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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

Mon, 26 Oct 2015 12:46:15 +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/2015/Oct/26/t144586372354q62odn51kpss6.htm/, Retrieved Tue, 14 May 2024 19:59:57 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=283078, Retrieved Tue, 14 May 2024 19:59:57 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

162

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

-     [Survey Scores] [] [2015-09-26 10:29:29] [32b17a345b130fdf5cc88718ed94a974]
- R  D    [Survey Scores] [H4 Task 18 SSROC] [2015-10-26 12:46:15] [1ebd241c410d245f512b4b5f98d948fd] [Current]

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Dataseries X:

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Histogram

Boxplots

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

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	'Sir Ronald Aylmer Fisher' @ fisher.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 & 0 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283078&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283078&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283078&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	'Sir Ronald Aylmer Fisher' @ fisher.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	0.5	3	1	0.5	3	1	0.5
2	1	4	0	1	4	0	1
3	1	4	0	1	4	0	1
4	0.75	3	0	1	3	0	1
5	1	4	0	1	3	0	1
6	0	1	1	0	1	1	0
7	0.5	3	1	0.5	3	1	0.5
8	0.75	3	0	1	2	0	1
9	-0.5	0	2	-1	0	2	-1
10	0.75	4	1	0.6	3	1	0.5
11	-0.75	0	3	-1	0	2	-1
12	1.25	5	0	1	4	0	1
13	1.25	5	0	1	4	0	1
14	0.75	3	0	1	3	0	1
15	0	1	1	0	1	1	0
16	-0.25	1	2	-0.33	1	2	-0.33
17	1	4	0	1	3	0	1
18	0.5	3	1	0.5	3	1	0.5
19	0	2	2	0	2	2	0
20	-1	0	4	-1	0	3	-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 & 0.5 & 3 & 1 & 0.5 & 3 & 1 & 0.5 \tabularnewline
2 & 1 & 4 & 0 & 1 & 4 & 0 & 1 \tabularnewline
3 & 1 & 4 & 0 & 1 & 4 & 0 & 1 \tabularnewline
4 & 0.75 & 3 & 0 & 1 & 3 & 0 & 1 \tabularnewline
5 & 1 & 4 & 0 & 1 & 3 & 0 & 1 \tabularnewline
6 & 0 & 1 & 1 & 0 & 1 & 1 & 0 \tabularnewline
7 & 0.5 & 3 & 1 & 0.5 & 3 & 1 & 0.5 \tabularnewline
8 & 0.75 & 3 & 0 & 1 & 2 & 0 & 1 \tabularnewline
9 & -0.5 & 0 & 2 & -1 & 0 & 2 & -1 \tabularnewline
10 & 0.75 & 4 & 1 & 0.6 & 3 & 1 & 0.5 \tabularnewline
11 & -0.75 & 0 & 3 & -1 & 0 & 2 & -1 \tabularnewline
12 & 1.25 & 5 & 0 & 1 & 4 & 0 & 1 \tabularnewline
13 & 1.25 & 5 & 0 & 1 & 4 & 0 & 1 \tabularnewline
14 & 0.75 & 3 & 0 & 1 & 3 & 0 & 1 \tabularnewline
15 & 0 & 1 & 1 & 0 & 1 & 1 & 0 \tabularnewline
16 & -0.25 & 1 & 2 & -0.33 & 1 & 2 & -0.33 \tabularnewline
17 & 1 & 4 & 0 & 1 & 3 & 0 & 1 \tabularnewline
18 & 0.5 & 3 & 1 & 0.5 & 3 & 1 & 0.5 \tabularnewline
19 & 0 & 2 & 2 & 0 & 2 & 2 & 0 \tabularnewline
20 & -1 & 0 & 4 & -1 & 0 & 3 & -1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283078&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]0.5[/C][C]3[/C][C]1[/C][C]0.5[/C][C]3[/C][C]1[/C][C]0.5[/C][/ROW]
[ROW][C]2[/C][C]1[/C][C]4[/C][C]0[/C][C]1[/C][C]4[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]3[/C][C]1[/C][C]4[/C][C]0[/C][C]1[/C][C]4[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]4[/C][C]0.75[/C][C]3[/C][C]0[/C][C]1[/C][C]3[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]4[/C][C]0[/C][C]1[/C][C]3[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]6[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.5[/C][C]3[/C][C]1[/C][C]0.5[/C][C]3[/C][C]1[/C][C]0.5[/C][/ROW]
[ROW][C]8[/C][C]0.75[/C][C]3[/C][C]0[/C][C]1[/C][C]2[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]9[/C][C]-0.5[/C][C]0[/C][C]2[/C][C]-1[/C][C]0[/C][C]2[/C][C]-1[/C][/ROW]
[ROW][C]10[/C][C]0.75[/C][C]4[/C][C]1[/C][C]0.6[/C][C]3[/C][C]1[/C][C]0.5[/C][/ROW]
[ROW][C]11[/C][C]-0.75[/C][C]0[/C][C]3[/C][C]-1[/C][C]0[/C][C]2[/C][C]-1[/C][/ROW]
[ROW][C]12[/C][C]1.25[/C][C]5[/C][C]0[/C][C]1[/C][C]4[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]13[/C][C]1.25[/C][C]5[/C][C]0[/C][C]1[/C][C]4[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]14[/C][C]0.75[/C][C]3[/C][C]0[/C][C]1[/C][C]3[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]15[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]-0.25[/C][C]1[/C][C]2[/C][C]-0.33[/C][C]1[/C][C]2[/C][C]-0.33[/C][/ROW]
[ROW][C]17[/C][C]1[/C][C]4[/C][C]0[/C][C]1[/C][C]3[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]18[/C][C]0.5[/C][C]3[/C][C]1[/C][C]0.5[/C][C]3[/C][C]1[/C][C]0.5[/C][/ROW]
[ROW][C]19[/C][C]0[/C][C]2[/C][C]2[/C][C]0[/C][C]2[/C][C]2[/C][C]0[/C][/ROW]
[ROW][C]20[/C][C]-1[/C][C]0[/C][C]4[/C][C]-1[/C][C]0[/C][C]3[/C][C]-1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283078&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283078&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	0.5	3	1	0.5	3	1	0.5
2	1	4	0	1	4	0	1
3	1	4	0	1	4	0	1
4	0.75	3	0	1	3	0	1
5	1	4	0	1	3	0	1
6	0	1	1	0	1	1	0
7	0.5	3	1	0.5	3	1	0.5
8	0.75	3	0	1	2	0	1
9	-0.5	0	2	-1	0	2	-1
10	0.75	4	1	0.6	3	1	0.5
11	-0.75	0	3	-1	0	2	-1
12	1.25	5	0	1	4	0	1
13	1.25	5	0	1	4	0	1
14	0.75	3	0	1	3	0	1
15	0	1	1	0	1	1	0
16	-0.25	1	2	-0.33	1	2	-0.33
17	1	4	0	1	3	0	1
18	0.5	3	1	0.5	3	1	0.5
19	0	2	2	0	2	2	0
20	-1	0	4	-1	0	3	-1

Pearson correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0)	0.971 (0)	0.969 (0)
(Ps-Ns)/(Ps+Ns)	0.971 (0)	1 (0)	1 (0)
(Pc-Nc)/(Pc+Nc)	0.969 (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) & 0.971 (0) & 0.969 (0) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.971 (0) & 1 (0) & 1 (0) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.969 (0) & 1 (0) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283078&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]0.971 (0)[/C][C]0.969 (0)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.971 (0)[/C][C]1 (0)[/C][C]1 (0)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.969 (0)[/C][C]1 (0)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283078&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283078&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)	0.971 (0)	0.969 (0)
(Ps-Ns)/(Ps+Ns)	0.971 (0)	1 (0)	1 (0)
(Pc-Nc)/(Pc+Nc)	0.969 (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)	0.902 (0)	0.892 (0)
(Ps-Ns)/(Ps+Ns)	0.902 (0)	1 (0)	0.99 (0)
(Pc-Nc)/(Pc+Nc)	0.892 (0)	0.99 (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) & 0.902 (0) & 0.892 (0) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.902 (0) & 1 (0) & 0.99 (0) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.892 (0) & 0.99 (0) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283078&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]0.902 (0)[/C][C]0.892 (0)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.902 (0)[/C][C]1 (0)[/C][C]0.99 (0)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.892 (0)[/C][C]0.99 (0)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283078&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283078&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)	0.902 (0)	0.892 (0)
(Ps-Ns)/(Ps+Ns)	0.902 (0)	1 (0)	0.99 (0)
(Pc-Nc)/(Pc+Nc)	0.892 (0)	0.99 (0)	1 (0)

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):

par1 <- '1 2 3 4 5'
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