Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

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, 02 Dec 2014 15:18:39 +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/2014/Dec/02/t1417533528ntwl4o42px2xiud.htm/, Retrieved Thu, 16 May 2024 13:52:14 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=262737, Retrieved Thu, 16 May 2024 13:52:14 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

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

-     [(Partial) Autocorrelation Function] [] [2014-11-27 22:56:31] [4d39cf209776852399955073f9d0ee7a]
- RMPD    [Survey Scores] [] [2014-12-02 15:18:39] [f11ff77f11120bba23ccca75f7c5b5e0] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

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

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	'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=262737&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=262737&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262737&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	'Sir Maurice George Kendall' @ kendall.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	1.98	995	16	0.97	462	11	0.95
2	1.67	864	35	0.92	431	20	0.91
3	1.85	938	21	0.96	452	12	0.95
4	1.09	633	91	0.75	368	56	0.74
5	-2.46	16	1234	-0.97	11	471	-0.95
6	-2.21	36	1131	-0.94	25	441	-0.89
7	-2.63	10	1312	-0.98	7	474	-0.97
8	-2.65	10	1323	-0.98	7	473	-0.97

\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 & 1.98 & 995 & 16 & 0.97 & 462 & 11 & 0.95 \tabularnewline
2 & 1.67 & 864 & 35 & 0.92 & 431 & 20 & 0.91 \tabularnewline
3 & 1.85 & 938 & 21 & 0.96 & 452 & 12 & 0.95 \tabularnewline
4 & 1.09 & 633 & 91 & 0.75 & 368 & 56 & 0.74 \tabularnewline
5 & -2.46 & 16 & 1234 & -0.97 & 11 & 471 & -0.95 \tabularnewline
6 & -2.21 & 36 & 1131 & -0.94 & 25 & 441 & -0.89 \tabularnewline
7 & -2.63 & 10 & 1312 & -0.98 & 7 & 474 & -0.97 \tabularnewline
8 & -2.65 & 10 & 1323 & -0.98 & 7 & 473 & -0.97 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=262737&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]1.98[/C][C]995[/C][C]16[/C][C]0.97[/C][C]462[/C][C]11[/C][C]0.95[/C][/ROW]
[ROW][C]2[/C][C]1.67[/C][C]864[/C][C]35[/C][C]0.92[/C][C]431[/C][C]20[/C][C]0.91[/C][/ROW]
[ROW][C]3[/C][C]1.85[/C][C]938[/C][C]21[/C][C]0.96[/C][C]452[/C][C]12[/C][C]0.95[/C][/ROW]
[ROW][C]4[/C][C]1.09[/C][C]633[/C][C]91[/C][C]0.75[/C][C]368[/C][C]56[/C][C]0.74[/C][/ROW]
[ROW][C]5[/C][C]-2.46[/C][C]16[/C][C]1234[/C][C]-0.97[/C][C]11[/C][C]471[/C][C]-0.95[/C][/ROW]
[ROW][C]6[/C][C]-2.21[/C][C]36[/C][C]1131[/C][C]-0.94[/C][C]25[/C][C]441[/C][C]-0.89[/C][/ROW]
[ROW][C]7[/C][C]-2.63[/C][C]10[/C][C]1312[/C][C]-0.98[/C][C]7[/C][C]474[/C][C]-0.97[/C][/ROW]
[ROW][C]8[/C][C]-2.65[/C][C]10[/C][C]1323[/C][C]-0.98[/C][C]7[/C][C]473[/C][C]-0.97[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=262737&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262737&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	1.98	995	16	0.97	462	11	0.95
2	1.67	864	35	0.92	431	20	0.91
3	1.85	938	21	0.96	452	12	0.95
4	1.09	633	91	0.75	368	56	0.74
5	-2.46	16	1234	-0.97	11	471	-0.95
6	-2.21	36	1131	-0.94	25	441	-0.89
7	-2.63	10	1312	-0.98	7	474	-0.97
8	-2.65	10	1323	-0.98	7	473	-0.97

Pearson correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0)	0.998 (0)	0.998 (0)
(Ps-Ns)/(Ps+Ns)	0.998 (0)	1 (0)	1 (0)
(Pc-Nc)/(Pc+Nc)	0.998 (0)	1 (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) & 0.998 (0) & 0.998 (0) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.998 (0) & 1 (0) & 1 (0) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.998 (0) & 1 (0) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=262737&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]0.998 (0)[/C][C]0.998 (0)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.998 (0)[/C][C]1 (0)[/C][C]1 (0)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.998 (0)[/C][C]1 (0)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=262737&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262737&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)	0.998 (0)	0.998 (0)
(Ps-Ns)/(Ps+Ns)	0.998 (0)	1 (0)	1 (0)
(Pc-Nc)/(Pc+Nc)	0.998 (0)	1 (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)	0.982 (0.001)	0.964 (0.001)
(Ps-Ns)/(Ps+Ns)	0.982 (0.001)	1 (0.001)	0.981 (0.001)
(Pc-Nc)/(Pc+Nc)	0.964 (0.001)	0.981 (0.001)	1 (0.001)

\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) & 0.982 (0.001) & 0.964 (0.001) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.982 (0.001) & 1 (0.001) & 0.981 (0.001) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.964 (0.001) & 0.981 (0.001) & 1 (0.001) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=262737&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]0.982 (0.001)[/C][C]0.964 (0.001)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.982 (0.001)[/C][C]1 (0.001)[/C][C]0.981 (0.001)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.964 (0.001)[/C][C]0.981 (0.001)[/C][C]1 (0.001)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=262737&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262737&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)	0.982 (0.001)	0.964 (0.001)
(Ps-Ns)/(Ps+Ns)	0.982 (0.001)	1 (0.001)	0.981 (0.001)
(Pc-Nc)/(Pc+Nc)	0.964 (0.001)	0.981 (0.001)	1 (0.001)

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