppression + Absurdity of Tantrum Trigger
Indirect Effects
	IE 1	Absurdity of Tantrum Trigger ⇒ Obvious Laughter Suppression ⇒ Intensity of Tantrum

[4]

Path Model

Model Diagram

Mediation

Indirect and Total Effects
				95% C.I. (a)
Type	Effect	Estimate	SE	Lower	Upper	β	z	p
Indirect	Absurdity of Tantrum Trigger ⇒ Obvious Laughter Suppression ⇒ Intensity of Tantrum	0.09723	0.04883	0.01826	0.20736	0.11402	1.99110	0.04647
Component	Absurdity of Tantrum Trigger ⇒ Obvious Laughter Suppression	0.45169	0.13163	0.19495	0.70619	0.34683	3.43140	0.00060
	Obvious Laughter Suppression ⇒ Intensity of Tantrum	0.21526	0.07975	0.04865	0.37205	0.32874	2.69933	0.00695
Direct	Absurdity of Tantrum Trigger ⇒ Intensity of Tantrum	0.15891	0.10553	-0.04307	0.37144	0.18635	1.50585	0.13211
Total	Absurdity of Tantrum Trigger ⇒ Intensity of Tantrum	0.25614	0.09151	0.07678	0.43551	0.30037	2.79897	0.00513
Note. Confidence intervals computed with method: Bootstrap percentiles
Note. Betas are completely standardized effect sizes

[5]

Linear Regression

Model Fit Measures
				Overall Model Test
Model	R	R²	Adjusted R²	F	df1	df2	p
1	0.30037	0.09022	0.07856	7.73505	1	78	0.00679
2	0.43046	0.18529	0.16413	8.75626	2	77	0.00037

Model Comparisons
Comparison
Model		Model	ΔR²	F	df1	df2	p
1	-	2	0.09507	8.98556	1	77	0.00366

Model Specific ResultsModel 1Model 2

Model Coefficients - Intensity of Tantrum
Predictor	Estimate	SE	t	p
Intercept	3.18196	0.42142	7.55056	< .00001
Absurdity of Tantrum Trigger	0.25614	0.09210	2.78120	0.00679

Model Coefficients - Intensity of Tantrum
Predictor	Estimate	SE	t	p
Intercept	1.85877	0.59661	3.11554	0.00258
Absurdity of Tantrum Trigger	0.15891	0.09352	1.69919	0.09332
Obvious Laughter Suppression	0.21526	0.07181	2.99759	0.00366

References

[1] The jamovi project (2020). jamovi. (Version 1.6) [Computer Software]. Retrieved from https://www.jamovi.org.

[2] R Core Team (2020). R: A Language and environment for statistical computing. (Version 4.0) [Computer software]. Retrieved from https://cran.r-project.org. (R packages retrieved from MRAN snapshot 2020-08-24).

[3] Kim, S. (2015). ppcor: Partial and Semi-Partial (Part) Correlation. [R package]. Retrieved from https://cran.r-project.org/package=ppcor.

[4] Gallucci, M. (2019). jAMM: jamovi Advanced Mediation Models. [jamovi module]. Retrieved from https://jamovi-amm.github.io/.

[5] Yves Rosseel (0). lavaan: An R Package for Structural Equation Modeling. Journal of Statistical Software, 48(2), 1-36. link.