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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 computationSun, 14 Dec 2014 22:25:21 +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/14/t1418595938rh988wftx03yp15.htm/, Retrieved Thu, 16 May 2024 09:11:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=267918, Retrieved Thu, 16 May 2024 09:11:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact107
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Cronbach Alpha] [] [2014-12-14 22:25:21] [b22ed12f8980e34362f6926e9ebd1315] [Current]
-    D    [Cronbach Alpha] [] [2014-12-14 22:33:13] [2b9d0c54c8c845c625e475ed5f1f3af1]
-    D    [Cronbach Alpha] [] [2014-12-14 23:28:38] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RMPD      [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 13:26:13] [2b9d0c54c8c845c625e475ed5f1f3af1]
-    D        [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 14:08:02] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM            [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 14:08:41] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM D            [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 16:14:57] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RMP               [Percentiles] [] [2014-12-15 16:22:39] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM                  [Tukey lambda PPCC Plot] [] [2014-12-15 16:26:30] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RMP                   [Kernel Density Estimation] [] [2014-12-15 16:30:20] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RMP                     [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 16:35:22] [2b9d0c54c8c845c625e475ed5f1f3af1]
- R  D                      [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 17:24:27] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RMP                         [Percentiles] [] [2014-12-15 17:27:50] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM                            [Percentiles] [] [2014-12-15 17:28:11] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM                              [Tukey lambda PPCC Plot] [] [2014-12-15 17:35:55] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM                                [Kernel Density Estimation] [] [2014-12-15 17:40:21] [2b9d0c54c8c845c625e475ed5f1f3af1]
-                                     [Kernel Density Estimation] [] [2014-12-15 17:42:13] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM D                                  [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 17:47:00] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM                                      [Percentiles] [] [2014-12-15 17:50:51] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM                                        [Tukey lambda PPCC Plot] [] [2014-12-15 17:56:56] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM                                        [Kernel Density Estimation] [] [2014-12-15 18:08:51] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM D                                        [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 18:36:43] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM D                                        [Percentiles] [] [2014-12-15 18:50:26] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM D                                        [Tukey lambda PPCC Plot] [] [2014-12-15 18:51:10] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM D                                          [Notched Boxplots] [] [2014-12-15 19:44:02] [2b9d0c54c8c845c625e475ed5f1f3af1]
-    D                                        [Kernel Density Estimation] [] [2014-12-15 18:53:06] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RMP           [Percentiles] [] [2014-12-15 15:04:57] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM              [Tukey lambda PPCC Plot] [] [2014-12-15 15:20:17] [2b9d0c54c8c845c625e475ed5f1f3af1]
-                   [Tukey lambda PPCC Plot] [] [2014-12-15 15:35:56] [2b9d0c54c8c845c625e475ed5f1f3af1]
-    D    [Cronbach Alpha] [] [2014-12-17 19:04:16] [2b9d0c54c8c845c625e475ed5f1f3af1]
-    D      [Cronbach Alpha] [] [2014-12-17 19:13:55] [2b9d0c54c8c845c625e475ed5f1f3af1]
-    D      [Cronbach Alpha] [] [2014-12-17 19:15:54] [2b9d0c54c8c845c625e475ed5f1f3af1]
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Dataseries X:
5 5 4 4
7 6 5 5
5 6 5 6
6 5 5 6
5 5 5 4
7 7 6 5
7 7 7 7
3 5 3 5
7 7 7 7
6 5 4 6
5 5 6 6
7 6 5 6
5 7 6 6
7 7 6 6
7 7 7 7
6 6 6 6
6 6 5 3
7 7 6 6
4 6 6 5
7 7 7 7
7 7 6 7
6 5 6 6
6 6 6 6
7 6 4 7
6 6 5 5
5 5 5 6
7 4 7 7
6 5 4 5
4 6 6 5
7 6 6 7
6 6 5 6
6 5 5 5
7 7 6 7
7 6 6 6
6 5 6 6
6 7 6 6
7 7 3 6
5 6 4 4
4 7 5 6
5 7 6 6
5 5 4 5
3 6 6 6
7 7 7 6
6 7 6 6
5 7 6 7
4 6 7 6
5 5 3 4
7 7 7 7
5 6 7 7
5 5 5 5
6 6 7 6
6 4 5 6
6 6 6 6
7 7 7 7
5 6 4 5
4 5 5 5
6 6 6 6
6 5 5 5
7 5 6 6
6 6 5 6
4 5 3 6
6 7 7 7
5 6 7 7
5 5 4 6
5 5 6 5
6 6 5 6
7 7 7 6
6 5 6 7
6 7 7 7
6 7 6 5
6 5 6 6
6 7 5 6
5 6 5 5
5 6 6 6
7 7 7 6
6 6 6 7
5 5 4 5
6 6 6 6
7 6 6 6
7 5 6 5
6 6 5 6
6 6 7 6
7 6 7 6
6 7 6 7
3 3 4 6
5 6 6 6
7 6 6 7
6 7 5 7
6 6 5 6
7 6 7 6
6 6 5 5
6 7 3 4
6 7 7 7
4 6 4 6
6 6 5 5
6 6 6 6
6 5 5 5
7 7 5 5
7 6 7 6
7 4 6 7
7 6 6 5
7 7 6 7
7 7 4 7
7 7 7 6
5 5 4 5
4 7 4 7
5 5 5 7
7 6 6 6
6 6 5 6
3 7 7 7
6 6 6 6
6 6 5 6
5 5 6 6
7 7 4 6
3 6 5 5
6 6 6 7
6 7 7 6
4 4 4 6
6 6 6 6
7 7 7 7
6 6 5 6
3 4 6 6
6 5 4 4
7 7 6 7
6 6 6 6
7 7 7 5
5 4 7 5
7 7 4 7
7 7 7 7
4 5 4 6
6 4 5 5
6 6 7 7
7 7 7 6
6 6 5 6
4 5 4 5
6 7 6 4
6 5 5 5
6 6 5 6
4 6 6 6
5 4 6 6
3 4 3 4
6 6 6 6
6 7 6 7
6 6 6 6
7 6 3 6
6 5 4 5
5 5 4 6
3 5 4 6
6 3 3 6
7 6 6 6
7 7 7 7
7 6 6 4
5 5 5 5
6 4 5 7
7 7 6 7
5 6 6 7
6 7 5 5
4 5 6 5
6 5 5 6
5 7 5 4
6 6 6 6
7 7 5 7
7 6 5 6
4 5 4 5
4 4 5 4
6 6 5 6
6 6 4 5
5 4 6 6
6 7 6 5
5 6 6 5
6 5 6 7
6 7 5 6
6 6 6 6
5 6 6 6
5 5 6 5
4 7 7 6
4 5 5 5
2 6 5 6
6 6 5 6
7 6 6 6
6 6 6 6
6 6 4 5
3 4 6 5
6 6 6 5
4 6 5 5
6 6 5 6
6 6 5 6
6 6 5 6
6 6 5 6
7 7 7 6
6 3 5 5
6 7 6 6
6 7 6 6
6 4 6 5
7 7 5 6
4 6 3 4
4 6 6 6
6 5 6 6
6 7 7 7
7 6 7 7
1 1 2 1
6 4 4 5
6 7 6 5
6 6 6 5
7 7 7 7
7 7 7 4
7 7 7 6
3 2 6 5
7 7 5 6
7 6 6 7
6 6 6 6
3 6 7 7
6 6 6 6
7 7 6 7
6 7 6 6
4 5 4 6
5 4 3 7
7 7 4 6
5 5 5 5
5 6 5 5
7 7 7 7
7 7 6 6
5 5 5 4
7 6 5 5
6 7 4 6
5 5 6 5
6 7 6 7
6 7 5 7
6 6 7 6
6 6 6 6
5 6 6 6
6 5 5 6
7 7 6 7
7 6 6 7
5 6 6 6
6 6 5 5
7 6 6 7
7 5 3 7
4 3 3 7
6 7 6 6
5 5 5 7
7 7 7 7
6 5 5 6
4 5 6 6
5 7 6 6
7 7 5 7
7 6 6 7
6 6 6 6
7 7 6 7
6 5 5 6
7 6 5 5
6 5 5 6
5 7 6 5
5 2 2 6
5 6 5 4
5 5 6 6
6 7 5 7
7 7 6 7
7 5 6 6
6 4 5 6
4 4 6 3
7 7 6 6
5 5 5 5
5 6 6 5
7 6 6 5
6 6 5 6
6 6 5 5
7 7 7 7
6 5 5 5
6 6 6 6
7 7 7 7
4 7 7 7
6 6 6 6
6 6 6 6
4 6 5 6
4 6 4 6
7 7 6 6
6 5 3 2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267918&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267918&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267918&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 time0 seconds
R Server'George Udny Yule' @ yule.wessa.net







Cronbach Alpha and Related Statistics
ItemsCronbach AlphaStd. AlphaG6(smc)Average R
All itmes0.71450.71620.6610.3868
AMS3 excluded0.66420.66440.57090.3976
AMS10 excluded0.61240.61840.52090.3507
AMS17 excluded0.65680.65680.56610.3895
AMS24 excluded0.67330.67530.5890.4094

\begin{tabular}{lllllllll}
\hline
Cronbach Alpha and Related Statistics \tabularnewline
Items & Cronbach Alpha & Std. Alpha & G6(smc) & Average R \tabularnewline
All itmes & 0.7145 & 0.7162 & 0.661 & 0.3868 \tabularnewline
AMS3 excluded & 0.6642 & 0.6644 & 0.5709 & 0.3976 \tabularnewline
AMS10 excluded & 0.6124 & 0.6184 & 0.5209 & 0.3507 \tabularnewline
AMS17 excluded & 0.6568 & 0.6568 & 0.5661 & 0.3895 \tabularnewline
AMS24 excluded & 0.6733 & 0.6753 & 0.589 & 0.4094 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267918&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]0.7145[/C][C]0.7162[/C][C]0.661[/C][C]0.3868[/C][/ROW]
[ROW][C]AMS3 excluded[/C][C]0.6642[/C][C]0.6644[/C][C]0.5709[/C][C]0.3976[/C][/ROW]
[ROW][C]AMS10 excluded[/C][C]0.6124[/C][C]0.6184[/C][C]0.5209[/C][C]0.3507[/C][/ROW]
[ROW][C]AMS17 excluded[/C][C]0.6568[/C][C]0.6568[/C][C]0.5661[/C][C]0.3895[/C][/ROW]
[ROW][C]AMS24 excluded[/C][C]0.6733[/C][C]0.6753[/C][C]0.589[/C][C]0.4094[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267918&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267918&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 itmes0.71450.71620.6610.3868
AMS3 excluded0.66420.66440.57090.3976
AMS10 excluded0.61240.61840.52090.3507
AMS17 excluded0.65680.65680.56610.3895
AMS24 excluded0.67330.67530.5890.4094



Parameters (Session):
par1 = TRUE ;
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')