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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

Wed, 06 Dec 2017 13:41:01 +0100

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/2017/Dec/06/t1512564692mlnx60crxmix42v.htm/, Retrieved Tue, 14 May 2024 21:42:41 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=308605, Retrieved Tue, 14 May 2024 21:42:41 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Dataset 1 survey scores

Estimated Impact

126

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

-       [Survey Scores] [Survey Scores Rank] [2017-12-06 12:41:01] [dd1b1eac6490c5f5f771b5814b2d0001] [Current]

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Dataseries X:

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Histogram

Boxplots

4	3	4	3	3	4	5	5	1	1	1	3	3	2	3	2	3	2	3	4	4	4	4	3	3	4	3	3	3	3	3	4	1	3	3	5	5	5	5	5	5	5	5	5
3	4	4	3	4	5	5	5	4	4	5	5	5	4	4	4	4	4	4	4	4	4	4	3	4	5	4	4	3	4	5	5	5	3	5	5	4	4	2	3	5	5	3	5
4	4	4	3	4	5	4	5	2	4	3	4	4	4	4	4	4	4	5	5	5	4	4	4	5	5	5	4	4	4	5	5	4	4	4	4	4	4	3	4	4	4	4	5
4	4	4	5	4	3	5	5	3	3	3	4	4	4	4	5	5	4	4	5	5	5	4	4	2	4	5	5	4	3	3	3	4	4	4	4	3	3	4	4	4	4	3	5
4	4	2	3	2	5	5	3	2	4	2	3	3	5	5	4	4	4	4	2	3	4	4	4	5	5	3	4	4	4	2	5	5	4	5	5	5	4	3	5	3	3	3	4
4	4	4	4	4	5	5	5	3	4	3	3	3	4	4	4	4	4	5	4	4	4	4	5	3	5	3	5	4	4	4	5	5	4	5	4	4	5	4	5	5	4	4	5
4	5	4	3	4	5	4	5	2	3	4	3	4	3	4	4	4	5	5	4	5	4	4	4	4	5	4	4	4	5	4	5	4	4	5	5	5	4	2	5	5	5	5	4
4	4	4	4	4	4	2	2	1	4	4	3	3	4	3	4	4	4	4	4	4	5	5	4	4	5	5	5	4	4	4	5	4	4	5	5	4	5	1	5	5	5	5	4
4	3	4	4	4	4	4	4	2	3	3	3	3	2	3	3	3	3	4	4	4	3	3	3	4	4	4	4	4	3	3	4	4	4	5	4	4	4	3	4	4	3	4	3
4	4	4	4	4	4	4	4	2	3	3	3	4	3	4	2	3	5	4	4	4	5	4	3	4	5	4	5	4	3	5	3	4	4	5	4	4	4	2	4	4	4	5	3
4	4	4	3	4	4	4	4	3	3	3	3	3	3	3	4	3	4	4	4	4	4	4	4	3	3	4	4	4	4	3	4	4	4	4	5	4	4	4	3	4	4	3	4
4	4	4	4	4	3	3	4	3	3	3	4	3	3	4	4	4	4	4	5	4	4	4	4	4	4	5	4	3	4	4	5	4	4	3	5	3	4	3	4	3	4	4	5
4	4	3	4	3	4	4	3	3	4	3	4	3	4	4	4	3	4	4	5	5	3	4	4	4	5	5	3	4	4	3	5	4	4	4	4	5	4	4	4	4	3	4	4
4	4	4	4	4	4	4	4	3	3	3	4	4	4	5	4	4	4	4	4	4	3	4	4	4	5	4	4	4	4	4	5	4	4	5	5	3	4	4	4	4	4	4	4
4	3	4	2	4	4	4	3	1	3	3	4	2	4	2	3	3	4	4	5	5	5	4	3	2	4	5	4	3	4	3	3	4	4	4	4	3	3	3	4	5	4	5	3
5	5	5	5	5	4	5	4	3	4	4	5	4	4	4	3	4	3	4	4	4	4	4	3	2	4	5	5	4	4	5	4	5	5	3	4	3	4	4	3	4	3	4	5
4	4	4	4	4	4	4	3	3	3	4	2	2	4	4	4	4	4	4	3	4	4	4	4	4	5	4	4	4	4	3	4	3	4	5	5	4	4	4	4	4	5	5	5
5	5	5	5	5	5	4	4	3	4	4	4	3	4	3	4	4	4	4	4	4	4	3	4	4	3	4	4	4	4	4	3	4	5	5	5	5	5	1	5	4	3	3	5
5	5	5	5	3	5	5	4	5	5	5	3	3	4	3	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	4	5
4	5	4	4	4	4	3	3	2	4	4	3	3	4	4	2	2	4	3	2	3	3	4	4	2	3	2	4	3	3	5	4	4	4	3	4	4	4	3	3	3	5	5	3
5	5	4	4	4	4	4	4	3	4	3	3	4	4	3	3	3	4	4	4	4	4	4	4	3	4	5	3	4	4	4	4	4	5	5	4	3	3	3	4	4	4	4	4
2	2	3	2	4	2	3	2	3	3	3	3	2	4	4	3	3	3	3	2	2	3	3	4	3	4	3	4	3	3	2	4	4	2	4	4	3	3	3	3	4	3	4	3
4	4	4	4	4	4	5	5	1	3	3	2	3	3	3	4	3	4	4	2	2	2	3	4	5	5	2	4	4	3	5	5	5	4	5	5	4	4	3	3	3	2	2	3
4	4	3	2	3	4	5	4	2	4	3	3	2	4	3	4	4	2	3	5	4	4	3	5	3	4	4	5	3	4	4	3	5	4	3	4	5	4	3	2	4	4	5	2
4	4	3	3	4	4	4	3	3	4	4	4	4	3	4	4	3	4	4	3	3	3	3	4	3	4	3	4	4	3	1	3	5	4	4	4	4	4	5	4	3	4	4	4
4	3	3	4	4	4	2	4	3	3	3	3	2	3	2	2	2	3	4	4	4	4	4	3	3	4	4	4	4	3	3	3	4	3	4	4	4	4	4	4	4	5	4	4
4	5	5	4	5	3	4	5	3	4	3	3	4	4	4	3	4	5	4	5	4	5	5	4	4	3	5	5	4	4	4	3	3	4	4	5	5	4	3	5	5	5	3	5
4	3	5	5	4	4	3	4	2	3	4	4	3	3	5	5	5	5	4	5	5	4	5	5	4	4	4	5	4	4	4	5	5	4	5	5	4	4	2	4	3	3	4	3
4	4	4	3	4	3	4	4	2	3	3	3	3	3	3	4	3	3	4	4	4	4	4	4	4	4	4	4	3	4	4	5	5	4	5	5	4	4	1	5	4	5	5	4
4	3	4	3	4	4	3	4	2	3	4	4	3	3	4	3	3	3	4	3	4	4	3	4	4	4	4	4	3	3	4	4	4	4	3	4	4	3	3	4	3	3	4	4
4	4	4	4	3	5	4	4	3	4	4	3	5	5	4	4	4	4	4	5	5	5	4	5	5	5	5	5	4	4	5	5	5	4	1	4	4	2	2	1	4	4	3	4
3	3	4	2	4	4	3	4	1	3	1	2	2	2	4	3	3	4	3	3	4	4	4	4	4	5	3	4	3	4	2	5	3	3	5	5	4	5	5	4	5	5	5	4
3	3	3	3	2	4	2	4	1	3	2	1	2	3	1	1	1	4	2	5	5	1	1	1	5	1	4	3	5	3	2	3	3	3	5	5	5	3	1	5	5	5	5	4
5	5	4	4	4	5	5	4	4	5	3	2	1	2	5	3	5	5	5	2	3	2	2	5	5	5	3	4	5	5	5	5	5	5	3	5	4	4	5	5	5	2	4	4
4	3	3	3	4	5	3	4	2	3	3	4	4	4	4	2	2	4	4	2	2	4	2	4	4	5	2	3	3	4	5	5	3	4	5	3	3	3	4	2	4	5	5	5
3	3	4	4	4	4	3	4	3	4	4	3	4	4	4	3	3	4	4	4	4	3	4	3	3	5	4	4	4	4	3	4	4	3	4	4	4	4	3	4	4	5	3	4
2	2	3	3	2	3	3	3	4	3	3	3	3	3	2	4	4	3	3	1	2	1	3	3	4	4	1	2	3	3	4	4	4	2	4	4	3	3	3	4	3	3	3	4
4	4	4	3	3	4	5	3	2	2	3	4	4	3	3	2	2	3	3	5	4	3	3	3	3	4	5	5	4	4	3	4	4	4	4	4	3	3	3	3	3	4	3	3
3	3	3	3	3	4	3	3	2	2	2	3	2	3	3	3	3	3	3	2	3	4	3	3	4	3	3	4	3	3	3	4	4	3	4	4	4	4	2	3	3	3	4	3
3	3	4	4	4	4	4	4	4	4	3	4	4	3	3	3	3	3	3	4	4	3	3	3	3	3	4	3	3	3	3	3	3	3	4	4	4	4	4	4	4	3	3	4
4	3	5	5	5	4	5	5	2	4	4	4	3	4	4	4	4	3	4	5	4	5	4	2	3	4	3	5	3	4	2	4	3	4	5	3	2	4	3	2	5	5	4	3
5	4	4	5	4	4	3	4	2	3	4	2	3	2	4	4	3	4	4	5	4	4	3	4	5	5	3	4	2	4	5	5	5	5	4	4	3	4	1	4	4	4	5	3
3	3	5	3	3	4	2	3	2	4	4	2	2	2	3	2	2	3	3	4	4	3	2	2	4	3	3	1	3	3	4	5	4	3	3	5	4	4	2	3	4	4	3	3
4	4	5	3	4	4	2	5	1	4	3	3	2	4	4	4	4	4	5	5	5	4	3	5	5	5	5	4	4	5	5	4	5	4	5	5	4	5	4	5	4	5	5	5
4	4	4	4	4	4	3	4	3	4	3	4	4	4	4	3	3	5	4	5	4	3	3	4	4	4	5	4	4	4	4	3	3	4	4	4	4	4	3	4	4	3	4	4
4	3	3	3	3	2	2	1	3	3	3	4	2	2	4	4	4	5	4	3	3	3	4	4	5	5	4	3	4	4	5	5	5	4	4	4	3	3	2	3	3	2	2	4
5	4	5	5	4	4	3	5	5	4	5	4	4	5	5	3	4	4	5	5	5	4	5	5	4	5	5	5	4	4	4	5	5	5	5	5	5	4	4	5	4	5	5	4
4	4	4	3	3	3	2	3	1	2	2	2	3	4	3	4	4	3	4	5	4	5	4	3	3	5	5	5	4	3	4	5	4	4	5	5	5	5	3	5	5	5	4	5
4	3	5	4	5	5	3	2	3	4	4	4	5	5	5	2	2	4	3	5	5	4	5	3	4	5	3	5	4	5	4	5	4	4	5	5	5	5	4	5	5	5	5	5
4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	3	4	3	4	3	3	4	4	3	4	3	4	4	3	4	4	4	3	4	4	4	3	3
5	4	5	5	5	4	4	4	5	5	4	5	5	4	4	5	5	5	5	4	5	5	5	4	5	5	4	5	5	5	5	5	5	5	4	5	4	4	4	4	5	5	5	4
3	2	3	3	3	2	2	2	3	3	3	3	2	2	3	3	3	4	3	3	2	3	3	4	4	4	3	4	3	3	4	4	4	3	4	4	4	4	4	4	3	3	4	4
4	4	5	5	4	3	3	4	1	2	3	3	4	4	3	3	3	4	4	5	5	5	4	4	4	4	5	5	4	3	3	2	3	4	4	4	4	4	4	4	4	4	4	4
4	4	4	3	3	4	3	4	2	4	2	4	3	4	3	4	4	4	4	4	4	4	4	3	2	5	5	5	4	3	2	3	3	4	5	4	4	4	3	4	4	5	5	5
4	4	4	3	4	4	4	4	2	3	3	2	3	4	4	4	3	4	4	5	5	3	2	4	3	5	4	4	4	4	4	4	4	4	2	4	4	4	3	3	4	4	4	4
4	4	3	4	4	4	4	4	2	3	4	3	3	4	3	4	4	4	4	3	4	5	5	5	4	5	4	5	4	5	3	5	5	4	4	4	4	5	4	5	4	4	4	4
4	4	4	4	4	5	4	4	2	3	4	3	3	4	4	4	4	4	4	4	4	4	4	3	4	4	4	4	4	4	4	3	4	4	3	4	3	4	3	4	3	3	3	3
4	5	4	3	4	4	5	4	3	4	4	5	3	4	5	4	4	3	4	3	3	4	4	4	5	4	3	4	4	4	5	5	5	4	5	5	4	3	4	4	3	4	4	5
2	2	3	4	3	2	2	3	1	2	3	2	2	2	4	3	2	4	3	4	4	3	2	3	2	3	3	3	3	4	2	4	2	2	5	5	5	4	5	4	3	4	2	4
4	4	5	4	4	5	5	5	4	4	4	4	4	4	3	4	4	4	4	5	5	5	4	4	4	5	4	4	4	4	4	5	5	4	5	5	5	5	4	5	5	5	5	5
4	4	3	2	3	3	4	3	3	3	3	3	3	3	4	3	3	4	4	4	4	4	4	4	4	3	3	3	3	2	3	5	4	4	5	4	4	4	4	4	4	3	4	4
4	4	4	3	2	3	4	3	2	3	3	4	3	3	3	3	3	4	4	4	4	4	4	4	4	4	3	4	4	3	4	4	4	4	4	4	4	4	4	4	4	4	5	4
4	4	4	3	2	3	4	4	3	3	3	4	3	3	4	4	4	4	4	4	4	4	3	4	4	4	3	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	5	4
5	5	5	5	5	5	4	5	3	4	4	4	3	3	4	3	3	4	5	5	5	4	5	3	2	5	5	5	4	4	4	5	5	5	5	4	4	3	3	5	5	4	4	4
4	4	3	2	3	4	1	3	3	2	3	2	2	3	3	3	3	3	4	2	1	2	2	4	2	5	2	3	2	4	1	5	5	4	4	2	3	4	2	4	1	2	4	4
4	5	4	4	5	4	4	4	3	3	4	4	4	4	3	3	3	4	4	5	5	4	4	4	4	4	5	5	4	4	4	5	4	4	4	4	4	3	3	4	5	5	5	4
5	5	4	3	3	4	4	3	3	4	3	4	3	4	2	3	4	3	4	1	2	3	3	4	4	4	2	3	3	4	4	4	4	5	4	4	3	4	1	3	3	2	3	3
5	4	5	4	4	4	4	5	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	5	3	4
5	5	5	5	5	5	2	3	2	3	4	5	4	4	3	4	4	5	5	5	5	5	5	5	2	5	5	5	5	5	5	5	5	5	4	4	4	4	5	5	5	2	2	4
2	2	3	3	4	3	2	4	1	3	2	3	4	5	3	4	3	5	3	5	4	4	3	3	2	4	3	3	3	2	2	4	4	3	4	4	4	3	2	4	4	4	3	4
2	2	3	3	3	2	2	2	1	1	3	3	2	3	2	2	2	2	2	3	3	3	3	4	4	5	3	2	3	3	4	5	5	2	4	3	4	4	3	3	4	4	2	4
4	4	4	4	4	3	5	4	1	2	3	3	4	3	4	3	3	3	4	3	4	2	1	4	3	3	3	2	3	3	2	3	4	4	3	4	5	4	3	4	5	5	5	4
5	5	4	4	4	5	5	5	4	4	4	4	3	4	4	4	4	5	5	5	5	4	4	4	5	5	5	5	5	5	5	5	5	5	4	4	4	5	2	5	5	5	5	5
5	5	4	4	4	5	5	5	5	5	4	4	4	4	4	3	3	4	4	5	5	5	3	5	5	5	5	5	5	5	4	5	4	5	4	4	4	4	4	4	5	3	5	4
4	3	4	4	4	4	2	4	2	3	3	4	3	4	4	4	3	4	4	3	4	4	4	4	4	4	4	4	4	4	4	4	4	4	3	4	4	3	4	4	4	5	5	4
3	3	4	3	3	2	3	3	3	3	2	2	3	4	3	3	2	4	3	4	4	3	3	4	4	4	4	3	3	4	3	5	5	3	5	5	5	4	2	4	4	4	3	4
4	5	3	3	3	3	4	3	3	4	4	3	3	3	2	2	3	3	3	3	3	3	3	3	3	4	4	3	3	3	3	4	3	4	4	3	3	3	3	4	3	3	3	3
4	3	5	3	4	4	3	5	1	2	3	3	2	3	3	4	4	4	4	5	5	4	5	4	3	5	4	5	4	4	3	4	4	4	5	4	5	5	2	4	4	5	5	3
4	4	4	4	4	4	3	3	3	4	3	2	4	4	3	2	3	4	4	1	3	1	1	1	3	3	1	2	3	3	3	3	3	4	3	3	3	3	3	3	3	3	1	5
4	4	4	4	4	4	4	4	3	3	3	3	4	4	5	4	4	5	4	5	4	3	4	4	4	4	5	4	3	4	4	5	5	4	5	5	3	3	2	4	3	2	2	4
4	4	3	3	2	4	3	4	1	5	4	2	4	3	4	2	3	2	4	5	5	4	4	3	1	3	5	5	4	3	2	4	5	3	5	5	5	5	3	4	4	5	5	4
2	3	3	4	4	4	4	4	4	4	4	4	4	4	2	3	3	4	4	4	4	4	4	3	2	4	3	3	3	3	4	4	5	3	4	4	4	3	4	4	4	1	1	3
4	4	4	3	3	4	5	3	3	2	4	3	3	3	3	3	3	4	3	4	4	4	4	3	3	5	4	4	3	3	5	5	4	4	3	3	4	4	4	4	3	4	4	4
5	5	5	5	5	4	5	5	3	3	2	4	3	3	5	3	3	5	4	4	4	5	5	5	5	5	4	4	4	5	5	5	5	5	5	5	5	5	3	5	5	5	5	1
5	5	5	4	4	5	5	5	3	4	3	4	4	4	5	4	4	4	5	5	5	4	5	3	2	5	5	5	4	4	4	4	4	5	5	4	4	4	4	4	5	5	4	4
4	4	4	4	3	4	3	3	2	3	4	4	4	5	3	2	2	4	4	5	4	4	4	3	4	5	3	4	3	4	4	5	4	4	5	2	3	3	5	4	2	2	3	5
4	4	4	4	4	4	4	4	2	4	3	3	3	4	4	4	3	3	4	4	4	5	4	4	3	4	4	4	4	4	4	4	3	4	4	5	4	4	3	5	5	5	5	4
4	4	4	3	4	4	3	3	2	3	3	4	3	4	4	3	3	4	4	4	4	3	3	4	4	4	3	3	3	4	4	4	4	4	3	4	4	4	3	4	4	4	4	4
3	3	4	3	4	3	2	3	1	2	2	3	3	2	4	3	2	2	3	4	4	3	2	3	4	4	4	4	3	3	2	3	2	3	4	4	4	4	3	4	5	4	4	4
4	4	5	4	5	4	4	4	4	3	3	3	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	5	5	4	3	4	4	4	4	4	4	4	4	4
4	4	5	5	4	4	4	4	3	3	4	3	4	4	4	3	3	4	4	5	4	3	4	4	4	5	5	4	4	4	4	5	5	4	4	4	4	4	3	4	4	4	4	4
4	4	5	4	5	4	3	4	1	1	4	3	4	4	3	4	3	5	4	5	5	4	5	4	4	5	4	5	4	5	5	4	4	4	5	5	4	5	3	4	5	5	5	4
4	4	4	4	4	4	4	4	3	4	4	4	4	4	4	3	3	4	4	4	4	5	4	5	4	4	5	4	4	4	4	5	4	4	4	4	4	4	3	4	4	5	4	4
4	4	4	3	3	4	2	2	2	2	4	4	3	3	4	5	5	4	4	2	3	2	3	4	4	4	2	3	4	4	4	4	5	4	4	4	4	4	4	4	4	4	4	2
3	4	4	4	4	3	3	3	2	3	2	2	2	2	3	2	2	2	2	2	3	2	2	3	5	3	3	4	3	3	4	5	5	3	4	4	4	4	2	4	3	3	4	5
3	2	4	3	4	3	2	4	2	2	4	4	2	3	2	4	4	5	3	5	5	3	4	5	5	5	5	5	4	3	4	4	4	3	5	5	5	4	5	5	5	5	4	4
5	5	5	5	5	5	5	5	3	4	2	4	2	3	3	1	3	4	4	4	5	5	5	4	5	5	5	5	5	5	4	4	4	5	5	5	5	5	5	4	4	4	5	4
3	3	4	2	3	2	3	3	4	3	4	4	2	3	3	2	2	3	3	3	3	2	3	5	2	5	3	3	3	3	4	5	5	3	4	4	4	4	3	4	3	4	4	3
4	3	4	3	4	3	4	4	2	3	3	4	3	3	4	3	4	3	4	4	4	4	3	4	3	4	4	4	3	4	4	4	3	4	4	4	4	4	5	3	4	4	3	4
4	4	5	5	4	4	4	4	4	4	4	4	4	4	4	2	2	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	5	4	4	4	4	4	3	4	4	4	4	4
4	4	4	3	3	4	4	3	3	4	3	2	3	1	2	2	2	4	2	4	4	5	4	5	4	4	5	5	3	3	3	4	4	4	5	4	4	4	3	4	4	4	5	3
4	3	4	4	4	4	3	3	2	2	2	2	3	3	3	2	3	3	4	4	4	4	4	4	3	4	4	3	3	3	3	3	3	4	4	4	4	4	3	3	3	3	3	4
4	4	4	3	3	3	4	4	2	3	3	3	3	2	2	4	4	3	3	1	4	5	5	5	1	5	3	4	4	4	4	3	3	4	4	4	4	4	2	5	5	5	5	5
4	4	4	4	4	2	4	3	2	2	2	2	2	2	2	4	4	4	4	1	4	4	4	4	4	4	4	4	4	4	4	3	3	4	4	4	4	4	2	4	4	4	4	4
4	4	5	4	4	5	4	4	2	2	4	4	4	4	3	4	4	4	4	5	5	4	4	5	4	4	5	4	4	5	4	4	3	5	5	5	4	4	3	4	4	4	4	4
4	4	5	4	4	4	5	5	3	3	4	4	4	4	5	4	4	4	4	5	5	5	4	4	4	5	5	5	5	5	4	4	5	4	5	5	5	4	2	5	4	4	4	5
4	4	4	4	4	3	3	4	1	2	3	3	3	3	3	3	3	4	4	5	5	4	5	4	4	4	4	5	4	4	1	4	4	4	4	4	4	4	1	4	4	4	4	4
4	4	4	4	4	4	2	3	4	4	4	2	3	4	2	2	2	4	4	4	4	4	5	5	5	4	5	5	4	4	4	5	5	4	5	5	5	4	2	4	4	4	5	5
4	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3
4	4	3	4	3	5	4	4	2	3	3	4	3	3	4	3	4	4	4	4	4	4	3	3	2	4	3	4	4	4	4	3	4	4	4	3	4	4	4	4	4	4	4	4
2	2	3	2	2	1	1	2	3	3	3	2	2	3	3	3	3	3	2	1	2	2	2	2	3	4	3	3	2	2	3	4	3	2	3	4	3	4	3	3	2	3	3	4
2	3	4	4	4	1	2	3	2	1	3	4	2	4	4	2	3	4	3	2	3	1	2	4	2	5	4	2	3	4	4	4	2	2	5	4	4	4	4	4	5	4	1	5
4	4	4	4	4	4	4	3	2	3	2	2	2	2	2	2	2	3	3	2	2	2	3	3	3	4	2	4	2	3	3	4	5	4	4	4	4	3	3	4	2	2	2	4
4	4	4	4	4	4	4	3	2	3	2	2	2	2	2	2	2	3	3	2	2	2	3	3	3	4	2	4	2	3	3	4	5	4	4	4	4	3	3	4	2	2	2	4
4	5	5	4	4	4	4	4	3	3	3	3	4	4	4	3	3	3	4	5	5	5	5	3	4	5	5	5	3	4	4	3	3	4	5	4	5	5	5	5	5	5	4	5
5	5	4	4	4	4	5	5	2	3	2	2	3	3	4	4	3	4	4	3	4	4	2	4	5	4	3	5	4	4	1	5	5	5	5	5	5	5	4	5	5	4	4	4
5	5	5	5	5	5	5	5	3	4	3	5	3	4	5	5	5	5	5	4	5	5	5	4	4	5	5	4	5	4	5	4	5	5	5	5	4	4	4	4	5	4	4	4
3	2	4	2	2	3	2	3	1	1	3	2	2	2	3	3	3	2	3	3	4	2	1	2	4	5	4	3	3	3	2	3	4	2	3	2	2	2	2	2	3	2	1	4
3	2	2	3	2	2	2	3	1	1	2	2	1	1	4	4	4	4	2	2	2	3	3	4	4	4	2	3	2	3	4	5	5	3	5	5	5	5	4	4	3	3	3	5
4	4	3	2	4	4	4	3	3	4	4	4	4	4	4	3	3	4	3	4	3	4	4	4	5	3	4	3	4	4	4	4	4	4	3	4	3	4	4	4	3	4	3	4
4	4	4	3	4	4	4	4	3	3	4	4	4	4	4	2	2	4	4	4	4	4	4	3	4	4	4	4	4	4	2	4	3	4	4	4	4	3	3	4	4	4	4	5
4	4	4	3	4	5	3	4	3	3	4	4	4	3	4	4	4	4	4	4	4	4	4	3	2	4	4	5	4	4	3	3	3	4	4	4	4	4	4	4	4	5	5	4
2	2	2	2	2	2	2	3	2	2	2	1	1	2	3	3	1	2	2	4	3	1	1	3	3	3	3	2	3	2	3	4	4	2	4	4	3	3	2	3	4	2	2	3
3	2	2	2	2	2	3	3	2	2	2	3	2	2	3	3	2	3	3	4	4	2	3	2	3	3	2	3	3	3	3	4	4	2	4	3	3	3	3	4	3	2	2	3
3	3	3	2	3	2	2	2	2	2	4	3	3	3	3	3	2	3	2	2	2	2	2	3	4	4	3	3	3	3	4	4	4	3	4	3	3	3	3	2	2	4	4	4
5	4	3	4	4	3	5	5	2	3	4	4	4	4	3	3	3	4	4	2	3	4	4	4	4	4	3	5	4	4	4	4	5	4	4	4	3	4	4	3	4	5	5	5
4	4	4	4	4	5	5	3	4	5	3	3	4	4	3	3	3	3	4	3	4	5	5	4	3	4	4	5	3	4	4	4	5	4	5	4	5	5	3	4	4	4	4	5
4	5	5	4	4	5	5	4	3	3	4	3	3	3	2	3	3	4	4	2	3	3	2	4	4	4	2	4	4	4	3	4	5	5	5	5	3	3	4	3	3	3	3	4
3	3	4	2	3	2	2	3	1	2	2	2	2	2	3	2	2	3	3	4	4	4	3	2	4	4	4	4	3	4	3	5	5	3	5	3	2	2	1	4	4	4	4	3
3	3	4	2	4	3	4	2	3	2	3	4	3	2	3	3	3	4	3	4	5	3	4	3	3	4	3	3	2	3	2	3	3	4	3	4	3	3	3	4	4	4	3	4
1	2	3	2	4	3	2	2	4	3	3	2	4	2	2	2	4	4	3	2	4	2	2	3	3	4	4	3	3	2	4	2	4	1	4	2	3	3	2	2	4	4	3	2
4	4	4	2	4	3	3	1	2	3	4	3	3	4	3	2	2	4	3	4	4	4	3	4	1	4	4	4	2	3	4	4	4	4	4	5	4	4	3	4	4	3	3	4
5	5	4	4	4	4	4	4	4	4	4	4	4	4	4	3	3	4	4	2	3	3	3	3	3	4	3	4	4	4	4	4	4	5	4	4	4	4	4	4	4	4	4	4
3	2	3	2	2	2	3	2	1	3	2	2	2	2	4	4	3	3	3	1	2	3	2	4	5	2	2	2	2	2	3	5	5	3	4	5	4	4	4	3	3	4	3	3
3	3	5	4	4	4	3	4	1	2	4	3	2	4	3	3	2	4	4	3	3	3	3	4	4	4	2	3	4	4	3	5	5	3	4	4	4	3	5	3	3	4	4	4
4	4	4	2	4	5	5	5	2	3	2	3	1	3	4	4	4	5	4	5	5	5	4	5	5	5	5	5	4	5	2	3	2	4	4	4	4	5	3	5	4	1	5	5
4	3	4	3	3	4	5	5	3	4	3	3	3	4	3	4	4	4	4	3	4	5	3	4	5	5	4	5	4	3	4	5	5	4	5	4	4	4	3	5	5	4	4	4
3	3	4	3	4	3	4	3	1	3	3	3	3	2	3	3	3	4	4	2	2	3	3	4	2	4	2	3	4	3	5	4	5	3	4	4	3	3	4	3	3	3	3	3
2	3	2	3	3	2	3	3	4	4	3	2	3	3	2	1	2	4	2	1	1	1	3	2	4	4	1	3	2	3	2	4	5	2	5	3	2	3	3	5	4	3	3	3
4	4	4	4	4	4	3	3	2	4	3	3	3	4	3	3	3	4	4	3	4	4	4	4	4	4	3	4	4	3	4	4	5	4	5	5	4	3	4	4	4	4	3	4
1	1	2	1	1	2	2	2	3	2	3	2	2	2	3	3	3	4	3	1	1	2	3	3	3	4	2	3	2	3	3	4	4	1	4	3	3	3	3	3	3	4	4	3
4	5	5	4	4	4	5	3	2	2	4	3	2	3	4	4	4	3	5	3	4	3	4	4	3	5	5	4	4	4	3	4	3	4	4	4	5	5	2	5	4	2	3	5
3	3	5	4	4	5	3	5	5	4	4	2	3	2	5	3	3	4	4	5	5	5	3	4	4	5	4	5	4	3	5	5	3	3	3	5	4	3	3	4	4	4	5	4
2	3	4	3	3	4	2	3	2	4	3	3	2	3	4	1	1	4	3	2	3	4	3	4	4	4	3	4	3	3	4	4	4	2	4	4	4	4	3	4	4	4	4	4
3	2	4	4	4	3	1	4	4	3	3	4	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	4	4	3	3	3	3	3	4	4	4	3	3	3	3	3	4	3
2	2	2	2	2	2	3	3	2	1	2	1	1	1	3	3	3	2	2	1	1	1	1	2	3	3	1	1	1	2	4	5	5	2	3	3	3	3	1	2	2	2	2	3
3	2	3	3	2	4	1	1	4	4	3	4	3	2	3	1	3	4	2	3	3	2	3	3	3	3	3	5	2	3	3	3	2	3	3	3	2	3	4	2	3	3	3	2
5	4	4	5	4	5	5	4	3	4	4	5	5	4	4	4	4	4	4	5	5	5	5	4	5	5	5	4	3	4	4	4	5	5	3	4	4	5	5	5	4	4	4	4
4	4	4	4	4	4	4	3	2	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	3	4	4	4	4	4
4	4	4	3	3	4	5	5	2	3	2	2	2	4	4	4	4	4	4	5	5	3	4	3	1	5	5	2	3	3	2	4	4	4	4	4	4	4	3	4	5	4	3	5
4	4	4	3	3	4	3	3	2	3	4	1	2	3	4	4	4	2	4	5	4	4	4	4	4	3	3	4	3	3	4	4	4	4	4	4	3	4	4	4	4	4	5	5
4	4	4	3	3	4	4	4	2	4	3	4	4	4	4	4	4	4	4	3	4	3	4	3	1	4	5	3	4	4	3	4	3	4	4	5	4	4	3	5	5	4	3	4
3	3	3	2	3	2	3	3	3	3	4	3	3	3	3	3	3	4	3	3	3	3	3	4	3	3	3	4	3	3	3	4	4	3	4	4	4	3	3	4	3	3	4	4
4	4	5	3	3	4	4	4	1	3	3	3	3	4	2	2	2	3	3	4	4	5	5	5	2	5	5	5	4	4	3	5	5	4	5	5	5	5	5	5	5	3	3	5
3	3	4	4	4	4	5	5	2	3	4	4	4	4	3	4	3	4	5	4	4	4	4	3	4	4	5	4	4	4	4	4	3	4	5	4	4	4	3	5	5	5	5	4
5	5	5	3	4	5	5	5	5	5	3	3	2	2	5	4	4	5	5	4	5	5	4	5	5	5	5	5	4	5	5	5	5	5	5	5	5	5	5	4	5	5	3	5
4	4	4	4	4	3	3	4	2	3	3	3	4	4	4	3	3	3	3	4	4	4	3	4	3	5	4	5	4	4	4	5	5	4	5	4	4	4	3	4	3	3	3	3
4	4	4	3	4	4	4	4	3	3	3	3	3	4	3	4	3	5	4	4	5	4	4	4	4	4	4	4	4	4	4	4	4	4	5	5	4	4	3	4	5	4	5	4
4	4	4	4	4	5	5	3	2	3	5	4	2	4	4	5	5	4	5	5	5	5	4	4	4	5	5	5	5	4	5	5	5	4	5	5	4	4	2	4	4	5	5	5
3	3	4	3	3	2	3	3	1	2	2	3	3	3	3	2	2	3	3	1	3	2	1	3	4	4	2	2	2	3	3	5	5	3	5	5	4	4	3	4	4	4	4	4
4	4	4	4	4	3	3	3	3	3	4	4	3	3	4	2	3	2	3	3	4	3	2	3	3	4	3	3	2	3	3	4	2	4	3	3	4	3	2	4	3	3	2	3
4	3	5	4	4	3	3	2	2	3	4	3	4	3	2	3	3	5	4	4	4	4	3	3	5	5	5	5	4	4	4	5	5	4	5	5	4	4	2	4	4	4	4	5
2	2	4	3	3	1	2	3	4	3	2	2	3	3	3	1	1	2	2	1	3	1	1	4	4	3	2	3	3	3	3	4	5	2	4	3	3	4	2	4	4	3	3	4
2	2	3	2	2	2	3	2	4	3	3	2	2	3	2	3	3	3	2	2	2	3	3	2	3	3	2	3	2	2	3	3	4	2	4	4	4	4	4	4	3	3	3	3
3	2	3	4	4	2	1	4	3	3	4	4	3	3	3	3	2	2	3	3	3	3	3	3	4	3	2	4	4	4	5	4	5	3	5	5	5	5	3	3	3	3	3	4
4	3	4	3	3	4	2	3	3	4	3	4	3	5	4	3	2	5	4	4	4	4	4	3	3	3	5	5	4	3	5	3	5	4	3	4	4	3	3	3	4	2	3	3
4	4	4	4	4	4	4	3	3	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4
5	5	4	3	4	4	5	4	3	3	2	4	3	3	4	4	4	4	4	2	3	2	2	3	2	5	3	4	3	3	4	5	5	5	4	4	4	4	3	4	4	2	3	4
3	3	4	3	3	2	3	2	2	2	3	2	2	4	2	1	1	4	3	2	3	2	3	3	2	4	2	2	3	2	2	4	4	3	4	4	3	3	2	3	3	3	3	3
4	4	4	4	4	4	4	3	2	3	4	4	4	4	4	3	3	3	4	2	4	4	3	4	4	4	3	4	4	4	3	5	4	4	4	4	4	3	4	4	3	3	4	4
4	4	4	3	4	4	4	4	4	4	2	3	3	4	3	3	3	4	4	4	4	4	3	3	3	4	3	4	4	4	4	4	4	4	4	3	2	3	4	4	4	3	4	4
5	5	5	5	4	4	4	5	3	4	4	4	3	3	3	4	5	5	5	4	3	5	4	4	4	5	3	4	3	5	5	4	4	4	5	4	4	4	5	5	5	4	5	4
4	4	4	4	4	4	3	4	3	4	4	3	4	4	4	4	4	4	4	4	4	3	3	4	4	4	4	3	4	4	4	4	4	4	4	4	4	3	3	4	3	3	3	4
4	5	4	4	4	4	4	4	3	3	4	4	3	4	5	4	4	5	5	4	4	2	2	3	4	4	4	3	4	4	4	4	4	5	4	4	4	4	3	4	4	4	4	4
4	4	3	4	3	4	5	4	3	3	2	3	3	3	4	4	4	3	4	3	4	2	3	3	5	4	3	3	4	4	4	4	4	4	5	5	5	4	4	4	4	4	5	5
3	3	4	4	3	3	4	4	5	4	4	2	3	3	2	2	2	3	3	3	4	4	4	4	2	5	4	4	4	3	3	5	5	3	4	4	4	4	3	3	4	4	4	4
4	4	4	4	4	4	5	4	3	4	4	4	4	4	4	3	3	4	4	5	5	4	4	4	2	4	4	4	4	4	3	4	4	4	5	5	4	4	3	4	4	4	4	4
4	3	4	4	4	3	3	4	1	2	3	4	3	4	4	4	4	4	4	5	5	4	4	4	3	5	4	5	4	4	4	4	4	4	5	4	3	4	2	4	4	4	4	3

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	Big Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=308605&T=0

[TABLE]
[ROW]

Summary of computational transaction[/C][/ROW] [ROW]

Raw Input[/C]

view raw input (R code) [/C][/ROW] [ROW]

Raw Output[/C]

view raw output of R engine [/C][/ROW] [ROW]

Computing time[/C]

1 seconds[/C][/ROW] [ROW]

R Server[/C]

Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=308605&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=308605&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	1 seconds
R Server	Big Analytics Cloud Computing Center

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	-6.22	0	1108	-1	0	178	-1
2	-6.32	0	1125	-1	0	178	-1
3	-6.06	0	1079	-1	0	178	-1
4	-6.49	0	1156	-1	0	178	-1
5	-6.35	0	1130	-1	0	178	-1
6	-6.31	0	1123	-1	0	178	-1
7	-6.45	0	1148	-1	0	178	-1
8	-6.37	0	1133	-1	0	178	-1
9	-7.43	0	1323	-1	0	178	-1
10	-6.82	0	1214	-1	0	178	-1
11	-6.76	0	1203	-1	0	178	-1
12	-6.78	0	1207	-1	0	178	-1
13	-6.92	0	1231	-1	0	178	-1
14	-6.64	0	1182	-1	0	178	-1
15	-6.54	0	1164	-1	0	178	-1
16	-6.78	0	1207	-1	0	178	-1
17	-6.79	0	1208	-1	0	178	-1
18	-6.25	0	1112	-1	0	178	-1
19	-6.29	0	1119	-1	0	178	-1
20	-6.38	0	1135	-1	0	178	-1
21	-6.16	0	1097	-1	0	178	-1
22	-6.42	0	1143	-1	0	178	-1
23	-6.51	0	1159	-1	0	178	-1
24	-6.33	0	1126	-1	0	178	-1
25	-6.42	0	1143	-1	0	178	-1
26	-5.81	0	1035	-1	0	178	-1
27	-6.3	0	1122	-1	0	178	-1
28	-6.08	0	1083	-1	0	178	-1
29	-6.44	0	1146	-1	0	178	-1
30	-6.34	0	1129	-1	0	178	-1
31	-6.37	0	1134	-1	0	178	-1
32	-5.84	0	1040	-1	0	178	-1
33	-5.88	0	1046	-1	0	178	-1
34	-6.24	0	1110	-1	0	178	-1
35	-5.8	0	1033	-1	0	178	-1
36	-5.83	0	1038	-1	0	178	-1
37	-6.09	0	1084	-1	0	178	-1
38	-6.14	0	1093	-1	0	178	-1
39	-6.79	0	1209	-1	0	178	-1
40	-6.07	0	1081	-1	0	178	-1
41	-6.1	0	1085	-1	0	178	-1
42	-6.21	0	1106	-1	0	178	-1
43	-6.22	0	1107	-1	0	178	-1
44	-6.04	0	1075	-1	0	178	-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 & -6.22 & 0 & 1108 & -1 & 0 & 178 & -1 \tabularnewline
2 & -6.32 & 0 & 1125 & -1 & 0 & 178 & -1 \tabularnewline
3 & -6.06 & 0 & 1079 & -1 & 0 & 178 & -1 \tabularnewline
4 & -6.49 & 0 & 1156 & -1 & 0 & 178 & -1 \tabularnewline
5 & -6.35 & 0 & 1130 & -1 & 0 & 178 & -1 \tabularnewline
6 & -6.31 & 0 & 1123 & -1 & 0 & 178 & -1 \tabularnewline
7 & -6.45 & 0 & 1148 & -1 & 0 & 178 & -1 \tabularnewline
8 & -6.37 & 0 & 1133 & -1 & 0 & 178 & -1 \tabularnewline
9 & -7.43 & 0 & 1323 & -1 & 0 & 178 & -1 \tabularnewline
10 & -6.82 & 0 & 1214 & -1 & 0 & 178 & -1 \tabularnewline
11 & -6.76 & 0 & 1203 & -1 & 0 & 178 & -1 \tabularnewline
12 & -6.78 & 0 & 1207 & -1 & 0 & 178 & -1 \tabularnewline
13 & -6.92 & 0 & 1231 & -1 & 0 & 178 & -1 \tabularnewline
14 & -6.64 & 0 & 1182 & -1 & 0 & 178 & -1 \tabularnewline
15 & -6.54 & 0 & 1164 & -1 & 0 & 178 & -1 \tabularnewline
16 & -6.78 & 0 & 1207 & -1 & 0 & 178 & -1 \tabularnewline
17 & -6.79 & 0 & 1208 & -1 & 0 & 178 & -1 \tabularnewline
18 & -6.25 & 0 & 1112 & -1 & 0 & 178 & -1 \tabularnewline
19 & -6.29 & 0 & 1119 & -1 & 0 & 178 & -1 \tabularnewline
20 & -6.38 & 0 & 1135 & -1 & 0 & 178 & -1 \tabularnewline
21 & -6.16 & 0 & 1097 & -1 & 0 & 178 & -1 \tabularnewline
22 & -6.42 & 0 & 1143 & -1 & 0 & 178 & -1 \tabularnewline
23 & -6.51 & 0 & 1159 & -1 & 0 & 178 & -1 \tabularnewline
24 & -6.33 & 0 & 1126 & -1 & 0 & 178 & -1 \tabularnewline
25 & -6.42 & 0 & 1143 & -1 & 0 & 178 & -1 \tabularnewline
26 & -5.81 & 0 & 1035 & -1 & 0 & 178 & -1 \tabularnewline
27 & -6.3 & 0 & 1122 & -1 & 0 & 178 & -1 \tabularnewline
28 & -6.08 & 0 & 1083 & -1 & 0 & 178 & -1 \tabularnewline
29 & -6.44 & 0 & 1146 & -1 & 0 & 178 & -1 \tabularnewline
30 & -6.34 & 0 & 1129 & -1 & 0 & 178 & -1 \tabularnewline
31 & -6.37 & 0 & 1134 & -1 & 0 & 178 & -1 \tabularnewline
32 & -5.84 & 0 & 1040 & -1 & 0 & 178 & -1 \tabularnewline
33 & -5.88 & 0 & 1046 & -1 & 0 & 178 & -1 \tabularnewline
34 & -6.24 & 0 & 1110 & -1 & 0 & 178 & -1 \tabularnewline
35 & -5.8 & 0 & 1033 & -1 & 0 & 178 & -1 \tabularnewline
36 & -5.83 & 0 & 1038 & -1 & 0 & 178 & -1 \tabularnewline
37 & -6.09 & 0 & 1084 & -1 & 0 & 178 & -1 \tabularnewline
38 & -6.14 & 0 & 1093 & -1 & 0 & 178 & -1 \tabularnewline
39 & -6.79 & 0 & 1209 & -1 & 0 & 178 & -1 \tabularnewline
40 & -6.07 & 0 & 1081 & -1 & 0 & 178 & -1 \tabularnewline
41 & -6.1 & 0 & 1085 & -1 & 0 & 178 & -1 \tabularnewline
42 & -6.21 & 0 & 1106 & -1 & 0 & 178 & -1 \tabularnewline
43 & -6.22 & 0 & 1107 & -1 & 0 & 178 & -1 \tabularnewline
44 & -6.04 & 0 & 1075 & -1 & 0 & 178 & -1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=308605&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]-6.22[/C][C]0[/C][C]1108[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]2[/C][C]-6.32[/C][C]0[/C][C]1125[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]3[/C][C]-6.06[/C][C]0[/C][C]1079[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]4[/C][C]-6.49[/C][C]0[/C][C]1156[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]5[/C][C]-6.35[/C][C]0[/C][C]1130[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]6[/C][C]-6.31[/C][C]0[/C][C]1123[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]7[/C][C]-6.45[/C][C]0[/C][C]1148[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]8[/C][C]-6.37[/C][C]0[/C][C]1133[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]9[/C][C]-7.43[/C][C]0[/C][C]1323[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]10[/C][C]-6.82[/C][C]0[/C][C]1214[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]11[/C][C]-6.76[/C][C]0[/C][C]1203[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]12[/C][C]-6.78[/C][C]0[/C][C]1207[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]13[/C][C]-6.92[/C][C]0[/C][C]1231[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]14[/C][C]-6.64[/C][C]0[/C][C]1182[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]15[/C][C]-6.54[/C][C]0[/C][C]1164[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]16[/C][C]-6.78[/C][C]0[/C][C]1207[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]17[/C][C]-6.79[/C][C]0[/C][C]1208[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]18[/C][C]-6.25[/C][C]0[/C][C]1112[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]19[/C][C]-6.29[/C][C]0[/C][C]1119[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]20[/C][C]-6.38[/C][C]0[/C][C]1135[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]21[/C][C]-6.16[/C][C]0[/C][C]1097[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]22[/C][C]-6.42[/C][C]0[/C][C]1143[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]23[/C][C]-6.51[/C][C]0[/C][C]1159[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]24[/C][C]-6.33[/C][C]0[/C][C]1126[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]25[/C][C]-6.42[/C][C]0[/C][C]1143[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]26[/C][C]-5.81[/C][C]0[/C][C]1035[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]27[/C][C]-6.3[/C][C]0[/C][C]1122[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]28[/C][C]-6.08[/C][C]0[/C][C]1083[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]29[/C][C]-6.44[/C][C]0[/C][C]1146[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]30[/C][C]-6.34[/C][C]0[/C][C]1129[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]31[/C][C]-6.37[/C][C]0[/C][C]1134[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]32[/C][C]-5.84[/C][C]0[/C][C]1040[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]33[/C][C]-5.88[/C][C]0[/C][C]1046[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]34[/C][C]-6.24[/C][C]0[/C][C]1110[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]35[/C][C]-5.8[/C][C]0[/C][C]1033[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]36[/C][C]-5.83[/C][C]0[/C][C]1038[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]37[/C][C]-6.09[/C][C]0[/C][C]1084[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]38[/C][C]-6.14[/C][C]0[/C][C]1093[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]39[/C][C]-6.79[/C][C]0[/C][C]1209[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]40[/C][C]-6.07[/C][C]0[/C][C]1081[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]41[/C][C]-6.1[/C][C]0[/C][C]1085[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]42[/C][C]-6.21[/C][C]0[/C][C]1106[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]43[/C][C]-6.22[/C][C]0[/C][C]1107[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[ROW][C]44[/C][C]-6.04[/C][C]0[/C][C]1075[/C][C]-1[/C][C]0[/C][C]178[/C][C]-1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=308605&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=308605&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	-6.22	0	1108	-1	0	178	-1
2	-6.32	0	1125	-1	0	178	-1
3	-6.06	0	1079	-1	0	178	-1
4	-6.49	0	1156	-1	0	178	-1
5	-6.35	0	1130	-1	0	178	-1
6	-6.31	0	1123	-1	0	178	-1
7	-6.45	0	1148	-1	0	178	-1
8	-6.37	0	1133	-1	0	178	-1
9	-7.43	0	1323	-1	0	178	-1
10	-6.82	0	1214	-1	0	178	-1
11	-6.76	0	1203	-1	0	178	-1
12	-6.78	0	1207	-1	0	178	-1
13	-6.92	0	1231	-1	0	178	-1
14	-6.64	0	1182	-1	0	178	-1
15	-6.54	0	1164	-1	0	178	-1
16	-6.78	0	1207	-1	0	178	-1
17	-6.79	0	1208	-1	0	178	-1
18	-6.25	0	1112	-1	0	178	-1
19	-6.29	0	1119	-1	0	178	-1
20	-6.38	0	1135	-1	0	178	-1
21	-6.16	0	1097	-1	0	178	-1
22	-6.42	0	1143	-1	0	178	-1
23	-6.51	0	1159	-1	0	178	-1
24	-6.33	0	1126	-1	0	178	-1
25	-6.42	0	1143	-1	0	178	-1
26	-5.81	0	1035	-1	0	178	-1
27	-6.3	0	1122	-1	0	178	-1
28	-6.08	0	1083	-1	0	178	-1
29	-6.44	0	1146	-1	0	178	-1
30	-6.34	0	1129	-1	0	178	-1
31	-6.37	0	1134	-1	0	178	-1
32	-5.84	0	1040	-1	0	178	-1
33	-5.88	0	1046	-1	0	178	-1
34	-6.24	0	1110	-1	0	178	-1
35	-5.8	0	1033	-1	0	178	-1
36	-5.83	0	1038	-1	0	178	-1
37	-6.09	0	1084	-1	0	178	-1
38	-6.14	0	1093	-1	0	178	-1
39	-6.79	0	1209	-1	0	178	-1
40	-6.07	0	1081	-1	0	178	-1
41	-6.1	0	1085	-1	0	178	-1
42	-6.21	0	1106	-1	0	178	-1
43	-6.22	0	1107	-1	0	178	-1
44	-6.04	0	1075	-1	0	178	-1

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

\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) & NA (NA) & NA (NA) \tabularnewline
(Ps-Ns)/(Ps+Ns) & NA (NA) & NA (NA) & NA (NA) \tabularnewline
(Pc-Nc)/(Pc+Nc) & NA (NA) & NA (NA) & NA (NA) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=308605&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]NA (NA)[/C][C]NA (NA)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]NA (NA)[/C][C]NA (NA)[/C][C]NA (NA)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]NA (NA)[/C][C]NA (NA)[/C][C]NA (NA)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=308605&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=308605&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)	NA (NA)	NA (NA)
(Ps-Ns)/(Ps+Ns)	NA (NA)	NA (NA)	NA (NA)
(Pc-Nc)/(Pc+Nc)	NA (NA)	NA (NA)	NA (NA)

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

\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) & NA (NA) & NA (NA) \tabularnewline
(Ps-Ns)/(Ps+Ns) & NA (NA) & NA (NA) & NA (NA) \tabularnewline
(Pc-Nc)/(Pc+Nc) & NA (NA) & NA (NA) & NA (NA) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=308605&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]NA (NA)[/C][C]NA (NA)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]NA (NA)[/C][C]NA (NA)[/C][C]NA (NA)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]NA (NA)[/C][C]NA (NA)[/C][C]NA (NA)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=308605&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=308605&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)	NA (NA)	NA (NA)
(Ps-Ns)/(Ps+Ns)	NA (NA)	NA (NA)	NA (NA)
(Pc-Nc)/(Pc+Nc)	NA (NA)	NA (NA)	NA (NA)

Parameters (Session):

par1 = 10 ; par2 = white ; par3 = TRUE ; par4 = Unknown ;

Parameters (R input):

par1 = 10 ;

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)
}
print(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