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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_cronbach.wasp
Title produced by softwareCronbach Alpha
Date of computationThu, 18 Dec 2014 14:41:32 +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/18/t1418913700f4bwypwd291maxt.htm/, Retrieved Fri, 17 May 2024 14:10:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=271011, Retrieved Fri, 17 May 2024 14:10:30 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact86
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Cronbach Alpha] [I2: Intrinsic mot...] [2014-12-18 14:41:32] [f02c6c9412fee5ce04bac553459224aa] [Current]
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Dataseries X:
3 4 5 4
4 6 3 3
7 7 6 5
3 2 3 4
5 5 5 5
4 6 5 4
5 5 6 6
1 4 2 5
4 3 5 5
4 5 4 5
6 7 6 5
3 6 6 3
4 5 4 5
6 5 6 6
4 6 6 5
5 6 5 5
7 7 7 7
4 5 4 4
4 5 6 6
4 5 4 5
4 5 5 3
4 5 5 4
5 4 2 3
5 5 5 5
2 3 5 4
4 6 2 5
6 6 5 4
6 6 6 5
6 6 6 6
4 6 6 5
3 4 4 3
6 6 6 6
3 3 5 5
6 6 4 5
1 4 2 1
5 3 5 4
4 4 5 4
4 2 5 5
5 5 6 6
5 6 5 5
5 5 4 6
2 1 1 4
2 4 2 3
2 3 4 6
3 4 3 3
3 5 5 5
5 5 5 4
5 7 5 5
3 2 3 3
3 3 4 4
5 6 5 5
5 5 6 5
4 4 5 5
5 5 5 6
5 6 6 6
5 5 5 5
3 6 6 6
2 6 5 5
4 6 5 4
5 6 3 4
3 6 6 3
6 6 3 4
3 5 5 5
2 3 5 1
6 4 4 6
4 5 5 6
3 6 7 5
2 4 2 4
3 5 3 4
3 4 6 5
4 3 3 4
4 5 4 5
2 5 4 5
6 5 5 3
2 3 1 1
6 1 7 7
6 6 6 6
5 5 6 5
5 5 5 5
3 7 5 7
4 5 4 4
4 5 6 4
5 5 5 5
5 5 5 5
3 5 4 4
4 5 4 4
2 2 1 1
3 5 7 7
5 5 5 5
5 4 4 4
6 6 4 4
5 6 5 7
5 4 4 5
5 3 2 3
6 6 5 5
5 5 5 5
5 5 5 5
2 4 3 4
4 7 4 1
4 5 3 4
2 4 5 4
5 5 4 5
6 5 4 4
6 6 6 6
2 2 2 3
5 6 5 6
3 4 4 4
4 6 6 6
5 5 6 6
6 6 5 7
2 6 7 6
6 6 6 7
7 7 6 6
5 6 5 3
5 5 6 5
3 4 3 4
7 7 7 7
4 4 4 4
5 5 6 5
5 5 3 3
4 3 4 5
6 7 6 6
4 6 5 6
6 5 6 5
3 3 1 2
7 7 3 7
4 6 6 6
2 2 5 1
5 6 6 5
5 5 6 5
5 5 5 5
3 4 5 5
1 2 2 2
4 4 2 4
5 6 6 6
3 5 6 4
4 5 6 2
5 4 6 5
3 5 6 5
5 3 5 6
6 6 6 5
4 4 6 6
4 5 5 5
3 4 5 4
4 2 3 2
6 5 5 5
5 5 4 6
4 5 5 6
4 4 5 6
5 5 4 5
4 5 6 5
5 6 6 5
4 6 4 5
6 6 6 5
4 3 3 6
3 5 5 5
5 6 6 6
5 5 5 5
6 7 5 5
2 7 2 2
7 7 7 5
5 5 6 3
4 3 3 3
2 3 2 3
5 6 4 6
7 6 6 5
6 5 4 6
6 6 6 5
4 5 4 3
6 7 7 6
3 5 4 4
5 5 5 5
4 5 6 4
5 4 5 4
5 5 5 5
6 6 6 6
2 5 5 6
3 5 3 4
5 4 5 4
4 4 5 5
5 3 6 4
6 5 1 7
5 5 5 5
4 2 3 2
4 3 4 5
2 6 1 6
5 5 6 5
4 5 5 5
5 5 5 4
4 4 5 4
6 6 7 6
4 5 4 1
5 4 5 5
3 5 7 5
4 6 5 5
5 4 5 4
5 3 5 5
5 5 5 4
6 6 4 6
5 5 7 7
5 4 4 5
4 6 7 5
3 4 6 5
6 4 5 6
6 5 5 5
2 6 6 6
5 5 5 5
6 6 6 6
4 5 5 5
5 4 3 4
5 5 6 5
4 5 6 7
5 5 5 4
6 6 5 6
5 6 5 6
5 4 3 3
6 6 5 4
5 3 3 5
4 5 4 5
5 5 5 5
7 6 6 6
4 2 7 5
3 2 3 3
4 5 5 3
5 5 6 6
5 5 3 7
6 4 5 6
5 5 6 6
5 6 5 4
5 5 6 5
4 4 4 3
7 7 7 7
5 5 5 5
6 4 5 4
4 6 5 6
4 5 6 5
4 3 3 3
5 4 5 5
4 5 6 6
4 6 5 6
5 6 6 7
5 6 6 6
4 5 6 5
5 5 7 7
3 4 6 5
4 5 4 4
4 6 5 6
7 6 7 7
3 3 3 3
5 6 6 7
4 4 5 5
4 4 4 6
5 7 6 6
4 5 5 4
4 5 3 3
5 6 5 6
4 4 5 4
5 5 5 5
4 5 5 5
5 5 4 5
6 5 7 6
1 4 1 1
5 5 4 3
5 6 6 6
5 7 6 5
5 5 5 6
5 4 3 6
1 1 1 1
7 7 7 6
3 4 6 5
2 3 5 5
2 2 5 5
3 3 4 4
4 4 3 6
4 5 5 6
4 5 4 3
5 4 4 3
1 1 4 5
4 5 6 6
2 4 1 3
5 4 4 5
4 5 4 5
5 5 6 5
2 5 4 5
2 2 5 6
1 5 6 5
3 3 5 4
5 2 3 2
5 5 5 5
6 4 5 5
3 4 6 5
7 2 6 6
5 6 6 5
5 5 5 6
5 7 7 6
2 3 5 2
6 4 7 5
7 6 5 6
6 5 3 3
5 6 5 4
5 5 5 4
7 6 6 6
6 7 7 7
5 3 5 4
4 5 5 3
5 6 6 7
4 4 4 6
7 7 7 6
6 6 6 5
6 5 6 4
7 6 6 6
4 4 6 4
6 6 5 5
5 6 7 6
4 6 6 7
5 7 6 6
4 4 4 4
4 6 3 3
4 4 5 5
5 4 4 4
5 6 6 4
4 4 4 3
5 6 4 4
5 5 4 4
4 2 4 4
5 4 5 6
5 5 5 4
6 6 5 5
6 5 5 6
5 5 5 5
5 5 6 6
5 4 5 7
5 5 4 5
6 6 6 6
3 5 5 4
7 5 4 6
7 6 6 5
4 5 7 4
4 4 6 6
5 6 4 4
2 4 3 4
6 5 5 6
5 5 5 5
5 5 5 6
4 5 6 6
4 4 4 3
5 5 5 5
6 6 5 6
5 4 5 4
5 6 6 6
5 3 4 6
1 1 4 4
4 5 4 4
1 3 5 4
5 5 5 5
5 4 4 5
4 5 6 4
6 6 4 5
5 5 5 4
5 6 5 6
5 5 5 6
5 5 5 5
6 6 7 4
5 4 5 4
3 5 3 4
5 6 4 4
4 3 5 4
3 5 4 5
7 7 7 5
6 6 6 5
2 2 2 2
5 5 5 4
6 5 5 4
5 6 5 5
3 4 5 4
5 3 3 6
3 7 3 4
5 4 4 5
5 4 5 5
4 5 5 5
4 7 7 6




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271011&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271011&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271011&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.wessa.net







Cronbach Alpha and Related Statistics
ItemsCronbach AlphaStd. AlphaG6(smc)Average R
All itmes0.7660.76620.71660.4504
AMS6 excluded0.71420.71390.62950.454
AMS13 excluded0.71670.71780.6330.4588
AMS20 excluded0.70280.70250.6140.4405
AMS27 excluded0.70850.7090.62060.4482

\begin{tabular}{lllllllll}
\hline
Cronbach Alpha and Related Statistics \tabularnewline
Items & Cronbach Alpha & Std. Alpha & G6(smc) & Average R \tabularnewline
All itmes & 0.766 & 0.7662 & 0.7166 & 0.4504 \tabularnewline
AMS6 excluded & 0.7142 & 0.7139 & 0.6295 & 0.454 \tabularnewline
AMS13 excluded & 0.7167 & 0.7178 & 0.633 & 0.4588 \tabularnewline
AMS20 excluded & 0.7028 & 0.7025 & 0.614 & 0.4405 \tabularnewline
AMS27 excluded & 0.7085 & 0.709 & 0.6206 & 0.4482 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271011&T=1

[TABLE]
[ROW][C]Cronbach Alpha and Related Statistics[/C][/ROW]
[ROW][C]Items[/C][C]Cronbach Alpha[/C][C]Std. Alpha[/C][C]G6(smc)[/C][C]Average R[/C][/ROW]
[ROW][C]All itmes[/C][C]0.766[/C][C]0.7662[/C][C]0.7166[/C][C]0.4504[/C][/ROW]
[ROW][C]AMS6 excluded[/C][C]0.7142[/C][C]0.7139[/C][C]0.6295[/C][C]0.454[/C][/ROW]
[ROW][C]AMS13 excluded[/C][C]0.7167[/C][C]0.7178[/C][C]0.633[/C][C]0.4588[/C][/ROW]
[ROW][C]AMS20 excluded[/C][C]0.7028[/C][C]0.7025[/C][C]0.614[/C][C]0.4405[/C][/ROW]
[ROW][C]AMS27 excluded[/C][C]0.7085[/C][C]0.709[/C][C]0.6206[/C][C]0.4482[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271011&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271011&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Cronbach Alpha and Related Statistics
ItemsCronbach AlphaStd. AlphaG6(smc)Average R
All itmes0.7660.76620.71660.4504
AMS6 excluded0.71420.71390.62950.454
AMS13 excluded0.71670.71780.6330.4588
AMS20 excluded0.70280.70250.6140.4405
AMS27 excluded0.70850.7090.62060.4482



Parameters (Session):
Parameters (R input):
par1 = TRUE ;
R code (references can be found in the software module):
library(psych)
par1b <- T
if(par1=='FALSE') par1b <- F
z <- t(y)
(r <- alpha(z,check.keys=par1b))
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Cronbach Alpha and Related Statistics',5,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Items',1,TRUE)
a<-table.element(a,'Cronbach Alpha',1,TRUE)
a<-table.element(a,'Std. Alpha',1,TRUE)
a<-table.element(a,'G6(smc)',1,TRUE)
a<-table.element(a,'Average R',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'All itmes',header=TRUE)
a<-table.element(a,round(r$total['raw_alpha'],4))
a<-table.element(a,round(r$total['std.alpha'],4))
a<-table.element(a,round(r$total['G6(smc)'],4))
a<-table.element(a,round(r$total['average_r'],4))
a<-table.row.end(a)
n = length(z[1,])
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,paste(colnames(z)[i],' excluded',sep=''),header=TRUE)
a<-table.element(a,round(r$alpha.drop[i,'raw_alpha'],4))
a<-table.element(a,round(r$alpha.drop[i,'std.alpha'],4))
a<-table.element(a,round(r$alpha.drop[i,'G6(smc)'],4))
a<-table.element(a,round(r$alpha.drop[i,'average_r'],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')