Results - ICC e CCC P15

ICC - Bi PA Contr versus Bi PA (Amplitude)

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	28	2	0.00	NaN	NaN

[3]

Intraclass Correlation Coefficient(ICC)
Model	Type	Unit	Subjects	Raters	ICC
twoway	agreement	single	28	2	0.768
Note. The analysis was performed by 'irr::icc' function.

[3]

F test for ICC
					95% CI
ICC	F	df1	df2	p	Lower	Upper
0.768	7.75	27.0	27.9	0.000	0.562	0.885
Note. H0: ICC = 0; H1: ICC > 0

[3]

[4]

ICC - Bi PA Contr versus Bi AP (Amplitude)

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	28	2	0.00	NaN	NaN

[3]

Intraclass Correlation Coefficient(ICC)
Model	Type	Unit	Subjects	Raters	ICC
twoway	agreement	single	28	2	0.179
Note. The analysis was performed by 'irr::icc' function.

[3]

F test for ICC
					95% CI
ICC	F	df1	df2	p	Lower	Upper
0.179	1.60	27.0	24.2	0.125	-0.117	0.478
Note. H0: ICC = 0; H1: ICC > 0

[3]

[4]

ICC - Bi PA Contr versus Bi LM (Amplitude)

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	28	2	0.00	NaN	NaN

[3]

Intraclass Correlation Coefficient(ICC)
Model	Type	Unit	Subjects	Raters	ICC
twoway	agreement	single	28	2	0.208
Note. The analysis was performed by 'irr::icc' function.

[3]

F test for ICC
					95% CI
ICC	F	df1	df2	p	Lower	Upper
0.208	1.78	27.0	20.1	0.094	-0.0926	0.504
Note. H0: ICC = 0; H1: ICC > 0

[3]

[4]

ICC - Bi PA Contr versus Mo PA (Amplitude)

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	28	2	0.00	NaN	NaN

[3]

Intraclass Correlation Coefficient(ICC)
Model	Type	Unit	Subjects	Raters	ICC
twoway	agreement	single	28	2	0.219
Note. The analysis was performed by 'irr::icc' function.

[3]

F test for ICC
					95% CI
ICC	F	df1	df2	p	Lower	Upper
0.219	1.73	27.0	24.1	0.088	-0.0938	0.518
Note. H0: ICC = 0; H1: ICC > 0

[3]

[4]

ICC - Bi PA Contr versus Mo AP (Amplitude)

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	28	2	0.00	NaN	NaN

[3]

Intraclass Correlation Coefficient(ICC)
Model	Type	Unit	Subjects	Raters	ICC
twoway	agreement	single	28	2	0.0139
Note. The analysis was performed by 'irr::icc' function.

[3]

F test for ICC
					95% CI
ICC	F	df1	df2	p	Lower	Upper
0.0139	1.08	27.0	27.9	0.422	-0.0986	0.193
Note. H0: ICC = 0; H1: ICC > 0

[3]

[4]

ICC - Bi PA Contr versus Mo LM (Amplitude)

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	28	2	0.00	NaN	NaN

[3]

Intraclass Correlation Coefficient(ICC)
Model	Type	Unit	Subjects	Raters	ICC
twoway	agreement	single	28	2	0.306
Note. The analysis was performed by 'irr::icc' function.

[3]

F test for ICC
					95% CI
ICC	F	df1	df2	p	Lower	Upper
0.306	1.87	27.0	27.4	0.055	-0.0725	0.606
Note. H0: ICC = 0; H1: ICC > 0

[3]

[4]

CCC - Bi PA Contr versus Bi PA (Amplitude)

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
0.761	0.551	0.881

[5]

Concordance Plot

[5]

Bland-Altman Plot

[5]

[4]

CCC - Bi PA Contr versus Bi AP (Amplitude)

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	-0.116	0.436

[5]

Concordance Plot

[5]

Bland-Altman Plot

[5]

[4]

CCC - Bi PA Contr versus Bi LM (Amplitude)

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
0.202	-0.0634	0.441

[5]

Concordance Plot

[5]

Bland-Altman Plot

[5]

[4]

CCC - Bi PA Contr versus Mo PA (Amplitude)

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
0.213	-0.0779	0.471

[5]

Concordance Plot

[5]

Bland-Altman Plot

[5]

[4]

CCC - Bi PA Contr versus Mo AP (Amplitude)

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
0.0134	-0.107	0.133

[5]

Concordance Plot

[5]

Bland-Altman Plot

[5]

[4]

CCC - Bi PA Contr versus Mo LM (Amplitude)

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
0.298	-0.0240	0.564

[5]

Concordance Plot

[5]

Bland-Altman Plot

[5]

[4]

Rater Reliability

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	28	2	0.239	4.95	7.24e-7

[3]

Intraclass Correlation Coefficient(ICC)
Model	Type	Unit	Subjects	Raters	ICC
twoway	agreement	single	28	2	0.287
Note. The analysis was performed by 'irr::icc' function.

[3]

F test for ICC
					95% CI
ICC	F	df1	df2	p	Lower	Upper
0.287	1.80	27.0	27.6	0.065	-0.0890	0.592
Note. H0: ICC = 0; H1: ICC > 0

[3]

[4]

ICC - Bi PA Contr versus Bi AP (Latency)

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	28	2	-0.0111	-0.197	0.844

[3]

Intraclass Correlation Coefficient(ICC)
Model	Type	Unit	Subjects	Raters	ICC
twoway	agreement	single	28	2	0.142
Note. The analysis was performed by 'irr::icc' function.

[3]

F test for ICC
					95% CI
ICC	F	df1	df2	p	Lower	Upper
0.142	1.47	27.0	24.6	0.168	-0.133	0.437
Note. H0: ICC = 0; H1: ICC > 0

[3]

[4]

ICC - Bi PA Contr versus Bi LM (Latency)

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	28	2	0.0885	3.25	0.00117

[3]

Intraclass Correlation Coefficient(ICC)
Model	Type	Unit	Subjects	Raters	ICC
twoway	agreement	single	28	2	0.163
Note. The analysis was performed by 'irr::icc' function.

[3]

F test for ICC
					95% CI
ICC	F	df1	df2	p	Lower	Upper
0.163	1.46	27.0	27.6	0.165	-0.158	0.476
Note. H0: ICC = 0; H1: ICC > 0

[3]

[4]

ICC - Bi PA Contr versus Mo PA (Latency)

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	28	2	0.0591	1.35	0.177

[3]

Intraclass Correlation Coefficient(ICC)
Model	Type	Unit	Subjects	Raters	ICC
twoway	agreement	single	28	2	0.341
Note. The analysis was performed by 'irr::icc' function.

[3]

F test for ICC
					95% CI
ICC	F	df1	df2	p	Lower	Upper
0.341	2.10	27.0	27.9	0.028	-0.0104	0.624
Note. H0: ICC = 0; H1: ICC > 0

[3]

[4]

ICC - Bi PA Contr versus Mo AP (Latency)

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	28	2	0.0495	0.794	0.427

[3]

Intraclass Correlation Coefficient(ICC)
Model	Type	Unit	Subjects	Raters	ICC
twoway	agreement	single	28	2	0.0886
Note. The analysis was performed by 'irr::icc' function.

[3]

F test for ICC
					95% CI
ICC	F	df1	df2	p	Lower	Upper
0.0886	1.22	27.0	27.9	0.305	-0.241	0.421
Note. H0: ICC = 0; H1: ICC > 0

[3]

[4]

ICC - Bi PA Contr versus Mo LM (Latency)

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	28	2	0.0814	2.53	0.0113

[3]

Intraclass Correlation Coefficient(ICC)
Model	Type	Unit	Subjects	Raters	ICC
twoway	agreement	single	28	2	-0.0618
Note. The analysis was performed by 'irr::icc' function.

[3]

F test for ICC
					95% CI
ICC	F	df1	df2	p	Lower	Upper
-0.0618	0.884	27.0	26.7	0.625	-0.421	0.313
Note. H0: ICC = 0; H1: ICC > 0

[3]

[4]

CCC - Bi PA Contr versus Bi PA (Latency)

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
0.280	-0.0891	0.581

[5]

Concordance Plot

[5]

Bland-Altman Plot

[5]

[4]

CCC - Bi PA Contr versus Bi AP (Latency)

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
0.137	-0.121	0.378

[5]

Concordance Plot

[5]

Bland-Altman Plot

[5]

[4]

CCC - Bi PA Contr versus Bi LM (Latency)

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
0.158	-0.165	0.450

[5]

Concordance Plot

[5]

Bland-Altman Plot

[5]

[4]

CCC - Bi PA Contr versus Mo PA (Latency)

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
0.333	-0.00695	0.604

[5]

Concordance Plot

[5]

Bland-Altman Plot

[5]

[4]

CCC - Bi PA Contr versus Mo AP (Latency)

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
0.0857	-0.246	0.399

[5]

Concordance Plot

[5]

Bland-Altman Plot

[5]

[4]

CCC - Bi PA Contr versus Mo LM (Latency)

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
-0.0595	-0.405	0.301

[5]

Concordance Plot

[5]

Bland-Altman Plot

[5]

[4]

References

[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] 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.

[4] Seol, H. (2022). seolmatrix: Correlations suite for jamovi. [jamovi module]. Retrieved from https://github.com/hyunsooseol/seolmatrix.

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