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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 computationFri, 15 Oct 2010 11:46:49 +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/Oct/15/t12871431213zjxz2g2nqboh22.htm/, Retrieved Sat, 04 May 2024 17:12:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=83440, Retrieved Sat, 04 May 2024 17:12:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact206

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]
-   PD  [Survey Scores] [Workshop 3 - Extr...] [2010-10-15 09:26:56] [6f0e7a2d1a07390e3505a2db8288f975]
-   PD      [Survey Scores] [Workshop 3 - Extr...] [2010-10-15 11:46:49] [708f372e2a7a3c78ea31b4de2d1213f8] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7	5	7
5	5	5
6	5	5
6	6	6
6	6	6
5	5	7
7	5	6
6	6	7
7	7	7
6	6	6
7	7	7
7	6	7
6	6	5
6	6	6
7	6	7
6	6	6
7	7	7
7	7	7
7	7	7
7	6	6
5	5	4
7	7	7
5	5	6
6	7	7
7	6	7
6	2	5
6	2	5
6	7	7
6	4	6
6	4	6
6	5	6
5	5	6
3	4	1
3	7	5
5	7	7
6	4	5
7	7	7
7	4	5
7	6	7
6	6	6
7	6	7
7	6	6
6	6	6
6	7	5
5	6	6
6	6	6
6	4	5
7	7	7
6	6	6
7	7	7
6	6	5
5	7	5
7	7	7
4	2	3
7	6	6
5	6	6
6	5	5
7	6	6
7	6	6
7	6	7
7	6	7
6	6	6
6	4	5
6	3	4
4	4	5
6	7	6
6	6	6
7	6	7
7	7	6
7	7	7
7	7	7
7	5	7
6	6	6
5	3	5
7	6	7
5	5	5
5	5	5
7	6	6
7	6	7
2	4	3
6	4	4
6	5	5
6	6	6
6	5	6
5	5	6
6	6	6
7	7	7
5	5	7
7	7	7
6	7	7
5	2	2
6	5	5
7	4	6
7	7	6
6	6	6
7	7	7
6	5	5
5	5	5
5	4	6
6	7	6
6	5	7
6	4	4
6	6	6
6	6	6
5	5	5
5	5	5
5	3	5
7	5	6
7	6	7
6	6	6
7	7	7
7	7	7
4	5	5
5	5	6
7	6	7
7	4	7
7	7	7
6	5	7
5	6	5
7	7	7
4	7	7
6	6	6
6	6	5
3	4	5
7	7	7
6	6	7
7	5	6
6	6	6
5	5	6
6	5	6
6	6	6
7	6	6
6	4	5
7	6	6
6	7	7
6	6	6
7	7	7
7	7	7
7	6	6
7	5	6
6	5	7
7	5	5
7	7	5
6	3	6
7	6	7
6	5	5
7	7	7
6	4	5
5	6	6
4	4	5
7	6	7
7	7	7
5	4	5
7	6	7
6	7	6
5	5	6
6	6	6
7	4	7
7	4	6
6	6	5
5	4	5
6	3	5

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83440&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 Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83440&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83440&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






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)
12.0834250.9715340.95
21.56266130.9113190.87
31.9632570.9615440.95

\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 & 2.08 & 342 & 5 & 0.97 & 153 & 4 & 0.95 \tabularnewline
2 & 1.56 & 266 & 13 & 0.91 & 131 & 9 & 0.87 \tabularnewline
3 & 1.96 & 325 & 7 & 0.96 & 154 & 4 & 0.95 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83440&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]2.08[/C][C]342[/C][C]5[/C][C]0.97[/C][C]153[/C][C]4[/C][C]0.95[/C][/ROW]
[ROW][C]2[/C][C]1.56[/C][C]266[/C][C]13[/C][C]0.91[/C][C]131[/C][C]9[/C][C]0.87[/C][/ROW]
[ROW][C]3[/C][C]1.96[/C][C]325[/C][C]7[/C][C]0.96[/C][C]154[/C][C]4[/C][C]0.95[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83440&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83440&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)
12.0834250.9715340.95
21.56266130.9113190.87
31.9632570.9615440.95






Pearson correlations of survey scores (and p-values)
mean(Ps-Ns)/(Ps+Ns)(Pc-Nc)/(Pc+Nc)
mean1 (0)0.998 (0.042)0.975 (0.141)
(Ps-Ns)/(Ps+Ns)0.998 (0.042)1 (0)0.988 (0.099)
(Pc-Nc)/(Pc+Nc)0.975 (0.141)0.988 (0.099)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) & 0.998 (0.042) & 0.975 (0.141) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.998 (0.042) & 1 (0) & 0.988 (0.099) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.975 (0.141) & 0.988 (0.099) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83440&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]0.998 (0.042)[/C][C]0.975 (0.141)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.998 (0.042)[/C][C]1 (0)[/C][C]0.988 (0.099)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.975 (0.141)[/C][C]0.988 (0.099)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83440&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83440&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)0.998 (0.042)0.975 (0.141)
(Ps-Ns)/(Ps+Ns)0.998 (0.042)1 (0)0.988 (0.099)
(Pc-Nc)/(Pc+Nc)0.975 (0.141)0.988 (0.099)1 (0)






Kendall tau rank correlations of survey scores (and p-values)
mean(Ps-Ns)/(Ps+Ns)(Pc-Nc)/(Pc+Nc)
mean1 (0.333)1 (0.333)0.816 (0.221)
(Ps-Ns)/(Ps+Ns)1 (0.333)1 (0.333)0.816 (0.221)
(Pc-Nc)/(Pc+Nc)0.816 (0.221)0.816 (0.221)1 (0.157)

\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 (0.333) & 1 (0.333) & 0.816 (0.221) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 1 (0.333) & 1 (0.333) & 0.816 (0.221) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.816 (0.221) & 0.816 (0.221) & 1 (0.157) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83440&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 (0.333)[/C][C]1 (0.333)[/C][C]0.816 (0.221)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]1 (0.333)[/C][C]1 (0.333)[/C][C]0.816 (0.221)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.816 (0.221)[/C][C]0.816 (0.221)[/C][C]1 (0.157)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83440&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83440&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 (0.333)1 (0.333)0.816 (0.221)
(Ps-Ns)/(Ps+Ns)1 (0.333)1 (0.333)0.816 (0.221)
(Pc-Nc)/(Pc+Nc)0.816 (0.221)0.816 (0.221)1 (0.157)


Figures (Output of Computation)

Input Parameters & R Code

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