Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_cronbach.wasp
Title produced by softwareCronbach Alpha
Date of computationTue, 14 Feb 2023 15:54:51 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2023/Feb/14/t1676386549nphr5th8jiwtwfg.htm/, Retrieved Mon, 20 May 2024 01:58:35 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Mon, 20 May 2024 01:58:35 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsNJALA UNIVERSITY This questionnaire is an attempt to write a dissertation on: The Problem of Teacher Attrition and its Impact on Pupils’ Learning at Lokomasama Catholic Secondary School as a partial fulfilment for the award of Master of Education (M.Ed) in Educational Administration and Management at the above named institution. Therefore, all information given here will be treated with utmost confidentiality. Please read carefully and supply the appropriate response(s) or tick where necessary. SECTION A GENERAL INFORMATION 1. NAME OF SCHOOL....................................................................................... 2. LOCATION OF SCHOOL A. RURAL B. URBAN 3. CATEGORY OF SCHOOL A. JSS B. SSS 4. TYPE OF SCHOOL A. GOVERNMENT B. GOVERNMENT ASSISTED C. PRIVATE 5. NAME OF MISSION THAT MANAGES THE SCHOOL...................................... 6. WHAT IS THE CURRENT ROLL OF PUPILS IN THE SCHOOL?......................... 7. WHAT IS THE CURRENT STAFF ROLL OF THE SCHOOL?.............................. SECTION B EDUCATIONAL /PROFESSIONAL QUALIFICATION 8. WHAT IS YOUR HIGHEST QUALIFICATION? A. B.A. DIP. EDU. B. B.ED C. B.SC.ED D. HTC E. OTHERS SPECIFY................................... 9. STATUS A. PRINCIPAL B. VICE PRINCIPAL C. SENIOR TEACHER D. HOD E. TEACHER F. BURSAR G. OTHERS SPECIFY......................................... 10. HOW LONG HAVE YOU SERVED IN YOUR CURRENT POSITION?.................. SECTION C CAUSES OF TEACHER ATTRITION 11. HOW MANY TEACHERS DO YOU KNOW THAT HAVE LEFT YOUR SCHOOL SINCE 2011?...................................... 12. WHAT IS THE AVERAGE AGE OF TEACHERS THAT HAVE LEFT YOUR SCHOOL IN THE PAST FIVE ACADEMIC YEARS? A. 20-30 YEARS B. 31-40 YEARS C. 41-50 YEARS D. 51 – 60 YEARS 13. HOW MANY MALE TEACHERS THAT HAVE LEFT YOUR SCHOOL SINCE 2011?.......................................... 14. HOW MANY FEMALE TEACHERS THAT HAVE LEFT YOUR SCHOOL SINCE 2011?............................................ 15. WHAT ARE THE CAUSES OF TEACHER ATTRITION IN YOUR SCHOOL? A. SEARCH FOR GREENER PASTURE B. INSURBODINATION C. PROFESSIONAL MISCONDUCT D. SCHOOL LOCATION/ENVIRONMENT E.PROPRIETOR/MISSION THAT MANAGES THE SCHOOL F.LATE APPROVAL OF TEACHERS G.POOR WORKING CONDITION G. SOCIETAL ATTITUDE TO TEACHERS H. SCHOOL ROLL (HAVING TOO MANY PUPILS IN ONE CLASS) G. DON’T KNOW 16. HOW DO YOU COPE WITH THE PROBLEM OF TEACHER ATTRITION IN YOUR SCHOOL? A. EMPLOY NEW TEACHERS B.INCREASE WORKLOAD OF TEACHERS C.USE OF PART TIME TEACHERS D.ENGAGE IN TEACHING 17. IS YOUR SCHOOL GREATLY AFFECTED WITH THE PROBLEM OF TEACHER ATTRITION? A. YES B. NO C. DON’T KNOW 18. HOW DOES TEACHER ATTRITION AFFECT PUPILS LEARNING IN YOUR SCHOOL? A. LACK OF CERTAIN SUBJECTS TEACHERS B. INCOMPLETE SYLLABUS C. POOR STUDENTS OUTPUT IN CERTAIN SUBJECTS D. INDISCIPLINE IN CLASS E. POOR PERFORMANCE IN PUBLIC EXAMS 19. KINDLY SUGGEST POSSIBLE WAYS OF SOLVING THE PROBLEM OF TEACHER ATTRITION (TEACHERS LEAVING) IN YOUR SCHOOL. A............................................................................................................................. ............................................................................................................................ B............................................................................................................................. ............................................................................................................................. C......................................................................................................................................................................................................................................................................D.....................................................................................................................................................................................................................................................................
Estimated Impact0
Dataseries X:
7	7	7	5
5	5	5	5
6	5	4	4
4	5	5	5
5	5	5	5
6	6	6	7
7	4	7	7
6	5	5	6
6	7	7	6
6	5	5	6
5	2	4	6
5	5	6	6
4	5	4	6
6	6	6	6
6	6	7	7
5	5	6	5
3	3	4	3
7	6	6	7
3	5	6	6
5	5	6	6
3	3	4	4
5	5	5	6
2	1	2	2
6	5	6	6
3	4	5	5
6	6	6	7
6	6	6	7
5	4	5	5
5	4	5	6
7	5	5	6
6	4	6	6
5	5	6	6
5	6	5	5
4	3	4	4
4	5	6	5
6	5	5	6
5	3	5	5
5	5	5	5
7	7	7	7
5	6	5	6
5	4	5	4
6	5	7	5
5	5	5	5
6	6	7	6
7	7	6	6
5	3	3	4
5	4	4	4
5	6	6	6
6	5	5	5
2	2	4	5
4	4	4	6
4	4	6	5
6	5	5	6
3	4	4	5
6	6	6	6
6	2	5	5
5	4	5	6
6	6	6	6
1	4	6	3
5	5	6	6
7	6	5	6
4	4	5	5
5	6	5	5
6	6	5	6
4	5	4	4
6	6	5	5
6	6	6	6
5	4	6	6
5	6	5	6
3	3	5	5
5	5	5	6
6	5	6	6
5	5	6	6
6	6	6	6
6	6	6	6
4	4	4	4
4	4	4	4
6	5	5	5
7	6	6	7
4	3	3	5
5	6	7	7
6	2	5	5
6	5	6	6
5	3	6	6
3	4	5	5
7	6	6	6
6	5	6	7
4	4	4	5
4	5	6	4
5	5	5	5
3	4	4	4
7	7	7	6
6	4	6	6
6	6	6	5
4	4	4	4
5	4	5	5
6	6	6	7
5	3	5	6
6	4	4	5
6	7	7	6
4	5	6	6
5	5	5	5
6	6	6	6
5	5	6	6
5	5	5	5
4	4	5	5
4	5	5	4
6	6	5	7
5	5	7	7
6	5	6	5
5	4	7	7
6	4	6	6
5	5	5	5
4	5	4	5
6	6	6	7
4	5	4	5
5	3	3	5
5	5	5	5
6	3	5	5
3	4	5	3
5	4	5	5
4	5	5	5
5	2	5	4
5	5	3	4
7	7	7	7
5	6	6	6
7	6	6	6
5	5	4	6
4	4	4	5
6	6	6	5
4	3	4	5
4	7	6	6
4	3	2	2
4	4	5	5
6	6	5	7
6	5	6	6
5	6	5	5
3	4	4	5
6	6	6	6
5	6	6	6
4	4	5	5
5	5	5	5
2	3	2	2
5	6	6	7
7	5	6	7
4	6	5	5
4	5	6	6
7	6	7	5
6	5	5	6
5	6	5	5
5	5	5	6
5	5	6	6
7	6	7	7
6	5	7	6
6	6	6	6
5	5	5	6
2	4	6	6
4	4	4	4
6	4	6	6
5	5	6	4
5	4	4	5
5	5	5	5




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center







Cronbach Alpha and Related Statistics
ItemsCronbach AlphaStd. AlphaG6(smc)Average R
All itmes0.84250.84590.81150.5785
Q2 excluded0.81360.81730.75540.5986
Q9 excluded0.81270.81740.75530.5988
Q16 excluded0.7880.79090.71790.5577
Q23 excluded0.78920.79160.71870.5587

\begin{tabular}{lllllllll}
\hline
Cronbach Alpha and Related Statistics \tabularnewline
Items & Cronbach Alpha & Std. Alpha & G6(smc) & Average R \tabularnewline
All itmes & 0.8425 & 0.8459 & 0.8115 & 0.5785 \tabularnewline
Q2 excluded & 0.8136 & 0.8173 & 0.7554 & 0.5986 \tabularnewline
Q9 excluded & 0.8127 & 0.8174 & 0.7553 & 0.5988 \tabularnewline
Q16 excluded & 0.788 & 0.7909 & 0.7179 & 0.5577 \tabularnewline
Q23 excluded & 0.7892 & 0.7916 & 0.7187 & 0.5587 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]0.8425[/C][C]0.8459[/C][C]0.8115[/C][C]0.5785[/C][/ROW]
[ROW][C]Q2 excluded[/C][C]0.8136[/C][C]0.8173[/C][C]0.7554[/C][C]0.5986[/C][/ROW]
[ROW][C]Q9 excluded[/C][C]0.8127[/C][C]0.8174[/C][C]0.7553[/C][C]0.5988[/C][/ROW]
[ROW][C]Q16 excluded[/C][C]0.788[/C][C]0.7909[/C][C]0.7179[/C][C]0.5577[/C][/ROW]
[ROW][C]Q23 excluded[/C][C]0.7892[/C][C]0.7916[/C][C]0.7187[/C][C]0.5587[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 itmes0.84250.84590.81150.5785
Q2 excluded0.81360.81730.75540.5986
Q9 excluded0.81270.81740.75530.5988
Q16 excluded0.7880.79090.71790.5577
Q23 excluded0.78920.79160.71870.5587



Parameters (Session):
par1 = TRUE ;
Parameters (R input):
par1 = TRUE ;
R code (references can be found in the software module):
par1 <- 'TRUE'
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')