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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, 17 Dec 2011 09:05:14 -0500

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/2011/Dec/17/t1324130832oh2hnb7t66bk19u.htm/, Retrieved Sat, 20 Apr 2024 09:00:43 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=156316, Retrieved Sat, 20 Apr 2024 09:00:43 +0000

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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)

-       [Survey Scores] [] [2011-12-17 14:05:14] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]

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Dataseries X:

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Histogram

Boxplots

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

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	'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156316&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156316&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156316&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	'Gwilym Jenkins' @ jenkins.wessa.net

Summary of survey scores (median of Likert score was subtracted)
Question	mean	Sum ofpositives (Ps)	Sum ofnegatives (Ns)	(Ps-Ns)/(Ps+Ns)	Count ofpositives (Pc)	Count ofnegatives (Nc)	(Pc-Nc)/(Pc+Nc)
1	-1.5	5	224	-0.96	5	127	-0.92
2	-1.12	5	169	-0.94	5	120	-0.92
3	-0.86	10	135	-0.86	10	101	-0.82
4	-0.74	15	123	-0.78	15	87	-0.71
5	0.15	55	33	0.25	55	26	0.36
6	-0.86	16	141	-0.8	16	92	-0.7

\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 & -1.5 & 5 & 224 & -0.96 & 5 & 127 & -0.92 \tabularnewline
2 & -1.12 & 5 & 169 & -0.94 & 5 & 120 & -0.92 \tabularnewline
3 & -0.86 & 10 & 135 & -0.86 & 10 & 101 & -0.82 \tabularnewline
4 & -0.74 & 15 & 123 & -0.78 & 15 & 87 & -0.71 \tabularnewline
5 & 0.15 & 55 & 33 & 0.25 & 55 & 26 & 0.36 \tabularnewline
6 & -0.86 & 16 & 141 & -0.8 & 16 & 92 & -0.7 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156316&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]-1.5[/C][C]5[/C][C]224[/C][C]-0.96[/C][C]5[/C][C]127[/C][C]-0.92[/C][/ROW]
[ROW][C]2[/C][C]-1.12[/C][C]5[/C][C]169[/C][C]-0.94[/C][C]5[/C][C]120[/C][C]-0.92[/C][/ROW]
[ROW][C]3[/C][C]-0.86[/C][C]10[/C][C]135[/C][C]-0.86[/C][C]10[/C][C]101[/C][C]-0.82[/C][/ROW]
[ROW][C]4[/C][C]-0.74[/C][C]15[/C][C]123[/C][C]-0.78[/C][C]15[/C][C]87[/C][C]-0.71[/C][/ROW]
[ROW][C]5[/C][C]0.15[/C][C]55[/C][C]33[/C][C]0.25[/C][C]55[/C][C]26[/C][C]0.36[/C][/ROW]
[ROW][C]6[/C][C]-0.86[/C][C]16[/C][C]141[/C][C]-0.8[/C][C]16[/C][C]92[/C][C]-0.7[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156316&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156316&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	-1.5	5	224	-0.96	5	127	-0.92
2	-1.12	5	169	-0.94	5	120	-0.92
3	-0.86	10	135	-0.86	10	101	-0.82
4	-0.74	15	123	-0.78	15	87	-0.71
5	0.15	55	33	0.25	55	26	0.36
6	-0.86	16	141	-0.8	16	92	-0.7

Pearson correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0)	0.927 (0.008)	0.932 (0.007)
(Ps-Ns)/(Ps+Ns)	0.927 (0.008)	1 (0)	0.999 (0)
(Pc-Nc)/(Pc+Nc)	0.932 (0.007)	0.999 (0)	1 (0)

\begin{tabular}{lllllllll}
\hline
Pearson correlations of survey scores (and p-values) \tabularnewline
 & mean & (Ps-Ns)/(Ps+Ns) & (Pc-Nc)/(Pc+Nc) \tabularnewline
mean & 1 (0) & 0.927 (0.008) & 0.932 (0.007) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.927 (0.008) & 1 (0) & 0.999 (0) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.932 (0.007) & 0.999 (0) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156316&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]0.927 (0.008)[/C][C]0.932 (0.007)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.927 (0.008)[/C][C]1 (0)[/C][C]0.999 (0)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.932 (0.007)[/C][C]0.999 (0)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156316&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156316&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)	0.927 (0.008)	0.932 (0.007)
(Ps-Ns)/(Ps+Ns)	0.927 (0.008)	1 (0)	0.999 (0)
(Pc-Nc)/(Pc+Nc)	0.932 (0.007)	0.999 (0)	1 (0)

Kendall tau rank correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0.006)	0.966 (0.007)	0.786 (0.032)
(Ps-Ns)/(Ps+Ns)	0.966 (0.007)	1 (0.003)	0.828 (0.022)
(Pc-Nc)/(Pc+Nc)	0.786 (0.032)	0.828 (0.022)	1 (0.006)

\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 (0.006) & 0.966 (0.007) & 0.786 (0.032) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.966 (0.007) & 1 (0.003) & 0.828 (0.022) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.786 (0.032) & 0.828 (0.022) & 1 (0.006) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156316&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 (0.006)[/C][C]0.966 (0.007)[/C][C]0.786 (0.032)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.966 (0.007)[/C][C]1 (0.003)[/C][C]0.828 (0.022)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.786 (0.032)[/C][C]0.828 (0.022)[/C][C]1 (0.006)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156316&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156316&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 (0.006)	0.966 (0.007)	0.786 (0.032)
(Ps-Ns)/(Ps+Ns)	0.966 (0.007)	1 (0.003)	0.828 (0.022)
(Pc-Nc)/(Pc+Nc)	0.786 (0.032)	0.828 (0.022)	1 (0.006)

Parameters (Session):

par1 = 1 2 3 4 5 ;

Parameters (R input):

par1 = 1 2 3 4 5 ;

R code (references can be found in the software module):

docor <- function(x,y,method) {
r <- cor.test(x,y,method=method)
paste(round(r$estimate,3),' (',round(r$p.value,3),')',sep='')
}
x <- t(x)
nx <- length(x[,1])
cx <- length(x[1,])
mymedian <- median(as.numeric(strsplit(par1,' ')[[1]]))
myresult <- array(NA, dim = c(cx,7))
rownames(myresult) <- paste('Q',1:cx,sep='')
colnames(myresult) <- c('mean','Sum of
positives (Ps)','Sum of
negatives (Ns)', '(Ps-Ns)/(Ps+Ns)', 'Count of
positives (Pc)', 'Count of
negatives (Nc)', '(Pc-Nc)/(Pc+Nc)')
for (i in 1:cx) {
spos <- 0
sneg <- 0
cpos <- 0
cneg <- 0
for (j in 1:nx) {
if (!is.na(x[j,i])) {
myx <- as.numeric(x[j,i]) - mymedian
if (myx > 0) {
spos = spos + myx
cpos = cpos + 1
}
if (myx < 0) {
sneg = sneg + abs(myx)
cneg = cneg + 1
}
}
}
myresult[i,1] <- round(mean(as.numeric(x[,i]),na.rm=T)-mymedian,2)
myresult[i,2] <- spos
myresult[i,3] <- sneg
myresult[i,4] <- round((spos - sneg) / (spos + sneg),2)
myresult[i,5] <- cpos
myresult[i,6] <- cneg
myresult[i,7] <- round((cpos - cneg) / (cpos + cneg),2)
}
myresult
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Summary of survey scores (median of Likert score was subtracted)',8,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Question',header=TRUE)
for (i in 1:7) {
a<-table.element(a,colnames(myresult)[i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:cx) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
for (j in 1:7) {
a<-table.element(a,myresult[i,j],align='right')
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Pearson correlations of survey scores (and p-values)',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'',header=TRUE)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,'(Ps-Ns)/(Ps+Ns)',header=TRUE)
a<-table.element(a,'(Pc-Nc)/(Pc+Nc)',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,docor(myresult[,1],myresult[,1],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,1],myresult[,4],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,1],myresult[,7],method='pearson'),align='right')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'(Ps-Ns)/(Ps+Ns)',header=TRUE)
a<-table.element(a,docor(myresult[,4],myresult[,1],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,4],myresult[,4],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,4],myresult[,7],method='pearson'),align='right')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'(Pc-Nc)/(Pc+Nc)',header=TRUE)
a<-table.element(a,docor(myresult[,7],myresult[,1],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,7],myresult[,4],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,7],myresult[,7],method='pearson'),align='right')
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Kendall tau rank correlations of survey scores (and p-values)',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'',header=TRUE)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,'(Ps-Ns)/(Ps+Ns)',header=TRUE)
a<-table.element(a,'(Pc-Nc)/(Pc+Nc)',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,docor(myresult[,1],myresult[,1],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,1],myresult[,4],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,1],myresult[,7],method='kendall'),align='right')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'(Ps-Ns)/(Ps+Ns)',header=TRUE)
a<-table.element(a,docor(myresult[,4],myresult[,1],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,4],myresult[,4],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,4],myresult[,7],method='kendall'),align='right')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'(Pc-Nc)/(Pc+Nc)',header=TRUE)
a<-table.element(a,docor(myresult[,7],myresult[,1],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,7],myresult[,4],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,7],myresult[,7],method='kendall'),align='right')
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable2.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code