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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

Thu, 04 Dec 2014 22:27:09 +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/04/t1417732080bsb5cnt9fn4olke.htm/, Retrieved Thu, 16 May 2024 06:19:30 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=263440, Retrieved Thu, 16 May 2024 06:19:30 +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] [Intrinsic Motivat...] [2010-10-12 11:18:40] [b98453cac15ba1066b407e146608df68]
- RMP   [Survey Scores] [] [2014-10-09 22:08:50] [32b17a345b130fdf5cc88718ed94a974]
-   PD      [Survey Scores] [] [2014-12-04 22:27:09] [6993448de96b8662e47595bfdf466bf3] [Current]

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Dataseries X:

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Histogram

Boxplots

2	4	2	1	1	1
3	3	4	2	4	2
2	4	4	2	4	2
4	4	4	4	2	2
2	1	5	2	3	3
2	2	3	3	3	3
2	4	2	2	4	3
4	4	4	3	4	3
2	2	3	3	3	3
3	3	4	3	4	2
2	4	4	3	5	3
1	2	2	2	2	2
2	4	4	2	2	2
2	2	2	2	2	2
2	4	4	4	3	2
4	2	4	0	4	2
3	4	4	3	2	3
1	4	4	2	2	2
1	2	3	3	3	4
4	4	4	2	3	3
4	4	3	4	3	1
2	4	5	2	2	1
3	3	4	2	4	2
5	5	2	4	5	3
4	4	4	3	3	3
4	4	5	4	3	3
2	4	4	2	2	2
2	4	4	2	4	2
1	3	3	2	2	1
1	1	2	1	2	1
2	4	4	2	2	2
4	2	1	3	1	1
2	4	3	2	3	2
4	3	2	3	2	2
4	4	4	2	2	2
2	4	4	4	2	2
2	4	2	4	2	3
4	2	3	3	2	3
3	4	4	2	4	3
2	4	2	4	2	3
1	2	2	1	2	2
2	2	4	2	4	4
4	2	1	2	2	3
1	2	2	1	1	2
4	4	3	3	4	2
4	4	2	2	2	2
2	3	4	2	2	2
2	2	3	2	4	2
5	5	4	5	2	5
5	4	4	4	4	3
4	3	2	4	2	3
2	3	3	4	4	2
1	3	3	1	2	1
2	3	4	2	2	2
4	2	3	1	1	3
3	3	5	4	2	4
1	4	4	4	2	4
1	3	4	1	4	2
2	3	2	2	2	2
3	4	2	4	3	2
2	4	2	2	2	2
4	4	4	3	3	2
5	4	4	4	3	5
2	2	2	2	3	2
4	3	3	3	3	2
1	4	2	1	2	2
3	2	4	2	4	2
4	4	4	3	4	2
1	1	3	4	1	1
1	1	2	1	1	1
4	4	4	2	4	2
2	3	4	2	4	2
2	3	2	2	2	2
4	4	2	3	4	4
4	4	4	1	3	2
2	2	3	3	4	1
3	4	4	2	3	1
3	3	3	3	3	2
3	1	4	1	3	2
2	3	4	1	3	1
5	1	1	1	2	1
3	3	3	2	3	2
1	2	2	1	2	3
2	2	2	3	2	2
2	1	2	3	3	2
4	4	3	3	3	3
2	2	3	2	2	2
1	2	2	2	2	2
5	2	4	2	2	2
3	2	2	2	3	2
4	3	3	3	4	2
2	3	3	2	2	2
4	4	4	4	4	4
2	3	3	2	3	2
2	2	2	1	2	2
3	3	2	2	2	3
2	2	3	2	2	2
2	4	4	2	4	3
2	2	4	2	2	2
4	4	5	4	2	3
4	4	4	2	2	4
2	3	2	4	2	4
2	3	4	2	2	2
4	5	4	4	4	4
3	2	2	1	4	1
4	2	3	4	2	1
3	3	3	3	3	1
4	4	2	2	3	3
2	2	2	2	3	2
3	4	2	3	3	3
4	3	4	4	1	2

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	'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263440&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 Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263440&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263440&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	'Sir Maurice George Kendall' @ kendall.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	-0.26	43	72	-0.25	37	57	-0.21
2	0.07	51	43	0.09	48	36	0.14
3	0.14	55	39	0.17	50	36	0.16
4	-0.52	24	82	-0.55	23	64	-0.47
5	-0.28	30	61	-0.34	28	54	-0.32
6	-0.69	13	90	-0.75	11	74	-0.74

\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 & -0.26 & 43 & 72 & -0.25 & 37 & 57 & -0.21 \tabularnewline
2 & 0.07 & 51 & 43 & 0.09 & 48 & 36 & 0.14 \tabularnewline
3 & 0.14 & 55 & 39 & 0.17 & 50 & 36 & 0.16 \tabularnewline
4 & -0.52 & 24 & 82 & -0.55 & 23 & 64 & -0.47 \tabularnewline
5 & -0.28 & 30 & 61 & -0.34 & 28 & 54 & -0.32 \tabularnewline
6 & -0.69 & 13 & 90 & -0.75 & 11 & 74 & -0.74 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263440&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]-0.26[/C][C]43[/C][C]72[/C][C]-0.25[/C][C]37[/C][C]57[/C][C]-0.21[/C][/ROW]
[ROW][C]2[/C][C]0.07[/C][C]51[/C][C]43[/C][C]0.09[/C][C]48[/C][C]36[/C][C]0.14[/C][/ROW]
[ROW][C]3[/C][C]0.14[/C][C]55[/C][C]39[/C][C]0.17[/C][C]50[/C][C]36[/C][C]0.16[/C][/ROW]
[ROW][C]4[/C][C]-0.52[/C][C]24[/C][C]82[/C][C]-0.55[/C][C]23[/C][C]64[/C][C]-0.47[/C][/ROW]
[ROW][C]5[/C][C]-0.28[/C][C]30[/C][C]61[/C][C]-0.34[/C][C]28[/C][C]54[/C][C]-0.32[/C][/ROW]
[ROW][C]6[/C][C]-0.69[/C][C]13[/C][C]90[/C][C]-0.75[/C][C]11[/C][C]74[/C][C]-0.74[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263440&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263440&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	-0.26	43	72	-0.25	37	57	-0.21
2	0.07	51	43	0.09	48	36	0.14
3	0.14	55	39	0.17	50	36	0.16
4	-0.52	24	82	-0.55	23	64	-0.47
5	-0.28	30	61	-0.34	28	54	-0.32
6	-0.69	13	90	-0.75	11	74	-0.74

Pearson correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0)	0.998 (0)	0.992 (0)
(Ps-Ns)/(Ps+Ns)	0.998 (0)	1 (0)	0.996 (0)
(Pc-Nc)/(Pc+Nc)	0.992 (0)	0.996 (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) & 0.998 (0) & 0.992 (0) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.998 (0) & 1 (0) & 0.996 (0) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.992 (0) & 0.996 (0) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263440&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)[/C][C]0.992 (0)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.998 (0)[/C][C]1 (0)[/C][C]0.996 (0)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.992 (0)[/C][C]0.996 (0)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263440&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263440&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)	0.998 (0)	0.992 (0)
(Ps-Ns)/(Ps+Ns)	0.998 (0)	1 (0)	0.996 (0)
(Pc-Nc)/(Pc+Nc)	0.992 (0)	0.996 (0)	1 (0)

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

\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 (0.003) & 1 (0.003) & 1 (0.003) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 1 (0.003) & 1 (0.003) & 1 (0.003) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 1 (0.003) & 1 (0.003) & 1 (0.003) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263440&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 (0.003)[/C][C]1 (0.003)[/C][C]1 (0.003)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]1 (0.003)[/C][C]1 (0.003)[/C][C]1 (0.003)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]1 (0.003)[/C][C]1 (0.003)[/C][C]1 (0.003)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263440&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263440&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 (0.003)	1 (0.003)	1 (0.003)
(Ps-Ns)/(Ps+Ns)	1 (0.003)	1 (0.003)	1 (0.003)
(Pc-Nc)/(Pc+Nc)	1 (0.003)	1 (0.003)	1 (0.003)

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