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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_surveyscores.wasp

Title produced by software

Survey Scores

Date of computation

Tue, 14 Dec 2010 11:33:36 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/14/t1292326296vao5ylsm2nh8hyh.htm/, Retrieved Fri, 03 May 2024 02:13:11 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=109424, Retrieved Fri, 03 May 2024 02:13:11 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

121

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Survey Scores] [E-Learn 2008 table 1] [2008-09-07 11:33:54] [b98453cac15ba1066b407e146608df68]
F RM D  [Survey Scores] [ATTLES] [2010-04-05 12:47:13] [b98453cac15ba1066b407e146608df68]
- R PD      [Survey Scores] [Survey Scores - A...] [2010-12-14 11:33:36] [e192c8164fa91adb027f71579ac0a49a] [Current]
-             [Survey Scores] [Survey Scores - A...] [2010-12-20 19:42:16] [af8eb90b4bf1bcfcc4325c143dbee260] 

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Dataseries X:

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Histogram

Boxplots

3	4	5	6	2	1	7	7	6	5	7	7	1	4	3
3	1	1	3	5	2	7	2	2	2	4	5	6	6	5
3	2	2	4	1	1	6	2	2	3	5	5	2	2	1
3	3	1	2	2	2	7	4	5	3	4	5	5	2	1
3	5	1	4	2	1	4	5	2	3	2	5	4	4	4
3	5	4	5	3	2	7	6	5	6	5	6	5	5	5
3	5	6	6	5	3	6	3	6	6	7	6	7	5	4
3	2	3	4	4	3	1	6	7	6	6	2	5	4	2
3	4	2	3	3	7	4	6	3	5	6	2	4	4	2
3	1	1	1	1	1	1	4	1	4	1	1	1	1	1
3	2	2	2	2	3	2	3	2	3	2	2	4	4	3
3	4	2	1	1	7	7	5	4	5	4	6	5	4	5
3	3	2	3	2	4	5	5	2	2	2	3	2	6	2
3	3	3	5	2	2	5	5	4	5	2	4	6	4	5
3	2	2	4	1	2	4	2	4	1	4	3	2	4	1
3	2	2	5	2	2	3	2	4	2	5	5	2	3	2
3	5	1	1	2	3	6	5	2	4	5	3	2	3	4
3	2	3	4	3	5	6	3	5	7	5	2	6	NA	3
3	6	6	6	6	6	6	2	4	6	6	7	3	6	3
3	1	4	4	4	2	2	6	5	5	7	5	6	5	4
3	1	1	1	1	1	1	1	1	1	1	2	1	1	1
3	5	1	2	3	2	2	3	3	3	3	3	3	3	1
3	5	3	3	5	3	5	6	3	5	6	3	2	5	2
3	5	2	2	2	1	7	6	6	5	7	6	5	4	1
3	5	5	4	6	5	6	2	5	6	6	3	6	4	4
3	5	2	5	5	3	5	5	5	5	5	6	3	5	3
3	2	4	4	2	2	2	7	5	4	5	2	5	5	4
3	2	1	5	6	1	3	2	3	3	4	5	3	3	1
3	4	3	5	4	3	3	5	5	5	5	3	3	3	3
3	3	1	4	3	2	3	5	3	3	3	5	6	4	2
3	2	3	2	4	2	2	5	2	2	2	3	2	4	2
3	4	3	4	5	4	5	6	5	1	4	5	3	2	4
3	5	1	6	1	4	7	5	5	5	1	1	3	1	1
3	1	1	7	5	1	5	6	1	6	7	3	1	1	1
3	2	2	2	3	1	4	1	1	1	1	1	1	2	2
3	5	1	5	1	2	5	3	1	5	5	5	5	3	2
5	5	6	7	4	6	5	4	5	6	6	5	2	3	6
3	5	2	3	6	5	5	4	3	5	5	5	5	5	4
3	2	4	3	2	2	5	3	2	4	4	5	3	3	2
3	2	2	1	3	5	3	6	5	5	2	2	2	6	2
3	5	3	5	4	5	3	6	4	6	6	4	4	3	4
3	6	2	3	5	7	7	5	1	2	6	6	1	3	4
3	3	1	4	4	2	6	2	2	4	1	2	5	4	3
3	3	6	4	3	3	5	5	6	6	5	5	5	5	5
3	2	2	5	2	2	5	2	4	6	5	5	5	3	4
3	5	6	6	6	4	6	6	6	3	7	7	2	6	5
3	2	2	5	3	6	5	5	4	5	5	4	2	5	2
2	2	1	2	3	1	2	2	2	2	2	4	2	4	3
3	5	2	6	6	5	2	5	6	7	5	3	4	6	2
3	1	1	4	2	5	4	3	2	2	5	5	4	3	1
3	7	7	1	4	1	5	6	6	6	5	5	2	6	4
3	3	2	3	3	6	6	3	2	5	5	2	2	2	2
3	1	1	1	1	1	3	1	1	1	1	1	1	1	1
3	4	5	3	5	7	7	5	5	5	5	5	5	4	4
3	2	6	5	3	4	4	4	4	4	4	4	4	4	4
3	3	1	2	2	1	4	4	5	4	2	4	2	5	4
3	3	3	3	3	1	6	6	6	2	6	6	2	4	2
3	4	1	2	2	1	5	2	5	3	2	5	2	4	4
3	2	4	5	2	1	5	7	6	2	3	4	2	2	5
3	3	7	5	5	3	5	6	5	3	4	5	5	5	3
3	5	6	5	5	6	6	2	7	5	6	2	6	6	3
3	3	3	4	2	4	6	5	3	2	2	3	2	2	2
3	7	3	3	4	6	7	6	3	7	3	4	5	4	5
3	5	2	2	2	1	1	1	2	1	3	5	3	4	3
3	4	3	6	6	5	3	4	4	2	2	3	2	4	3
3	1	1	1	1	1	7	5	2	2	2	6	4	6	4
3	2	2	2	7	1	2	2	2	6	2	2	6	6	1
2	2	3	2	2	3	3	5	1	5	1	2	6	6	2
3	2	2	5	2	2	2	6	5	4	6	2	2	2	2
3	2	3	2	2	1	2	1	1	1	1	2	1	1	2
3	5	3	3	3	7	5	5	5	4	6	5	3	3	3
3	1	1	1	2	2	7	2	6	3	3	5	3	5	2
3	4	3	5	5	3	4	6	6	4	6	5	7	4	4
3	1	1	5	2	2	2	3	2	3	4	5	3	4	3
3	2	2	5	2	2	5	4	2	3	5	4	3	4	3
3	2	2	2	4	2	3	1	2	2	3	4	3	4	2
3	3	4	5	4	4	4	5	5	3	6	6	5	5	3
3	1	1	1	3	2	5	1	5	3	7	6	5	5	6
3	2	1	7	2	6	6	1	3	3	7	3	1	1	4
3	2	1	2	1	2	1	3	3	2	5	6	3	5	3
5	3	2	3	3	2	2	2	3	5	3	3	2	3	4
3	2	2	2	2	6	7	3	2	2	5	3	2	5	4
3	5	2	2	2	3	4	5	4	5	5	4	4	4	3
3	2	2	5	5	1	1	1	1	1	5	5	2	2	2
3	2	2	3	5	2	2	6	1	2	2	3	3	1	3
3	2	2	5	2	2	5	1	NA	5	6	6	2	6	4
3	2	2	3	4	2	7	5	3	2	4	4	3	3	2
3	2	2	2	3	2	3	5	5	2	2	2	2	2	2
4	2	2	5	2	2	5	5	5	6	5	4	3	5	2
3	2	1	2	1	2	2	2	2	3	2	2	4	1	1
3	6	2	2	2	6	6	6	2	2	2	5	2	2	3
3	1	1	2	6	1	5	6	6	2	6	3	2	2	2
3	1	2	2	5	7	6	6	5	2	3	6	3	3	2
3	5	5	6	5	2	6	5	4	5	7	4	2	5	2
3	5	3	5	6	2	7	5	2	3	5	6	7	7	6
3	1	1	1	1	1	4	6	1	1	1	1	1	4	1
3	5	4	2	1	2	2	1	5	3	6	6	2	6	4
3	5	2	2	2	4	5	5	3	6	3	4	3	3	3
3	6	2	5	6	5	3	6	3	6	6	7	3	6	3
3	5	3	6	2	5	6	6	5	3	5	5	3	3	3
3	4	4	2	3	1	4	5	2	2	4	5	4	2	1
3	1	1	1	7	1	1	7	2	5	3	1	7	4	1
3	1	1	2	7	7	7	3	7	3	1	7	7	7	5
3	3	4	5	4	5	5	5	3	3	2	3	3	3	3
3	4	5	4	4	3	3	4	5	4	3	5	4	5	4
3	2	2	3	3	5	2	5	2	5	5	5	3	2	3
3	3	4	5	4	6	4	4	3	5	6	6	4	5	4
3	2	2	5	4	3	3	4	2	5	6	6	4	5	2
3	2	2	4	2	2	5	6	3	4	5	5	2	5	4
3	2	6	6	6	2	6	2	5	6	6	5	7	6	4
3	6	1	1	2	5	4	1	1	1	1	1	1	5	1
3	1	1	1	1	2	6	2	2	5	5	4	2	3	1
3	5	3	5	2	5	6	6	4	5	5	6	3	4	4
3	2	1	2	2	2	4	1	1	1	2	2	1	2	1
3	5	4	5	4	4	3	4	4	5	4	4	5	5	4
3	4	5	5	5	3	3	4	5	4	5	5	5	5	4
3	2	4	5	4	6	5	6	2	5	5	3	4	4	5
3	5	2	2	2	2	2	6	3	4	3	5	4	6	NA
3	2	2	3	2	2	5	1	1	2	2	5	5	5	2
3	2	2	2	4	1	5	7	2	3	5	5	5	4	1
3	2	2	3	5	3	3	5	2	3	3	2	5	5	4
3	5	2	5	5	2	4	5	2	5	5	4	5	6	6
3	4	5	5	5	5	4	6	4	5	5	5	3	5	4
4	4	5	4	4	5	6	4	4	4	5	5	3	5	4
3	3	4	3	5	2	5	6	3	4	5	5	4	3	4
3	1	1	2	2	1	1	4	2	1	1	3	4	3	3
3	2	2	5	3	1	7	5	6	7	7	7	1	4	2
3	2	2	4	4	6	3	2	2	4	5	5	2	4	4
3	3	1	2	2	2	2	2	3	2	2	2	4	2	2
3	6	6	6	5	5	NA	3	3	5	7	5	3	4	2
3	2	2	2	3	5	6	2	3	3	5	3	2	5	2
3	2	2	4	NA	1	5	5	6	6	6	3	3	5	2
3	1	6	3	1	2	5	2	3	2	2	2	2	2	3
3	2	2	4	5	3	5	5	2	3	3	3	4	4	3
3	4	2	4	4	5	5	5	5	3	5	5	4	4	2
3	6	5	4	6	4	6	5	3	5	5	5	4	5	4
3	2	2	2	2	2	5	2	4	3	4	2	2	2	3
3	5	4	4	5	2	7	2	3	2	5	4	5	5	5
3	2	2	1	2	2	5	2	2	2	2	4	2	2	2
3	2	1	1	2	4	5	3	2	3	5	2	3	2	1
3	2	2	2	2	2	2	2	2	2	2	2	2	2	2
3	2	1	1	1	7	2	3	1	1	1	6	1	3	3
3	3	2	4	2	1	2	7	3	6	5	2	6	3	2
3	5	2	3	1	7	7	1	1	6	1	6	6	4	2
3	5	5	4	5	4	5	4	5	6	3	4	5	4	5
3	2	2	2	2	5	3	6	3	2	2	2	2	2	2

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	4 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 & 4 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109424&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]4 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=109424&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109424&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	4 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Summary of survey scores (median of Likert score was subtracted)
Question	mean	Sum ofpositives (Ps)	Sum ofnegatives (Ns)	(Ps-Ns)/(Ps+Ns)	Count ofpositives (Pc)	Count ofnegatives (Nc)	(Pc-Nc)/(Pc+Nc)
1	-0.97	2	144	-0.97	2	142	-0.97
2	-0.88	52	181	-0.55	41	90	-0.37
3	-1.38	36	237	-0.74	22	110	-0.67
4	-0.53	65	142	-0.37	48	73	-0.21
5	-0.74	57	164	-0.48	39	84	-0.37
6	-0.88	71	199	-0.47	41	93	-0.39
7	0.39	141	85	0.25	80	48	0.25
8	0.03	117	112	0.02	74	56	0.14
9	-0.59	67	152	-0.39	47	81	-0.27
10	-0.27	86	126	-0.19	58	71	-0.1
11	0.09	121	108	0.06	77	55	0.17
12	0.05	102	94	0.04	70	55	0.12
13	-0.59	64	150	-0.4	41	83	-0.34
14	-0.15	73	95	-0.13	52	55	-0.03
15	-1.09	20	178	-0.8	16	93	-0.71

\begin{tabular}{lllllllll}
\hline
Summary of survey scores (median of Likert score was subtracted) \tabularnewline
Question & mean & Sum ofpositives (Ps) & Sum ofnegatives (Ns) & (Ps-Ns)/(Ps+Ns) & Count ofpositives (Pc) & Count ofnegatives (Nc) & (Pc-Nc)/(Pc+Nc) \tabularnewline
1 & -0.97 & 2 & 144 & -0.97 & 2 & 142 & -0.97 \tabularnewline
2 & -0.88 & 52 & 181 & -0.55 & 41 & 90 & -0.37 \tabularnewline
3 & -1.38 & 36 & 237 & -0.74 & 22 & 110 & -0.67 \tabularnewline
4 & -0.53 & 65 & 142 & -0.37 & 48 & 73 & -0.21 \tabularnewline
5 & -0.74 & 57 & 164 & -0.48 & 39 & 84 & -0.37 \tabularnewline
6 & -0.88 & 71 & 199 & -0.47 & 41 & 93 & -0.39 \tabularnewline
7 & 0.39 & 141 & 85 & 0.25 & 80 & 48 & 0.25 \tabularnewline
8 & 0.03 & 117 & 112 & 0.02 & 74 & 56 & 0.14 \tabularnewline
9 & -0.59 & 67 & 152 & -0.39 & 47 & 81 & -0.27 \tabularnewline
10 & -0.27 & 86 & 126 & -0.19 & 58 & 71 & -0.1 \tabularnewline
11 & 0.09 & 121 & 108 & 0.06 & 77 & 55 & 0.17 \tabularnewline
12 & 0.05 & 102 & 94 & 0.04 & 70 & 55 & 0.12 \tabularnewline
13 & -0.59 & 64 & 150 & -0.4 & 41 & 83 & -0.34 \tabularnewline
14 & -0.15 & 73 & 95 & -0.13 & 52 & 55 & -0.03 \tabularnewline
15 & -1.09 & 20 & 178 & -0.8 & 16 & 93 & -0.71 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109424&T=1

[TABLE]
[ROW][C]Summary of survey scores (median of Likert score was subtracted)[/C][/ROW]
[ROW][C]Question[/C][C]mean[/C][C]Sum ofpositives (Ps)[/C][C]Sum ofnegatives (Ns)[/C][C](Ps-Ns)/(Ps+Ns)[/C][C]Count ofpositives (Pc)[/C][C]Count ofnegatives (Nc)[/C][C](Pc-Nc)/(Pc+Nc)[/C][/ROW]
[ROW][C]1[/C][C]-0.97[/C][C]2[/C][C]144[/C][C]-0.97[/C][C]2[/C][C]142[/C][C]-0.97[/C][/ROW]
[ROW][C]2[/C][C]-0.88[/C][C]52[/C][C]181[/C][C]-0.55[/C][C]41[/C][C]90[/C][C]-0.37[/C][/ROW]
[ROW][C]3[/C][C]-1.38[/C][C]36[/C][C]237[/C][C]-0.74[/C][C]22[/C][C]110[/C][C]-0.67[/C][/ROW]
[ROW][C]4[/C][C]-0.53[/C][C]65[/C][C]142[/C][C]-0.37[/C][C]48[/C][C]73[/C][C]-0.21[/C][/ROW]
[ROW][C]5[/C][C]-0.74[/C][C]57[/C][C]164[/C][C]-0.48[/C][C]39[/C][C]84[/C][C]-0.37[/C][/ROW]
[ROW][C]6[/C][C]-0.88[/C][C]71[/C][C]199[/C][C]-0.47[/C][C]41[/C][C]93[/C][C]-0.39[/C][/ROW]
[ROW][C]7[/C][C]0.39[/C][C]141[/C][C]85[/C][C]0.25[/C][C]80[/C][C]48[/C][C]0.25[/C][/ROW]
[ROW][C]8[/C][C]0.03[/C][C]117[/C][C]112[/C][C]0.02[/C][C]74[/C][C]56[/C][C]0.14[/C][/ROW]
[ROW][C]9[/C][C]-0.59[/C][C]67[/C][C]152[/C][C]-0.39[/C][C]47[/C][C]81[/C][C]-0.27[/C][/ROW]
[ROW][C]10[/C][C]-0.27[/C][C]86[/C][C]126[/C][C]-0.19[/C][C]58[/C][C]71[/C][C]-0.1[/C][/ROW]
[ROW][C]11[/C][C]0.09[/C][C]121[/C][C]108[/C][C]0.06[/C][C]77[/C][C]55[/C][C]0.17[/C][/ROW]
[ROW][C]12[/C][C]0.05[/C][C]102[/C][C]94[/C][C]0.04[/C][C]70[/C][C]55[/C][C]0.12[/C][/ROW]
[ROW][C]13[/C][C]-0.59[/C][C]64[/C][C]150[/C][C]-0.4[/C][C]41[/C][C]83[/C][C]-0.34[/C][/ROW]
[ROW][C]14[/C][C]-0.15[/C][C]73[/C][C]95[/C][C]-0.13[/C][C]52[/C][C]55[/C][C]-0.03[/C][/ROW]
[ROW][C]15[/C][C]-1.09[/C][C]20[/C][C]178[/C][C]-0.8[/C][C]16[/C][C]93[/C][C]-0.71[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109424&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109424&T=1

As an alternative you can also use a QR Code:

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

Summary of survey scores (median of Likert score was subtracted)
Question	mean	Sum ofpositives (Ps)	Sum ofnegatives (Ns)	(Ps-Ns)/(Ps+Ns)	Count ofpositives (Pc)	Count ofnegatives (Nc)	(Pc-Nc)/(Pc+Nc)
1	-0.97	2	144	-0.97	2	142	-0.97
2	-0.88	52	181	-0.55	41	90	-0.37
3	-1.38	36	237	-0.74	22	110	-0.67
4	-0.53	65	142	-0.37	48	73	-0.21
5	-0.74	57	164	-0.48	39	84	-0.37
6	-0.88	71	199	-0.47	41	93	-0.39
7	0.39	141	85	0.25	80	48	0.25
8	0.03	117	112	0.02	74	56	0.14
9	-0.59	67	152	-0.39	47	81	-0.27
10	-0.27	86	126	-0.19	58	71	-0.1
11	0.09	121	108	0.06	77	55	0.17
12	0.05	102	94	0.04	70	55	0.12
13	-0.59	64	150	-0.4	41	83	-0.34
14	-0.15	73	95	-0.13	52	55	-0.03
15	-1.09	20	178	-0.8	16	93	-0.71

Pearson correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0)	0.953 (0)	0.927 (0)
(Ps-Ns)/(Ps+Ns)	0.953 (0)	1 (0)	0.99 (0)
(Pc-Nc)/(Pc+Nc)	0.927 (0)	0.99 (0)	1 (0)

\begin{tabular}{lllllllll}
\hline
Pearson correlations of survey scores (and p-values) \tabularnewline
 & mean & (Ps-Ns)/(Ps+Ns) & (Pc-Nc)/(Pc+Nc) \tabularnewline
mean & 1 (0) & 0.953 (0) & 0.927 (0) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.953 (0) & 1 (0) & 0.99 (0) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.927 (0) & 0.99 (0) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109424&T=2

[TABLE]
[ROW][C]Pearson correlations of survey scores (and p-values)[/C][/ROW]
[ROW][C][/C][C]mean[/C][C](Ps-Ns)/(Ps+Ns)[/C][C](Pc-Nc)/(Pc+Nc)[/C][/ROW]
[ROW][C]mean[/C][C]1 (0)[/C][C]0.953 (0)[/C][C]0.927 (0)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.953 (0)[/C][C]1 (0)[/C][C]0.99 (0)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.927 (0)[/C][C]0.99 (0)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109424&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109424&T=2

As an alternative you can also use a QR Code:

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

Pearson correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0)	0.953 (0)	0.927 (0)
(Ps-Ns)/(Ps+Ns)	0.953 (0)	1 (0)	0.99 (0)
(Pc-Nc)/(Pc+Nc)	0.927 (0)	0.99 (0)	1 (0)

Kendall tau rank correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0)	0.914 (0)	0.908 (0)
(Ps-Ns)/(Ps+Ns)	0.914 (0)	1 (0)	0.938 (0)
(Pc-Nc)/(Pc+Nc)	0.908 (0)	0.938 (0)	1 (0)

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations of survey scores (and p-values) \tabularnewline
 & mean & (Ps-Ns)/(Ps+Ns) & (Pc-Nc)/(Pc+Nc) \tabularnewline
mean & 1 (0) & 0.914 (0) & 0.908 (0) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.914 (0) & 1 (0) & 0.938 (0) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.908 (0) & 0.938 (0) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109424&T=3

[TABLE]
[ROW][C]Kendall tau rank correlations of survey scores (and p-values)[/C][/ROW]
[ROW][C][/C][C]mean[/C][C](Ps-Ns)/(Ps+Ns)[/C][C](Pc-Nc)/(Pc+Nc)[/C][/ROW]
[ROW][C]mean[/C][C]1 (0)[/C][C]0.914 (0)[/C][C]0.908 (0)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.914 (0)[/C][C]1 (0)[/C][C]0.938 (0)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.908 (0)[/C][C]0.938 (0)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109424&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109424&T=3

As an alternative you can also use a QR Code:

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

Kendall tau rank correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0)	0.914 (0)	0.908 (0)
(Ps-Ns)/(Ps+Ns)	0.914 (0)	1 (0)	0.938 (0)
(Pc-Nc)/(Pc+Nc)	0.908 (0)	0.938 (0)	1 (0)

Parameters (Session):

par1 = 1 2 3 4 5 6 7 ;

Parameters (R input):

par1 = 1 2 3 4 5 6 7 ;

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

docor <- function(x,y,method) {
r <- cor.test(x,y,method=method)
paste(round(r$estimate,3),' (',round(r$p.value,3),')',sep='')
}
x <- t(x)
nx <- length(x[,1])
cx <- length(x[1,])
mymedian <- median(as.numeric(strsplit(par1,' ')[[1]]))
myresult <- array(NA, dim = c(cx,7))
rownames(myresult) <- paste('Q',1:cx,sep='')
colnames(myresult) <- c('mean','Sum of
positives (Ps)','Sum of
negatives (Ns)', '(Ps-Ns)/(Ps+Ns)', 'Count of
positives (Pc)', 'Count of
negatives (Nc)', '(Pc-Nc)/(Pc+Nc)')
for (i in 1:cx) {
spos <- 0
sneg <- 0
cpos <- 0
cneg <- 0
for (j in 1:nx) {
if (!is.na(x[j,i])) {
myx <- as.numeric(x[j,i]) - mymedian
if (myx > 0) {
spos = spos + myx
cpos = cpos + 1
}
if (myx < 0) {
sneg = sneg + abs(myx)
cneg = cneg + 1
}
}
}
myresult[i,1] <- round(mean(as.numeric(x[,i]),na.rm=T)-mymedian,2)
myresult[i,2] <- spos
myresult[i,3] <- sneg
myresult[i,4] <- round((spos - sneg) / (spos + sneg),2)
myresult[i,5] <- cpos
myresult[i,6] <- cneg
myresult[i,7] <- round((cpos - cneg) / (cpos + cneg),2)
}
myresult
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Summary of survey scores (median of Likert score was subtracted)',8,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Question',header=TRUE)
for (i in 1:7) {
a<-table.element(a,colnames(myresult)[i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:cx) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
for (j in 1:7) {
a<-table.element(a,myresult[i,j],align='right')
}
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,'Pearson correlations of survey scores (and p-values)',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'',header=TRUE)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,'(Ps-Ns)/(Ps+Ns)',header=TRUE)
a<-table.element(a,'(Pc-Nc)/(Pc+Nc)',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,docor(myresult[,1],myresult[,1],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,1],myresult[,4],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,1],myresult[,7],method='pearson'),align='right')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'(Ps-Ns)/(Ps+Ns)',header=TRUE)
a<-table.element(a,docor(myresult[,4],myresult[,1],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,4],myresult[,4],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,4],myresult[,7],method='pearson'),align='right')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'(Pc-Nc)/(Pc+Nc)',header=TRUE)
a<-table.element(a,docor(myresult[,7],myresult[,1],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,7],myresult[,4],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,7],myresult[,7],method='pearson'),align='right')
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Kendall tau rank correlations of survey scores (and p-values)',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'',header=TRUE)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,'(Ps-Ns)/(Ps+Ns)',header=TRUE)
a<-table.element(a,'(Pc-Nc)/(Pc+Nc)',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,docor(myresult[,1],myresult[,1],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,1],myresult[,4],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,1],myresult[,7],method='kendall'),align='right')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'(Ps-Ns)/(Ps+Ns)',header=TRUE)
a<-table.element(a,docor(myresult[,4],myresult[,1],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,4],myresult[,4],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,4],myresult[,7],method='kendall'),align='right')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'(Pc-Nc)/(Pc+Nc)',header=TRUE)
a<-table.element(a,docor(myresult[,7],myresult[,1],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,7],myresult[,4],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,7],myresult[,7],method='kendall'),align='right')
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable2.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code