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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 computationFri, 21 Dec 2012 10:10:38 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/21/t13561026528nj6x2o4tyzhc3t.htm/, Retrieved Wed, 24 Apr 2024 19:35:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=203776, Retrieved Wed, 24 Apr 2024 19:35:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact60
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Cronbach Alpha] [Intrinsic Motivat...] [2010-10-12 11:40:37] [b98453cac15ba1066b407e146608df68]
- R  D  [Cronbach Alpha] [Extrinsic motivat...] [2012-10-16 20:03:35] [0f86cfddc502cf698caf54991235c44d]
-    D    [Cronbach Alpha] [Extrinsic motivat...] [2012-10-16 20:09:44] [0f86cfddc502cf698caf54991235c44d]
-    D      [Cronbach Alpha] [I1 chronbach alfa] [2012-12-21 14:31:45] [0f86cfddc502cf698caf54991235c44d]
-    D          [Cronbach Alpha] [I3 Cronbach Alpha] [2012-12-21 15:10:38] [a1c9ee8128156b02a669e54abb47d426] [Current]
-    D            [Cronbach Alpha] [E2 Cronbach alpha] [2012-12-21 15:21:43] [0f86cfddc502cf698caf54991235c44d]
- RM D              [Survey Scores] [E3 Cronbach Alpha] [2012-12-21 15:38:24] [0f86cfddc502cf698caf54991235c44d]
-    D              [Cronbach Alpha] [E3 Cronbach alpha] [2012-12-21 15:39:53] [0f86cfddc502cf698caf54991235c44d]
-  M                  [Cronbach Alpha] [A Cronbach alpha] [2012-12-21 15:45:27] [0f86cfddc502cf698caf54991235c44d]
-    D                [Cronbach Alpha] [A Cronbach alpha] [2012-12-21 15:47:48] [0f86cfddc502cf698caf54991235c44d]
- RM D                [Histogram] [I1 histogram] [2012-12-21 15:55:39] [0f86cfddc502cf698caf54991235c44d]
- R PD                  [Histogram] [I3 histogram] [2012-12-21 19:25:45] [0f86cfddc502cf698caf54991235c44d]
- RMPD                  [Stem-and-leaf Plot] [I3 stem-and-leaf ...] [2012-12-21 19:27:37] [0f86cfddc502cf698caf54991235c44d]
- RM D                  [Percentiles] [I3 QQ-plot] [2012-12-21 19:29:25] [0f86cfddc502cf698caf54991235c44d]
- R  D                    [Percentiles] [E2 QQ-plot] [2012-12-21 19:42:32] [0f86cfddc502cf698caf54991235c44d]
-    D                      [Percentiles] [E3 QQ-plot] [2012-12-21 19:59:05] [0f86cfddc502cf698caf54991235c44d]
-   PD                        [Percentiles] [A QQ-plot] [2012-12-21 20:04:12] [0f86cfddc502cf698caf54991235c44d]
- RMPD                        [Tukey lambda PPCC Plot] [A Tukey-Lambda PP...] [2012-12-21 20:06:03] [0f86cfddc502cf698caf54991235c44d]
- RMPD                        [Notched Boxplots] [motivation notche...] [2012-12-21 20:14:37] [0f86cfddc502cf698caf54991235c44d]
- RMPD                        [One Sample Tests about the Mean] [hypothesis 1] [2012-12-21 21:37:55] [0f86cfddc502cf698caf54991235c44d]
- RM D                          [Testing Mean with unknown Variance - Critical Value] [hypothesis 2] [2012-12-21 21:50:54] [0f86cfddc502cf698caf54991235c44d]
- RM D                      [Tukey lambda PPCC Plot] [E3 Tukey-lambda P...] [2012-12-21 19:59:59] [0f86cfddc502cf698caf54991235c44d]
- RMPD                      [Histogram] [A histogram] [2012-12-21 20:02:16] [0f86cfddc502cf698caf54991235c44d]
- RMPD                      [Stem-and-leaf Plot] [A stem-and-leaf plot] [2012-12-21 20:02:59] [0f86cfddc502cf698caf54991235c44d]
- RM D                    [Tukey lambda PPCC Plot] [E2 Tukey-Lambda P...] [2012-12-21 19:44:19] [0f86cfddc502cf698caf54991235c44d]
- RMPD                    [Histogram] [E3 histogram] [2012-12-21 19:56:34] [0f86cfddc502cf698caf54991235c44d]
- RMPD                    [Stem-and-leaf Plot] [E3 stem-and-leaf ...] [2012-12-21 19:57:20] [0f86cfddc502cf698caf54991235c44d]
- RM D                  [Tukey lambda PPCC Plot] [I3 Tukey-lambda P...] [2012-12-21 19:36:16] [0f86cfddc502cf698caf54991235c44d]
- R PD                  [Histogram] [E2 histogram] [2012-12-21 19:38:39] [0f86cfddc502cf698caf54991235c44d]
- RMPD                  [Stem-and-leaf Plot] [E2 stem-and-leaf ...] [2012-12-21 19:40:04] [0f86cfddc502cf698caf54991235c44d]
- RM D                [Stem-and-leaf Plot] [I1 stem-and-leaf ...] [2012-12-21 16:02:30] [0f86cfddc502cf698caf54991235c44d]
- RM D                [Percentiles] [I1 QQ-plot] [2012-12-21 16:09:25] [0f86cfddc502cf698caf54991235c44d]
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Dataseries X:
6	6	4	5
4	4	3	4
6	2	5	5
4	2	2	3
2	2	2	2
5	5	5	4
1	1	1	1
6	4	5	5
3	5	4	4
4	4	3	3
3	1	1	5
2	2	5	4
4	4	3	3
3	2	2	1
5	6	6	6
3	3	3	2
3	2	2	2
6	6	6	6
1	2	1	1
1	6	4	4
1	1	1	2
5	4	5	5
2	1	1	2
3	4	3	3
3	2	2	4
5	5	6	1
5	5	6	1
1	1	1	2
2	1	2	4
3	4	4	4
5	4	4	4
3	5	4	5
5	5	4	6
3	3	3	3
2	1	1	3
4	5	3	4
3	2	1	1
3	3	3	5
6	6	6	6
6	4	3	2
3	4	4	4
3	2	2	3
4	3	3	4
4	5	4	5
2	5	3	2
2	2	2	3
3	2	2	2
2	1	1	4
5	4	4	5
5	1	2	2
6	4	3	4
3	4	4	3
3	5	4	4
2	4	2	2
5	5	4	5
2	2	2	4
4	3	3	4
4	2	2	2
1	1	1	1
6	5	4	4
2	2	1	4
3	3	3	3
4	4	4	4
3	2	1	5
4	5	4	5
3	2	1	5
6	6	6	6
4	5	4	4
5	4	4	5
3	2	2	2
4	4	5	6
3	5	5	5
3	4	3	2
6	6	5	6
6	6	5	5
2	4	4	4
2	4	4	4
6	3	3	4
5	6	5	7
1	2	3	1
2	2	4	2
5	2	2	3
3	3	3	3
3	2	3	4
4	4	5	4
6	5	5	5
4	4	4	4
2	3	3	3
4	4	4	2
4	3	3	3
2	2	2	3
4	5	5	5
3	3	3	4
6	5	4	4
4	3	3	3
4	3	3	3
3	4	2	4
3	3	4	4
3	3	3	3
4	6	6	6
2	3	3	3
2	1	1	1
3	5	5	5
3	6	5	5
4	4	3	3
4	4	3	4
2	5	3	2
5	4	4	6
5	4	1	5
4	3	5	5
4	1	2	1
3	2	3	2
4	3	2	3
4	2	3	3
5	5	5	5
4	2	3	3
5	2	2	3
3	4	3	4
2	2	1	1
1	3	3	3
5	4	5	4
5	3	4	6
3	1	1	2
4	5	4	5
4	1	1	3
5	4	4	4
5	5	6	6
3	3	3	2
4	4	3	4
6	3	3	5
4	3	4	4
5	6	6	5
4	2	1	2
4	4	2	3
5	5	4	6
4	4	3	3
3	4	2	5
3	3	2	4
6	4	5	5
5	5	5	5
2	3	2	1
4	5	4	4
3	2	2	2
3	6	4	5
5	6	4	7
3	2	2	3
3	3	3	4
4	4	3	4
5	4	4	5
5	4	5	4
5	4	2	1
5	3	2	2
3	7	5	5
4	4	2	2
4	4	4	4
3	4	4	5
4	4	4	6
4	4	4	4
3	3	3	4
2	5	4	6
4	3	2	4
4	5	4	4




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203776&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203776&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203776&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'Gertrude Mary Cox' @ cox.wessa.net







Cronbach Alpha and Related Statistics
ItemsCronbach AlphaStd. AlphaG6(smc)Average R
All itmes0.84140.84070.8160.5688
Q1_4 excluded0.84860.84940.80530.6528
Q1_11 excluded0.76840.76840.69440.5252
Q1_18 excluded0.75640.75560.67930.5075
Q1_25 excluded0.81330.81170.77440.5897

\begin{tabular}{lllllllll}
\hline
Cronbach Alpha and Related Statistics \tabularnewline
Items & Cronbach Alpha & Std. Alpha & G6(smc) & Average R \tabularnewline
All itmes & 0.8414 & 0.8407 & 0.816 & 0.5688 \tabularnewline
Q1_4 excluded & 0.8486 & 0.8494 & 0.8053 & 0.6528 \tabularnewline
Q1_11 excluded & 0.7684 & 0.7684 & 0.6944 & 0.5252 \tabularnewline
Q1_18 excluded & 0.7564 & 0.7556 & 0.6793 & 0.5075 \tabularnewline
Q1_25 excluded & 0.8133 & 0.8117 & 0.7744 & 0.5897 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203776&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]0.8414[/C][C]0.8407[/C][C]0.816[/C][C]0.5688[/C][/ROW]
[ROW][C]Q1_4 excluded[/C][C]0.8486[/C][C]0.8494[/C][C]0.8053[/C][C]0.6528[/C][/ROW]
[ROW][C]Q1_11 excluded[/C][C]0.7684[/C][C]0.7684[/C][C]0.6944[/C][C]0.5252[/C][/ROW]
[ROW][C]Q1_18 excluded[/C][C]0.7564[/C][C]0.7556[/C][C]0.6793[/C][C]0.5075[/C][/ROW]
[ROW][C]Q1_25 excluded[/C][C]0.8133[/C][C]0.8117[/C][C]0.7744[/C][C]0.5897[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203776&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203776&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 itmes0.84140.84070.8160.5688
Q1_4 excluded0.84860.84940.80530.6528
Q1_11 excluded0.76840.76840.69440.5252
Q1_18 excluded0.75640.75560.67930.5075
Q1_25 excluded0.81330.81170.77440.5897



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
library(psych)
z <- t(y)
(r <- alpha(z))
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')