Risultati

Descrittive

Descrittive
	Bi_PA_Contr_Lat	Bi_PA_Contr_Amp	Bi_PA_lat	Bi_PA_amp	Bi_AP_lat	Bi_AP_amp	Bi_LM_lat	Bi_LM_amp	Mo_PA_lat	Mo_PA_amp	Mo_AP_lat	Mo_AP_amp	Mo_LM_lat	Mo_LM_Amp
N	22	22	22	22	18	18	25	25	18	18	16	16	26	26
Mancanti	6	6	6	6	10	10	3	3	10	10	12	12	2	2
Media	16.0	3.38	15.6	3.87	19.6	5.26	15.5	5.98	16.1	2.07	17.1	9.42	16.0	2.88
Mediana	15.5	3.46	15.7	3.46	19.4	5.67	15.2	5.59	16.8	1.40	18.1	9.15	16.1	2.25
Deviazione standard	3.32	2.30	2.59	2.28	2.45	2.05	3.44	2.63	3.02	2.80	4.28	3.89	3.98	3.71
Minimo	11.5	0.100	11.3	0.300	16.0	0.930	7.71	1.69	11.3	-2.00	8.33	2.31	7.92	-3.36
Massimo	22.1	8.10	20.0	7.99	24.2	8.42	23.1	12.0	22.9	6.71	23.1	16.4	22.5	12.6

Bi_PA_Contr vs. Bi_PA (Lat) Correlazione Parziale

Correlazione
		Bi_PA_Contr_Lat		Bi_PA_lat
Bi_PA_Contr_Lat	r di Pearson	—
	valore p	—
	N	—
Bi_PA_lat	r di Pearson	0.760	***	—
	valore p	< .001		—
	N	19		—
Nota. * p < .05, p < .01, * p < .001

[3]

ICC

Instructions

___________________________________________________________________________________

1. The R package irr is described in the page.

2. Feature requests and bug reports can be made on my GitHub.

___________________________________________________________________________________

Interrater reliability
	n	rater	statistic	z	p
Light's Kappa	19	2	0.233	5.07	< .001

[4]

Intraclass Correlation Coefficient(ICC)
Model	Type	Unit	Subjects	Raters	ICC
oneway	agreement	single	19	2	0.718
Nota. The analysis was performed by 'irr::icc' function.

[4]

F test for ICC
					95% CI
ICC	F	df1	df2	p	Lower	Upper
0.718	6.09	18.0	19.0	0.000	0.410	0.880
Nota. H0: ICC = 0; H1: ICC > 0

[4]

[5]

CCC - Concordance Correlation

Instructions

____________________________________________________________________________________

1. The rationale of Concordance correlation is described in the page.

2. Feature requests and bug reports can be made on the GitHub.

____________________________________________________________________________________

Estimated Correlation
	95% CI
Concordance	Lower	Upper
0.705	0.441	0.856

[6]

Concordance Plot

[6]

[5]

Bi_PA_Contr vs. Bi_PA (Amp)

Correlazione Parziale

Correlazione
		Bi_PA_Contr_Amp		Bi_PA_amp
Bi_PA_Contr_Amp	r di Pearson	—
	valore p	—
	N	—
Bi_PA_amp	r di Pearson	0.777	***	—
	valore p	< .001		—
	N	19		—
Nota. * p < .05, p < .01, * p < .001

[3]

ICC

Instructions

___________________________________________________________________________________

1. The R package irr is described in the page.

2. Feature requests and bug reports can be made on my GitHub.

___________________________________________________________________________________

Interrater reliability
	n	rater	statistic	z	p
Light's Kappa	19	2	-0.00557	-0.325	0.745

[4]

Intraclass Correlation Coefficient(ICC)
Model	Type	Unit	Subjects	Raters	ICC
oneway	agreement	single	19	2	0.773
Nota. The analysis was performed by 'irr::icc' function.

[4]

F test for ICC
					95% CI
ICC	F	df1	df2	p	Lower	Upper
0.773	7.80	18.0	19.0	0.000	0.508	0.905
Nota. H0: ICC = 0; H1: ICC > 0

[4]

[5]

CCC

Instructions

____________________________________________________________________________________

1. The rationale of Concordance correlation is described in the page.

2. Feature requests and bug reports can be made on the GitHub.

____________________________________________________________________________________

Estimated Correlation
	95% CI
Concordance	Lower	Upper
0.764	0.490	0.900

[6]

Concordance Plot

[6]

[5]

Bi_PA_Contr vs. Bi_AP (Lat)Correlazione Parziale

Correlazione
		Bi_PA_Contr_Lat	Bi_AP_lat
Bi_PA_Contr_Lat	r di Pearson	—
	valore p	—
	N	—
Bi_AP_lat	r di Pearson	0.505	—
	valore p	0.066	—
	N	14	—
Nota. * p < .05, p < .01, * p < .001

[3]

ICC

Instructions

___________________________________________________________________________________

1. The R package irr is described in the page.

2. Feature requests and bug reports can be made on my GitHub.

___________________________________________________________________________________

Interrater reliability
	n	rater	statistic	z	p
Light's Kappa	14	2	-0.0155	-0.466	0.641

[4]

Intraclass Correlation Coefficient(ICC)
Model	Type	Unit	Subjects	Raters	ICC
oneway	agreement	single	14	2	0.139
Nota. The analysis was performed by 'irr::icc' function.

[4]

F test for ICC
					95% CI
ICC	F	df1	df2	p	Lower	Upper
0.139	1.32	13.0	14.0	0.304	-0.390	0.606
Nota. H0: ICC = 0; H1: ICC > 0

[4]

[5]

CCC

Instructions

____________________________________________________________________________________

1. The rationale of Concordance correlation is described in the page.

2. Feature requests and bug reports can be made on the GitHub.

____________________________________________________________________________________

Estimated Correlation
	95% CI
Concordance	Lower	Upper
0.291	-0.0375	0.562

[6]

[5]

Bi_PA_Contr vs. Bi_AP (Amp)Correlazione Parziale

Correlazione
		Bi_PA_Contr_Amp	Bi_AP_amp
Bi_PA_Contr_Amp	r di Pearson	—
	valore p	—
Bi_AP_amp	r di Pearson	0.283	—
	valore p	0.327	—

[3]

ICC

Instructions

___________________________________________________________________________________

1. The R package irr is described in the page.

2. Feature requests and bug reports can be made on my GitHub.

___________________________________________________________________________________

Interrater reliability
	n	rater	statistic	z	p
Light's Kappa	14	2	0.00	NaN	NaN

[4]

Intraclass Correlation Coefficient(ICC)
Model	Type	Unit	Subjects	Raters	ICC
oneway	agreement	single	14	2	0.123
Nota. The analysis was performed by 'irr::icc' function.

[4]

F test for ICC
					95% CI
ICC	F	df1	df2	p	Lower	Upper
0.123	1.28	13.0	14.0	0.326	-0.404	0.595
Nota. H0: ICC = 0; H1: ICC > 0

[4]

[5]

CCC

Instructions

____________________________________________________________________________________

1. The rationale of Concordance correlation is described in the page.

2. Feature requests and bug reports can be made on the GitHub.

____________________________________________________________________________________

Estimated Correlation
	95% CI
Concordance	Lower	Upper
0.207	-0.205	0.556

[6]

[5]

Bi_PA_Contr vs. Bi_LM (Lat)

Correlazione Parziale

Correlazione
		Bi_PA_Contr_Lat	Bi_LM_lat
Bi_PA_Contr_Lat	r di Pearson	—
	valore p	—
	N	—
Bi_LM_lat	r di Pearson	0.406	—
	valore p	0.076	—
	N	20	—
Nota. * p < .05, p < .01, * p < .001

[3]

ICC

Instructions

___________________________________________________________________________________

1. The R package irr is described in the page.

2. Feature requests and bug reports can be made on my GitHub.

___________________________________________________________________________________

Interrater reliability
	n	rater	statistic	z	p
Light's Kappa	20	2	0.0769	2.15	0.032

[4]

Intraclass Correlation Coefficient(ICC)
Model	Type	Unit	Subjects	Raters	ICC
oneway	agreement	single	20	2	0.424
Nota. The analysis was performed by 'irr::icc' function.

[4]

F test for ICC
					95% CI
ICC	F	df1	df2	p	Lower	Upper
0.424	2.47	19.0	20.0	0.025	-0.00160	0.723
Nota. H0: ICC = 0; H1: ICC > 0

[4]

[5]

CCC

Instructions

____________________________________________________________________________________

1. The rationale of Concordance correlation is described in the page.

2. Feature requests and bug reports can be made on the GitHub.

____________________________________________________________________________________

Estimated Correlation
	95% CI
Concordance	Lower	Upper
0.403	-0.0306	0.709

[6]

Concordance Plot

[6]

[5]

Bi_PA_Contr vs. Bi_LM (Amp)Correlazione Parziale

Correlazione
		Bi_PA_Contr_Amp	Bi_LM_amp
Bi_PA_Contr_Amp	r di Pearson	—
	valore p	—
	N	—
Bi_LM_amp	r di Pearson	0.326	—
	valore p	0.160	—
	N	20	—
Nota. * p < .05, p < .01, * p < .001

[3]

ICC

Instructions

___________________________________________________________________________________

1. The R package irr is described in the page.

2. Feature requests and bug reports can be made on my GitHub.

___________________________________________________________________________________

Interrater reliability
	n	rater	statistic	z	p
Light's Kappa	20	2	0.00	NaN	NaN

[4]

Intraclass Correlation Coefficient(ICC)
Model	Type	Unit	Subjects	Raters	ICC
oneway	agreement	single	20	2	0.0587
Nota. The analysis was performed by 'irr::icc' function.

[4]

F test for ICC
					95% CI
ICC	F	df1	df2	p	Lower	Upper
0.0587	1.12	19.0	20.0	0.397	-0.376	0.477
Nota. H0: ICC = 0; H1: ICC > 0

[4]

CCC

Instructions

____________________________________________________________________________________

1. The rationale of Concordance correlation is described in the page.

2. Feature requests and bug reports can be made on the GitHub.

____________________________________________________________________________________

Estimated Correlation
	95% CI
Concordance	Lower	Upper
0.206	-0.0877	0.467

[6]

[5]

Bi_PA_Contr vs. Mo_PA (Lat)Correlazione Parziale

Correlazione
		Bi_PA_Contr_Lat		Mo_PA_lat
Bi_PA_Contr_Lat	r di Pearson	—
	valore p	—
	N	—
Mo_PA_lat	r di Pearson	0.522	*	—
	valore p	0.038		—
	N	16		—
Nota. * p < .05, p < .01, * p < .001

[3]

ICC

Instructions

___________________________________________________________________________________

1. The R package irr is described in the page.

2. Feature requests and bug reports can be made on my GitHub.

___________________________________________________________________________________

Interrater reliability
	n	rater	statistic	z	p
Light's Kappa	16	2	-0.0199	-0.565	0.572

[4]

Intraclass Correlation Coefficient(ICC)
Model	Type	Unit	Subjects	Raters	ICC
oneway	agreement	single	16	2	0.534
Nota. The analysis was performed by 'irr::icc' function.

[4]

F test for ICC
					95% CI
ICC	F	df1	df2	p	Lower	Upper
0.534	3.29	15.0	16.0	0.012	0.0827	0.806
Nota. H0: ICC = 0; H1: ICC > 0

[4]

[5]

Concordance Correlation

Instructions

____________________________________________________________________________________

1. The rationale of Concordance correlation is described in the page.

2. Feature requests and bug reports can be made on the GitHub.

____________________________________________________________________________________

Estimated Correlation
	95% CI
Concordance	Lower	Upper
0.512	0.0540	0.792

[6]

Concordance Plot

[6]

[5]

Bi_PA_Contr vs. Mo_PA (Amp)

Correlazione Parziale

Correlazione
		Bi_PA_Contr_Amp	Mo_PA_amp
Bi_PA_Contr_Amp	r di Pearson	—
	valore p	—
	N	—
Mo_PA_amp	r di Pearson	0.187	—
	valore p	0.488	—
	N	16	—
Nota. * p < .05, p < .01, * p < .001

[3]

ICC

Instructions

___________________________________________________________________________________

1. The R package irr is described in the page.

2. Feature requests and bug reports can be made on my GitHub.

___________________________________________________________________________________

Interrater reliability
	n	rater	statistic	z	p
Light's Kappa	16	2	0.00	NaN	NaN

[4]

Intraclass Correlation Coefficient(ICC)
Model	Type	Unit	Subjects	Raters	ICC
oneway	agreement	single	16	2	0.191
Nota. The analysis was performed by 'irr::icc' function.

[4]

F test for ICC
					95% CI
ICC	F	df1	df2	p	Lower	Upper
0.191	1.47	15.0	16.0	0.226	-0.309	0.613
Nota. H0: ICC = 0; H1: ICC > 0

[4]

[5]

CCC

Instructions

____________________________________________________________________________________

1. The rationale of Concordance correlation is described in the page.

2. Feature requests and bug reports can be made on the GitHub.

____________________________________________________________________________________

Estimated Correlation
	95% CI
Concordance	Lower	Upper
0.176	-0.306	0.586

[6]

[5]

Bi_PA_Contr vs. Mo_AP (Lat)Correlazione Parziale

Correlazione
		Bi_PA_Contr_Lat	Mo_AP_lat
Bi_PA_Contr_Lat	r di Pearson	—
	valore p	—
	N	—
Mo_AP_lat	r di Pearson	0.200	—
	valore p	0.513	—
	N	13	—
Nota. * p < .05, p < .01, * p < .001

[3]

ICC

Instructions

___________________________________________________________________________________

1. The R package irr is described in the page.

2. Feature requests and bug reports can be made on my GitHub.

___________________________________________________________________________________

Interrater reliability
	n	rater	statistic	z	p
Light's Kappa	13	2	0.0602	1.62	0.106

[4]

Intraclass Correlation Coefficient(ICC)
Model	Type	Unit	Subjects	Raters	ICC
oneway	agreement	single	13	2	0.200
Nota. The analysis was performed by 'irr::icc' function.

[4]

F test for ICC
					95% CI
ICC	F	df1	df2	p	Lower	Upper
0.200	1.50	12.0	13.0	0.239	-0.356	0.658
Nota. H0: ICC = 0; H1: ICC > 0

[4]

[5]

CCC

Instructions

____________________________________________________________________________________

1. The rationale of Concordance correlation is described in the page.

2. Feature requests and bug reports can be made on the GitHub.

____________________________________________________________________________________

Estimated Correlation
	95% CI
Concordance	Lower	Upper
0.174	-0.326	0.599

[6]

[5]

Bi_PA_Contr vs. Mo_AP (Amp)Correlazione Parziale

Correlazione
		Bi_PA_Contr_Amp	Mo_AP_amp
Bi_PA_Contr_Amp	r di Pearson	—
	valore p	—
	N	—
Mo_AP_amp	r di Pearson	-0.040	—
	valore p	0.896	—
	N	13	—
Nota. * p < .05, p < .01, * p < .001

[3]

ICC

Instructions

___________________________________________________________________________________

1. The R package irr is described in the page.

2. Feature requests and bug reports can be made on my GitHub.

___________________________________________________________________________________

Interrater reliability
	n	rater	statistic	z	p
Light's Kappa	13	2	0.00	NaN	NaN

[4]

Intraclass Correlation Coefficient(ICC)
Model	Type	Unit	Subjects	Raters	ICC
oneway	agreement	single	13	2	-0.416
Nota. The analysis was performed by 'irr::icc' function.

[4]

F test for ICC
					95% CI
ICC	F	df1	df2	p	Lower	Upper
-0.416	0.412	12.0	13.0	0.932	-0.769	0.144
Nota. H0: ICC = 0; H1: ICC > 0

[4]

[5]

CCC

Instructions

____________________________________________________________________________________

1. The rationale of Concordance correlation is described in the page.

2. Feature requests and bug reports can be made on the GitHub.

____________________________________________________________________________________

Estimated Correlation
	95% CI
Concordance	Lower	Upper
-0.0144	-0.221	0.194

[6]

[5]

Bi_PA_Contr vs. Mo_LM (Lat)Correlazione Parziale

Correlazione
		Bi_PA_Contr_Lat	Mo_LM_lat
Bi_PA_Contr_Lat	r di Pearson	—
	valore p	—
	N	—
Mo_LM_lat	r di Pearson	0.252	—
	valore p	0.270	—
	N	21	—
Nota. * p < .05, p < .01, * p < .001

[3]

ICC

Instructions

___________________________________________________________________________________

1. The R package irr is described in the page.

2. Feature requests and bug reports can be made on my GitHub.

___________________________________________________________________________________

Interrater reliability
	n	rater	statistic	z	p
Light's Kappa	21	2	0.0764	2.43	0.015

[4]

Intraclass Correlation Coefficient(ICC)
Model	Type	Unit	Subjects	Raters	ICC
oneway	agreement	single	21	2	0.259
Nota. The analysis was performed by 'irr::icc' function.

[4]

F test for ICC
					95% CI
ICC	F	df1	df2	p	Lower	Upper
0.259	1.70	20.0	21.0	0.118	-0.176	0.613
Nota. H0: ICC = 0; H1: ICC > 0

[4]

[5]

CCC

Instructions

____________________________________________________________________________________

1. The rationale of Concordance correlation is described in the page.

2. Feature requests and bug reports can be made on the GitHub.

____________________________________________________________________________________

Estimated Correlation
	95% CI
Concordance	Lower	Upper
0.245	-0.185	0.597

[6]

[5]

Bi_PA_Contr vs. Mo_LM (Amp)Correlazione Parziale

Correlazione
		Bi_PA_Contr_Amp	Mo_LM_Amp
Bi_PA_Contr_Amp	r di Pearson	—
	valore p	—
	N	—
Mo_LM_Amp	r di Pearson	0.367	—
	valore p	0.101	—
	N	21	—
Nota. * p < .05, p < .01, * p < .001

[3]

ICC

Instructions

___________________________________________________________________________________

1. The R package irr is described in the page.

2. Feature requests and bug reports can be made on my GitHub.

___________________________________________________________________________________

Interrater reliability
	n	rater	statistic	z	p
Light's Kappa	21	2	-0.00227	-0.218	0.827

[4]

Intraclass Correlation Coefficient(ICC)
Model	Type	Unit	Subjects	Raters	ICC
oneway	agreement	single	21	2	0.345
Nota. The analysis was performed by 'irr::icc' function.

[4]

F test for ICC
					95% CI
ICC	F	df1	df2	p	Lower	Upper
0.345	2.05	20.0	21.0	0.055	-0.0826	0.668
Nota. H0: ICC = 0; H1: ICC > 0

[4]

[5]

CCC

Instructions

____________________________________________________________________________________

1. The rationale of Concordance correlation is described in the page.

2. Feature requests and bug reports can be made on the GitHub.

____________________________________________________________________________________

Estimated Correlation
	95% CI
Concordance	Lower	Upper
0.324	-0.0541	0.621

[6]

[5]

Riferimenti

[1] The jamovi project (2022). jamovi. (Version 2.3) [Computer Software]. Retrieved from https://www.jamovi.org.

[2] R Core Team (2021). R: A Language and environment for statistical computing. (Version 4.1) [Computer software]. Retrieved from https://cran.r-project.org. (R packages retrieved from MRAN snapshot 2022-01-01).

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

[4] Gamer, M., Jim Lemon, J., & Singh, I. (2019). irr: Various Coefficients of Interrater Reliability and Agreement. [R package]. Retrieved from https://CRAN.R-project.org/package=irr.

[5] Seol, H. (2023). seolmatrix: Correlations suite for jamovi. (Version 3.7.1)[jamovi module]. URL https://github.com/hyunsooseol/seolmatrix.

[6] Stevenson, M., et al. (2021). epiR: Tools for the Analysis of Epidemiological Data. [R package]. Retrieved from https://CRAN.R-project.org/package=epiR.