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*The author of this computation has been verified*

R Software Module

rwasp_surveyscores.wasp

Title produced by software

Survey Scores

Date of computation

Sat, 04 Dec 2010 10:08:25 +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/04/t12914572071h9anejikzdidgw.htm/, Retrieved Sat, 04 May 2024 21:28:18 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=105067, Retrieved Sat, 04 May 2024 21:28:18 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

150

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

-     [Survey Scores] [Intrinsic Motivat...] [2010-10-12 11:23:25] [b98453cac15ba1066b407e146608df68]
- R PD    [Survey Scores] [p_Stress_SC1Dep] [2010-12-04 10:08:25] [fca744d17b21beb005bf086e7071b2bb] [Current]
-    D      [Survey Scores] [p_stress_SC2Dep] [2010-12-20 22:30:56] [19f9551d4d95750ef21e9f3cf8fe2131] 
-    D        [Survey Scores] [Survey scores dep...] [2010-12-24 15:27:41] [8ec018d7298e4a3ae278d8b7199e08b6] 

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Dataseries X:

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Histogram

Boxplots

1	1	2	2	1	3	2
1	1	1	3	1	4	2
1	1	2	2	3	3	2
2	1	2	1	2	3	1
2	2	3	3	3	1	3
1	1	2	2	2	4	2
3	4	4	1	3	2	3
1	1	2	1	2	3	1
1	1	1	2	2	4	1
1	2	1	2	2	3	2
1	1	1	1	1	4	3
1	1	1	1	1	4	1
1	2	3	2	3	3	1
1	1	1	2	2	4	1
2	1	2	1	3	3	2
2	1	2	2	1	3	3
1	1	1	2	1	4	3
1	1	1	2	2	4	1
1	2	1	1	1	3	4
1	1	1	1	0	4	1
1	1	2	2	2	3	1
2	2	2	2	2	4	2
1	1	1	1	1	3	3
1	1	1	1	2	4	1
1	1	1	2	2	4	2
1	2	1	2	3	3	3
3	1	2	1	1	3	2
1	1	1	1	2	4	1
1	2	2	3	1	3	3
1	1	2	2	1	4	1
1	1	1	2	1	3	2
1	1	2	1	2	3	3
1	1	1	1	1	4	1
3	2	2	3	2	2	4
2	1	2	1	2	4	2
1	1	1	2	2	4	1
1	1	1	2	1	3	1
2	1	1	1	1	4	1
2	1	2	1	3	4	3
1	1	1	1	1	4	1
1	1	1	2	2	3	1
2	1	2	2	1	3	2
1	1	1	2	2	3	1
1	1	2	2	1	4	2
1	1	2	1	1	3	1
2	1	2	2	3	3	1
2	2	3	4	3	4	2
1	2	2	2	2	3	2
1	1	1	1	3	4	2
2	1	1	3	2	3	0
1	1	2	3	2	3	1
1	2	1	1	1	4	1
1	1	1	1	1	4	3
1	1	2	3	3	3	2
3	2	3	2	3	2	3
1	1	2	3	2	4	1
2	1	2	3	1	4	1
1	1	2	3	2	2	1
1	1	2	2	2	3	2
1	1	2	1	1	3	2
2	2	2	3	2	2	2
1	1	1	3	1	4	3
1	1	2	3	2	3	1
2	2	2	2	2	3	1
2	1	2	1	2	3	2
1	1	2	2	4	3	2
1	1	1	3	3	3	1
1	1	2	1	1	4	2
1	1	1	2	2	4	2
1	2	2	1	2	3	2
2	2	3	2	2	2	2
2	1	1	2	2	4	3
1	1	1	1	2	4	1
3	1	2	1	1	4	1
1	1	1	3	1	4	1
1	1	1	2	1	4	1
1	1	2	1	4	4	1
1	1	3	2	2	4	1
1	1	1	2	2	4	4
1	1	2	1	3	3	2
2	3	3	3	4	3	4
1	1	2	2	1	4	4
2	1	2	1	3	3	3
2	1	2	1	1	3	3
2	1	2	2	2	2	2
1	1	0	2	1	4	3
1	1	2	1	1	4	3
2	1	2	2	3	3	3
1	1	1	2	2	4	2
1	1	2	2	2	4	1
1	1	2	1	2	4	1
1	1	2	1	2	4	1
2	2	2	3	2	4	3
1	1	1	2	2	3	2
1	1	1	1	1	4	4
2	1	2	3	2	4	4
3	2	3	2	3	3	3
1	1	1	2	2	4	2
3	2	2	2	1	2	1
3	3	3	3	4	2	4
2	2	2	2	2	3	1
2	2	2	2	2	3	2
2	1	1	1	1	3	2
3	1	2	1	2	4	4
2	1	1	2	2	4	2
1	1	1	1	3	4	1
1	1	2	2	2	2	2
1	1	1	1	2	4	1
1	1	1	3	4	4	3
2	2	3	3	1	3	1
2	1	1	2	2	3	3
1	1	1	1	2	4	3
1	1	1	1	1	4	1
2	1	1	1	1	3	2
1	1	1	1	1	4	1
1	1	1	1	1	4	3
1	1	1	2	2	4	2
2	1	1	1	2	3	3
1	2	1	1	1	3	2
3	2	2	3	3	3	4
1	1	1	2	2	4	1
2	1	2	1	3	4	1
1	1	2	2	3	4	3
4	4	4	3	2	2	2
2	1	2	2	2	3	2
2	2	2	2	2	3	3
1	1	1	1	2	4	3
1	1	1	2	2	4	3
1	1	1	4	1	4	4
1	1	1	1	3	3	2
1	1	2	2	2	3	1
2	1	1	2	2	4	1
1	1	2	1	3	4	2
1	1	1	1	3	3	3
2	2	3	1	1	2	4
1	1	1	2	2	4	2
1	1	1	2	2	4	3
2	3	3	2	2	1	2
2	1	2	1	3	3	3
2	1	1	2	1	3	4
1	1	1	2	2	4	2
1	1	1	1	2	4	1

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' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=105067&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=105067&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105067&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' @ 72.249.127.135

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	-1.55	1	221	-0.99	1	131	-0.98
2	-1.73	2	248	-0.98	2	137	-0.97
3	-1.36	2	195	-0.98	2	128	-0.97
4	-1.2	2	172	-0.98	2	117	-0.97
5	-1.08	5	158	-0.94	5	112	-0.91
6	0.39	71	16	0.63	71	14	0.67
7	-0.95	13	148	-0.84	13	96	-0.76

\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 & -1.55 & 1 & 221 & -0.99 & 1 & 131 & -0.98 \tabularnewline
2 & -1.73 & 2 & 248 & -0.98 & 2 & 137 & -0.97 \tabularnewline
3 & -1.36 & 2 & 195 & -0.98 & 2 & 128 & -0.97 \tabularnewline
4 & -1.2 & 2 & 172 & -0.98 & 2 & 117 & -0.97 \tabularnewline
5 & -1.08 & 5 & 158 & -0.94 & 5 & 112 & -0.91 \tabularnewline
6 & 0.39 & 71 & 16 & 0.63 & 71 & 14 & 0.67 \tabularnewline
7 & -0.95 & 13 & 148 & -0.84 & 13 & 96 & -0.76 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=105067&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]-1.55[/C][C]1[/C][C]221[/C][C]-0.99[/C][C]1[/C][C]131[/C][C]-0.98[/C][/ROW]
[ROW][C]2[/C][C]-1.73[/C][C]2[/C][C]248[/C][C]-0.98[/C][C]2[/C][C]137[/C][C]-0.97[/C][/ROW]
[ROW][C]3[/C][C]-1.36[/C][C]2[/C][C]195[/C][C]-0.98[/C][C]2[/C][C]128[/C][C]-0.97[/C][/ROW]
[ROW][C]4[/C][C]-1.2[/C][C]2[/C][C]172[/C][C]-0.98[/C][C]2[/C][C]117[/C][C]-0.97[/C][/ROW]
[ROW][C]5[/C][C]-1.08[/C][C]5[/C][C]158[/C][C]-0.94[/C][C]5[/C][C]112[/C][C]-0.91[/C][/ROW]
[ROW][C]6[/C][C]0.39[/C][C]71[/C][C]16[/C][C]0.63[/C][C]71[/C][C]14[/C][C]0.67[/C][/ROW]
[ROW][C]7[/C][C]-0.95[/C][C]13[/C][C]148[/C][C]-0.84[/C][C]13[/C][C]96[/C][C]-0.76[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=105067&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105067&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	-1.55	1	221	-0.99	1	131	-0.98
2	-1.73	2	248	-0.98	2	137	-0.97
3	-1.36	2	195	-0.98	2	128	-0.97
4	-1.2	2	172	-0.98	2	117	-0.97
5	-1.08	5	158	-0.94	5	112	-0.91
6	0.39	71	16	0.63	71	14	0.67
7	-0.95	13	148	-0.84	13	96	-0.76

Pearson correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0)	0.944 (0.001)	0.952 (0.001)
(Ps-Ns)/(Ps+Ns)	0.944 (0.001)	1 (0)	0.999 (0)
(Pc-Nc)/(Pc+Nc)	0.952 (0.001)	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) & 0.944 (0.001) & 0.952 (0.001) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.944 (0.001) & 1 (0) & 0.999 (0) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.952 (0.001) & 0.999 (0) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=105067&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]0.944 (0.001)[/C][C]0.952 (0.001)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.944 (0.001)[/C][C]1 (0)[/C][C]0.999 (0)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.952 (0.001)[/C][C]0.999 (0)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=105067&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105067&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)	0.944 (0.001)	0.952 (0.001)
(Ps-Ns)/(Ps+Ns)	0.944 (0.001)	1 (0)	0.999 (0)
(Pc-Nc)/(Pc+Nc)	0.952 (0.001)	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)	0.823 (0.012)	0.823 (0.012)
(Ps-Ns)/(Ps+Ns)	0.823 (0.012)	1 (0.003)	1 (0.003)
(Pc-Nc)/(Pc+Nc)	0.823 (0.012)	1 (0.003)	1 (0.003)

\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) & 0.823 (0.012) & 0.823 (0.012) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.823 (0.012) & 1 (0.003) & 1 (0.003) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.823 (0.012) & 1 (0.003) & 1 (0.003) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=105067&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]0.823 (0.012)[/C][C]0.823 (0.012)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.823 (0.012)[/C][C]1 (0.003)[/C][C]1 (0.003)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.823 (0.012)[/C][C]1 (0.003)[/C][C]1 (0.003)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=105067&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105067&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)	0.823 (0.012)	0.823 (0.012)
(Ps-Ns)/(Ps+Ns)	0.823 (0.012)	1 (0.003)	1 (0.003)
(Pc-Nc)/(Pc+Nc)	0.823 (0.012)	1 (0.003)	1 (0.003)

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