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Author

*The author of this computation has been verified*

R Software Module

rwasp_surveyscores.wasp

Title produced by software

Survey Scores

Date of computation

Wed, 10 Dec 2014 12:14:29 +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/2014/Dec/10/t1418213700bctkqtp2jal0bvt.htm/, Retrieved Sun, 19 May 2024 16:32:30 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265001, Retrieved Sun, 19 May 2024 16:32:30 +0000

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Estimated Impact

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

-       [Survey Scores] [Kendall Tau NUM] [2014-12-10 12:14:29] [ddb851b9ced255c1d64c58a7ca49fb28] [Current]

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9 5 4 2 0 1
8 5 5 1 1 2
8 4 6 2 0 2
8 5 5 0 0 0
8 7 4 0 2 2
7 3 0 0 1 1
8 4 5 2 1 0
9 4 3 2 2 2
8 7 5 0 1 0
7 6 2 2 1 1
9 6 3 3 0 1
7 2 4 0 1 1
8 4 6 0 1 1
8 4 3 2 0 2
8 5 4 1 0 0
8 3 1 2 0 1
8 4 5 1 1 1
6 7 4 1 1 2
9 5 4 1 0 2
7 2 4 0 0 2
7 3 3 2 0 1
8 6 6 1 0 2
7 6 5 1 0 2
8 2 5 1 0 2
8 7 6 2 2 0
3 2 4 0 0 0
9 10 6 1 2 2
8 4 5 2 0 1
8 4 6 3 0 2
6 2 5 2 0 1
5 4 4 1 0 2
8 4 4 0 1 2
8 7 6 2 1 1
9 2 4 2 0 1
7 6 6 3 0 1
7 3 6 3 1 1
3 3 3 1 0 0
7 2 4 0 1 0
8 5 5 2 1 1
8 7 6 2 1 2
7 6 6 2 1 1
8 4 6 2 1 2
8 6 6 1 1 2
9 4 6 3 0 2
6 3 5 2 0 2
9 5 5 2 1 1
8 2 3 0 0 2
8 3 5 0 1 2
8 5 1 0 0 2
7 7 5 3 1 2
8 4 6 2 2 1
7 3 6 0 0 1
7 2 4 2 2 2
9 5 6 0 0 1
7 4 6 0 1 0
9 6 6 2 2 2
7 4 5 3 0 2
6 4 2 0 0 1
3 2 2 1 0 0
9 9 6 2 1 2
9 8 6 2 2 1
7 8 5 0 1 2
6 3 6 3 1 2
9 2 5 2 0 1
8 4 4 0 1 2
8 2 5 3 0 2
7 2 4 2 1 2
9 1 5 2 0 2
5 4 4 3 1 0
6 5 6 0 1 1
8 8 5 1 1 2
8 4 4 2 0 1
8 6 5 1 1 1
8 5 5 2 1 2
7 3 4 0 0 0
8 8 6 3 1 2
9 4 2 0 1 0
9 6 5 2 1 1
8 4 6 1 0 1
4 3 5 0 0 0
7 8 5 0 2 2
8 6 3 1 2 2
6 3 3 0 0 0
7 5 5 2 1 2
7 4 6 1 0 2
3 3 2 2 0 0
8 7 6 1 0 1
8 2 4 1 1 1
8 4 5 3 0 2
8 6 6 2 1 1
5 6 5 0 0 2
6 6 5 2 1 1
6 4 6 1 1 2
7 6 5 0 0 2
7 5 6 1 1 2
7 5 5 0 0 2
8 6 4 0 0 2
9 8 5 1 1 2
8 5 5 2 2 1
8 6 5 2 1 2
7 4 5 2 1 2
9 3 4 2 1 2
7 3 5 3 0 1
6 2 0 0 0 0
7 4 5 0 0 1
8 5 6 0 0 1
6 3 1 0 1 0
2 4 1 0 1 0
4 5 3 3 0 0
8 3 3 2 0 2
6 5 6 0 0 1
8 4 4 2 0 1
6 4 5 2 0 2
7 6 6 0 2 2
7 3 6 2 2 2
7 4 6 1 2 1
9 3 6 3 2 2
7 10 6 3 2 2
6 4 6 0 0 1
8 8 5 3 1 2
8 3 6 2 2 2
9 5 5 2 0 2
7 4 6 0 0 1
6 3 5 2 0 2
8 5 5 3 0 2
6 3 6 2 0 2
6 3 4 0 0 2
9 4 5 0 0 2
6 3 6 0 0 1
9 6 6 1 1 1
8 6 5 2 2 2
8 4 6 3 2 2
9 4 6 0 0 0
6 4 6 2 0 1
4 3 4 2 1 2
8 2 6 1 2 0
5 5 5 2 0 2
7 4 6 2 2 2
9 4 6 2 0 0
9 4 5 2 0 2
8 3 4 2 1 1
6 4 5 2 2 1
8 2 6 1 1 2
3 0 0 0 0 0
8 4 6 2 1 2
7 6 6 0 2 2
9 4 4 2 0 1
4 4 6 0 0 1
6 4 5 0 1 0
3 2 1 0 1 0
8 4 5 3 2 2
8 3 5 0 0 1
9 6 5 2 2 0
8 6 5 3 0 2
8 4 5 0 0 2
9 5 6 2 2 1
8 4 5 0 1 2
9 6 6 3 2 2
7 6 5 2 1 2
7 9 6 2 1 2
6 4 5 2 1 0
8 8 6 3 1 2
6 5 5 3 0 2
7 4 5 3 0 0
8 4 6 2 2 1
8 7 6 3 2 1
7 4 6 1 2 2
9 8 6 2 1 2
9 4 6 3 2 1
9 3 6 2 0 1
6 5 6 2 1 2
8 8 6 2 2 2
9 4 5 1 0 1
9 10 6 3 1 0
8 5 6 2 2 2
8 5 6 2 2 2
8 3 6 1 0 2
8 3 5 1 1 2
8 3 3 0 0 2
9 4 4 1 1 1
6 5 6 1 0 2
9 5 4 2 1 2
8 4 6 0 0 0
8 7 6 3 1 0
8 5 3 1 0 1
8 4 4 1 2 0
9 7 4 3 0 2
9 7 4 3 0 2
9 7 4 3 0 2
8 7 4 3 0 2
8 7 4 0 0 0
8 7 6 2 1 2
3 1 4 1 1 0
6 2 4 2 1 2
5 3 2 1 0 2
4 6 5 1 0 1
9 8 6 3 2 2
8 8 6 1 1 1
3 0 1 0 0 0
6 3 4 1 0 2
6 6 5 1 1 2
9 5 5 2 0 2
7 7 6 1 0 1
6 3 5 0 1 2
9 3 6 2 0 0
7 4 6 2 0 1
8 4 5 3 0 2
8 1 5 0 0 2
8 5 6 2 0 2
0 0 0 0 0 0
6 4 6 1 1 0
9 6 5 2 2 1
9 4 6 1 1 2
6 1 2 0 1 2
8 3 5 0 0 2
8 7 5 2 0 2
5 3 1 0 0 2
6 5 5 1 1 0
9 3 5 2 2 2
9 6 4 2 1 2
9 9 6 3 0 2
6 4 5 0 1 2
4 3 6 0 1 1
8 9 6 2 2 2
4 5 6 0 1 0
5 3 6 3 1 1
8 6 5 2 0 1
6 2 6 1 0 1
8 4 5 3 1 2
9 5 5 2 1 1
7 4 5 2 0 1
4 0 0 0 0 0
8 2 6 1 1 2
8 5 6 2 1 2
8 3 6 2 0 1
4 0 0 0 0 0
9 5 5 3 0 2
8 6 5 1 0 2
6 3 5 0 1 1
3 0 0 0 0 0
7 3 4 0 1 0
8 5 6 2 1 2
7 4 4 0 0 2
7 5 5 2 0 1
8 7 6 3 2 1
7 8 6 2 1 2
7 6 6 1 1 2
6 4 5 1 0 1
8 5 5 1 1 0
8 5 6 0 1 2
7 3 6 1 0 2
9 6 6 0 1 2
9 3 4 2 0 1
7 6 5 3 1 1
7 3 2 1 0 2
8 7 6 2 2 2
8 7 6 3 0 2
6 6 4 3 1 2
9 5 6 1 1 0
6 5 5 1 0 1
5 4 4 0 0 2
7 4 6 1 2 2
9 7 6 3 0 2
6 2 1 0 1 0
7 5 5 2 0 1
5 4 5 2 1 0
9 2 6 2 2 2
8 5 4 2 0 0
4 4 3 0 0 2
9 7 4 3 2 2
8 6 5 2 2 0
7 4 5 0 0 0
8 5 6 2 2 2
1 0 1 0 0 0
8 7 6 2 1 2
8 4 4 2 0 2
9 5 4 3 0 2
8 6 5 2 0 1
9 8 3 2 1 1
6 5 6 2 1 2
7 5 2 2 0 1
8 5 6 3 0 1
8 5 6 3 0 1
9 8 5 3 2 1
9 7 6 3 2 2
7 3 6 3 0 2
8 4 6 3 1 2
2 5 6 3 2 2
4 1 2 0 0 0
5 6 5 1 0 2
8 7 6 3 2 2
6 5 4 3 0 0
9 7 5 2 2 1
8 5 5 2 0 1
4 5 4 2 2 2
7 3 6 1 1 2
7 5 6 2 2 1
8 5 5 3 2 1
5 3 6 0 0 2
5 5 5 2 0 2
7 7 6 3 0 1
7 4 6 3 0 1
8 5 2 1 0 0
6 3 5 1 0 1
7 5 5 3 0 1
8 7 6 3 2 2
8 1 4 0 1 2
7 5 6 2 2 1
9 5 6 3 1 2
8 9 6 3 2 1
6 4 5 2 0 1
8 5 3 2 0 1
5 5 6 2 1 0
3 5 4 1 1 2
6 2 6 2 0 0
4 4 4 2 0 2
5 4 6 2 0 1
9 4 5 3 1 0
5 3 4 1 0 1
6 6 6 1 0 1
7 5 0 1 0 2
6 6 4 3 2 1
9 7 5 2 0 1
6 4 4 2 0 0
7 4 5 3 0 0
8 4 5 3 2 2
5 5 4 2 2 1
4 2 5 3 1 0
4 2 2 2 0 1
4 3 6 1 0 1
5 6 2 1 2 1
4 8 4 3 0 1
6 4 5 3 1 2
5 5 3 0 1 2
5 6 2 3 0 1
6 3 6 3 1 1
5 4 3 2 0 1
7 5 6 2 0 1
6 4 5 1 0 0
6 3 5 3 0 1
8 5 6 3 1 2
7 5 5 2 1 1
9 3 5 3 0 1
4 4 5 1 0 2
7 5 5 1 0 2
7 7 5 2 2 1
8 9 6 3 0 2
8 8 5 3 1 2
7 6 6 2 0 1
7 4 4 3 0 2
9 7 5 3 1 2
6 3 5 2 0 1
7 5 6 3 1 0
8 6 6 2 0 1
5 6 3 1 0 0
5 7 6 3 1 0
5 3 4 1 0 0
8 6 5 2 0 0
5 6 6 0 1 0
7 4 6 2 2 1
6 4 5 1 1 2
5 5 5 0 0 0
7 4 5 1 1 2
6 5 4 1 1 0
8 9 1 2 0 1
9 6 5 1 0 2
7 4 5 2 0 2
7 4 4 1 0 2
9 4 5 2 0 2
7 5 6 3 1 2
7 6 4 3 2 2
6 3 5 3 0 1
8 8 6 3 1 1
8 4 4 2 0 1
7 4 6 1 1 1
5 4 4 2 0 0
6 6 4 2 0 2
8 8 6 3 0 2
7 6 4 1 0 2
6 3 5 2 2 2
4 4 4 0 1 0
6 4 6 2 1 2
7 6 6 3 0 1
8 9 5 3 0 1
7 6 6 2 1 2
8 4 6 3 2 2
9 4 4 0 0 1
8 5 5 2 0 1
7 4 6 3 1 2
4 3 6 1 1 1
6 5 6 1 0 1
7 4 6 1 1 1
8 6 6 2 1 2
6 5 6 3 0 2
7 4 6 1 1 1
8 6 6 2 2 1
7 8 6 2 2 2
8 4 4 2 0 2
9 4 0 3 0 2
7 7 6 2 2 2
8 8 5 3 0 2
8 7 5 2 1 1
9 6 6 3 1 2
6 3 5 0 0 2
8 2 2 0 1 2
8 5 6 3 1 2
9 6 6 3 1 2
7 4 4 1 0 2
6 5 4 0 1 0
5 5 6 0 1 1
8 4 5 2 2 2
8 3 6 1 1 2
6 5 6 2 0 2
4 2 5 1 0 2
9 7 3 3 0 2
6 5 4 0 1 2
5 4 5 2 0 0
8 8 6 2 0 1
9 3 6 3 1 0
4 2 5 1 0 1
7 4 6 1 0 2
5 3 6 2 0 1
8 5 5 3 0 2
7 5 5 2 1 2
8 3 6 3 2 1
6 7 4 3 1 1
9 6 4 2 0 2
5 4 1 0 0 0
6 4 5 1 0 2
7 6 5 3 2 2
9 7 6 3 0 1
6 4 3 0 1 0
6 9 4 2 0 2
9 7 5 1 0 0
9 7 2 3 1 1
6 5 6 1 0 1
6 5 1 1 0 1
9 5 6 3 1 2
8 6 6 1 1 2
6 4 6 3 1 1
6 4 5 1 0 1
7 6 2 1 0 0
7 4 1 2 0 1
2 3 4 0 0 2
6 3 6 2 0 2
9 2 5 3 1 1
6 6 3 3 0 2
5 3 4 2 2 0
6 4 5 2 1 1
8 3 4 0 0 1
3 4 4 0 0 0
6 8 5 1 0 2
8 5 5 1 0 1
9 5 6 2 2 2
9 5 6 2 2 2
8 5 3 3 0 1
9 7 4 3 0 1
7 3 5 3 0 2
5 5 3 1 0 1
7 5 5 2 2 2
9 5 5 2 2 2
9 5 6 3 2 2
8 5 6 3 0 1
8 4 2 2 2 2
6 9 6 3 0 1
9 5 5 3 1 1
8 4 4 3 1 2
9 8 6 3 1 0
8 5 3 3 0 1
7 2 5 2 0 1
8 5 6 2 0 1
7 7 5 3 2 2
5 3 6 3 1 1
7 5 4 1 0 2
7 5 6 3 1 2
6 4 6 3 1 2
7 1 4 2 0 2
6 6 6 3 0 1
9 5 4 2 1 2
6 5 5 0 1 2
7 4 5 2 0 2
4 4 4 2 0 2
8 5 4 2 0 0
6 5 5 2 0 2
5 4 2 2 0 2
7 4 6 3 0 2
8 7 5 3 2 1
7 7 4 3 2 1
7 5 2 1 0 2
7 5 6 2 1 1
7 2 3 2 0 1
8 3 5 3 0 1
8 6 4 3 1 2
4 5 5 2 1 0
7 5 6 3 1 2
7 2 4 1 0 1
7 2 6 3 0 2
7 5 3 3 1 1
5 2 5 3 0 2
4 3 3 0 0 1
6 4 5 3 1 2
9 8 5 3 2 1
4 4 4 0 0 2
4 2 5 1 0 1
3 3 5 0 0 1
8 5 5 3 0 0
3 4 5 0 0 1
8 5 4 0 0 2
9 5 6 2 0 1
8 8 5 3 1 2
8 6 5 3 1 2
7 5 6 1 1 2
8 9 6 3 1 0
8 2 4 1 0 1
7 3 5 3 1 1
5 6 4 2 0 1
7 2 6 3 0 1
7 3 4 2 0 1
4 1 4 0 0 1
6 2 2 0 0 1
6 1 5 3 1 0
6 1 4 1 0 1
6 2 4 0 0 2
4 5 3 0 0 0
5 6 2 1 1 0
3 6 6 2 2 0
8 2 4 1 0 0
7 2 4 1 0 0
6 4 3 0 0 1
4 5 1 0 0 0
4 2 5 1 0 1
8 1 6 3 1 2
4 1 4 1 0 1
8 1 5 0 0 0
6 5 4 3 1 1
4 0 3 0 0 0
7 4 5 3 1 2
8 5 6 3 0 2
4 3 5 3 0 1
5 7 5 3 0 2
9 6 5 3 0 2
2 2 1 0 0 0
6 5 4 2 0 2
6 6 6 3 1 1
4 3 4 0 1 1
5 2 3 0 0 0
3 2 5 1 1 0
6 6 5 3 0 1
8 6 5 2 0 1
8 3 5 3 0 1
4 3 4 3 1 2
7 4 5 3 1 0
5 1 6 0 0 1
3 1 4 0 0 1
9 3 6 3 0 1
5 2 6 1 0 1
5 3 4 0 0 0
9 5 6 2 1 2
8 1 4 0 0 1
4 4 5 1 0 0
9 3 2 1 0 2
4 2 2 0 1 0
5 2 2 0 0 1
6 3 5 0 0 1
4 4 4 1 1 1
3 3 6 2 1 0
3 4 5 1 0 1
8 3 6 2 0 2
6 1 5 1 0 0
9 2 6 1 0 0
9 3 5 1 1 1
8 1 6 1 0 0
8 9 6 3 0 2
4 3 2 2 0 1
8 4 5 1 0 2
8 6 6 3 1 2
8 1 4 2 1 2
8 4 6 2 0 1
7 5 6 3 1 1
5 3 3 1 0 1
9 3 6 3 0 1
6 2 4 0 0 2
9 5 6 2 0 1
7 2 5 0 0 2
8 2 4 0 0 0
8 5 6 3 0 0
6 2 5 3 1 2
8 5 6 2 0 2
7 4 2 1 0 2
8 4 6 0 0 2
5 0 3 0 0 0
6 2 6 1 1 0
6 0 4 0 1 0
6 3 5 1 0 1
5 1 3 0 0 1
6 2 6 1 0 2
6 2 4 2 0 2
8 3 4 1 0 1
4 2 3 0 0 1
8 1 3 3 0 0
5 4 3 0 0 1
6 5 5 2 0 1
5 1 5 1 0 2
5 4 5 3 0 1
9 7 4 3 1 1
5 1 2 0 0 2
7 4 6 3 1 1
7 3 4 0 0 1
7 4 4 3 0 0
9 4 5 3 0 1
6 5 4 2 0 1
7 3 3 0 1 1
4 4 6 3 2 1
7 3 5 1 1 1
4 1 1 0 0 0
7 4 3 2 0 1
3 5 3 0 0 1
5 2 3 1 0 1
7 4 4 2 0 2
8 5 4 3 1 2
9 7 6 3 0 1
9 8 6 3 1 1
6 4 5 1 1 2
7 5 2 2 0 0
2 1 0 0 0 0
5 2 3 0 1 0
6 0 5 3 0 1
7 6 5 3 1 0
6 1 4 1 0 0
8 4 5 2 0 2
9 4 6 3 1 2
6 2 3 0 0 1
3 4 5 1 0 1
9 3 6 3 1 2
8 2 1 0 0 1
6 1 4 1 0 1
6 3 4 0 0 2
8 6 1 2 0 0
5 2 2 0 1 2
9 8 6 3 0 2
8 6 6 3 0 2
6 1 5 1 1 0
8 5 5 3 0 0
6 3 6 1 1 1
7 4 6 3 1 2
4 4 4 3 0 1
7 2 5 0 1 0
4 0 1 0 0 0
6 4 5 3 1 0
8 5 5 2 2 0
7 6 3 3 0 0
5 2 3 1 0 1
8 5 6 2 1 0
8 2 5 1 2 0
9 4 6 3 0 2
8 3 5 1 1 1
4 0 0 0 0 0
7 5 6 0 1 1
7 7 5 3 0 2
9 6 5 3 1 2
7 5 5 3 0 2
7 4 5 2 0 1
5 1 2 0 1 0
8 4 5 2 1 2
7 3 5 1 0 2
5 3 5 3 0 0
8 7 3 0 0 1
9 3 4 3 0 1
8 3 6 3 1 0
6 5 3 1 0 2
2 3 2 2 0 0
9 6 6 3 1 1
9 7 5 3 2 2
4 3 3 0 1 2
7 2 5 1 0 1
9 6 5 1 0 1
7 5 4 2 0 0
8 1 6 3 1 2
5 2 3 0 0 0
6 3 3 1 0 2
6 2 4 1 0 2
3 3 4 2 0 1
4 1 3 0 0 2
8 3 6 3 1 2
6 7 5 1 1 1
5 3 4 1 0 1
7 4 4 0 0 2
7 1 5 1 0 1
5 2 6 0 0 2
7 2 5 3 0 0
8 7 4 3 2 2
6 1 5 0 0 0
6 1 3 1 1 2
8 8 5 3 1 1
6 4 5 3 0 0
8 2 5 0 0 2
8 3 5 2 0 2
7 3 4 0 0 2
6 3 5 2 1 2
3 3 6 0 0 0
8 2 5 2 1 2
8 4 5 0 1 1
8 5 6 3 1 2
7 5 4 3 0 0
5 2 4 3 1 0

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	'Gwilym Jenkins' @ jenkins.wessa.net

\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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265001&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265001&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265001&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	'Gwilym Jenkins' @ jenkins.wessa.net

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	3.86	2734	11	0.99	675	8	0.98
2	1.33	1120	181	0.72	471	121	0.59
3	1.67	1282	103	0.85	591	62	0.81
4	-1.37	0	963	-1	0	507	-1
5	-2.42	0	1708	-1	0	705	-1
6	-1.76	0	1241	-1	0	705	-1

\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 & 3.86 & 2734 & 11 & 0.99 & 675 & 8 & 0.98 \tabularnewline
2 & 1.33 & 1120 & 181 & 0.72 & 471 & 121 & 0.59 \tabularnewline
3 & 1.67 & 1282 & 103 & 0.85 & 591 & 62 & 0.81 \tabularnewline
4 & -1.37 & 0 & 963 & -1 & 0 & 507 & -1 \tabularnewline
5 & -2.42 & 0 & 1708 & -1 & 0 & 705 & -1 \tabularnewline
6 & -1.76 & 0 & 1241 & -1 & 0 & 705 & -1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265001&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]3.86[/C][C]2734[/C][C]11[/C][C]0.99[/C][C]675[/C][C]8[/C][C]0.98[/C][/ROW]
[ROW][C]2[/C][C]1.33[/C][C]1120[/C][C]181[/C][C]0.72[/C][C]471[/C][C]121[/C][C]0.59[/C][/ROW]
[ROW][C]3[/C][C]1.67[/C][C]1282[/C][C]103[/C][C]0.85[/C][C]591[/C][C]62[/C][C]0.81[/C][/ROW]
[ROW][C]4[/C][C]-1.37[/C][C]0[/C][C]963[/C][C]-1[/C][C]0[/C][C]507[/C][C]-1[/C][/ROW]
[ROW][C]5[/C][C]-2.42[/C][C]0[/C][C]1708[/C][C]-1[/C][C]0[/C][C]705[/C][C]-1[/C][/ROW]
[ROW][C]6[/C][C]-1.76[/C][C]0[/C][C]1241[/C][C]-1[/C][C]0[/C][C]705[/C][C]-1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265001&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265001&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	3.86	2734	11	0.99	675	8	0.98
2	1.33	1120	181	0.72	471	121	0.59
3	1.67	1282	103	0.85	591	62	0.81
4	-1.37	0	963	-1	0	507	-1
5	-2.42	0	1708	-1	0	705	-1
6	-1.76	0	1241	-1	0	705	-1

Pearson correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0)	0.949 (0.004)	0.957 (0.003)
(Ps-Ns)/(Ps+Ns)	0.949 (0.004)	1 (0)	0.999 (0)
(Pc-Nc)/(Pc+Nc)	0.957 (0.003)	0.999 (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) & 0.949 (0.004) & 0.957 (0.003) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.949 (0.004) & 1 (0) & 0.999 (0) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.957 (0.003) & 0.999 (0) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265001&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]0.949 (0.004)[/C][C]0.957 (0.003)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.949 (0.004)[/C][C]1 (0)[/C][C]0.999 (0)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.957 (0.003)[/C][C]0.999 (0)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265001&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265001&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)	0.949 (0.004)	0.957 (0.003)
(Ps-Ns)/(Ps+Ns)	0.949 (0.004)	1 (0)	0.999 (0)
(Pc-Nc)/(Pc+Nc)	0.957 (0.003)	0.999 (0)	1 (0)

Kendall tau rank correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0.003)	0.894 (0.016)	0.894 (0.016)
(Ps-Ns)/(Ps+Ns)	0.894 (0.016)	1 (0.01)	1 (0.01)
(Pc-Nc)/(Pc+Nc)	0.894 (0.016)	1 (0.01)	1 (0.01)

\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 (0.003) & 0.894 (0.016) & 0.894 (0.016) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.894 (0.016) & 1 (0.01) & 1 (0.01) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.894 (0.016) & 1 (0.01) & 1 (0.01) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265001&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 (0.003)[/C][C]0.894 (0.016)[/C][C]0.894 (0.016)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.894 (0.016)[/C][C]1 (0.01)[/C][C]1 (0.01)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.894 (0.016)[/C][C]1 (0.01)[/C][C]1 (0.01)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265001&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265001&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 (0.003)	0.894 (0.016)	0.894 (0.016)
(Ps-Ns)/(Ps+Ns)	0.894 (0.016)	1 (0.01)	1 (0.01)
(Pc-Nc)/(Pc+Nc)	0.894 (0.016)	1 (0.01)	1 (0.01)

Parameters (Session):

par1 = 1 2 3 4 5 ;

Parameters (R input):

par1 = 1 2 3 4 5 ;

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