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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_surveyscores.wasp
Title produced by softwareSurvey Scores
Date of computationWed, 08 Dec 2010 19:22:04 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/08/t129183603184q9oleadd1qf7p.htm/, Retrieved Fri, 03 May 2024 09:28:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=107096, Retrieved Fri, 03 May 2024 09:28:26 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact135

Tree of Dependent Computations

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 11:18:40] [b98453cac15ba1066b407e146608df68]
- R PD    [Survey Scores] [] [2010-12-08 19:22:04] [6ff6d3268c67efbfcd6d6506b34b66fb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3	3	3	2
3	3	3	3
4	4	4	3
3	3	3	3
3	2	2	3
3	3	3	3
3	4	4	2
2	2	2	3
3	3	3	3
3	4	2	4
3	3	2	3
3	3	2	3
3	4	4	2
3	2	3	3
3	3	2	3
2	2	3	3
3	4	4	3
2	2	2	2
1	1	2	4
2	3	3	3
3	4	4	2
3	2	3	3
3	3	3	3
3	3	4	2
3	4	4	2
2	3	2	4
3	3	3	2
3	4	3	3
4	4	4	2
3	4	4	4
3	3	3	3
3	4	3	2
3	3	2	3
2	2	2	3
3	4	4	1
3	3	3	3
3	2	2	3
3	4	3	3
4	4	4	2
3	4	4	3
1	2	1	5
2	2	2	4
3	3	2	3
4	4	4	2
4	5	4	2
2	2	2	3
1	3	3	4
3	3	3	2
3	2	2	3
1	2	1	4
3	3	3	3
2	2	2	4
3	4	4	3
3	3	3	3
2	3	4	4
4	4	4	2
1	1	4	4
3	4	4	2
2	2	1	4
4	4	4	2
3	4	4	3
4	4	4	2
3	2	1	3
3	4	4	3
3	2	3	3
3	4	3	3
3	4	4	2
1	1	1	4
3	4	4	2
3	4	3	3
3	3	3	4
2	3	2	2
3	3	3	3
3	3	3	3
3	3	3	3
2	3	4	3
3	4	3	2
2	1	1	4
3	4	3	2
3	3	4	2
2	3	3	4
2	4	4	3
3	3	3	3
2	2	2	3
3	3	3	3
4	4	4	2
2	3	3	4
3	4	4	3
2	3	3	4
4	4	4	2
3	4	4	2
3	3	3	3
3	2	2	3
3	1	1	3
2	2	2	4
3	2	2	2
4	3	3	3
4	4	4	2
4	4	4	2
3	3	5	3
3	3	2	3
1	1	1	5
4	3	3	2
1	3	3	4
3	4	4	3
2	2	2	4
2	2	2	4
3	3	2	3
3	3	3	3
2	3	3	3
3	4	4	3
3	4	4	2
4	4	4	2
4	4	4	2
3	2	2	2
3	3	3	1
3	4	3	2
3	3	3	3
3	4	4	3
1	2	3	4
2	4	4	3
4	4	4	2
3	3	3	3
4	4	4	2
3	3	3	3
2	3	3	3
1	1	1	5
4	4	4	2
3	4	4	2
3	2	2	3
3	3	2	1
4	4	4	3
3	3	3	3
3	4	4	3
1	2	2	4
4	5	5	1
2	3	3	2
2	4	4	4
3	3	3	2
3	4	4	2
2	2	2	4
3	3	3	3
3	3	1	3
2	2	2	4
3	4	4	2
4	4	4	2
4	3	3	3
4	4	4	2
2	2	2	3
3	4	4	3
3	4	4	3
3	3	3	3

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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=107096&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=107096&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107096&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Summary of survey scores (median of Likert score was subtracted)
QuestionmeanSum ofpositives (Ps)Sum ofnegatives (Ns)(Ps-Ns)/(Ps+Ns)Count ofpositives (Pc)Count ofnegatives (Nc)(Pc-Nc)/(Pc+Nc)
1-0.182452-0.372441-0.26
20.1161440.1659370.23
30.0358530.0556430.13
4-0.143254-0.262950-0.27

\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 & -0.18 & 24 & 52 & -0.37 & 24 & 41 & -0.26 \tabularnewline
2 & 0.11 & 61 & 44 & 0.16 & 59 & 37 & 0.23 \tabularnewline
3 & 0.03 & 58 & 53 & 0.05 & 56 & 43 & 0.13 \tabularnewline
4 & -0.14 & 32 & 54 & -0.26 & 29 & 50 & -0.27 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107096&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]-0.18[/C][C]24[/C][C]52[/C][C]-0.37[/C][C]24[/C][C]41[/C][C]-0.26[/C][/ROW]
[ROW][C]2[/C][C]0.11[/C][C]61[/C][C]44[/C][C]0.16[/C][C]59[/C][C]37[/C][C]0.23[/C][/ROW]
[ROW][C]3[/C][C]0.03[/C][C]58[/C][C]53[/C][C]0.05[/C][C]56[/C][C]43[/C][C]0.13[/C][/ROW]
[ROW][C]4[/C][C]-0.14[/C][C]32[/C][C]54[/C][C]-0.26[/C][C]29[/C][C]50[/C][C]-0.27[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107096&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107096&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of survey scores (median of Likert score was subtracted)
QuestionmeanSum ofpositives (Ps)Sum ofnegatives (Ns)(Ps-Ns)/(Ps+Ns)Count ofpositives (Pc)Count ofnegatives (Nc)(Pc-Nc)/(Pc+Nc)
1-0.182452-0.372441-0.26
20.1161440.1659370.23
30.0358530.0556430.13
4-0.143254-0.262950-0.27






Pearson correlations of survey scores (and p-values)
mean(Ps-Ns)/(Ps+Ns)(Pc-Nc)/(Pc+Nc)
mean1 (0)0.996 (0.004)0.987 (0.013)
(Ps-Ns)/(Ps+Ns)0.996 (0.004)1 (0)0.981 (0.019)
(Pc-Nc)/(Pc+Nc)0.987 (0.013)0.981 (0.019)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) & 0.996 (0.004) & 0.987 (0.013) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.996 (0.004) & 1 (0) & 0.981 (0.019) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.987 (0.013) & 0.981 (0.019) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107096&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]0.996 (0.004)[/C][C]0.987 (0.013)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.996 (0.004)[/C][C]1 (0)[/C][C]0.981 (0.019)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.987 (0.013)[/C][C]0.981 (0.019)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107096&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107096&T=2

As an alternative you can also use a QR Code:  
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)
mean1 (0)0.996 (0.004)0.987 (0.013)
(Ps-Ns)/(Ps+Ns)0.996 (0.004)1 (0)0.981 (0.019)
(Pc-Nc)/(Pc+Nc)0.987 (0.013)0.981 (0.019)1 (0)






Kendall tau rank correlations of survey scores (and p-values)
mean(Ps-Ns)/(Ps+Ns)(Pc-Nc)/(Pc+Nc)
mean1 (0.083)1 (0.083)0.667 (0.333)
(Ps-Ns)/(Ps+Ns)1 (0.083)1 (0.083)0.667 (0.333)
(Pc-Nc)/(Pc+Nc)0.667 (0.333)0.667 (0.333)1 (0.083)

\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 (0.083) & 1 (0.083) & 0.667 (0.333) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 1 (0.083) & 1 (0.083) & 0.667 (0.333) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.667 (0.333) & 0.667 (0.333) & 1 (0.083) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107096&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 (0.083)[/C][C]1 (0.083)[/C][C]0.667 (0.333)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]1 (0.083)[/C][C]1 (0.083)[/C][C]0.667 (0.333)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.667 (0.333)[/C][C]0.667 (0.333)[/C][C]1 (0.083)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107096&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107096&T=3

As an alternative you can also use a QR Code:  
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)
mean1 (0.083)1 (0.083)0.667 (0.333)
(Ps-Ns)/(Ps+Ns)1 (0.083)1 (0.083)0.667 (0.333)
(Pc-Nc)/(Pc+Nc)0.667 (0.333)0.667 (0.333)1 (0.083)


Figures (Output of Computation)

Input Parameters & R Code

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')