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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 computationWed, 10 Dec 2014 15:43:48 +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/10/t1418227007h5y2vigf8c9uzi9.htm/, Retrieved Sun, 19 May 2024 16:33:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265439, Retrieved Sun, 19 May 2024 16:33:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact71

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] [6fc1b517ba5ef695988bbc0a377c4b82] [Current]
- RMPD          [Notched Boxplots] [BOXV] [2014-12-11 21:32:48] [1651e47f7f65f3a10bbbb444d4b26be7]
-   PD          [Survey Scores] [Q] [2014-12-11 21:43:19] [1651e47f7f65f3a10bbbb444d4b26be7]
-   PD            [Survey Scores] [dssd] [2014-12-11 21:48:43] [1651e47f7f65f3a10bbbb444d4b26be7]
- RMPD            [Notched Boxplots] [F] [2014-12-11 21:55:59] [1651e47f7f65f3a10bbbb444d4b26be7]
Feedback Forum

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
19	7	10
19	15	10
24	21	13
18	13	13
20	8	10
24	16	12
16	13	14
11	8	7
21	10	12
19	16	12
17	14	10
20	18	12
6	4	4
16	12	9
20	20	20
23	22	19
25	15	15
23	20	16
16	16	12
13	9	7
26	21	19
27	16	12
24	11	8
25	23	12
20	16	12
19	16	18
23	17	18
19	17	11
17	24	10
22	20	16
21	19	13
23	20	16
21	17	13
20	18	14
24	17	8
21	18	17
16	16	10
22	21	17
20	19	14
22	19	14
20	15	16
17	14	8
23	22	21
21	22	13
18	17	11
16	14	7
19	19	13
21	16	16
20	15	14
11	7	7
21	24	18
24	23	17
20	20	6
23	20	16
22	19	13
19	16	16
20	20	16
18	18	15
22	19	15
22	18	20
19	18	14
25	17	22
21	8	14
20	20	20
20	20	16
20	20	18
25	16	11
25	21	18
23	21	19
22	21	15
20	19	12
22	21	17
15	19	15
20	19	15
18	11	12
21	19	16
22	20	17
25	22	8
15	18	18
4	11	7
19	21	9
22	23	17
20	20	19
21	15	15
21	18	11
11	14	6
13	11	10
20	14	11
21	14	16
20	18	13
19	16	15
22	19	19
18	18	11
19	20	14
13	13	8
15	18	7
22	20	17
19	16	17
19	12	9
26	24	19
20	18	14
19	20	10
22	19	17
21	19	14
21	20	17
21	20	9
16	17	15
22	19	21
19	22	14
20	21	11
24	15	8
20	19	13
23	22	19
24	22	22
23	20	15
16	21	9
11	16	5
22	23	18
20	20	17
19	21	5
19	21	21
10	14	6
16	18	7
15	20	9
19	21	10
18	19	16
23	22	18
24	23	17
22	18	15
16	20	8
19	18	16
13	18	11
16	18	13
19	14	13
20	20	16
22	21	21
23	19	15
22	22	22
22	21	12
21	17	17
24	22	16
21	15	10
22	20	14
25	25	18
8	15	6
16	19	16
20	23	8
15	17	7
16	18	11
26	24	19
22	23	21
19	15	11
22	24	13
24	25	11
20	10	11
20	20	13
14	27	5
24	26	16
22	18	13
17	24	17
18	21	12
23	19	16
24	22	12
23	19	12
22	23	22
23	20	13
27	21	16
19	21	16
19	21	16
22	20	20
20	13	12
20	18	16
20	18	9
22	24	19
21	22	16
25	23	17
15	16	10
23	19	14
21	20	17
13	11	11
23	20	19
23	19	12
13	20	8
20	18	14
21	18	13
22	18	18
25	22	11
22	18	14
20	21	12
21	20	12
18	14	5
22	22	11
22	22	11
18	20	15
27	24	17
27	26	21
22	25	16
24	21	16
27	24	6
27	26	18
25	21	17
23	20	18
25	22	20
20	21	23
19	18	11
22	20	18
27	21	28
19	25	22
26	24	16
22	27	4
26	23	20
19	18	10
17	21	17
23	26	17
24	18	18
19	18	13
24	28	25

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265439&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265439&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265439&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 time0 seconds
R Server'Sir Maurice George Kendall' @ kendall.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)
15.79131153.50.92202150.86
24.27101992.50.83188290.73
3-0.55331.5450-0.15103114-0.05

\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 & 5.79 & 1311 & 53.5 & 0.92 & 202 & 15 & 0.86 \tabularnewline
2 & 4.27 & 1019 & 92.5 & 0.83 & 188 & 29 & 0.73 \tabularnewline
3 & -0.55 & 331.5 & 450 & -0.15 & 103 & 114 & -0.05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265439&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]5.79[/C][C]1311[/C][C]53.5[/C][C]0.92[/C][C]202[/C][C]15[/C][C]0.86[/C][/ROW]
[ROW][C]2[/C][C]4.27[/C][C]1019[/C][C]92.5[/C][C]0.83[/C][C]188[/C][C]29[/C][C]0.73[/C][/ROW]
[ROW][C]3[/C][C]-0.55[/C][C]331.5[/C][C]450[/C][C]-0.15[/C][C]103[/C][C]114[/C][C]-0.05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265439&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265439&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)
15.79131153.50.92202150.86
24.27101992.50.83188290.73
3-0.55331.5450-0.15103114-0.05






Pearson correlations of survey scores (and p-values)
mean(Ps-Ns)/(Ps+Ns)(Pc-Nc)/(Pc+Nc)
mean1 (0)0.988 (0.099)0.995 (0.063)
(Ps-Ns)/(Ps+Ns)0.988 (0.099)1 (0)0.998 (0.036)
(Pc-Nc)/(Pc+Nc)0.995 (0.063)0.998 (0.036)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 (0.099) & 0.995 (0.063) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.988 (0.099) & 1 (0) & 0.998 (0.036) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.995 (0.063) & 0.998 (0.036) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265439&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 (0.099)[/C][C]0.995 (0.063)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.988 (0.099)[/C][C]1 (0)[/C][C]0.998 (0.036)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.995 (0.063)[/C][C]0.998 (0.036)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265439&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265439&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)0.988 (0.099)0.995 (0.063)
(Ps-Ns)/(Ps+Ns)0.988 (0.099)1 (0)0.998 (0.036)
(Pc-Nc)/(Pc+Nc)0.995 (0.063)0.998 (0.036)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=265439&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=265439&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265439&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')