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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, 11 Dec 2010 09:50:46 +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/2010/Dec/11/t1292061061q8yhggmf75vgt2s.htm/, Retrieved Mon, 06 May 2024 23:31:33 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=108032, Retrieved Mon, 06 May 2024 23:31:33 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

115

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

-       [Survey Scores] [Quasia interval s...] [2010-12-11 09:50:46] [7b4029fa8534fd52dfa7d68267386cff] [Current]

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Dataseries X:

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Histogram

Boxplots

5	4	5	4	4	4
4	4	4	4	3	4
4	4	5	4	3	5
4	4	4	4	3	4
2	4	3	4	4	2
5	5	5	5	4	5
5	4	4	4	4	4
4	3	4	3	3	4
3	4	4	4	4	3
4	4	4	5	4	4
4	4	4	4	4	4
NA	4	4	4	4	2
3	4	4	4	4	3
3	2	3	2	2	3
4	3	4	4	3	4
5	4	5	5	4	5
4	3	4	2	3	4
2	2	2	2	2	2
4	4	4	4	4	4
4	3	4	2	3	4
4	3	4	3	3	4
4	4	4	4	2	2
4	3	4	3	3	4
4	3	4	4	4	4
5	4	5	5	4	5
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	3	4
4	5	5	5	5	5
4	4	4	4	4	4
2	4	2	4	4	2
4	4	5	4	4	4
4	3	4	3	3	4
5	4	5	4	4	4
5	3	4	3	3	4
4	4	4	3	3	4
3	4	4	4	4	3
4	3	4	4	4	4
5	5	5	5	5	5
4	4	4	4	3	4
4	3	4	2	2	2
5	3	5	3	3	4
4	3	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	3	4
3	4	4	4	4	2
4	4	4	4	4	4
4	4	4	4	4	4
4	5	5	4	5	5
2	3	3	3	2	3
3	3	4	4	3	3
5	5	5	5	5	4
4	5	5	4	5	4
4	4	4	4	2	4
5	4	5	5	4	5
3	3	2	3	2	3
5	4	4	4	4	4
4	4	4	4	4	4
5	5	4	5	4	5
4	4	4	4	4	4
4	4	4	4	3	4
5	5	5	5	5	5
4	4	4	4	4	4
4	3	4	4	2	4
5	4	4	4	4	4
4	4	4	4	4	5
3	4	3	4	4	4
4	4	4	4	3	4
5	4	5	4	4	4
5	4	5	2	3	4
5	4	4	4	4	4
4	3	4	4	3	3
4	4	5	4	4	4
5	3	4	4	4	4
5	5	5	4	5	5
4	4	3	4	4	3
5	5	4	5	4	4
3	5	4	5	5	4
4	4	4	4	3	3
4	4	4	4	4	4
4	4	5	5	5	4
4	4	4	4	4	4
4	4	4	4	4	4
5	5	5	5	4	5
4	4	3	3	4	4
4	3	4	3	3	4
4	4	4	4	4	4
5	3	5	3	3	5
3	4	4	4	4	4
3	4	3	4	3	3
5	4	5	4	4	5
5	4	5	4	4	4
4	4	5	4	4	4
4	3	4	3	3	4
4	3	4	3	3	4
4	3	4	2	3	3
4	3	4	3	3	4
4	3	4	3	3	4
4	2	2	2	4	2
4	3	4	3	4	4
5	5	5	5	4	5
2	2	2	4	3	2
4	2	3	3	2	3
2	3	2	3	3	2
4	3	4	4	3	3
5	NA	4	4	4	4
3	4	3	4	3	2
4	4	4	4	4	4
3	3	4	4	4	2
4	2	3	3	2	3
4	3	5	3	3	5
4	4	4	4	4	4
2	2	2	4	2	2
1	4	3	4	3	4
4	4	4	4	4	4
3	2	2	2	2	2
4	3	4	4	4	3
3	3	3	2	2	3
3	3	4	3	3	3
5	4	4	4	4	4
4	4	4	5	4	4
3	4	4	4	4	4
4	3	5	4	4	4
4	4	5	4	4	5
4	4	5	4	4	5
4	4	5	4	4	4
3	2	4	4	2	3
4	4	4	4	2	3
4	5	5	4	4	4
4	4	4	4	3	4
4	4	4	4	4	3
4	4	4	4	2	4
3	3	4	4	3	3
4	1	2	2	2	2
4	4	4	4	4	4
2	3	2	3	3	2
2	3	3	2	2	2
4	3	4	3	4	4
2	1	1	3	2	1
4	4	4	4	4	4
3	5	3	3	4	4
4	4	4	4	4	4
3	3	4	3	3	3
2	4	4	4	3	3
2	3	1	3	3	1
4	4	2	4	4	2
3	4	4	4	3	4
4	4	4	4	4	4
4	5	5	5	5	5
2	2	2	2	2	2
5	3	2	4	3	3
4	3	4	3	3	4
4	4	4	4	4	4
4	4	4	4	3	3
3	3	4	4	3	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	'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108032&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108032&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108032&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	'RServer@AstonUniversity' @ vre.aston.ac.uk

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	0.86	151	15	0.82	121	14	0.79
2	0.66	118	14	0.79	102	12	0.79
3	0.92	163	17	0.81	130	15	0.79
4	0.76	134	13	0.82	117	13	0.8
5	0.5	100	20	0.67	90	20	0.64
6	0.68	131	23	0.7	111	21	0.68

\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 & 0.86 & 151 & 15 & 0.82 & 121 & 14 & 0.79 \tabularnewline
2 & 0.66 & 118 & 14 & 0.79 & 102 & 12 & 0.79 \tabularnewline
3 & 0.92 & 163 & 17 & 0.81 & 130 & 15 & 0.79 \tabularnewline
4 & 0.76 & 134 & 13 & 0.82 & 117 & 13 & 0.8 \tabularnewline
5 & 0.5 & 100 & 20 & 0.67 & 90 & 20 & 0.64 \tabularnewline
6 & 0.68 & 131 & 23 & 0.7 & 111 & 21 & 0.68 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108032&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]0.86[/C][C]151[/C][C]15[/C][C]0.82[/C][C]121[/C][C]14[/C][C]0.79[/C][/ROW]
[ROW][C]2[/C][C]0.66[/C][C]118[/C][C]14[/C][C]0.79[/C][C]102[/C][C]12[/C][C]0.79[/C][/ROW]
[ROW][C]3[/C][C]0.92[/C][C]163[/C][C]17[/C][C]0.81[/C][C]130[/C][C]15[/C][C]0.79[/C][/ROW]
[ROW][C]4[/C][C]0.76[/C][C]134[/C][C]13[/C][C]0.82[/C][C]117[/C][C]13[/C][C]0.8[/C][/ROW]
[ROW][C]5[/C][C]0.5[/C][C]100[/C][C]20[/C][C]0.67[/C][C]90[/C][C]20[/C][C]0.64[/C][/ROW]
[ROW][C]6[/C][C]0.68[/C][C]131[/C][C]23[/C][C]0.7[/C][C]111[/C][C]21[/C][C]0.68[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108032&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108032&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	0.86	151	15	0.82	121	14	0.79
2	0.66	118	14	0.79	102	12	0.79
3	0.92	163	17	0.81	130	15	0.79
4	0.76	134	13	0.82	117	13	0.8
5	0.5	100	20	0.67	90	20	0.64
6	0.68	131	23	0.7	111	21	0.68

Pearson correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0)	0.814 (0.049)	0.765 (0.076)
(Ps-Ns)/(Ps+Ns)	0.814 (0.049)	1 (0)	0.988 (0)
(Pc-Nc)/(Pc+Nc)	0.765 (0.076)	0.988 (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) & 0.814 (0.049) & 0.765 (0.076) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.814 (0.049) & 1 (0) & 0.988 (0) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.765 (0.076) & 0.988 (0) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108032&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]0.814 (0.049)[/C][C]0.765 (0.076)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.814 (0.049)[/C][C]1 (0)[/C][C]0.988 (0)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.765 (0.076)[/C][C]0.988 (0)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108032&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108032&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)	0.814 (0.049)	0.765 (0.076)
(Ps-Ns)/(Ps+Ns)	0.814 (0.049)	1 (0)	0.988 (0)
(Pc-Nc)/(Pc+Nc)	0.765 (0.076)	0.988 (0)	1 (0)

Kendall tau rank correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0.003)	0.552 (0.126)	0.447 (0.227)
(Ps-Ns)/(Ps+Ns)	0.552 (0.126)	1 (0.006)	0.849 (0.024)
(Pc-Nc)/(Pc+Nc)	0.447 (0.227)	0.849 (0.024)	1 (0.01)

\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 (0.003) & 0.552 (0.126) & 0.447 (0.227) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.552 (0.126) & 1 (0.006) & 0.849 (0.024) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.447 (0.227) & 0.849 (0.024) & 1 (0.01) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108032&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 (0.003)[/C][C]0.552 (0.126)[/C][C]0.447 (0.227)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.552 (0.126)[/C][C]1 (0.006)[/C][C]0.849 (0.024)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.447 (0.227)[/C][C]0.849 (0.024)[/C][C]1 (0.01)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108032&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108032&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 (0.003)	0.552 (0.126)	0.447 (0.227)
(Ps-Ns)/(Ps+Ns)	0.552 (0.126)	1 (0.006)	0.849 (0.024)
(Pc-Nc)/(Pc+Nc)	0.447 (0.227)	0.849 (0.024)	1 (0.01)

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