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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 10:21:43 -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/t1356103321a750ii283dky2mj.htm/, Retrieved Wed, 24 Apr 2024 02:06:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=203791, Retrieved Wed, 24 Apr 2024 02:06:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact80
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] [0f86cfddc502cf698caf54991235c44d]
-    D            [Cronbach Alpha] [E2 Cronbach alpha] [2012-12-21 15:21:43] [a1c9ee8128156b02a669e54abb47d426] [Current]
- 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:
7	1	4	5
5	3	5	4
5	4	4	5
5	5	5	6
5	5	5	5
7	7	7	7
7	1	4	7
5	5	6	6
3	2	4	7
6	3	3	6
7	6	5	7
6	4	2	5
5	3	3	3
3	3	3	2
7	6	7	7
5	5	5	5
7	5	5	5
7	5	4	6
7	1	6	7
6	5	6	6
5	3	4	5
7	4	6	7
4	2	3	5
7	3	2	5
7	5	5	6
7	5	5	7
7	5	5	7
3	2	1	2
7	4	5	6
5	6	6	6
7	6	5	7
5	4	6	6
5	6	7	6
4	3	4	4
5	6	5	6
6	3	6	6
7	4	7	7
5	4	2	5
7	7	7	7
7	5	5	6
6	5	5	5
6	4	5	6
7	6	6	7
7	4	5	6
6	4	5	6
6	2	4	6
4	3	2	3
7	6	6	6
5	4	4	4
6	6	6	6
5	3	3	4
3	4	3	3
7	5	7	7
6	2	4	4
6	7	4	7
5	6	5	5
5	5	5	5
7	1	2	4
7	6	6	6
7	6	6	6
6	2	5	7
6	5	6	5
7	5	4	4
7	6	6	7
5	5	4	4
7	4	4	7
6	6	6	6
5	2	4	6
6	6	6	6
5	5	5	5
5	4	5	5
6	2	6	6
6	2	2	5
6	5	6	6
7	6	7	6
6	6	5	5
5	5	5	5
7	5	6	6
7	5	7	7
6	5	5	5
7	5	6	7
6	3	2	2
6	4	5	5
7	3	6	6
6	4	6	7
7	7	7	7
7	5	5	5
5	5	5	5
3	1	1	1
6	4	5	6
6	4	5	5
5	3	4	6
6	5	5	7
6	5	3	6
6	6	6	6
7	5	5	5
6	3	6	6
6	3	4	5
6	4	5	6
7	5	5	6
6	5	6	6
5	3	2	5
5	5	6	5
6	6	6	6
6	6	5	6
6	5	5	5
5	4	6	6
6	4	4	6
4	2	4	1
6	3	6	7
7	6	7	7
7	6	6	6
5	6	3	4
5	5	5	5
7	6	5	6
3	2	2	3
7	6	7	7
5	5	5	6
7	3	5	6
5	5	2	6
3	4	3	5
6	6	6	6
5	5	6	6
4	4	3	3
7	7	7	7
6	2	5	5
7	6	7	6
2	6	4	5
5	4	5	5
6	4	6	6
6	3	4	5
6	6	6	6
2	5	3	5
6	6	3	3
7	6	6	7
4	1	3	3
7	5	7	7
7	4	5	5
6	6	5	6
6	6	5	6
2	5	4	4
7	4	5	6
7	5	7	7
5	4	3	4
5	3	6	6
6	3	4	5
5	6	5	6
6	2	4	4
6	4	4	5
6	4	5	5
5	4	5	5
6	5	6	6
7	3	7	7
7	5	6	7
6	4	5	6
6	4	5	6
6	6	6	5
7	7	6	7
6	5	5	7
5	4	3	6
5	3	4	4
5	1	5	5




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=203791&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=203791&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203791&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 itmes0.79680.80230.77750.5037
Q1_7 excluded0.77220.77740.7230.5379
Q1_14 excluded0.8190.82050.76160.6038
Q1_21 excluded0.68170.69550.63660.4322
Q1_28 excluded0.69990.70280.64050.4408

\begin{tabular}{lllllllll}
\hline
Cronbach Alpha and Related Statistics \tabularnewline
Items & Cronbach Alpha & Std. Alpha & G6(smc) & Average R \tabularnewline
All itmes & 0.7968 & 0.8023 & 0.7775 & 0.5037 \tabularnewline
Q1_7 excluded & 0.7722 & 0.7774 & 0.723 & 0.5379 \tabularnewline
Q1_14 excluded & 0.819 & 0.8205 & 0.7616 & 0.6038 \tabularnewline
Q1_21 excluded & 0.6817 & 0.6955 & 0.6366 & 0.4322 \tabularnewline
Q1_28 excluded & 0.6999 & 0.7028 & 0.6405 & 0.4408 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203791&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]0.7968[/C][C]0.8023[/C][C]0.7775[/C][C]0.5037[/C][/ROW]
[ROW][C]Q1_7 excluded[/C][C]0.7722[/C][C]0.7774[/C][C]0.723[/C][C]0.5379[/C][/ROW]
[ROW][C]Q1_14 excluded[/C][C]0.819[/C][C]0.8205[/C][C]0.7616[/C][C]0.6038[/C][/ROW]
[ROW][C]Q1_21 excluded[/C][C]0.6817[/C][C]0.6955[/C][C]0.6366[/C][C]0.4322[/C][/ROW]
[ROW][C]Q1_28 excluded[/C][C]0.6999[/C][C]0.7028[/C][C]0.6405[/C][C]0.4408[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203791&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203791&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 itmes0.79680.80230.77750.5037
Q1_7 excluded0.77220.77740.7230.5379
Q1_14 excluded0.8190.82050.76160.6038
Q1_21 excluded0.68170.69550.63660.4322
Q1_28 excluded0.69990.70280.64050.4408



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')