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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 computationThu, 11 Dec 2014 21:48:43 +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/2014/Dec/11/t1418334536bk844awx5u0sdmd.htm/, Retrieved Thu, 16 May 2024 09:18:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=266369, Retrieved Thu, 16 May 2024 09:18:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact68

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]
- RMP   [Survey Scores] [] [2014-10-09 22:08:50] [32b17a345b130fdf5cc88718ed94a974]
- R PD    [Survey Scores] [extrest vrouwen] [2014-12-10 15:35:44] [1651e47f7f65f3a10bbbb444d4b26be7]
- R PD      [Survey Scores] [Extren vrouw] [2014-12-10 15:43:48] [1651e47f7f65f3a10bbbb444d4b26be7]
-   PD        [Survey Scores] [Q] [2014-12-11 21:43:19] [1651e47f7f65f3a10bbbb444d4b26be7]
-   PD            [Survey Scores] [dssd] [2014-12-11 21:48:43] [6fc1b517ba5ef695988bbc0a377c4b82] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
19	18	20
24	24	19
15	16	12
17	19	16
19	15	9
28	28	28
26	21	20
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16	19	17
15	16	12
22	18	16
26	24	15
26	20	17
21	19	17
22	23	18
20	18	15
21	16	20
22	21	21
18	27	6
20	19	19
24	7	12
17	20	14
20	20	13
20	19	17
22	20	19
15	14	10
20	17	11
22	17	11
17	8	10
14	9	7
17	20	12
23	20	18
16	22	9
18	22	16
20	16	14
18	14	11
23	24	20
24	21	17
23	20	14
20	18	16
19	19	10
22	24	15
17	16	10
20	14	10
21	21	16
21	15	10
23	21	22
15	17	13
22	19	18
17	13	8
19	18	16
21	17	21
21	20	17
24	18	18
19	18	15
14	12	8
25	22	22
17	18	13
20	20	18
22	20	15
15	16	11
23	22	19
20	19	19
16	6	4
25	19	17
18	24	10
23	18	20
20	17	15
6	6	4
15	22	9
18	20	18
22	16	17
21	17	12
20	23	17
25	22	20
16	20	16
20	20	15
14	13	10
22	16	16
26	25	21
20	16	15
17	15	16
22	19	9
20	24	19
17	9	7
22	22	23
17	15	14
22	22	10
25	24	12
11	12	10
19	21	7
24	25	20
17	26	9
26	28	19
21	16	14
21	21	14
19	22	15
24	20	22
28	19	19
27	24	22
23	18	17
22	22	17
15	18	17
20	23	11
28	28	24
19	21	16
22	21	13
21	20	15
20	18	15
19	17	11
17	17	13
21	23	7
12	14	9
20	21	12
18	14	14
21	24	22
24	16	19
17	17	16
8	17	22
22	21	20
17	19	15
25	19	11
18	11	9
23	15	18
21	18	11
21	19	14
24	23	10
17	16	16
15	11	11
22	21	16
19	14	13
19	20	14
19	19	10
22	21	19
23	22	17
25	23	19
20	18	12
23	23	8
21	20	17
23	23	17
11	13	7
21	21	23
21	19	17
22	19	13
21	18	8
22	19	16
18	10	13
24	24	15
20	21	15
18	18	14
14	16	11
17	20	19
18	12	12
19	15	18
15	14	15
24	18	20
19	19	12
23	24	19
23	21	18
17	22	8
22	20	18
16	16	13
21	19	18
19	19	13
13	7	10
17	17	12
18	23	10
20	23	13
18	18	8
15	18	9
17	15	12
21	14	11
23	17	10
18	20	16
20	21	14
22	18	19
20	18	16
24	21	21
23	16	16
22	17	12
21	12	9
23	25	15
20	12	11
23	22	20
24	24	19
17	18	17
19	15	18
25	25	19
18	17	11
15	17	8
27	24	19
26	27	24
14	19	8
19	22	10
25	24	20
20	23	17
17	16	12
13	16	10
20	16	15
20	15	16
18	17	16
22	25	18
21	14	16
18	20	20
19	19	16
23	18	11
26	22	24
19	18	13
26	22	17
23	18	9
23	19	10
23	21	15
20	20	12
16	17	12
26	22	22
24	24	23
20	19	19
12	20	7
21	16	9
26	22	19
17	19	8
18	13	10
28	22	18
24	20	19
24	21	12
12	15	12
13	15	10
16	23	12
23	21	15
18	16	13
18	18	14
21	18	18
7	10	4
21	20	10
17	13	7
22	25	20
15	18	10
10	19	11
25	17	16
23	22	19
23	19	16
23	21	15
23	21	14
15	15	11
23	22	11
23	21	19
23	20	15
17	18	12
19	19	24
23	21	16
22	19	9
14	16	16
19	17	8
21	26	11
23	20	13
16	13	14
19	21	14
26	23	17
22	20	20
24	23	11
24	24	19
11	8	6
21	19	16
21	18	14
22	21	16
19	16	11
18	17	14
27	27	22
14	12	7
15	17	17
20	17	16
26	24	22
20	18	13
19	18	14
20	19	15
18	19	15
20	24	15
26	22	19
20	20	18
21	22	10

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266369&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266369&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266369&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 time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






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)
15.571618.5530.94261200.86
24.361327100.50.86248330.77
30.12527494.50.031501310.07

\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 & 5.57 & 1618.5 & 53 & 0.94 & 261 & 20 & 0.86 \tabularnewline
2 & 4.36 & 1327 & 100.5 & 0.86 & 248 & 33 & 0.77 \tabularnewline
3 & 0.12 & 527 & 494.5 & 0.03 & 150 & 131 & 0.07 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266369&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]5.57[/C][C]1618.5[/C][C]53[/C][C]0.94[/C][C]261[/C][C]20[/C][C]0.86[/C][/ROW]
[ROW][C]2[/C][C]4.36[/C][C]1327[/C][C]100.5[/C][C]0.86[/C][C]248[/C][C]33[/C][C]0.77[/C][/ROW]
[ROW][C]3[/C][C]0.12[/C][C]527[/C][C]494.5[/C][C]0.03[/C][C]150[/C][C]131[/C][C]0.07[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266369&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266369&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)
15.571618.5530.94261200.86
24.361327100.50.86248330.77
30.12527494.50.031501310.07






Pearson correlations of survey scores (and p-values)
mean(Ps-Ns)/(Ps+Ns)(Pc-Nc)/(Pc+Nc)
mean1 (0)0.991 (0.085)0.994 (0.069)
(Ps-Ns)/(Ps+Ns)0.991 (0.085)1 (0)1 (0.016)
(Pc-Nc)/(Pc+Nc)0.994 (0.069)1 (0.016)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) & 0.991 (0.085) & 0.994 (0.069) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.991 (0.085) & 1 (0) & 1 (0.016) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.994 (0.069) & 1 (0.016) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266369&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]0.991 (0.085)[/C][C]0.994 (0.069)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.991 (0.085)[/C][C]1 (0)[/C][C]1 (0.016)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.994 (0.069)[/C][C]1 (0.016)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266369&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266369&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)0.991 (0.085)0.994 (0.069)
(Ps-Ns)/(Ps+Ns)0.991 (0.085)1 (0)1 (0.016)
(Pc-Nc)/(Pc+Nc)0.994 (0.069)1 (0.016)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=266369&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=266369&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266369&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 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 ;
Parameters (R input):
par1 = 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 ;
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')