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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 computationSun, 14 Dec 2014 14:21:00 +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/14/t14185668729d8r9o00qv0lv7u.htm/, Retrieved Thu, 16 May 2024 15:00:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=267613, Retrieved Thu, 16 May 2024 15:00:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110

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 11:28:29] [b98453cac15ba1066b407e146608df68]
- RMP   [Survey Scores] [] [2014-10-09 22:12:20] [32b17a345b130fdf5cc88718ed94a974]
-    D    [Survey Scores] [E1] [2014-10-14 09:23:56] [36c866d94170840abc594fd3e7d5794f]
-   PD        [Survey Scores] [am] [2014-12-14 14:21:00] [4475d2f35de7f19e7f9792645feacf86] [Current]
Feedback Forum

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Dataset

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

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267613&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267613&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267613&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'Gertrude Mary Cox' @ cox.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)
1-2.551287-0.991111-0.98
2-2.218255-0.94699-0.89
3-2.70302-10112-1
4-2.712306-0.992109-0.96

\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 & -2.55 & 1 & 287 & -0.99 & 1 & 111 & -0.98 \tabularnewline
2 & -2.21 & 8 & 255 & -0.94 & 6 & 99 & -0.89 \tabularnewline
3 & -2.7 & 0 & 302 & -1 & 0 & 112 & -1 \tabularnewline
4 & -2.71 & 2 & 306 & -0.99 & 2 & 109 & -0.96 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267613&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]-2.55[/C][C]1[/C][C]287[/C][C]-0.99[/C][C]1[/C][C]111[/C][C]-0.98[/C][/ROW]
[ROW][C]2[/C][C]-2.21[/C][C]8[/C][C]255[/C][C]-0.94[/C][C]6[/C][C]99[/C][C]-0.89[/C][/ROW]
[ROW][C]3[/C][C]-2.7[/C][C]0[/C][C]302[/C][C]-1[/C][C]0[/C][C]112[/C][C]-1[/C][/ROW]
[ROW][C]4[/C][C]-2.71[/C][C]2[/C][C]306[/C][C]-0.99[/C][C]2[/C][C]109[/C][C]-0.96[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267613&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267613&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)
1-2.551287-0.991111-0.98
2-2.218255-0.94699-0.89
3-2.70302-10112-1
4-2.712306-0.992109-0.96






Pearson correlations of survey scores (and p-values)
mean(Ps-Ns)/(Ps+Ns)(Pc-Nc)/(Pc+Nc)
mean1 (0)0.96 (0.04)0.887 (0.113)
(Ps-Ns)/(Ps+Ns)0.96 (0.04)1 (0)0.977 (0.023)
(Pc-Nc)/(Pc+Nc)0.887 (0.113)0.977 (0.023)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) & 0.96 (0.04) & 0.887 (0.113) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.96 (0.04) & 1 (0) & 0.977 (0.023) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.887 (0.113) & 0.977 (0.023) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267613&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]0.96 (0.04)[/C][C]0.887 (0.113)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.96 (0.04)[/C][C]1 (0)[/C][C]0.977 (0.023)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.887 (0.113)[/C][C]0.977 (0.023)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267613&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267613&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)0.96 (0.04)0.887 (0.113)
(Ps-Ns)/(Ps+Ns)0.96 (0.04)1 (0)0.977 (0.023)
(Pc-Nc)/(Pc+Nc)0.887 (0.113)0.977 (0.023)1 (0)






Kendall tau rank correlations of survey scores (and p-values)
mean(Ps-Ns)/(Ps+Ns)(Pc-Nc)/(Pc+Nc)
mean1 (0.083)0.548 (0.279)0.333 (0.75)
(Ps-Ns)/(Ps+Ns)0.548 (0.279)1 (0.056)0.913 (0.071)
(Pc-Nc)/(Pc+Nc)0.333 (0.75)0.913 (0.071)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) & 0.548 (0.279) & 0.333 (0.75) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.548 (0.279) & 1 (0.056) & 0.913 (0.071) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.333 (0.75) & 0.913 (0.071) & 1 (0.083) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267613&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]0.548 (0.279)[/C][C]0.333 (0.75)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.548 (0.279)[/C][C]1 (0.056)[/C][C]0.913 (0.071)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.333 (0.75)[/C][C]0.913 (0.071)[/C][C]1 (0.083)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267613&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267613&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)0.548 (0.279)0.333 (0.75)
(Ps-Ns)/(Ps+Ns)0.548 (0.279)1 (0.056)0.913 (0.071)
(Pc-Nc)/(Pc+Nc)0.333 (0.75)0.913 (0.071)1 (0.083)


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = TRUE ;
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')