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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 computationSat, 13 Nov 2010 14:56:05 +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/Nov/13/t1289660075vrhp2goigb3niic.htm/, Retrieved Thu, 02 May 2024 10:54:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=94398, Retrieved Thu, 02 May 2024 10:54:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact170

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] [Question 1 Extrin...] [2010-10-15 10:55:08] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-   PD      [Survey Scores] [IC finding friends] [2010-11-13 14:56:05] [9ea95e194e0eb2a674315798620d5bc6] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4	4	5
4	4	4
3	3	4
4	2	3
3	3	4
4	4	4
4	5	4
4	4	4
4	4	4
2	2	2
2	2	1
4	4	4
4	4	3
4	5	5
4	5	5
3	4	5
4	3	5
4	4	3
3	4	4
2	2	3
2	4	3
4	4	3
3	4	4
4	4	4
4	4	4
3	4	4
3	4	4
2	3	3
3	3	3
4	4	4
3	3	4
3	4	3
4	4	4
0	4	4
4	4	4
3	4	4
4	4	4
2	3	2
3	4	4
4	4	3
4	4	4
3	3	3
5	5	5
3	4	4
3	4	4
4	4	3
4	4	3
5	5	5
3	4	4
4	4	4
4	4	4
2	3	4
4	4	4
4	4	4
4	5	4
3	4	4
3	3	3
3	3	3
2	4	5
4	4	3
4	4	4
4	4	4
3	3	3
4	3	4
3	3	3
4	4	4
4	4	4
4	4	4
4	4	4
4	5	5
4	3	4
4	4	4
4	3	4
2	2	2
3	4	3
4	4	4
4	5	4
3	2	3
4	4	4
4	4	4
4	4	4
3	0	3
3	4	4
3	3	4
3	4	5
4	5	4
4	2	5
2	2	3
4	4	3
3	4	4
4	3	4
3	4	4
4	4	4
3	4	3
3	4	4
4	4	4
3	2	2
4	4	5
2	4	2
4	4	4
4	4	3
4	4	4
4	5	5
4	4	2
3	4	3
4	4	5
3	3	4
4	4	3
3	4	3
0	4	3
3	4	3
2	3	3
4	4	4
4	4	4
4	4	4
1	5	5
4	4	4
4	4	4
4	4	4
3	4	4
4	4	4
4	4	3
3	4	4
4	4	5
4	4	4
4	4	4
4	4	4
4	4	4
3	3	2
3	1	4
4	4	4
4	4	3
4	4	4
4	4	5
4	4	4
4	4	4
4	4	3
4	4	4
4	4	4
3	3	4
3	4	4
4	4	4
4	4	4
2	4	4
4	4	4
4	4	5
4	4	4
5	5	5
4	4	3
4	4	4
4	4	3
4	4	4
4	3	4
4	3	3
4	4	3
4	3	4

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94398&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]0 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=94398&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94398&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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






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)
10.51101210.6698160.72
20.76132140.81120110.83
30.7712990.8711080.86

\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 & 0.51 & 101 & 21 & 0.66 & 98 & 16 & 0.72 \tabularnewline
2 & 0.76 & 132 & 14 & 0.81 & 120 & 11 & 0.83 \tabularnewline
3 & 0.77 & 129 & 9 & 0.87 & 110 & 8 & 0.86 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94398&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]0.51[/C][C]101[/C][C]21[/C][C]0.66[/C][C]98[/C][C]16[/C][C]0.72[/C][/ROW]
[ROW][C]2[/C][C]0.76[/C][C]132[/C][C]14[/C][C]0.81[/C][C]120[/C][C]11[/C][C]0.83[/C][/ROW]
[ROW][C]3[/C][C]0.77[/C][C]129[/C][C]9[/C][C]0.87[/C][C]110[/C][C]8[/C][C]0.86[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94398&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94398&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)
10.51101210.6698160.72
20.76132140.81120110.83
30.7712990.8711080.86






Pearson correlations of survey scores (and p-values)
mean(Ps-Ns)/(Ps+Ns)(Pc-Nc)/(Pc+Nc)
mean1 (0)0.97 (0.157)0.985 (0.109)
(Ps-Ns)/(Ps+Ns)0.97 (0.157)1 (0)0.997 (0.048)
(Pc-Nc)/(Pc+Nc)0.985 (0.109)0.997 (0.048)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) & 0.97 (0.157) & 0.985 (0.109) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.97 (0.157) & 1 (0) & 0.997 (0.048) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.985 (0.109) & 0.997 (0.048) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94398&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]0.97 (0.157)[/C][C]0.985 (0.109)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.97 (0.157)[/C][C]1 (0)[/C][C]0.997 (0.048)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.985 (0.109)[/C][C]0.997 (0.048)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94398&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94398&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)0.97 (0.157)0.985 (0.109)
(Ps-Ns)/(Ps+Ns)0.97 (0.157)1 (0)0.997 (0.048)
(Pc-Nc)/(Pc+Nc)0.985 (0.109)0.997 (0.048)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)1 (0.333)
(Ps-Ns)/(Ps+Ns)1 (0.333)1 (0.333)1 (0.333)
(Pc-Nc)/(Pc+Nc)1 (0.333)1 (0.333)1 (0.333)

\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) & 1 (0.333) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 1 (0.333) & 1 (0.333) & 1 (0.333) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 1 (0.333) & 1 (0.333) & 1 (0.333) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94398&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]1 (0.333)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]1 (0.333)[/C][C]1 (0.333)[/C][C]1 (0.333)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]1 (0.333)[/C][C]1 (0.333)[/C][C]1 (0.333)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94398&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94398&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)1 (0.333)
(Ps-Ns)/(Ps+Ns)1 (0.333)1 (0.333)1 (0.333)
(Pc-Nc)/(Pc+Nc)1 (0.333)1 (0.333)1 (0.333)


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')