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R Software Module

Patrick.Wessarwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Fri, 10 Dec 2010 13:07:54 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/10/t1291986393u6bh89hrxjm7yx2.htm/, Retrieved Mon, 29 Apr 2024 10:14:02 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=107647, Retrieved Mon, 29 Apr 2024 10:14:02 +0000

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Estimated Impact

112

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-     [Kendall tau Correlation Matrix] [] [2010-12-05 17:44:33] [b98453cac15ba1066b407e146608df68]
- R PD    [Kendall tau Correlation Matrix] [] [2010-12-10 13:07:54] [558c060a42ec367ec2c020fab85c25c7] [Current]

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Dataseries X:

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26	21	21	23	17	23	4	1
20	16	15	24	17	20	4	1
19	19	18	22	18	20	6	1
19	18	11	20	21	21	8	2
20	16	8	24	20	24	8	1
25	23	19	27	28	22	4	1
25	17	4	28	19	23	4	2
22	12	20	27	22	20	8	1
26	19	16	24	16	25	5	1
22	16	14	23	18	23	4	1
17	19	10	24	25	27	4	2
22	20	13	27	17	27	4	2
19	13	14	27	14	22	4	1
24	20	8	28	11	24	4	1
26	27	23	27	27	25	4	1
21	17	11	23	20	22	8	2
13	8	9	24	22	28	4	1
26	25	24	28	18	28	4	2
20	26	5	27	21	27	4	2
22	13	15	25	23	25	8	1
14	19	5	19	17	16	4	2
21	11	15	20	20	28	3	1
7	5	6	20	14	21	4	1
23	16	13	28	17	24	4	2
17	14	11	26	23	27	5	1
25	24	17	23	24	14	4	1
25	24	17	23	24	14	4	1
19	9	5	20	8	27	4	1
20	19	9	11	22	20	4	2
23	19	15	24	23	21	4	1
22	25	17	25	25	22	4	2
22	19	17	23	21	21	4	1
21	18	20	18	24	12	15	1
15	15	12	20	15	20	10	2
20	12	7	20	22	24	4	2
22	21	16	24	21	19	8	2
18	12	7	23	25	28	4	1
20	15	14	25	16	23	4	2
28	28	24	28	28	27	4	2
22	25	15	26	23	22	4	1
14	19	11	26	21	27	7	1
23	20	10	23	21	26	4	1
20	24	14	22	26	22	6	1
25	26	18	24	22	21	5	2
26	25	12	21	21	19	4	2
15	12	9	20	18	24	16	1
17	12	9	22	12	19	5	2
23	15	8	20	25	26	12	2
21	17	18	25	17	22	6	1
13	14	10	20	24	28	9	2
18	16	17	22	15	21	9	1
19	11	14	23	13	23	4	1
22	20	16	25	26	28	5	1
16	11	10	23	16	10	4	1
24	22	19	23	20	24	4	2
18	20	10	22	21	21	5	1
20	19	14	24	20	21	4	1
24	17	10	25	14	24	4	1
14	21	4	21	25	24	4	2
22	23	19	12	25	25	5	2
24	18	5	17	20	25	4	1
18	17	12	20	22	23	6	1
21	27	16	23	20	21	4	1
23	25	11	23	26	16	4	2
17	19	18	20	18	17	18	1
22	22	11	28	22	25	4	2
24	24	24	24	24	24	6	2
21	20	17	24	17	23	4	2
22	19	18	24	24	25	4	1
16	11	9	24	20	23	5	1
21	22	19	28	19	28	4	1
23	22	18	25	20	26	4	2
22	16	12	21	15	22	5	2
24	20	23	25	23	19	10	1
24	24	22	25	26	26	5	1
16	16	14	18	22	18	8	1
16	16	14	17	20	18	8	1
21	22	16	26	24	25	5	2
26	24	23	28	26	27	4	2
15	16	7	21	21	12	4	2
25	27	10	27	25	15	4	2
18	11	12	22	13	21	5	1
23	21	12	21	20	23	4	1
20	20	12	25	22	22	4	1
17	20	17	22	23	21	8	2
25	27	21	23	28	24	4	2
24	20	16	26	22	27	5	1
17	12	11	19	20	22	14	1
19	8	14	25	6	28	8	1
20	21	13	21	21	26	8	1
15	18	9	13	20	10	4	1
27	24	19	24	18	19	4	2
22	16	13	25	23	22	6	1
23	18	19	26	20	21	4	1
16	20	13	25	24	24	7	1
19	20	13	25	22	25	3	1
25	19	13	22	21	21	4	2
19	17	14	21	18	20	6	1
19	16	12	23	21	21	4	2
26	26	22	25	23	24	7	2
21	15	11	24	23	23	4	1
20	22	5	21	15	18	4	2
24	17	18	21	21	24	8	1
22	23	19	25	24	24	4	1
20	21	14	22	23	19	4	2
18	19	15	20	21	20	10	1
18	14	12	20	21	18	8	2
24	17	19	23	20	20	6	1
24	12	15	28	11	27	4	1
22	24	17	23	22	23	4	1
23	18	8	28	27	26	4	1
22	20	10	24	25	23	5	1
20	16	12	18	18	17	4	1
18	20	12	20	20	21	6	1
25	22	20	28	24	25	4	1
18	12	12	21	10	23	5	2
16	16	12	21	27	27	7	1
20	17	14	25	21	24	8	1
19	22	6	19	21	20	5	2
15	12	10	18	18	27	8	1
15	10	14	17	11	17	6	1
19	23	18	22	24	24	8	1
16	15	7	24	22	21	5	1
17	17	18	15	14	15	12	1
28	28	9	28	28	25	4	1
23	20	17	26	18	25	5	2
25	23	22	23	26	22	4	1
20	13	11	26	17	24	6	1
17	18	15	20	19	21	4	2
23	23	17	22	22	22	4	2
16	19	15	20	18	23	7	1
23	23	22	23	24	22	7	2
11	12	9	22	15	20	10	2
18	16	13	24	18	23	4	2
24	23	20	23	26	25	5	2
23	13	14	22	11	23	8	1
21	22	14	26	26	22	11	1
16	18	12	23	21	25	7	2
24	23	20	27	23	26	4	2
23	20	20	23	23	22	8	1
18	10	8	21	15	24	6	1
20	17	17	26	22	24	7	1
9	18	9	23	26	25	5	1
24	15	18	21	16	20	4	2
25	23	22	27	20	26	8	1
20	17	10	19	18	21	4	1
21	17	13	23	22	26	8	2
25	22	15	25	16	21	6	2
22	20	18	23	19	22	4	2
21	20	18	22	20	16	9	2
21	19	12	22	19	26	5	1
22	18	12	25	23	28	6	1
27	22	20	25	24	18	4	1
24	20	12	28	25	25	4	2
24	22	16	28	21	23	4	2
21	18	16	20	21	21	5	2
18	16	18	25	23	20	6	1
16	16	16	19	27	25	16	1
22	16	13	25	23	22	6	1
20	16	17	22	18	21	6	1
18	17	13	18	16	16	4	2
20	18	17	20	16	18	4	1
18	15	14	19	13	21	4	1
20	11	9	24	22	24	15	1

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	5 seconds
R Server	'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 5 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107647&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107647&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107647&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	5 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Correlations for all pairs of data series (method=kendall)
	I/ToKnow	I/Accomp.	I/Exp.Stimulation	E/Identified	E/Introjected	E/Ext.Regulation	Amotivation	gender
I/ToKnow	1	0.441	0.389	0.377	0.196	0.12	-0.244	0.117
I/Accomp.	0.441	1	0.341	0.234	0.374	0.025	-0.203	0.219
I/Exp.Stimulation	0.389	0.341	1	0.182	0.142	-0.025	0.045	-0.016
E/Identified	0.377	0.234	0.182	1	0.183	0.32	-0.197	-0.007
E/Introjected	0.196	0.374	0.142	0.183	1	0.169	0.006	0.023
E/Ext.Regulation	0.12	0.025	-0.025	0.32	0.169	1	-0.041	-0.05
Amotivation	-0.244	-0.203	0.045	-0.197	0.006	-0.041	1	-0.134
gender	0.117	0.219	-0.016	-0.007	0.023	-0.05	-0.134	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & I/ToKnow & I/Accomp. & I/Exp.Stimulation & E/Identified & E/Introjected & E/Ext.Regulation & Amotivation & gender \tabularnewline
I/ToKnow & 1 & 0.441 & 0.389 & 0.377 & 0.196 & 0.12 & -0.244 & 0.117 \tabularnewline
I/Accomp. & 0.441 & 1 & 0.341 & 0.234 & 0.374 & 0.025 & -0.203 & 0.219 \tabularnewline
I/Exp.Stimulation & 0.389 & 0.341 & 1 & 0.182 & 0.142 & -0.025 & 0.045 & -0.016 \tabularnewline
E/Identified & 0.377 & 0.234 & 0.182 & 1 & 0.183 & 0.32 & -0.197 & -0.007 \tabularnewline
E/Introjected & 0.196 & 0.374 & 0.142 & 0.183 & 1 & 0.169 & 0.006 & 0.023 \tabularnewline
E/Ext.Regulation & 0.12 & 0.025 & -0.025 & 0.32 & 0.169 & 1 & -0.041 & -0.05 \tabularnewline
Amotivation & -0.244 & -0.203 & 0.045 & -0.197 & 0.006 & -0.041 & 1 & -0.134 \tabularnewline
gender & 0.117 & 0.219 & -0.016 & -0.007 & 0.023 & -0.05 & -0.134 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107647&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]I/ToKnow[/C][C]I/Accomp.[/C][C]I/Exp.Stimulation[/C][C]E/Identified[/C][C]E/Introjected[/C][C]E/Ext.Regulation[/C][C]Amotivation[/C][C]gender[/C][/ROW]
[ROW][C]I/ToKnow[/C][C]1[/C][C]0.441[/C][C]0.389[/C][C]0.377[/C][C]0.196[/C][C]0.12[/C][C]-0.244[/C][C]0.117[/C][/ROW]
[ROW][C]I/Accomp.[/C][C]0.441[/C][C]1[/C][C]0.341[/C][C]0.234[/C][C]0.374[/C][C]0.025[/C][C]-0.203[/C][C]0.219[/C][/ROW]
[ROW][C]I/Exp.Stimulation[/C][C]0.389[/C][C]0.341[/C][C]1[/C][C]0.182[/C][C]0.142[/C][C]-0.025[/C][C]0.045[/C][C]-0.016[/C][/ROW]
[ROW][C]E/Identified[/C][C]0.377[/C][C]0.234[/C][C]0.182[/C][C]1[/C][C]0.183[/C][C]0.32[/C][C]-0.197[/C][C]-0.007[/C][/ROW]
[ROW][C]E/Introjected[/C][C]0.196[/C][C]0.374[/C][C]0.142[/C][C]0.183[/C][C]1[/C][C]0.169[/C][C]0.006[/C][C]0.023[/C][/ROW]
[ROW][C]E/Ext.Regulation[/C][C]0.12[/C][C]0.025[/C][C]-0.025[/C][C]0.32[/C][C]0.169[/C][C]1[/C][C]-0.041[/C][C]-0.05[/C][/ROW]
[ROW][C]Amotivation[/C][C]-0.244[/C][C]-0.203[/C][C]0.045[/C][C]-0.197[/C][C]0.006[/C][C]-0.041[/C][C]1[/C][C]-0.134[/C][/ROW]
[ROW][C]gender[/C][C]0.117[/C][C]0.219[/C][C]-0.016[/C][C]-0.007[/C][C]0.023[/C][C]-0.05[/C][C]-0.134[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107647&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107647&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series (method=kendall)
	I/ToKnow	I/Accomp.	I/Exp.Stimulation	E/Identified	E/Introjected	E/Ext.Regulation	Amotivation	gender
I/ToKnow	1	0.441	0.389	0.377	0.196	0.12	-0.244	0.117
I/Accomp.	0.441	1	0.341	0.234	0.374	0.025	-0.203	0.219
I/Exp.Stimulation	0.389	0.341	1	0.182	0.142	-0.025	0.045	-0.016
E/Identified	0.377	0.234	0.182	1	0.183	0.32	-0.197	-0.007
E/Introjected	0.196	0.374	0.142	0.183	1	0.169	0.006	0.023
E/Ext.Regulation	0.12	0.025	-0.025	0.32	0.169	1	-0.041	-0.05
Amotivation	-0.244	-0.203	0.045	-0.197	0.006	-0.041	1	-0.134
gender	0.117	0.219	-0.016	-0.007	0.023	-0.05	-0.134	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
I/ToKnow;I/Accomp.	0.5932	0.5855	0.4409
p-value	(0)	(0)	(0)
I/ToKnow;I/Exp.Stimulation	0.5146	0.5043	0.3886
p-value	(0)	(0)	(0)
I/ToKnow;E/Identified	0.4556	0.5056	0.3773
p-value	(0)	(0)	(0)
I/ToKnow;E/Introjected	0.2402	0.2575	0.1962
p-value	(0.002)	(9e-04)	(5e-04)
I/ToKnow;E/Ext.Regulation	0.1385	0.1519	0.1203
p-value	(0.0769)	(0.0522)	(0.0336)
I/ToKnow;Amotivation	-0.2799	-0.3154	-0.2445
p-value	(3e-04)	(0)	(0)
I/ToKnow;gender	0.1255	0.138	0.1171
p-value	(0.1093)	(0.0781)	(0.0782)
I/Accomp.;I/Exp.Stimulation	0.4506	0.4521	0.3406
p-value	(0)	(0)	(0)
I/Accomp.;E/Identified	0.281	0.3241	0.2342
p-value	(3e-04)	(0)	(0)
I/Accomp.;E/Introjected	0.5532	0.4922	0.3745
p-value	(0)	(0)	(0)
I/Accomp.;E/Ext.Regulation	-0.0055	0.0323	0.0245
p-value	(0.9447)	(0.6818)	(0.663)
I/Accomp.;Amotivation	-0.2391	-0.261	-0.2029
p-value	(0.002)	(7e-04)	(7e-04)
I/Accomp.;gender	0.271	0.2597	0.2192
p-value	(4e-04)	(8e-04)	(9e-04)
I/Exp.Stimulation;E/Identified	0.2386	0.2437	0.1816
p-value	(0.0021)	(0.0017)	(0.0013)
I/Exp.Stimulation;E/Introjected	0.2251	0.1909	0.1416
p-value	(0.0038)	(0.0144)	(0.0112)
I/Exp.Stimulation;E/Ext.Regulation	0.0201	-0.0333	-0.0253
p-value	(0.7988)	(0.6725)	(0.6528)
I/Exp.Stimulation;Amotivation	0.0519	0.0575	0.0451
p-value	(0.509)	(0.4643)	(0.4496)
I/Exp.Stimulation;gender	-0.017	-0.0188	-0.0159
p-value	(0.8291)	(0.8107)	(0.8099)
E/Identified;E/Introjected	0.1872	0.2481	0.1834
p-value	(0.0164)	(0.0014)	(0.0012)
E/Identified;E/Ext.Regulation	0.4133	0.4155	0.3205
p-value	(0)	(0)	(0)
E/Identified;Amotivation	-0.2615	-0.2479	-0.1975
p-value	(7e-04)	(0.0014)	(0.0011)
E/Identified;gender	-3e-04	-0.0081	-0.0069
p-value	(0.9969)	(0.9178)	(0.9174)
E/Introjected;E/Ext.Regulation	0.1429	0.2329	0.1694
p-value	(0.068)	(0.0027)	(0.0027)
E/Introjected;Amotivation	0.0141	0.0109	0.0063
p-value	(0.8582)	(0.8893)	(0.9165)
E/Introjected;gender	0.0509	0.0278	0.0235
p-value	(0.5177)	(0.7241)	(0.723)
E/Ext.Regulation;Amotivation	-0.0901	-0.051	-0.0409
p-value	(0.251)	(0.5169)	(0.4973)
E/Ext.Regulation;gender	-0.0395	-0.0587	-0.0499
p-value	(0.616)	(0.4556)	(0.4539)
Amotivation;gender	-0.1599	-0.1481	-0.1339
p-value	(0.0408)	(0.0584)	(0.0586)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
I/ToKnow;I/Accomp. & 0.5932 & 0.5855 & 0.4409 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
I/ToKnow;I/Exp.Stimulation & 0.5146 & 0.5043 & 0.3886 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
I/ToKnow;E/Identified & 0.4556 & 0.5056 & 0.3773 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
I/ToKnow;E/Introjected & 0.2402 & 0.2575 & 0.1962 \tabularnewline
p-value & (0.002) & (9e-04) & (5e-04) \tabularnewline
I/ToKnow;E/Ext.Regulation & 0.1385 & 0.1519 & 0.1203 \tabularnewline
p-value & (0.0769) & (0.0522) & (0.0336) \tabularnewline
I/ToKnow;Amotivation & -0.2799 & -0.3154 & -0.2445 \tabularnewline
p-value & (3e-04) & (0) & (0) \tabularnewline
I/ToKnow;gender & 0.1255 & 0.138 & 0.1171 \tabularnewline
p-value & (0.1093) & (0.0781) & (0.0782) \tabularnewline
I/Accomp.;I/Exp.Stimulation & 0.4506 & 0.4521 & 0.3406 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
I/Accomp.;E/Identified & 0.281 & 0.3241 & 0.2342 \tabularnewline
p-value & (3e-04) & (0) & (0) \tabularnewline
I/Accomp.;E/Introjected & 0.5532 & 0.4922 & 0.3745 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
I/Accomp.;E/Ext.Regulation & -0.0055 & 0.0323 & 0.0245 \tabularnewline
p-value & (0.9447) & (0.6818) & (0.663) \tabularnewline
I/Accomp.;Amotivation & -0.2391 & -0.261 & -0.2029 \tabularnewline
p-value & (0.002) & (7e-04) & (7e-04) \tabularnewline
I/Accomp.;gender & 0.271 & 0.2597 & 0.2192 \tabularnewline
p-value & (4e-04) & (8e-04) & (9e-04) \tabularnewline
I/Exp.Stimulation;E/Identified & 0.2386 & 0.2437 & 0.1816 \tabularnewline
p-value & (0.0021) & (0.0017) & (0.0013) \tabularnewline
I/Exp.Stimulation;E/Introjected & 0.2251 & 0.1909 & 0.1416 \tabularnewline
p-value & (0.0038) & (0.0144) & (0.0112) \tabularnewline
I/Exp.Stimulation;E/Ext.Regulation & 0.0201 & -0.0333 & -0.0253 \tabularnewline
p-value & (0.7988) & (0.6725) & (0.6528) \tabularnewline
I/Exp.Stimulation;Amotivation & 0.0519 & 0.0575 & 0.0451 \tabularnewline
p-value & (0.509) & (0.4643) & (0.4496) \tabularnewline
I/Exp.Stimulation;gender & -0.017 & -0.0188 & -0.0159 \tabularnewline
p-value & (0.8291) & (0.8107) & (0.8099) \tabularnewline
E/Identified;E/Introjected & 0.1872 & 0.2481 & 0.1834 \tabularnewline
p-value & (0.0164) & (0.0014) & (0.0012) \tabularnewline
E/Identified;E/Ext.Regulation & 0.4133 & 0.4155 & 0.3205 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
E/Identified;Amotivation & -0.2615 & -0.2479 & -0.1975 \tabularnewline
p-value & (7e-04) & (0.0014) & (0.0011) \tabularnewline
E/Identified;gender & -3e-04 & -0.0081 & -0.0069 \tabularnewline
p-value & (0.9969) & (0.9178) & (0.9174) \tabularnewline
E/Introjected;E/Ext.Regulation & 0.1429 & 0.2329 & 0.1694 \tabularnewline
p-value & (0.068) & (0.0027) & (0.0027) \tabularnewline
E/Introjected;Amotivation & 0.0141 & 0.0109 & 0.0063 \tabularnewline
p-value & (0.8582) & (0.8893) & (0.9165) \tabularnewline
E/Introjected;gender & 0.0509 & 0.0278 & 0.0235 \tabularnewline
p-value & (0.5177) & (0.7241) & (0.723) \tabularnewline
E/Ext.Regulation;Amotivation & -0.0901 & -0.051 & -0.0409 \tabularnewline
p-value & (0.251) & (0.5169) & (0.4973) \tabularnewline
E/Ext.Regulation;gender & -0.0395 & -0.0587 & -0.0499 \tabularnewline
p-value & (0.616) & (0.4556) & (0.4539) \tabularnewline
Amotivation;gender & -0.1599 & -0.1481 & -0.1339 \tabularnewline
p-value & (0.0408) & (0.0584) & (0.0586) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107647&T=2

[TABLE]
[ROW][C]Correlations for all pairs of data series with p-values[/C][/ROW]
[ROW][C]pair[/C][C]Pearson r[/C][C]Spearman rho[/C][C]Kendall tau[/C][/ROW]
[ROW][C]I/ToKnow;I/Accomp.[/C][C]0.5932[/C][C]0.5855[/C][C]0.4409[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I/ToKnow;I/Exp.Stimulation[/C][C]0.5146[/C][C]0.5043[/C][C]0.3886[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I/ToKnow;E/Identified[/C][C]0.4556[/C][C]0.5056[/C][C]0.3773[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I/ToKnow;E/Introjected[/C][C]0.2402[/C][C]0.2575[/C][C]0.1962[/C][/ROW]
[ROW][C]p-value[/C][C](0.002)[/C][C](9e-04)[/C][C](5e-04)[/C][/ROW]
[ROW][C]I/ToKnow;E/Ext.Regulation[/C][C]0.1385[/C][C]0.1519[/C][C]0.1203[/C][/ROW]
[ROW][C]p-value[/C][C](0.0769)[/C][C](0.0522)[/C][C](0.0336)[/C][/ROW]
[ROW][C]I/ToKnow;Amotivation[/C][C]-0.2799[/C][C]-0.3154[/C][C]-0.2445[/C][/ROW]
[ROW][C]p-value[/C][C](3e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I/ToKnow;gender[/C][C]0.1255[/C][C]0.138[/C][C]0.1171[/C][/ROW]
[ROW][C]p-value[/C][C](0.1093)[/C][C](0.0781)[/C][C](0.0782)[/C][/ROW]
[ROW][C]I/Accomp.;I/Exp.Stimulation[/C][C]0.4506[/C][C]0.4521[/C][C]0.3406[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I/Accomp.;E/Identified[/C][C]0.281[/C][C]0.3241[/C][C]0.2342[/C][/ROW]
[ROW][C]p-value[/C][C](3e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I/Accomp.;E/Introjected[/C][C]0.5532[/C][C]0.4922[/C][C]0.3745[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I/Accomp.;E/Ext.Regulation[/C][C]-0.0055[/C][C]0.0323[/C][C]0.0245[/C][/ROW]
[ROW][C]p-value[/C][C](0.9447)[/C][C](0.6818)[/C][C](0.663)[/C][/ROW]
[ROW][C]I/Accomp.;Amotivation[/C][C]-0.2391[/C][C]-0.261[/C][C]-0.2029[/C][/ROW]
[ROW][C]p-value[/C][C](0.002)[/C][C](7e-04)[/C][C](7e-04)[/C][/ROW]
[ROW][C]I/Accomp.;gender[/C][C]0.271[/C][C]0.2597[/C][C]0.2192[/C][/ROW]
[ROW][C]p-value[/C][C](4e-04)[/C][C](8e-04)[/C][C](9e-04)[/C][/ROW]
[ROW][C]I/Exp.Stimulation;E/Identified[/C][C]0.2386[/C][C]0.2437[/C][C]0.1816[/C][/ROW]
[ROW][C]p-value[/C][C](0.0021)[/C][C](0.0017)[/C][C](0.0013)[/C][/ROW]
[ROW][C]I/Exp.Stimulation;E/Introjected[/C][C]0.2251[/C][C]0.1909[/C][C]0.1416[/C][/ROW]
[ROW][C]p-value[/C][C](0.0038)[/C][C](0.0144)[/C][C](0.0112)[/C][/ROW]
[ROW][C]I/Exp.Stimulation;E/Ext.Regulation[/C][C]0.0201[/C][C]-0.0333[/C][C]-0.0253[/C][/ROW]
[ROW][C]p-value[/C][C](0.7988)[/C][C](0.6725)[/C][C](0.6528)[/C][/ROW]
[ROW][C]I/Exp.Stimulation;Amotivation[/C][C]0.0519[/C][C]0.0575[/C][C]0.0451[/C][/ROW]
[ROW][C]p-value[/C][C](0.509)[/C][C](0.4643)[/C][C](0.4496)[/C][/ROW]
[ROW][C]I/Exp.Stimulation;gender[/C][C]-0.017[/C][C]-0.0188[/C][C]-0.0159[/C][/ROW]
[ROW][C]p-value[/C][C](0.8291)[/C][C](0.8107)[/C][C](0.8099)[/C][/ROW]
[ROW][C]E/Identified;E/Introjected[/C][C]0.1872[/C][C]0.2481[/C][C]0.1834[/C][/ROW]
[ROW][C]p-value[/C][C](0.0164)[/C][C](0.0014)[/C][C](0.0012)[/C][/ROW]
[ROW][C]E/Identified;E/Ext.Regulation[/C][C]0.4133[/C][C]0.4155[/C][C]0.3205[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]E/Identified;Amotivation[/C][C]-0.2615[/C][C]-0.2479[/C][C]-0.1975[/C][/ROW]
[ROW][C]p-value[/C][C](7e-04)[/C][C](0.0014)[/C][C](0.0011)[/C][/ROW]
[ROW][C]E/Identified;gender[/C][C]-3e-04[/C][C]-0.0081[/C][C]-0.0069[/C][/ROW]
[ROW][C]p-value[/C][C](0.9969)[/C][C](0.9178)[/C][C](0.9174)[/C][/ROW]
[ROW][C]E/Introjected;E/Ext.Regulation[/C][C]0.1429[/C][C]0.2329[/C][C]0.1694[/C][/ROW]
[ROW][C]p-value[/C][C](0.068)[/C][C](0.0027)[/C][C](0.0027)[/C][/ROW]
[ROW][C]E/Introjected;Amotivation[/C][C]0.0141[/C][C]0.0109[/C][C]0.0063[/C][/ROW]
[ROW][C]p-value[/C][C](0.8582)[/C][C](0.8893)[/C][C](0.9165)[/C][/ROW]
[ROW][C]E/Introjected;gender[/C][C]0.0509[/C][C]0.0278[/C][C]0.0235[/C][/ROW]
[ROW][C]p-value[/C][C](0.5177)[/C][C](0.7241)[/C][C](0.723)[/C][/ROW]
[ROW][C]E/Ext.Regulation;Amotivation[/C][C]-0.0901[/C][C]-0.051[/C][C]-0.0409[/C][/ROW]
[ROW][C]p-value[/C][C](0.251)[/C][C](0.5169)[/C][C](0.4973)[/C][/ROW]
[ROW][C]E/Ext.Regulation;gender[/C][C]-0.0395[/C][C]-0.0587[/C][C]-0.0499[/C][/ROW]
[ROW][C]p-value[/C][C](0.616)[/C][C](0.4556)[/C][C](0.4539)[/C][/ROW]
[ROW][C]Amotivation;gender[/C][C]-0.1599[/C][C]-0.1481[/C][C]-0.1339[/C][/ROW]
[ROW][C]p-value[/C][C](0.0408)[/C][C](0.0584)[/C][C](0.0586)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107647&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107647&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
I/ToKnow;I/Accomp.	0.5932	0.5855	0.4409
p-value	(0)	(0)	(0)
I/ToKnow;I/Exp.Stimulation	0.5146	0.5043	0.3886
p-value	(0)	(0)	(0)
I/ToKnow;E/Identified	0.4556	0.5056	0.3773
p-value	(0)	(0)	(0)
I/ToKnow;E/Introjected	0.2402	0.2575	0.1962
p-value	(0.002)	(9e-04)	(5e-04)
I/ToKnow;E/Ext.Regulation	0.1385	0.1519	0.1203
p-value	(0.0769)	(0.0522)	(0.0336)
I/ToKnow;Amotivation	-0.2799	-0.3154	-0.2445
p-value	(3e-04)	(0)	(0)
I/ToKnow;gender	0.1255	0.138	0.1171
p-value	(0.1093)	(0.0781)	(0.0782)
I/Accomp.;I/Exp.Stimulation	0.4506	0.4521	0.3406
p-value	(0)	(0)	(0)
I/Accomp.;E/Identified	0.281	0.3241	0.2342
p-value	(3e-04)	(0)	(0)
I/Accomp.;E/Introjected	0.5532	0.4922	0.3745
p-value	(0)	(0)	(0)
I/Accomp.;E/Ext.Regulation	-0.0055	0.0323	0.0245
p-value	(0.9447)	(0.6818)	(0.663)
I/Accomp.;Amotivation	-0.2391	-0.261	-0.2029
p-value	(0.002)	(7e-04)	(7e-04)
I/Accomp.;gender	0.271	0.2597	0.2192
p-value	(4e-04)	(8e-04)	(9e-04)
I/Exp.Stimulation;E/Identified	0.2386	0.2437	0.1816
p-value	(0.0021)	(0.0017)	(0.0013)
I/Exp.Stimulation;E/Introjected	0.2251	0.1909	0.1416
p-value	(0.0038)	(0.0144)	(0.0112)
I/Exp.Stimulation;E/Ext.Regulation	0.0201	-0.0333	-0.0253
p-value	(0.7988)	(0.6725)	(0.6528)
I/Exp.Stimulation;Amotivation	0.0519	0.0575	0.0451
p-value	(0.509)	(0.4643)	(0.4496)
I/Exp.Stimulation;gender	-0.017	-0.0188	-0.0159
p-value	(0.8291)	(0.8107)	(0.8099)
E/Identified;E/Introjected	0.1872	0.2481	0.1834
p-value	(0.0164)	(0.0014)	(0.0012)
E/Identified;E/Ext.Regulation	0.4133	0.4155	0.3205
p-value	(0)	(0)	(0)
E/Identified;Amotivation	-0.2615	-0.2479	-0.1975
p-value	(7e-04)	(0.0014)	(0.0011)
E/Identified;gender	-3e-04	-0.0081	-0.0069
p-value	(0.9969)	(0.9178)	(0.9174)
E/Introjected;E/Ext.Regulation	0.1429	0.2329	0.1694
p-value	(0.068)	(0.0027)	(0.0027)
E/Introjected;Amotivation	0.0141	0.0109	0.0063
p-value	(0.8582)	(0.8893)	(0.9165)
E/Introjected;gender	0.0509	0.0278	0.0235
p-value	(0.5177)	(0.7241)	(0.723)
E/Ext.Regulation;Amotivation	-0.0901	-0.051	-0.0409
p-value	(0.251)	(0.5169)	(0.4973)
E/Ext.Regulation;gender	-0.0395	-0.0587	-0.0499
p-value	(0.616)	(0.4556)	(0.4539)
Amotivation;gender	-0.1599	-0.1481	-0.1339
p-value	(0.0408)	(0.0584)	(0.0586)

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = kendall ;

Parameters (R input):

par1 = kendall ;

R code (references can be found in the software module):

panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(0, 1, 0, 1))
rr <- cor.test(x, y, method=par1)
r <- round(rr$p.value,2)
txt <- format(c(r, 0.123456789), digits=digits)[1]
txt <- paste(prefix, txt, sep='')
if(missing(cex.cor)) cex <- 0.5/strwidth(txt)
text(0.5, 0.5, txt, cex = cex)
}
panel.hist <- function(x, ...)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(usr[1:2], 0, 1.5) )
h <- hist(x, plot = FALSE)
breaks <- h$breaks; nB <- length(breaks)
y <- h$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
n
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$estimate,3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'pair',1,TRUE)
a<-table.element(a,'Pearson r',1,TRUE)
a<-table.element(a,'Spearman rho',1,TRUE)
a<-table.element(a,'Kendall tau',1,TRUE)
a<-table.row.end(a)
cor.test(y[1,],y[2,],method=par1)
for (i in 1:(n-1))
{
for (j in (i+1):n)
{
a<-table.row.start(a)
dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='')
a<-table.element(a,dum,header=TRUE)
rp <- cor.test(y[i,],y[j,],method='pearson')
a<-table.element(a,round(rp$estimate,4))
rs <- cor.test(y[i,],y[j,],method='spearman')
a<-table.element(a,round(rs$estimate,4))
rk <- cor.test(y[i,],y[j,],method='kendall')
a<-table.element(a,round(rk$estimate,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=T)
a<-table.element(a,paste('(',round(rp$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rs$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rk$p.value,4),')',sep=''))
a<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable1.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code