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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

Sat, 06 Dec 2014 16:50:39 +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/06/t1417884646k23lxtyptdwnoo0.htm/, Retrieved Thu, 16 May 2024 23:52:11 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=263656, Retrieved Thu, 16 May 2024 23:52:11 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

107

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]
- R PD  [Survey Scores] [] [2011-10-18 12:18:26] [b98453cac15ba1066b407e146608df68]
- RM      [Survey Scores] [] [2014-10-16 13:19:13] [4c4ebb0b36a379d1d949ba77427e658a]
-   PD        [Survey Scores] [] [2014-12-06 16:50:39] [d9810f96fa2f1581f787e7f797109997] [Current]

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Dataseries X:

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Histogram

Boxplots

2 4 1 1 2 1 1 1 1 2 1
3 3 4 2 4 2 1 2 4 4 2
2 4 4 3 4 2 2 3 4 4 2
4 4 4 2 4 4 4 5 2 3 2
2 1 2 2 5 2 2 4 3 4 3
2 2 2 2 3 3 3 3 3 3 3
2 4 4 4 2 2 2 2 4 2 3
4 4 4 3 4 3 2 4 4 4 3
2 2 2 2 3 3 1 2 3 2 3
3 3 2 2 4 3 2 2 4 4 2
2 4 1 2 4 3 1 4 5 5 3
1 2 1 1 2 2 2 2 2 2 2
2 4 2 2 4 2 2 2 2 3 2
2 2 1 2 2 2 2 2 2 3 2
2 4 4 3 4 4 2 4 3 2 2
4 2 1 2 4 0 3 2 4 4 2
1 4 2 4 4 2 2 3 2 2 2
1 2 3 2 3 3 2 3 3 3 4
4 4 3 3 3 4 2 2 3 4 1
2 4 2 1 5 2 2 4 2 3 1
3 3 2 2 4 2 2 2 4 4 2
5 5 3 3 2 4 4 4 5 3 3
4 4 4 3 4 3 3 2 3 3 3
2 4 2 2 4 2 2 2 4 4 2
1 3 2 2 3 2 2 3 2 2 1
1 1 1 1 2 1 1 1 2 2 1
2 4 2 2 4 2 3 2 2 3 2
4 2 4 1 1 3 3 1 1 1 1
2 4 2 2 3 2 2 2 3 2 2
4 3 1 2 2 3 3 2 2 2 2
4 4 4 2 4 2 2 2 2 2 2
2 4 2 2 4 4 2 2 2 4 2
2 4 1 2 2 4 4 2 2 2 3
3 4 2 2 4 2 3 4 4 3 3
2 4 3 4 2 4 4 4 2 3 3
1 2 1 1 2 1 1 2 2 1 2
2 2 2 2 4 2 2 2 4 4 4
4 2 3 4 1 2 3 2 2 3 3
1 2 1 2 2 1 1 1 1 1 2
4 4 2 3 2 2 2 2 2 3 2
2 3 2 2 4 2 2 2 2 2 2
5 5 5 5 4 5 5 5 2 2 5
1 3 1 1 3 1 1 2 2 2 1
4 2 2 2 3 1 1 1 1 2 3
3 3 4 4 5 4 4 4 2 4 4
1 3 1 2 4 1 2 5 4 4 2
2 4 2 4 2 2 2 2 2 2 2
4 4 3 2 4 3 1 3 3 5 2
5 4 3 3 4 4 3 4 3 4 5
2 2 1 1 2 2 2 2 3 2 2
4 3 2 3 3 3 2 4 3 3 2
3 2 2 3 4 2 2 3 4 4 2
4 4 4 3 4 3 3 5 4 3 2
1 1 2 2 3 4 2 2 1 2 1
4 4 4 3 4 2 2 4 4 2 2
2 3 2 3 4 2 2 1 4 2 2
4 4 3 2 2 3 4 4 4 4 4
4 4 1 1 4 1 2 4 3 4 2
2 2 2 2 3 3 2 2 4 3 1
3 4 4 2 4 2 2 4 3 4 1
3 1 2 2 4 1 1 2 3 2 2
5 1 1 1 1 1 1 1 2 2 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	'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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263656&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263656&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263656&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	'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	-0.29	25	43	-0.26	21	33	-0.22
2	0.13	33	25	0.14	31	20	0.22
3	-0.65	15	55	-0.57	14	40	-0.48
4	-0.71	8	52	-0.73	7	42	-0.71
5	0.24	36	21	0.26	33	18	0.29
6	-0.6	12	49	-0.61	11	37	-0.54
7	-0.79	8	57	-0.75	7	45	-0.73
8	-0.32	23	43	-0.3	19	36	-0.31
9	-0.19	21	33	-0.22	19	28	-0.19
10	-0.11	22	29	-0.14	20	26	-0.13
11	-0.74	8	54	-0.74	6	43	-0.76

\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 & -0.29 & 25 & 43 & -0.26 & 21 & 33 & -0.22 \tabularnewline
2 & 0.13 & 33 & 25 & 0.14 & 31 & 20 & 0.22 \tabularnewline
3 & -0.65 & 15 & 55 & -0.57 & 14 & 40 & -0.48 \tabularnewline
4 & -0.71 & 8 & 52 & -0.73 & 7 & 42 & -0.71 \tabularnewline
5 & 0.24 & 36 & 21 & 0.26 & 33 & 18 & 0.29 \tabularnewline
6 & -0.6 & 12 & 49 & -0.61 & 11 & 37 & -0.54 \tabularnewline
7 & -0.79 & 8 & 57 & -0.75 & 7 & 45 & -0.73 \tabularnewline
8 & -0.32 & 23 & 43 & -0.3 & 19 & 36 & -0.31 \tabularnewline
9 & -0.19 & 21 & 33 & -0.22 & 19 & 28 & -0.19 \tabularnewline
10 & -0.11 & 22 & 29 & -0.14 & 20 & 26 & -0.13 \tabularnewline
11 & -0.74 & 8 & 54 & -0.74 & 6 & 43 & -0.76 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263656&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]-0.29[/C][C]25[/C][C]43[/C][C]-0.26[/C][C]21[/C][C]33[/C][C]-0.22[/C][/ROW]
[ROW][C]2[/C][C]0.13[/C][C]33[/C][C]25[/C][C]0.14[/C][C]31[/C][C]20[/C][C]0.22[/C][/ROW]
[ROW][C]3[/C][C]-0.65[/C][C]15[/C][C]55[/C][C]-0.57[/C][C]14[/C][C]40[/C][C]-0.48[/C][/ROW]
[ROW][C]4[/C][C]-0.71[/C][C]8[/C][C]52[/C][C]-0.73[/C][C]7[/C][C]42[/C][C]-0.71[/C][/ROW]
[ROW][C]5[/C][C]0.24[/C][C]36[/C][C]21[/C][C]0.26[/C][C]33[/C][C]18[/C][C]0.29[/C][/ROW]
[ROW][C]6[/C][C]-0.6[/C][C]12[/C][C]49[/C][C]-0.61[/C][C]11[/C][C]37[/C][C]-0.54[/C][/ROW]
[ROW][C]7[/C][C]-0.79[/C][C]8[/C][C]57[/C][C]-0.75[/C][C]7[/C][C]45[/C][C]-0.73[/C][/ROW]
[ROW][C]8[/C][C]-0.32[/C][C]23[/C][C]43[/C][C]-0.3[/C][C]19[/C][C]36[/C][C]-0.31[/C][/ROW]
[ROW][C]9[/C][C]-0.19[/C][C]21[/C][C]33[/C][C]-0.22[/C][C]19[/C][C]28[/C][C]-0.19[/C][/ROW]
[ROW][C]10[/C][C]-0.11[/C][C]22[/C][C]29[/C][C]-0.14[/C][C]20[/C][C]26[/C][C]-0.13[/C][/ROW]
[ROW][C]11[/C][C]-0.74[/C][C]8[/C][C]54[/C][C]-0.74[/C][C]6[/C][C]43[/C][C]-0.76[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263656&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263656&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	-0.29	25	43	-0.26	21	33	-0.22
2	0.13	33	25	0.14	31	20	0.22
3	-0.65	15	55	-0.57	14	40	-0.48
4	-0.71	8	52	-0.73	7	42	-0.71
5	0.24	36	21	0.26	33	18	0.29
6	-0.6	12	49	-0.61	11	37	-0.54
7	-0.79	8	57	-0.75	7	45	-0.73
8	-0.32	23	43	-0.3	19	36	-0.31
9	-0.19	21	33	-0.22	19	28	-0.19
10	-0.11	22	29	-0.14	20	26	-0.13
11	-0.74	8	54	-0.74	6	43	-0.76

Pearson correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0)	0.996 (0)	0.988 (0)
(Ps-Ns)/(Ps+Ns)	0.996 (0)	1 (0)	0.995 (0)
(Pc-Nc)/(Pc+Nc)	0.988 (0)	0.995 (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) & 0.996 (0) & 0.988 (0) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.996 (0) & 1 (0) & 0.995 (0) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.988 (0) & 0.995 (0) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263656&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]0.996 (0)[/C][C]0.988 (0)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.996 (0)[/C][C]1 (0)[/C][C]0.995 (0)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.988 (0)[/C][C]0.995 (0)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263656&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263656&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)	0.996 (0)	0.988 (0)
(Ps-Ns)/(Ps+Ns)	0.996 (0)	1 (0)	0.995 (0)
(Pc-Nc)/(Pc+Nc)	0.988 (0)	0.995 (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)	0.964 (0)	0.927 (0)
(Ps-Ns)/(Ps+Ns)	0.964 (0)	1 (0)	0.964 (0)
(Pc-Nc)/(Pc+Nc)	0.927 (0)	0.964 (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) & 0.964 (0) & 0.927 (0) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.964 (0) & 1 (0) & 0.964 (0) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.927 (0) & 0.964 (0) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263656&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]0.964 (0)[/C][C]0.927 (0)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.964 (0)[/C][C]1 (0)[/C][C]0.964 (0)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.927 (0)[/C][C]0.964 (0)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263656&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263656&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)	0.964 (0)	0.927 (0)
(Ps-Ns)/(Ps+Ns)	0.964 (0)	1 (0)	0.964 (0)
(Pc-Nc)/(Pc+Nc)	0.927 (0)	0.964 (0)	1 (0)

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