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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

Sat, 16 Dec 2017 11:16:29 +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/16/t15134195204113gtinvnsnvjt.htm/, Retrieved Tue, 10 Feb 2026 04:10:35 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=309840, Retrieved Tue, 10 Feb 2026 04:10:35 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

299

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

-       [Survey Scores] [Survey Scores –...] [2017-12-16 10:16:29] [228f385b091a4ec8014a0b8722ae7714] [Current]

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Dataseries X:

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Histogram

Boxplots

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 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 time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309840&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]

0 seconds[/C][/ROW] [ROW]

R Server[/C]

Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=309840&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309840&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	0 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	0.69	356	50	0.75	307	42	0.76
2	0.61	328	57	0.7	269	53	0.67
3	0.72	353	33	0.83	289	31	0.81
4	0.42	261	74	0.56	222	70	0.52
5	0.59	311	50	0.72	268	48	0.7
6	0.55	323	79	0.61	262	72	0.57
7	0.5	306	82	0.58	240	73	0.53
8	0.41	257	75	0.55	209	66	0.52
9	0.72	359	39	0.8	306	36	0.79

\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 & 0.69 & 356 & 50 & 0.75 & 307 & 42 & 0.76 \tabularnewline
2 & 0.61 & 328 & 57 & 0.7 & 269 & 53 & 0.67 \tabularnewline
3 & 0.72 & 353 & 33 & 0.83 & 289 & 31 & 0.81 \tabularnewline
4 & 0.42 & 261 & 74 & 0.56 & 222 & 70 & 0.52 \tabularnewline
5 & 0.59 & 311 & 50 & 0.72 & 268 & 48 & 0.7 \tabularnewline
6 & 0.55 & 323 & 79 & 0.61 & 262 & 72 & 0.57 \tabularnewline
7 & 0.5 & 306 & 82 & 0.58 & 240 & 73 & 0.53 \tabularnewline
8 & 0.41 & 257 & 75 & 0.55 & 209 & 66 & 0.52 \tabularnewline
9 & 0.72 & 359 & 39 & 0.8 & 306 & 36 & 0.79 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309840&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]0.69[/C][C]356[/C][C]50[/C][C]0.75[/C][C]307[/C][C]42[/C][C]0.76[/C][/ROW]
[ROW][C]2[/C][C]0.61[/C][C]328[/C][C]57[/C][C]0.7[/C][C]269[/C][C]53[/C][C]0.67[/C][/ROW]
[ROW][C]3[/C][C]0.72[/C][C]353[/C][C]33[/C][C]0.83[/C][C]289[/C][C]31[/C][C]0.81[/C][/ROW]
[ROW][C]4[/C][C]0.42[/C][C]261[/C][C]74[/C][C]0.56[/C][C]222[/C][C]70[/C][C]0.52[/C][/ROW]
[ROW][C]5[/C][C]0.59[/C][C]311[/C][C]50[/C][C]0.72[/C][C]268[/C][C]48[/C][C]0.7[/C][/ROW]
[ROW][C]6[/C][C]0.55[/C][C]323[/C][C]79[/C][C]0.61[/C][C]262[/C][C]72[/C][C]0.57[/C][/ROW]
[ROW][C]7[/C][C]0.5[/C][C]306[/C][C]82[/C][C]0.58[/C][C]240[/C][C]73[/C][C]0.53[/C][/ROW]
[ROW][C]8[/C][C]0.41[/C][C]257[/C][C]75[/C][C]0.55[/C][C]209[/C][C]66[/C][C]0.52[/C][/ROW]
[ROW][C]9[/C][C]0.72[/C][C]359[/C][C]39[/C][C]0.8[/C][C]306[/C][C]36[/C][C]0.79[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=309840&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309840&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	0.69	356	50	0.75	307	42	0.76
2	0.61	328	57	0.7	269	53	0.67
3	0.72	353	33	0.83	289	31	0.81
4	0.42	261	74	0.56	222	70	0.52
5	0.59	311	50	0.72	268	48	0.7
6	0.55	323	79	0.61	262	72	0.57
7	0.5	306	82	0.58	240	73	0.53
8	0.41	257	75	0.55	209	66	0.52
9	0.72	359	39	0.8	306	36	0.79

Pearson correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0)	0.966 (0)	0.962 (0)
(Ps-Ns)/(Ps+Ns)	0.966 (0)	1 (0)	0.995 (0)
(Pc-Nc)/(Pc+Nc)	0.962 (0)	0.995 (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) & 0.966 (0) & 0.962 (0) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.966 (0) & 1 (0) & 0.995 (0) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.962 (0) & 0.995 (0) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309840&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]0.966 (0)[/C][C]0.962 (0)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.966 (0)[/C][C]1 (0)[/C][C]0.995 (0)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.962 (0)[/C][C]0.995 (0)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=309840&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309840&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)	0.966 (0)	0.962 (0)
(Ps-Ns)/(Ps+Ns)	0.966 (0)	1 (0)	0.995 (0)
(Pc-Nc)/(Pc+Nc)	0.962 (0)	0.995 (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)	0.93 (0.001)	0.914 (0.001)
(Ps-Ns)/(Ps+Ns)	0.93 (0.001)	1 (0)	0.986 (0)
(Pc-Nc)/(Pc+Nc)	0.914 (0.001)	0.986 (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) & 0.93 (0.001) & 0.914 (0.001) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.93 (0.001) & 1 (0) & 0.986 (0) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.914 (0.001) & 0.986 (0) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309840&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]0.93 (0.001)[/C][C]0.914 (0.001)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.93 (0.001)[/C][C]1 (0)[/C][C]0.986 (0)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.914 (0.001)[/C][C]0.986 (0)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=309840&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309840&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)	0.93 (0.001)	0.914 (0.001)
(Ps-Ns)/(Ps+Ns)	0.93 (0.001)	1 (0)	0.986 (0)
(Pc-Nc)/(Pc+Nc)	0.914 (0.001)	0.986 (0)	1 (0)

Parameters (Session):

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)
}
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