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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

Wed, 17 Dec 2014 14:32:28 +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/17/t1418826757ct51g9g9mhovdjy.htm/, Retrieved Thu, 16 May 2024 14:41:28 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270336, Retrieved Thu, 16 May 2024 14:41:28 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Survey Scores] [E-Learn 2008 table 1] [2008-09-07 11:33:54] [b98453cac15ba1066b407e146608df68]
F RM D  [Survey Scores] [ATTLES] [2010-04-05 12:47:13] [b98453cac15ba1066b407e146608df68]
F    D    [Survey Scores] [ATTLES Scores] [2010-10-03 16:55:42] [b98453cac15ba1066b407e146608df68]
- RM D        [Survey Scores] [] [2014-12-17 14:32:28] [b2b89044d28819da9d3c2dc0ea48db54] [Current]

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Dataseries X:

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Histogram

Boxplots

1	1	2	2	3	4	3
2	2	2	4	2	2	1
1	1	2	2	3	4	1
1	1	1	2	3	4	1
2	1	1	1	1	4	2
1	1	1	1	1	3	1
4	4	4	4	3	2	4
2	1	1	1	2	4	2
1	1	1	4	1	4	1
1	1	1	1	1	3	1
1	1	1	3	3	3	2
1	1	1	2	2	3	2
1	1	1	1	1	4	2
1	1	1	1	2	1	2
3	4	4	2	4	2	4
0	0	0	0	0	0	0
2	1	2	2	2	3	3
1	1	1	3	1	4	1
1	1	1	1	2	4	1
2	3	3	3	2	3	2
2	3	3	3	2	3	3
2	3	2	2	2	1	1
3	3	3	4	4	2	3
1	1	1	2	2	4	1
2	1	1	2	2	4	1
1	1	2	1	1	4	1
1	1	2	1	2	3	1
3	1	2	3	4	3	4
1	1	2	2	2	3	1
1	1	2	3	4	3	3
1	1	1	3	1	2	2
1	1	2	1	3	3	1
1	1	1	2	2	4	3
2	2	2	2	2	3	1
2	1	1	3	4	4	2
1	1	1	1	2	4	1
1	1	1	2	2	3	2
1	1	2	3	1	3	1
1	1	2	3	2	3	2
2	2	2	3	1	3	3
3	2	2	2	2	3	3
1	2	2	1	2	3	2
1	1	1	2	4	3	1
1	1	1	1	1	4	1
1	1	1	1	2	4	1
3	3	3	2	3	2	3
2	2	2	3	2	3	3
3	1	1	2	1	3	1
4	4	4	4	4	3	4
1	1	2	1	1	4	2
3	1	1	2	2	1	2
2	3	3	2	4	1	3
2	2	3	3	3	2	4
3	2	3	4	4	3	2
3	1	2	3	1	3	3
1	1	1	2	2	4	2
3	2	2	3	4	3	1
1	1	1	1	1	3	3
2	3	4	3	3	2	1
1	1	1	1	2	4	1
1	1	2	1	2	4	1

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message	The field 'Names of X columns' contains a hard return which cannot be interpreted. Please, resubmit your request without hard returns in the 'Names of X columns'.

\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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
R Framework error message & The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270336&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270336&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270336&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	0 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message	The field 'Names of X columns' contains a hard return which cannot be interpreted. Please, resubmit your request without hard returns in the 'Names of X columns'.

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	-1.34	2	84	-0.95	2	49	-0.92
2	-1.49	3	94	-0.94	3	51	-0.89
3	-1.23	4	79	-0.9	4	50	-0.85
4	-0.87	6	59	-0.82	6	39	-0.73
5	-0.8	10	59	-0.71	10	42	-0.62
6	0.03	21	19	0.05	21	13	0.24
7	-1.08	5	71	-0.87	5	43	-0.79

\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 & -1.34 & 2 & 84 & -0.95 & 2 & 49 & -0.92 \tabularnewline
2 & -1.49 & 3 & 94 & -0.94 & 3 & 51 & -0.89 \tabularnewline
3 & -1.23 & 4 & 79 & -0.9 & 4 & 50 & -0.85 \tabularnewline
4 & -0.87 & 6 & 59 & -0.82 & 6 & 39 & -0.73 \tabularnewline
5 & -0.8 & 10 & 59 & -0.71 & 10 & 42 & -0.62 \tabularnewline
6 & 0.03 & 21 & 19 & 0.05 & 21 & 13 & 0.24 \tabularnewline
7 & -1.08 & 5 & 71 & -0.87 & 5 & 43 & -0.79 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270336&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]-1.34[/C][C]2[/C][C]84[/C][C]-0.95[/C][C]2[/C][C]49[/C][C]-0.92[/C][/ROW]
[ROW][C]2[/C][C]-1.49[/C][C]3[/C][C]94[/C][C]-0.94[/C][C]3[/C][C]51[/C][C]-0.89[/C][/ROW]
[ROW][C]3[/C][C]-1.23[/C][C]4[/C][C]79[/C][C]-0.9[/C][C]4[/C][C]50[/C][C]-0.85[/C][/ROW]
[ROW][C]4[/C][C]-0.87[/C][C]6[/C][C]59[/C][C]-0.82[/C][C]6[/C][C]39[/C][C]-0.73[/C][/ROW]
[ROW][C]5[/C][C]-0.8[/C][C]10[/C][C]59[/C][C]-0.71[/C][C]10[/C][C]42[/C][C]-0.62[/C][/ROW]
[ROW][C]6[/C][C]0.03[/C][C]21[/C][C]19[/C][C]0.05[/C][C]21[/C][C]13[/C][C]0.24[/C][/ROW]
[ROW][C]7[/C][C]-1.08[/C][C]5[/C][C]71[/C][C]-0.87[/C][C]5[/C][C]43[/C][C]-0.79[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270336&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270336&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	-1.34	2	84	-0.95	2	49	-0.92
2	-1.49	3	94	-0.94	3	51	-0.89
3	-1.23	4	79	-0.9	4	50	-0.85
4	-0.87	6	59	-0.82	6	39	-0.73
5	-0.8	10	59	-0.71	10	42	-0.62
6	0.03	21	19	0.05	21	13	0.24
7	-1.08	5	71	-0.87	5	43	-0.79

Pearson correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0)	0.953 (0.001)	0.96 (0.001)
(Ps-Ns)/(Ps+Ns)	0.953 (0.001)	1 (0)	0.999 (0)
(Pc-Nc)/(Pc+Nc)	0.96 (0.001)	0.999 (0)	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) & 0.953 (0.001) & 0.96 (0.001) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.953 (0.001) & 1 (0) & 0.999 (0) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.96 (0.001) & 0.999 (0) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270336&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]0.953 (0.001)[/C][C]0.96 (0.001)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.953 (0.001)[/C][C]1 (0)[/C][C]0.999 (0)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.96 (0.001)[/C][C]0.999 (0)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270336&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270336&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)	0.953 (0.001)	0.96 (0.001)
(Ps-Ns)/(Ps+Ns)	0.953 (0.001)	1 (0)	0.999 (0)
(Pc-Nc)/(Pc+Nc)	0.96 (0.001)	0.999 (0)	1 (0)

Kendall tau rank correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0)	0.905 (0.003)	0.905 (0.003)
(Ps-Ns)/(Ps+Ns)	0.905 (0.003)	1 (0)	1 (0)
(Pc-Nc)/(Pc+Nc)	0.905 (0.003)	1 (0)	1 (0)

\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) & 0.905 (0.003) & 0.905 (0.003) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.905 (0.003) & 1 (0) & 1 (0) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.905 (0.003) & 1 (0) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270336&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)[/C][C]0.905 (0.003)[/C][C]0.905 (0.003)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.905 (0.003)[/C][C]1 (0)[/C][C]1 (0)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.905 (0.003)[/C][C]1 (0)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270336&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270336&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)	0.905 (0.003)	0.905 (0.003)
(Ps-Ns)/(Ps+Ns)	0.905 (0.003)	1 (0)	1 (0)
(Pc-Nc)/(Pc+Nc)	0.905 (0.003)	1 (0)	1 (0)

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code