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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 computationTue, 19 Oct 2010 14:47:36 +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/t1287499576cm1bttxdqj6r92s.htm/, Retrieved Mon, 29 Apr 2024 01:04:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=86577, Retrieved Mon, 29 Apr 2024 01:04:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact80

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] [] [2010-10-19 14:47:36] [9003764b6a75599accb6eea9154ba195] [Current]
Feedback Forum
2010-10-25 16:49:12 [6f5a430a34dfbeab884e51a2f2a26434] [reply] 
Je interpreteert de gegevens goed, maar niet uitgebreid genoeg. Je kan je bijvoorbeeld baseren op de vuistregel van >0.7, wat op zich niet fout is. Maar je hebt een preciezere tabel gekregen waarmee je betere vergelijkingen kunt maken.

Je ziet dat voor alle items bij de identified regulation een waarde van 0.7394 staat. Het artikel vereist slechts 0.62, wat erop wijst dat de ondervraagden van deze steekproef beter scoren dan wat als normaal aanzien wordt. Het wijst ook op een goede samenhang tussen de vragen.

De introjected regulation scoort voor alle items 0.7968, wat wel onder de alpha van het artikel ligt (met name 0.84). Het verschil is niet spectaculair groot, dus mag men nog steeds spreken van een goede samenhang tussen de vragen (gebaseerd op de vuistregel).

Bij de external regulation is de score die het artikel vereist is 0.83, wat de groep niet haalt met een alpha van 0.7416. Net zoals bij de introjected regulation kan men niet spreken van een significant verschil en kan men aannemen dat de vragen een goede samenhang vertonen op basis van de vuistregel. Men kan dus algemeen zeggen dat de ondervraagde groep een zeer goede identified regulation vertoont en over het algemeen een goede externe motivatie heeft.

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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=86577&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=86577&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86577&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=86577&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=86577&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86577&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')