Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_surveyscores.wasp

Title produced by software

Survey Scores

Date of computation

Thu, 11 Dec 2014 11:59:32 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/11/t1418299192kfm9nmhvapsf3v3.htm/, Retrieved Fri, 01 Nov 2024 00:08:29 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265802, Retrieved Fri, 01 Nov 2024 00:08:29 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

137

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]
- RMP   [Survey Scores] [] [2014-10-09 22:08:50] [32b17a345b130fdf5cc88718ed94a974]
-         [Survey Scores] [vraag 1 academic ...] [2014-10-10 10:54:35] [c341f9bcf4df135dba5d5e55978631fd]
-    D      [Survey Scores] [paper kendall tau...] [2014-11-26 14:23:18] [15866c21ed6246d5efde5ff3ba421193]
-    D        [Survey Scores] [cr5] [2014-12-02 11:47:28] [15866c21ed6246d5efde5ff3ba421193]
-    D          [Survey Scores] [cr6] [2014-12-02 11:54:39] [15866c21ed6246d5efde5ff3ba421193]
- R PD              [Survey Scores] [Cronbach2] [2014-12-11 11:59:32] [69667246dd207ce9acb00bd9a43352d5] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

6 5 6 6
4 4 4 4
7 5 7 7
6 6 6 7
7 5 6 5
7 4 6 7
7 6 6 7
5 4 5 6
6 6 6 6
1 6 6 1
7 7 7 7
7 5 6 7
6 4 5 6
6 5 3 5
7 3 5 7
6 5 5 6
6 3 6 6
4 4 4 5
6 4 5 6
6 5 6 6
5 4 4 3
6 2 2 5
7 6 5 6
6 6 6 7
6 6 5 6
5 4 5 5
6 6 6 6
4 2 4 4
6 3 5 6
6 5 5 7
7 1 2 2
7 2 6 7
5 3 5 5
6 4 5 6
6 5 6 6
6 5 6 5
7 7 7 7
6 4 4 6
6 5 5 6
7 4 6 7
4 5 5 5
4 1 2 2
6 5 5 7
6 6 5 6
6 6 4 6
5 5 5 5
6 5 5 7
6 6 6 6
5 2 5 5
5 4 5 5
6 1 4 6
6 4 6 7
5 5 4 5
7 6 5 6
5 2 5 3
6 7 4 5
7 5 6 7
7 6 7 7
7 5 5 6
5 3 4 4
6 5 6 7
7 2 6 7
7 7 6 7
7 7 7 7
6 5 5 7
7 6 6 6
6 5 5 5
6 5 5 6
7 5 6 7
6 6 6 7
4 5 5 5
6 5 6 7
6 4 5 6
5 6 4 3
5 3 4 5
6 4 3 4
7 6 6 7
4 1 1 2
6 5 7 7
7 4 5 6
6 4 4 6
7 5 4 6
5 2 4 6
7 5 5 7
4 5 5 6
4 6 4 5
6 7 6 7
7 2 2 2
5 5 5 5
7 7 6 6
5 4 6 6
6 6 6 6
6 5 6 6
4 5 2 5
7 5 6 6
5 4 4 5
7 4 4 6
6 4 4 3
5 5 4 5
5 6 5 6
7 4 6 6
6 7 7 7
6 5 5 6
7 3 6 6
7 6 5 7
7 6 6 7
6 5 4 7
7 5 6 7
7 4 5 7
1 4 1 2
6 6 6 6
5 2 2 5
5 3 4 5
6 4 4 7
6 3 6 6
6 6 7 6
6 2 5 5
5 5 4 6
7 5 6 7
5 4 6 5
7 6 6 5
6 4 5 7
5 3 5 3
5 5 5 5
5 6 5 5
6 5 5 6
3 2 5 5
6 4 5 6
7 5 6 7
4 4 4 4
7 7 7 7
6 4 6 6
5 5 4 5
6 3 4 4
6 5 6 6
7 7 7 7
5 5 4 5
6 6 6 6
5 3 3 5
5 5 3 6
5 7 3 4
1 4 2 5
6 1 4 5
5 4 2 4
5 5 2 5
7 6 4 6
4 7 5 5
5 4 5 6
6 5 3 5
5 5 4 6
5 5 5 5
6 5 6 6
6 4 6 6
7 3 5 5
6 6 6 6
5 5 5 6
6 5 5 7
6 5 4 7
6 5 4 6
7 5 7 7
4 4 4 4
7 7 7 7
7 5 6 6
7 7 7 7
6 1 2 5
5 2 4 5
7 4 4 7
5 5 3 5
7 6 4 6
6 5 1 6
6 4 6 6
2 5 2 4
5 5 5 5
7 5 5 7
7 3 7 7
6 7 6 6
7 5 5 6
7 5 5 7
6 5 5 6
5 6 6 7
6 5 6 7
6 4 7 7
6 6 7 6
7 6 7 7
6 7 7 7
3 4 4 3
6 4 6 5
6 3 3 5
6 5 6 6
7 6 5 7
5 5 5 5
5 6 5 5
5 6 6 7
6 7 7 7
3 3 3 3
6 6 7 7
7 5 4 6
6 6 5 7
6 6 6 6
5 5 5 5
4 4 7 7
7 5 5 6
5 5 6 6
6 5 5 5
3 3 2 5
7 1 6 7
5 6 6 3
6 2 5 5
6 3 5 5
6 6 7 6
NA NA NA NA
NA NA NA NA
NA NA NA NA
NA NA NA NA
6 6 6 6
NA NA NA NA
NA NA NA NA
NA NA NA NA
NA NA NA NA
NA NA NA NA
NA NA NA NA
NA NA NA NA
NA NA NA NA
NA NA NA NA
NA NA NA NA
NA NA NA NA
NA NA NA NA

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265802&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265802&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265802&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Summary of survey scores (median of Likert score was subtracted)
Question	mean	Sum ofpositives (Ps)	Sum ofnegatives (Ns)	(Ps-Ns)/(Ps+Ns)	Count ofpositives (Pc)	Count ofnegatives (Nc)	(Pc-Nc)/(Pc+Nc)
1	2.77	592	7	0.98	203	4	0.96
2	1.68	381	27	0.87	173	20	0.79
3	2	441	18	0.92	187	15	0.85
4	2.72	581	7	0.98	197	6	0.94

\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 & 2.77 & 592 & 7 & 0.98 & 203 & 4 & 0.96 \tabularnewline
2 & 1.68 & 381 & 27 & 0.87 & 173 & 20 & 0.79 \tabularnewline
3 & 2 & 441 & 18 & 0.92 & 187 & 15 & 0.85 \tabularnewline
4 & 2.72 & 581 & 7 & 0.98 & 197 & 6 & 0.94 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265802&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]2.77[/C][C]592[/C][C]7[/C][C]0.98[/C][C]203[/C][C]4[/C][C]0.96[/C][/ROW]
[ROW][C]2[/C][C]1.68[/C][C]381[/C][C]27[/C][C]0.87[/C][C]173[/C][C]20[/C][C]0.79[/C][/ROW]
[ROW][C]3[/C][C]2[/C][C]441[/C][C]18[/C][C]0.92[/C][C]187[/C][C]15[/C][C]0.85[/C][/ROW]
[ROW][C]4[/C][C]2.72[/C][C]581[/C][C]7[/C][C]0.98[/C][C]197[/C][C]6[/C][C]0.94[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265802&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265802&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)
Question	mean	Sum ofpositives (Ps)	Sum ofnegatives (Ns)	(Ps-Ns)/(Ps+Ns)	Count ofpositives (Pc)	Count ofnegatives (Nc)	(Pc-Nc)/(Pc+Nc)
1	2.77	592	7	0.98	203	4	0.96
2	1.68	381	27	0.87	173	20	0.79
3	2	441	18	0.92	187	15	0.85
4	2.72	581	7	0.98	197	6	0.94

Pearson correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0)	0.988 (0.012)	0.995 (0.005)
(Ps-Ns)/(Ps+Ns)	0.988 (0.012)	1 (0)	0.992 (0.008)
(Pc-Nc)/(Pc+Nc)	0.995 (0.005)	0.992 (0.008)	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) & 0.988 (0.012) & 0.995 (0.005) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.988 (0.012) & 1 (0) & 0.992 (0.008) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.995 (0.005) & 0.992 (0.008) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265802&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]0.988 (0.012)[/C][C]0.995 (0.005)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.988 (0.012)[/C][C]1 (0)[/C][C]0.992 (0.008)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.995 (0.005)[/C][C]0.992 (0.008)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265802&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265802&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)
mean	1 (0)	0.988 (0.012)	0.995 (0.005)
(Ps-Ns)/(Ps+Ns)	0.988 (0.012)	1 (0)	0.992 (0.008)
(Pc-Nc)/(Pc+Nc)	0.995 (0.005)	0.992 (0.008)	1 (0)

Kendall tau rank correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0.083)	0.913 (0.071)	1 (0.083)
(Ps-Ns)/(Ps+Ns)	0.913 (0.071)	1 (0.056)	0.913 (0.071)
(Pc-Nc)/(Pc+Nc)	1 (0.083)	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) & 0.913 (0.071) & 1 (0.083) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.913 (0.071) & 1 (0.056) & 0.913 (0.071) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 1 (0.083) & 0.913 (0.071) & 1 (0.083) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265802&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]0.913 (0.071)[/C][C]1 (0.083)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.913 (0.071)[/C][C]1 (0.056)[/C][C]0.913 (0.071)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]1 (0.083)[/C][C]0.913 (0.071)[/C][C]1 (0.083)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265802&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265802&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)
mean	1 (0.083)	0.913 (0.071)	1 (0.083)
(Ps-Ns)/(Ps+Ns)	0.913 (0.071)	1 (0.056)	0.913 (0.071)
(Pc-Nc)/(Pc+Nc)	1 (0.083)	0.913 (0.071)	1 (0.083)

Parameters (Session):

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code