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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 computationTue, 16 Dec 2014 19:48:27 +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/16/t14187593738684f7aulq6p55x.htm/, Retrieved Thu, 16 May 2024 11:42:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=269916, Retrieved Thu, 16 May 2024 11:42:11 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact77
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Cronbach Alpha] [] [2014-12-16 19:48:27] [94ef54447bb0146b66f4a809a85d3ed7] [Current]
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Dataseries X:
42,50	60,00	83,00
35,00	40,00	63,00
47,50	80,00	94,50
30,00	40,00	58,00
45,00	40,00	73,00
37,50	40,00	69,25
37,50	60,00	74,25
30,00	40,00	58,75
52,50	60,00	92,25
42,50	40,00	79,50
52,50	80,00	99,50
32,50	20,00	54,75
47,50	80,00	92,25
42,50	60,00	75,50
37,50	60,00	75,00
25,00	40,00	56,75
40,00	60,00	79,75
50,00	60,00	90,50
35,00	80,00	73,00
47,50	60,00	88,00
35,00	80,00	76,75
30,00	40,00	67,00
35,00	60,00	69,50
35,00	60,00	76,25
17,50	80,00	64,50
40,00	60,00	80,50
50,00	60,00	86,75
27,50	60,00	65,75
30,00	60,00	60,75
32,50	20,00	63,00
32,50	20,00	51,75
42,50	60,00	77,00
20,00	40,00	48,00
47,50	60,00	91,00
40,00	40,00	68,00
42,50	40,00	74,25
35,00	40,00	70,50
45,00	40,00	74,50
40,00	60,00	81,25
40,00	40,00	68,00
40,00	60,00	78,25
45,00	40,00	73,00
42,50	20,00	63,25
35,00	20,00	59,50
47,50	80,00	96,00
42,50	60,00	83,00
37,50	20,00	56,00
35,00	40,00	66,00
42,50	60,00	79,25
35,00	20,00	55,75
40,00	60,00	78,25
17,50	20,00	38,25
42,50	20,00	76,00
50,00	40,00	78,00
37,50	40,00	65,50
32,50	20,00	59,25
25,00	40,00	62,00
20,00	40,00	57,00
40,00	60,00	74,50
52,50	80,00	99,50
32,50	40,00	56,00
40,00	60,00	73,00
45,00	40,00	73,75
42,50	40,00	75,75
47,50	60,00	84,25
15,00	40,00	39,25
30,00	60,00	63,00
2,50	60,00	39,25
32,50	20,00	54,75
37,50	40,00	61,75
22,50	40,00	49,75
40,00	60,00	74,50
45,00	60,00	83,25
37,50	40,00	67,00
42,50	40,00	69,75
35,00	60,00	78,50
47,50	60,00	84,25
32,50	20,00	54,75
47,50	60,00	76,75
30,00	40,00	61,00
40,00	40,00	75,50
47,50	60,00	88,75
40,00	60,00	76,00
45,00	60,00	83,25
25,00	20,00	40,50
2,50	20,00	21,75
37,50	20,00	63,50
45,00	80,00	90,50
47,50	80,00	89,25
40,00	80,00	85,50
50,00	80,00	95,50
35,00	80,00	80,50
42,50	40,00	66,75
45,00	80,00	92,00
47,50	20,00	73,50
20,00	60,00	53,00
30,00	60,00	63,00
40,00	80,00	81,00
27,50	60,00	68,00
37,50	60,00	70,50
35,00	60,00	72,50
37,50	80,00	80,75
40,00	60,00	73,75
35,00	60,00	74,00
35,00	40,00	62,25
30,00	40,00	63,25
50,00	60,00	86,75
12,50	20,00	43,00
45,00	80,00	92,00
40,00	60,00	80,50
42,50	80,00	88,75
30,00	80,00	76,25
45,00	80,00	88,25
40,00	80,00	78,00
40,00	80,00	81,75
45,00	80,00	88,25
27,50	60,00	68,00
25,00	80,00	58,50
35,00	60,00	71,75
27,50	80,00	73,75
45,00	80,00	91,25
10,00	80,00	49,50
42,50	60,00	80,00
45,00	80,00	91,25
42,50	80,00	84,25
50,00	80,00	94,75
45,00	60,00	78,00
40,00	80,00	85,50
50,00	20,00	80,50
37,50	80,00	77,00
37,50	80,00	77,00
30,00	60,00	66,75
50,00	80,00	95,50
15,00	20,00	38,00
50,00	80,00	95,50
27,50	80,00	73,75
50,00	80,00	96,25
30,00	80,00	68,00
25,00	80,00	63,75
22,50	20,00	49,25
37,50	80,00	76,25
25,00	60,00	59,50
40,00	80,00	81,75
27,50	60,00	62,00
37,50	80,00	71,75
47,50	80,00	90,75
42,50	80,00	88,75
32,50	60,00	61,75
32,50	80,00	78,00
52,50	80,00	96,50
40,00	80,00	85,50
50,00	60,00	92,00
47,50	80,00	95,25
45,00	80,00	92,75
50,00	80,00	95,50
22,50	80,00	64,25
22,50	40,00	47,50
2,50	20,00	22,50
22,50	80,00	68,00
27,50	40,00	58,50
30,00	60,00	66,75
42,50	80,00	88,75
42,50	80,00	88,00
27,50	60,00	70,25
35,00	80,00	80,50
25,00	80,00	66,75
17,50	80,00	59,25
25,00	40,00	59,75
25,00	80,00	66,00
7,50	40,00	38,50
40,00	60,00	73,00




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269916&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269916&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269916&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'George Udny Yule' @ yule.wessa.net







Cronbach Alpha and Related Statistics
ItemsCronbach AlphaStd. AlphaG6(smc)Average R
All itmes0.77720.82470.94420.6106
EX excluded0.77220.79290.65690.6569
PR excluded0.90250.93520.87830.8783
TOT excluded0.38910.45770.29670.2967

\begin{tabular}{lllllllll}
\hline
Cronbach Alpha and Related Statistics \tabularnewline
Items & Cronbach Alpha & Std. Alpha & G6(smc) & Average R \tabularnewline
All itmes & 0.7772 & 0.8247 & 0.9442 & 0.6106 \tabularnewline
EX excluded & 0.7722 & 0.7929 & 0.6569 & 0.6569 \tabularnewline
PR excluded & 0.9025 & 0.9352 & 0.8783 & 0.8783 \tabularnewline
TOT excluded & 0.3891 & 0.4577 & 0.2967 & 0.2967 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269916&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]0.7772[/C][C]0.8247[/C][C]0.9442[/C][C]0.6106[/C][/ROW]
[ROW][C]EX excluded[/C][C]0.7722[/C][C]0.7929[/C][C]0.6569[/C][C]0.6569[/C][/ROW]
[ROW][C]PR excluded[/C][C]0.9025[/C][C]0.9352[/C][C]0.8783[/C][C]0.8783[/C][/ROW]
[ROW][C]TOT excluded[/C][C]0.3891[/C][C]0.4577[/C][C]0.2967[/C][C]0.2967[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269916&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269916&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 itmes0.77720.82470.94420.6106
EX excluded0.77220.79290.65690.6569
PR excluded0.90250.93520.87830.8783
TOT excluded0.38910.45770.29670.2967



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')