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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_cronbach.wasp
Title produced by softwareCronbach Alpha
Date of computationMon, 18 Oct 2010 22:44:44 +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/2010/Oct/19/t1287441850m2fts4nu4gjnx6h.htm/, Retrieved Mon, 29 Apr 2024 01:14:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=85697, Retrieved Mon, 29 Apr 2024 01:14:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact105

Tree of Dependent Computations

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 11:46:14] [b98453cac15ba1066b407e146608df68]
F    D    [Cronbach Alpha] [] [2010-10-18 22:44:44] [6b67b7c8c7d0a997c30f007387afbdb8] [Current]
Feedback Forum
2010-10-22 10:50:12 [abfc2690eac87da053eb0d612ccdbe5b] [reply] 
Let wel op, want je hebt de waarden van Cronbach α 100x vergroot. Bij de 3de groep van de extrinsieke factoren is het inderdaad zo dat zonder vraag 22 de Cronbach α daalt tot 60,23, maar dat is niet doordat de vragen niet samenhoren. Net als men vraag 22 zou weglaten, is de Cronbach α laag, dus is vraag 22 net een goede vraag, want zonder die vraag heb je een (te) lage Cronbach α – waarde. Dus vraag 22 moet er zeker in blijven. Bij alle andere uitgesloten vragen heb je nog een goede Cronbach α waarden, als we die vraag dus weglaten is dat geen ramp, de waarde van Cronbach α blijft goed (vuistregel >0.7)
2010-10-25 20:52:33 [Naoual Ahidar] [reply] 
Bij deze berekeningen zien we dat de α waarde niet erg hoog is, maar wel boven de 0,7 ligt en we dus mogen aannemen dat de vragen gegroepeerd mogen worden. Ook de robuustheid is in orde bij identificatie. Bij external regulation stellen we vast dat wanneer vraag 22 wordt weggelaten, de Cronbach α zakt van 0,7416 naar 0,6023. Dit kan erop wijzen dat deze vraag niet toegevoegd zou mogen worden aan de groep. Wat ook opmerkelijk is, is dat bij introjected de waarde van de Cronbach α stijgt van 0,7968 naar 0,819 wanneer vraag 14 wordt weggelaten. Maar kan er denk ik enkel op wijzen dat deze vraag zeker bij de groep mag opgenomen worden.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4	7	5	7
5	5	5	5
4	6	5	5
3	6	6	6
6	6	6	6
5	5	5	7
5	7	5	6
1	6	6	7
4	7	7	7
5	6	6	6
6	7	7	7
7	7	6	7
5	6	6	5
6	6	6	6
5	7	6	7
4	6	6	6
7	7	7	7
7	7	7	7
6	7	7	7
6	7	6	6
2	5	5	4
7	7	7	7
5	5	5	6
4	6	7	7
7	7	6	7
1	6	2	5
1	6	2	5
7	6	7	7
4	6	4	6
5	6	4	6
5	6	5	6
5	5	5	6
4	3	4	1
5	3	7	5
5	5	7	7
4	6	4	5
7	7	7	7
7	7	4	5
7	7	6	7
4	6	6	6
7	7	6	7
7	7	6	6
4	6	6	6
3	6	7	5
2	5	6	6
6	6	6	6
4	6	4	5
5	7	7	7
4	6	6	6
7	7	7	7
4	6	6	5
6	5	7	5
7	7	7	7
1	4	2	3
5	7	6	6
4	5	6	6
5	6	5	5
5	7	6	6
5	7	6	6
5	7	6	7
5	7	6	7
5	6	6	6
6	6	4	5
3	6	3	4
4	4	4	5
6	6	7	6
6	6	6	6
3	7	6	7
5	7	7	6
2	7	7	7
7	7	7	7
7	7	5	7
4	6	6	6
6	5	3	5
6	7	6	7
3	5	5	5
3	5	5	5
6	7	6	6
7	7	6	7
3	2	4	3
1	6	4	4
5	6	5	5
5	6	6	6
5	6	5	6
5	5	5	6
6	6	6	6
6	7	7	7
5	5	5	7
7	7	7	7
6	6	7	7
1	5	2	2
3	6	5	5
5	7	4	6
1	7	7	6
6	6	6	6
4	7	7	7
5	6	5	5
5	5	5	5
6	5	4	6
5	6	7	6
5	6	5	7
4	6	4	4
6	6	6	6
6	6	6	6
4	5	5	5
5	5	5	5
5	5	3	5
2	7	5	6
7	7	6	7
5	6	6	6
5	7	7	7
2	7	7	7
3	4	5	5
5	5	5	6
5	7	6	7
5	7	4	7
6	7	7	7
6	6	5	7
4	5	6	5
6	7	7	7
3	4	7	7
6	6	6	6
4	6	6	5
3	3	4	5
4	7	7	7
6	6	6	7
4	7	5	6
6	6	6	6
5	5	5	6
5	6	5	6
5	6	6	6
3	7	6	6
5	6	4	5
4	7	6	6
5	6	7	7
5	6	6	6
1	7	7	7
4	7	7	7
7	7	6	6
4	7	5	6
6	6	5	7
7	7	5	5
6	7	7	5
5	6	3	6
6	7	6	7
5	6	5	5
5	7	7	7
6	6	4	5
5	5	6	6
3	4	4	5
6	7	6	7
7	7	7	7
4	5	4	5
5	7	6	7
4	6	7	6
5	5	5	6
2	6	6	6
7	7	4	7
5	7	4	6
4	6	6	5
2	5	4	5
4	6	3	5

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=85697&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=85697&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=85697&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Cronbach Alpha and Related Statistics
ItemsCronbach AlphaStd. AlphaG6(smc)Average R
All itmes0.74160.77060.74010.4565
Q1 excluded0.77670.78370.73030.5471
Q8 excluded0.68420.71680.65530.4576
Q15 excluded0.67740.720.65420.4616
Q22 excluded0.60230.62770.53130.3598

\begin{tabular}{lllllllll}
\hline
Cronbach Alpha and Related Statistics \tabularnewline
Items & Cronbach Alpha & Std. Alpha & G6(smc) & Average R \tabularnewline
All itmes & 0.7416 & 0.7706 & 0.7401 & 0.4565 \tabularnewline
Q1 excluded & 0.7767 & 0.7837 & 0.7303 & 0.5471 \tabularnewline
Q8 excluded & 0.6842 & 0.7168 & 0.6553 & 0.4576 \tabularnewline
Q15 excluded & 0.6774 & 0.72 & 0.6542 & 0.4616 \tabularnewline
Q22 excluded & 0.6023 & 0.6277 & 0.5313 & 0.3598 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=85697&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]0.7416[/C][C]0.7706[/C][C]0.7401[/C][C]0.4565[/C][/ROW]
[ROW][C]Q1 excluded[/C][C]0.7767[/C][C]0.7837[/C][C]0.7303[/C][C]0.5471[/C][/ROW]
[ROW][C]Q8 excluded[/C][C]0.6842[/C][C]0.7168[/C][C]0.6553[/C][C]0.4576[/C][/ROW]
[ROW][C]Q15 excluded[/C][C]0.6774[/C][C]0.72[/C][C]0.6542[/C][C]0.4616[/C][/ROW]
[ROW][C]Q22 excluded[/C][C]0.6023[/C][C]0.6277[/C][C]0.5313[/C][C]0.3598[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=85697&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=85697&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:

Cronbach Alpha and Related Statistics
ItemsCronbach AlphaStd. AlphaG6(smc)Average R
All itmes0.74160.77060.74010.4565
Q1 excluded0.77670.78370.73030.5471
Q8 excluded0.68420.71680.65530.4576
Q15 excluded0.67740.720.65420.4616
Q22 excluded0.60230.62770.53130.3598


Figures (Output of Computation)

Input Parameters & R Code

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')