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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_surveyscores.wasp
Title produced by softwareSurvey Scores
Date of computationSat, 06 Dec 2014 18:54:18 +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/2014/Dec/06/t1417892077mog71u0830xmceg.htm/, Retrieved Thu, 31 Oct 2024 23:09:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=263673, Retrieved Thu, 31 Oct 2024 23:09:21 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact95
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] [] [2011-10-18 12:18:26] [b98453cac15ba1066b407e146608df68]
- RMPD      [Survey Scores] [] [2014-12-06 18:54:18] [bcb5b2244e18c223160d6809eb45aeed] [Current]
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Dataseries X:
4 2 2 3
4 5 3 3
4 5 5 5
3 3 5 5
6 6 6 6
4 4 4 3
4 4 4 5
5 5 5 4
5 3 6 5
7 7 7 7
7 6 7 6
3 4 3 5
7 7 6 6
2 3 5 6
5 5 7 7
6 5 7 7
5 5 6 6
4 3 4 4
6 5 5 5
5 5 6 6
7 6 7 7
7 5 7 7
7 7 6 6
6 6 5 5
5 4 6 6
5 6 5 6
4 5 6 5
5 6 4 6
5 5 5 5
6 5 5 6
6 5 4 6
2 2 2 2
6 5 6 5
4 4 5 5
3 5 7 5
6 6 6 6
4 5 4 4
3 5 5 7
7 6 5 5
5 5 5 5
5 5 6 6
4 4 5 6
4 4 4 3
6 3 5 6
5 5 6 6
5 2 4 6
4 2 4 4
7 5 6 6
4 5 4 4
6 5 5 7
6 6 6 7
4 4 4 4
5 3 5 5
5 4 6 5
4 4 5 5
5 6 6 6
6 6 6 6
5 6 6 6
5 3 2 3
4 5 5 6
6 4 5 5
5 5 5 4
6 5 6 5
4 5 6 7
3 3 4 5
5 4 4 4
5 5 4 5
5 5 5 5
4 6 6 6
5 4 6 6
5 4 5 7
5 4 3 4
5 5 5 5
5 6 5 5
6 5 4 5
6 5 6 6
3 2 5 5
5 1 6 6
6 5 5 6
2 3 6 5
4 4 4 5
6 7 6 5
4 3 3 3
4 5 5 5
5 5 4 6
5 5 6 6
4 4 6 5
4 5 5 7
3 4 4 4
5 5 6 5
6 6 6 6
5 5 5 7
4 5 5 6
5 5 6 5
4 4 5 6
4 2 5 3
4 7 7 7
2 2 4 3
4 5 4 4
4 6 6 6
5 5 5 5
7 5 6 4
4 3 3 5
6 6 5 6
5 5 6 4
4 5 6 7
2 5 5 4
6 6 6 7
4 4 5 5
4 4 4 7
7 7 4 7
6 5 5 5
5 6 5 6
5 6 5 5
6 5 5 6
6 6 5 6




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263673&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263673&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263673&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net







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)
10.84115170.7471120.71
20.7109280.5976190.6
31.09138110.858680.83
41.34165100.899390.82

\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 & 0.84 & 115 & 17 & 0.74 & 71 & 12 & 0.71 \tabularnewline
2 & 0.7 & 109 & 28 & 0.59 & 76 & 19 & 0.6 \tabularnewline
3 & 1.09 & 138 & 11 & 0.85 & 86 & 8 & 0.83 \tabularnewline
4 & 1.34 & 165 & 10 & 0.89 & 93 & 9 & 0.82 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263673&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]0.84[/C][C]115[/C][C]17[/C][C]0.74[/C][C]71[/C][C]12[/C][C]0.71[/C][/ROW]
[ROW][C]2[/C][C]0.7[/C][C]109[/C][C]28[/C][C]0.59[/C][C]76[/C][C]19[/C][C]0.6[/C][/ROW]
[ROW][C]3[/C][C]1.09[/C][C]138[/C][C]11[/C][C]0.85[/C][C]86[/C][C]8[/C][C]0.83[/C][/ROW]
[ROW][C]4[/C][C]1.34[/C][C]165[/C][C]10[/C][C]0.89[/C][C]93[/C][C]9[/C][C]0.82[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263673&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263673&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)
QuestionmeanSum ofpositives (Ps)Sum ofnegatives (Ns)(Ps-Ns)/(Ps+Ns)Count ofpositives (Pc)Count ofnegatives (Nc)(Pc-Nc)/(Pc+Nc)
10.84115170.7471120.71
20.7109280.5976190.6
31.09138110.858680.83
41.34165100.899390.82







Pearson correlations of survey scores (and p-values)
mean(Ps-Ns)/(Ps+Ns)(Pc-Nc)/(Pc+Nc)
mean1 (0)0.939 (0.061)0.898 (0.102)
(Ps-Ns)/(Ps+Ns)0.939 (0.061)1 (0)0.986 (0.014)
(Pc-Nc)/(Pc+Nc)0.898 (0.102)0.986 (0.014)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) & 0.939 (0.061) & 0.898 (0.102) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.939 (0.061) & 1 (0) & 0.986 (0.014) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.898 (0.102) & 0.986 (0.014) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263673&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]0.939 (0.061)[/C][C]0.898 (0.102)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.939 (0.061)[/C][C]1 (0)[/C][C]0.986 (0.014)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.898 (0.102)[/C][C]0.986 (0.014)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263673&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263673&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)
mean1 (0)0.939 (0.061)0.898 (0.102)
(Ps-Ns)/(Ps+Ns)0.939 (0.061)1 (0)0.986 (0.014)
(Pc-Nc)/(Pc+Nc)0.898 (0.102)0.986 (0.014)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=263673&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=263673&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263673&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)
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)



Parameters (Session):
Parameters (R input):
par1 = 1 2 3 4 5 6 7 ;
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')