Methodology of Computation of CHEDSIndicators
Aim: In
this document, we summarize the formula used to compute the values of the 62
indicators to enable institutions to recompute them from their data if they
wish.
1. Notations:
·
denotes the
i^{th} indicator for
·
The variables used for
calculations are denoted according to their category and their ordering within
the category:
Financevariables:
The budgeted amounts for the financial variables are denoted by:
and the actual/real amounts of
the previous academic year are denoted by:
Other Variables:
The
Enrolments, Graduates, Faculty, Institutional, Survey, and Publications
variables will be denoted by E, G, FM, INT, SUR and PUB respectively.
That is:
Where nf, ne, ng, nfm,
and nint denote the number of variables
in each category, the corresponding data field is shown in the updated version
of DataSpecification (www.caa.ae/cheds), and subscript t
stands for transpose.
Illustrative example:
nf is equal to 38 because we have 38 data elements in the
financial data. From Column E of the Excel sheet of Financial
information in the data specification, B_{1 }and B_{2} denote the
yearly total salary of FT and PT NonFaculty academic Staff and that of FT
and PT Administrative Staff, respectively. AC_{1} and AC_{2} denote
the last academic year’s Actual amounts for these 2 variables.
Area 1: Institutional Information (13
Indicators)
Indicator 1: Revenues
The returned value of the revenues
Indicator is of
the form:
where
is
the total of all revenues (B_{37}) . That is:
is
the percentage of the total budgeted amount for all tuition fees to the total
revenue ^{:}
is
the percentage of the budgeted amount, other than tuitions, to be generated by
the institution to the total revenue ie:
is
the percentage of budgeted amount of donations and all types of funds to the
total revenue ie:
is
the percentage of budgeted amount for other internal revenues ie:
is
the percentage of budgeted amount for other external revenues to total revenue ie:
Expenditures Indicators: I_{2},
I_{3 }and I_{4}
The three expenditures
indicators are: expenditures per student, expenditures per EFTSL, and cost per
credit hour. They are denoted by I_{2}, I_{3 }and I_{3
}respectively . Their computation is
derived from the three types of budgeted expenditures (Teaching and Research, Student
services, and Administrative). Each of these indicators is expressed as:
for i= 2,3, and 4 where
_{·
}eb_{11} is
the overall expenditure per student and eb_{12}, eb_{13},
and eb_{14} are_{ }the budgeted teaching and
research, services, and administrative expenditures per student respectively. _{}
_{·
}Eb_{21}
is the overall expenditure per EFTSL and eb_{22}, eb_{23},
and eb_{24} are_{ }the budgeted services, and
administrative expenditures per EFTSL respectively. _{}
_{·
}Eb_{31}
is the overall cost per credit hour and eb_{32}, eb_{33},
and eb_{34} are_{ }the budgeted teaching and
research, services, and administrative expenditures per credit hour respectively.
_{}
If EB_{1}_{,}
EB_{2}, EB_{3} and, EB_{4} denote the total
expenditure and its three components: Teaching and Research, Services, and Administrative
expenditures, respectively ie:
_{}
_{}
On the other hand, if N_{STD},
N_{EFTSL}, and N_{CRHS }denote the total number of students,
the total number of EFTSL, and the total number of registered credit hours by
all students, respectively, then the various eb_{ij}
‘s will be computed as follows:
where
:
·
, and
·
is
the number of credit hours registered by the i^{th}
student during the semester.
·
is the normal semester
credit hours load for i^{th} student during
the semester
Financial Aid Indicator: I_{5}
This indicator is measured by the percentage of all tuition
fees spent on scholarships. That is:
Scope indicators: I_{6,}
I_{7,} and I_{8}
These three indicators do not need any calculation.
Library indicators: I_{9,}
I_{10}, and I_{11}
Library holdings:
I_{9 }is of the form where: _{}
The number of databases is given by:
Library funding indicator B_{11} is of the form where I_{11,1 }is the library funding as percentage of total expenditure
and I_{11,2 }is the library funding as percentage of total
tuition fees.
Labor Market indicators: I_{12
}and I_{13}
Indicator I_{12} is the rate of employment within 12
months after graduation.
where
·
is the number of yes
answers to Q1 of Part B of Graduate Survey
·
is
the total number of respondents who replied by yes or no to the question Q1:
Graduates that reply by Not Applicable should not be counted as concerned by
the question.
NB It is reported as percentage by institution:
Indicator I_{13} is the percentage of satisfied
employers of the graduates
where
·
is the number of “4 or
5” answers to Q X of Employers survey
·
is
the total number of employers who replied to question X for the institution.
Area 2: Research and Innovation (8
Indicators)
Research Income Indicator: I_{14 }
I_{14 }is computed from financial data using the
following formula:
Funding sources Indicator I_{15}
Papers Indicator I_{16}
The value of I_{16 }is computed using the
formula:
Where
ISN_{i} denotes
number of papers published in Journals with ISNN by FT Faculty with academic rank:Assistant prof. and above augmented
by authored papers published by nonterminal degrees holders faculty.
ISN_{o} denotes
number of joint papers published in Journals with ISNN by FT Faculty with
academic rank:Assistant
prof. and above augmented by number of papers published by nonterminal degrees
holders faculty where the coauthor(s) is from outside the institution
NISN_{i} denotes
number of papers published in Journals without ISNN by FT Faculty with academic
rank:Assistant prof. and
above augmented by authored papers published by nonterminal degrees holders faculty
NISN_{o}_{ }denotes
number of joint papers published in Journals without ISNN by FT Faculty with
academic rank:Assistant
prof. and above augmented by authored papers published by nonterminal degrees
holders faculty where the coauthor(s) is from outside the institution
CONFN_{i} denotes
number of papers published in proceedings of conferences by FT Faculty with
academic rank:Assistant
prof. and above augmented by authored papers published by nonterminal degrees
holders faculty
CONFN_{o} denotes
number of joint papers published in proceedings of conferences by FT Faculty with
academic rank:Assistant
prof. and above augmented by authored papers published by nonterminal degrees
holders faculty where the coauthor(s) is from outside the institution
n_{phd}
is the total number of FT Faculty holders of a terminal degree and having RANK
OF Assistant prof. and above
n_{o}_{ }is
the_{ }number of FT faculty not holding a terminal degree
who had published any type of paper which had not been counted for one
of terminal holders
Books Indicator I_{17}
I_{17 }is computed using the following formulae:
Where
·
NB_{i}_{
}is the number of books published by one or several FT Faculty at the
institution
·
NB_{j}
is the number of books published with an external coauthor
·
n_{phd}
is the number of Faculty with academic rank assistant professor and above
·
n_{o} is the number
of Faculty of rank below Assistant Professorship who has published one book or
more counted in the numerator of the formula
Patents Indicator I_{18}
I_{18 }is computed using the following formulae:
Where
·
NP_{i}_{
}is the number of patents registered by one or several FT Faculty at the
institution
·
NP_{j}
is the number of patents registered with one or more than one external
coauthor
·
n_{phd}
is the number of Faculty with academic rank assistant professor and above
·
n_{o} is the number
of Faculty of rank below Assistant Professorship who has registered a patent counted
in the numerator of the formula
Citations Indicator I_{19}
I_{19 }to be calculated by outside
entity in the future.
Awards Indicator I_{20}
Research (PhD) students Indicator I_{21}
To be counted from enrolments data
where
Area 3: Academic Programs (21
Indicators)
Student satisfaction Indicator I_{22}
I_{22} is a multivalued indicator of the form:
where sp_{i} for
i=1,..7 are the satisfaction rates for the 7 student
questions as reported by the institution ie:
Faculty are
helpful:
Satisfaction with teaching
methods:
Satisfaction with teaching facilities:
Satisfaction with library
services:
Satisfaction with student
services:
Satisfaction with classroom
facilities:
Recommendation rate of the
institution to friends:
Alumni satisfaction Indicator I_{23}
I_{23 }is a multivalued indicator of the form:
where gp_{i} for
i=1,..8 are the satisfaction rates for the 8 graduate
questions as reported by the institution ie:
Graduates competence:
Selection the institution for
Graduate studies:
Element of success:
Satisfaction with teaching
facilities:
Employment before graduation*:
Employment within 12 months after
graduation:
Admission to Graduate program:
Satisfaction with score in
Professional exams:
Students
mobility Indicator I_{24}
I_{24} is computed for Fall and Spring
semesters using the following formulae:
where
The final value of this indicator
is the sum of the Fall value and the Spring value
Students Mobility from Overseas Institution Indicator
I_{25}
I_{25} is computed for Fall and Spring
semesters using the following formulae:
where
The final value of this indicator
is the sum of the Fall and the Spring semester values
Transfer Students Indicator I_{26}
I_{26 }is computed for Fall and Spring
semesters using the following formulae:
where
High School Score Indicator I_{27}
I_{27} indicator is to be computed for each area of
specialization using:
where
Hs_{1} is a 6 –value array: (min score, max score, 1^{st}
quartile, mean, median, 3^{rd} quartile) for scores obtained by holders
of UAE And GCC National high school certificates
Hs_{2} is a 6 –value array: (min score, max score, 1^{st}
quartile, mean, median, 3^{rd} quartile) for scores obtained by holders
of US high school certificates
Hs_{3} is a 6 –value array: (min score, max score, 1^{st}
quartile, mean, median, 3^{rd} quartile) for scores obtained by holders
of British high school certificates after conversion
Hs_{4} is a 6 –value array: (min score, max score, 1^{st}
quartile, mean, median, 3^{rd} quartile) for scores obtained by holders
of other high school certificates after conversion
Hs_{5} is a 6 –value array: (min score, max score, 1^{st}
quartile, mean, median, 3^{rd} quartile) for scores on a scale of 4.0
for admitted students to Master programs.
CEPA score Indicator I_{28}
I_{28} indicator is a matrix indicator defined by:
where s_{1
}is a 6 –value array: (min score, max score, 1^{st} quartile, mean,
median, 3^{rd} quartile) for scores obtained in CEPA/Math
where s_{2
}is a 6 –value array: (min score, max score, 1^{st} quartile, mean,
median, 3^{rd} quartile) for scores obtained in CEPA/English
Ratio of Enrolled Students to Admitted
/ Applicants Indicator I_{29}
The indicator I_{29} will be computed as follows:
_{}
and
_{}
Where n_{ad}, n_{enr},
and n_{ap} are the number of admitted (offered a seat) applicants,
number of enrolled new students, and total number of applicants, respectively.
Number of Internships Indicator I_{30}
Number of internships (by industry sector, by
gender)
This indicator is derived from the number of
internships per sector and per gender for the year ?
Where is the number of
internships conducted in the Fall semester in sectors j=1,….m
and i=1 stands for male counts and i=2 stands for female counts.
NB: the m^{th}
sector will stand for “other sectors”
‘s
will be determined from variable of enrolments data for
Fall Data . More precisely:
where
Thus,
where , , and are the results for
Fall, Spring and Summer semesters respectively.
Persistence rate I_{31}
Persistence rate I_{31}
is defined as the percentage of students still enrolled in comparison to a base
year which is commonly taken as the semester of first enrolment. I_{31}
is to be presented for each institution as follows:
where
is
the number of students that joined a 1 year program in semester 20081 (Fall
2008)
how
many of students of 20081
cohort were present /studying in 20082 etc..
is
the persistence rate for that cohort and it is defined by
The
same rule will be applied for the computation of the persistence rates for each
type of programs and for each semester of enrolments
Access
Rate Indicator I_{32}
The access rate is defined as the relative frequency of the intake
in 20111 and 20112 in each broad specialization.
Thus,
_{}
where
NSTDN
is the total number of new students in semesters 20111 and 20112, i.e:
;
are
the number of new students in specialization i
in Fall and Spring semesters 201112 respectively,
This
rate will be computed for undergraduate and MSc programs and PhD programs
separately suing the above approach
The
data variables to be used are: E_{14,} or E_{15 }and E_{16}
Progression rate I_{33}
Where
is the number of
students reenrolled in Spring Semester with CGPA 2.0 or more
NSTD_{F}_{
}and is computed from E_{1}
of Fall data and Spring Data.
We should
subtract from those whose
CGPA>2.0 and did not increase their credit hours and CGPA constant to drop
out withdrawn students with high CGPA
Foundation
problem to be detected from registered credit hours in Fall
semesters
Passed
foundation if in Spring they register full load
The
data variable to be used is: E_{28}
Success rate Indicator I_{34}
Success
rate is the EFTSL of units passed as a percentage of all EFTSL of units
attempted. Attempted EFTSL comprises units passed, failed and withdrawn. Thus,
this will be determined from Fall data 20111 and Spring20112
where (of Spring Data) are
the number of credit hours passed in the previous semester (Fall 2011), number
of credit hours registered at the beginning of the previous semester, and
program load of k^{th} student respectively.
Graduation Indicator I_{35}
Indicator I_{35 }is_{ }the_{
}number of graduates of degree and certificate per program and type of
degree
Where
are number of Fall and
Spring enrolments in the different areas (area 1, area2, etc….) of
specialization (10), and are the number of
graduates in Fall and spring semesters in each area. This also includes summer
data.
Graduation Indicator I_{36}
To
be derived from Indicator by expressing it as
percentages.
Achievement/grades Indicator I_{37}
This
indicator reflects the distribution of the CGPA of students per specialization and
level
where is the number of
students enrolled in specialization I whose CGPA is in j^{th} category, and n_{i}
is the number of students enrolled in programs of the area I.
The
data variable to be used is: E_{28}
Performance in professional
association exams Indicator I_{38}
Completion rate
Indicator I_{39}
Computed as percentage of graduates within 1,5 years since enrolments in the institution.
program

1 year UG program

2 year UG programs

3 year UG programs

4 year Ug program

5 year
UG program

1 year PG program

2 year PG program

3 year PG program

2006

Ng/new








2007









2008









2009









2010









Critical Thinking Indicator
I_{40}
Not currently calculated.
Graduates Scholarship I_{41}
where
is
the number of last year graduates receiving a scholarship from the institution for
graduate studies (MSc or PhD) at the institution
is
the number of last year graduates receiving a scholarship from external bodies for
graduate studies (MSc or PhD) at the institution
is
the number of last year graduates receiving a scholarship from the institution
or from an external body for graduate studies (MSc or PhD) in another
institution
is
the number of graduates of the previous academic year (201011)
are
to be identified from E_{14, }E_{18}, E_{39}, and E_{40}
and list of last year graduates
Engagement in GR Studies I_{42}
SUR_{10}
Area 4: Human Capital (13
Indicators)
Teaching load Indicator I_{43}
This indicator will be presented in the following form
where
The first row is for Professors, the second is for Associate
professors, the third one is for Assistant professor, the 4^{th} one if
for Lecturers/instructors, and the 5^{th} one is for Adjunct faculty
independently of their academic rank.
The first column gives the average number of credit hours
taught in fall Semester, the 2^{nd} one gives the average number of
credits in Spring Semester, the 3^{rd} column gives the average number
of contact hours in Fall, the 4^{th} column gives the average number of
contact hrs in Spring semester, column 5 gives the
average number of different courses taught per semester, column 6 gives the
average number of students taught per semester, and column 7 gives the
college/school
Research load Indicator I_{44}
I_{44} is the
release time from the normal teaching load.
where
r_{1}_{ }is the
average release time for research given to professors, r_{2 }is that
given to Associate Professors, r_{3 }to Assistant professors, and r_{4}
to lecturers and instructors if applicable and per college.
It is the average of FM_{4 }once unstacked for each
rank and college.
Faculty Salary Indicator I_{45}
and
I_{45,a
}and I_{45,b }will be computed for each rank and for each college
where a stands for the salary, and b stands for benefits.

is
the average monthly salary, without benefits, of a professor in College 1, is the monthly salary
of a professor in college 2 etc..

is
the average monthly salary, without benefits, of an Associate professor in
College 1, is the monthly salary
of an associate professor in college 2 etc..

is
the average monthly salary, without benefits, of an Assistant professor in
College 1, is the monthly salary
of an associate professor in college 2 etc..

is
the average monthly salary, without benefits, of a lecturer/instructor in
College 1, is the monthly salary
of a lecturer/instructor in college 2 etc..

is
the average semester dues of an Adjunct faculty per credit hour in College 1, is the average
semester dues of an Adjunct faculty per credit hour in College 2, etc..
Data used: FS_{18}, FS_{20},
FS_{22}, and FL_{49}
The same approach is done for the
benefits I_{45,b} excluding adjunct faculty.
Faculty Satisfaction Indicator I_{46}
Data variables used: SUR_{3},
SUR_{4, }SUR_{5, }SUR_{6, }SUR_{7,
}SUR_{8}
Staff Satisfaction Indicator I_{47}
Data variables used: SUR_{17},
SUR_{18, }SUR_{19, }SUR_{20, }SUR_{21}
Faculty retention Indicator I_{48}
I_{48} is the average of
the number of years of experience at the institution, per college and per rank.
It is derived from variable FS_{12}
(hiring date)
Faculty rank Indicator I_{49}
I_{49} is the
relative frequency distribution of FT Faculty by academic ranks, and their total
number.
Where
·
rf_{11}_{
}is the percentage of professors in college 1, rf_{12 }is
their percentage in college 2 etc..
·
rf_{21}_{
}is the percentage of associate professors in college 1, rf_{12 }is
their percentage in college 2 etc..
·
rf_{51}_{
}is the number of FT faculty in college 1, rf_{52 }is their number
in college 2 etc..
Data to be used: FS_{22},
FL_{5}, and FL_{7 }
Number of national awards Indicator
I_{50}
I_{49} = INST_{42}
Faculty highest degree
Indicator I_{51}
I_{51} gives the
relative frequency distribution of FT Faculty over their highest degree per
College, and for the institution.
Where
·
rf_{i1}_{
}for i=1,..c is the percentage of PhD/Doctorate
holders in college i,
·
rf_{j2}_{
}for i=1,..c is the percentage of other than PhD
terminal degree holders in college i,
·
rf_{j3}
for i=1,..c is the percentage of MSc holders in
college i,
·
rf_{j4}
for i=1,..c is the percentage of BSc holders in
college i
·
rf_{j5}
for i=1,..c is the percentage of holders of degrees other
than PhD/Doctorate, MSc, and BSc in college i
·
rf_{j6}
for i=1,..c is the total number of FT Faculty in
college i
·
rf_{c+}_{1,j
}is the percentage for each type of degree for the institution (overall).
Data used: FS_{14,} and FM_{15}
Faculty broad Nationality Indicator I_{52}
I_{52 }gives the relative frequency
distribution of FT Faculty over their broad Nationality per College, and for
the institution.
·
rf_{i1}_{
}for i=1,..c is the percentage of UAE National
Faculty members in college i,
·
rf_{j2}_{
}for i=1,..c is the percentage of Faculty from GCC
(other than UAE) in college i,
·
rf_{j3}
for i=1,..c is the percentage of Faculty from Arab
countries other than GCC countries in college i,
·
rf_{j4}
for i=1,..c is the percentage of Faculty from other
countries in college i,
·
rf_{c+}_{1,j
}is the percentage for each type of broad nationality for the institution
(overall).
Data used: FS_{6,} and FL_{5}
Faculty Highest Degree broad region Indicator I_{53}
_{ }I_{53
}gives the relative frequency distribution of the region from which FT
Faculty obtained his/her highest degree per College, and for the institution.
·
rf_{i1}_{
}for i=1,..c is the percentage of FT Faculty
members, in college i, who obtained
their highest degree from UAE,
·
rf_{i2}_{
}for i=1,..c is the percentage of FT Faculty, in
college i, who obtained their highest
degree from GCC (other than UAE,
·
rf_{i3}
for i=1,..c is the percentage of FT Faculty, in college
i, who obtained their highest degree from
Arab countries other than GCC countries,
·
rf_{i4}
for i=1,..c is the percentage of FT Faculty, in
college i, who obtained their highest
degree from European country
·
rf_{i5}
for i=1,..c is the percentage of FT Faculty, in
college i, who obtained their highest
degree from North or South America
·
rf_{i6}_{
}for i=1,..c is the percentage of FT Faculty, in
college i, who obtained their highest
degree from an Asian country
·
rf_{c+}_{1,j
}is the percentage for each type of broad nationality for the institution
(overall).
Data to be used: FL_{5,} and FS_{15}
Percentage of Female Faculty Indicator I_{54}
I_{54 }gives the relative frequency
distribution of FT Female Faculty per College, and for the institution.
·
rf_{i1}_{
}for i=1,..c is the percentage of Female FT Faculty
members, in college i, holders of PhD
degree
·
rf_{i2}_{
}for i=1,..c is the percentage of Female FT Faculty
members, in college i, holders of an
MSc degree
·
rf_{i3}
for i=1,..c is the percentage of Female FT Faculty members,
in college i, holders of BSc degree
·
rf_{i4}
for i=1,..c is the percentage of Female FT Faculty
members, in college i, holders of
another degree
·
rf_{i5}
for i=1,..c the percentage of Female FT Faculty
members in college i
·
rf_{c+}_{1,j
}is the percentage of Female FT Faculty members per highest degree for the
institution (overall).
Data used: FS_{5}, FL_{5,} and FS_{14}
Age of Faculty Indicator I_{55}
I_{55 }gives the relative frequency
distribution of the average age of FT Faculty per College, and for the
institution.
·
rf_{i1}_{
}for i=1,..c is the average age of FT Faculty
members, in college i, with academic
rank Professor
·
rf_{i2}_{
}for i=1,..c is the average age of FT Faculty
members, in college i, with academic
rank Associate Professor
·
rf_{i3}
for i=1,..c is the average age of FT Faculty members,
in college i, with academic rank Assistant
Professor
·
rf_{i4}
for i=1,..c is the average age of FT Faculty members,
in college i, with academic rank Lecturer/instructor
and other rank
·
rf_{i5}
for i=1,..c the overall average age of FT Faculty
members in college i
·
rf_{c+}_{1,j
}is the average age of FT Faculty members per rank for the institution
(overall).
Data used: FS_{7}, FL_{5,} and FS_{22}
Area 5: Learning Environment
(7 Indicators)
_{ }
Student demographics Indicator I_{56}
Indicator I_{56} is to be presented in the form of
few tables or in a single very large table.
Data to be used: E_{2}, E_{26}, E_{14},
E_{8}, E_{7}, E_{11}, E_{22}, E_{20}, E_{19},
E_{18}, E_{41}, E_{42}
Student –Faculty ratio Indicator I_{57}
where
_{·
} _{}
·
is
the number of credit hours registered by the i^{th}
student during the semester.
·
is the normal semester
credit hours load for i^{th} student during
the semester
·
_{ }is the number of
Equivalent FT Faculty defined by:
·
NFT is the number of
FT Faculty
·
NPT_{A }is
the adjusted number of PT Faculty defined by
Student –Staff ratio Indicator I_{58}
is
the StudentStaff ratio computed by taking into account all employees including
elementary staff.
is
the StudentStaff ratio computed by excluding elementary staff.
and
Where
_{·
} _{}
·
is
the number of credit hours registered by the i^{th}
student during the semester.
·
is the normal semester
credit hours load for i^{th} student
·
_{ }is the number of
concerned FT Staff
FTPT Faculty ratio Indicator I_{60}
is
the FTPT ratio computed using counts.
is
the FTPT ratio computed using Equivalent PT Faculty ie:
1 EPT corresponds to 6 hrs teaching.
, and where
Where
NFT is the number of full time faculty
NPT is the number of PT Faculty
Data used: FL_{7}, FL_{14}
Lectures Class Size Indicator I_{61}
I_{61 }is to give the number of lecture classes, and
their distribution over the bands given in the template
where n is the total number
of classes offered during the semester, , and
is
the number of classes where the number of registered students is less than 10
is
the number of classes where the number of registered students is between 10 and
29
is
the number of classes where the number of registered students is between 10*i and 10*(i+1)1 for i=3,4,5
is the number of classes where the
number of registered students is 60 or more
Data used: INT_{5}INT_{10}
Lab/Studios
Class Size Indicator I_{62}
I_{62 }is to give the number of Laboratory or Studio
classes, and their distribution over the bands given in the template
where n is the total number
of Laboratory or Studio classes offered during the semester, , and
is
the number of Laboratory or Studio classes where the number of registered
students is less than 10
is
the number of Laboratory or Studio classes where the number of registered
students is between 10 and 19
is
the number of Laboratory or Studio classes where the number of registered
students is between 20 and 29
is the number of Laboratory or
Studio classes where the number of registered students is 30 or more
Data to be used: INT_{1}INT_{4}
NB
The Financial Data to be used are budgeted values. Actual
values will be reported from the institutions in the next run.