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The application of the Normative Funding Formula (NFF) on SUCs MOOE in the 2015 GAA 20 AUG 2015 SUCS NFF 2015 1 PIDS Research Project Phase 2 Honesto G. Nuqui 20 AUG 2015

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Page 1: The application of the Normative Funding Formula (NFF) on SUCs MOOE in the 2015 GAA 20 AUG 2015SUCS NFF 20151 PIDS Research Project Phase 2 Honesto G

SUCS NFF 2015 1

The application of the Normative Funding

Formula (NFF) on SUCs MOOE in the 2015 GAA

20 AUG 2015

PIDS Research Project Phase 2 Honesto G. Nuqui

20 AUG 2015

Page 2: The application of the Normative Funding Formula (NFF) on SUCs MOOE in the 2015 GAA 20 AUG 2015SUCS NFF 20151 PIDS Research Project Phase 2 Honesto G

SUCS NFF 2015 2

The PIDS research project:

To analyze, review, and document the implementation of the Normative Funding Formula (NFF) for SUCS MOOE in:

2014 GAA and 2015 GAA

Recommendations for 2016 GAA

20 AUG 2015

Page 3: The application of the Normative Funding Formula (NFF) on SUCs MOOE in the 2015 GAA 20 AUG 2015SUCS NFF 20151 PIDS Research Project Phase 2 Honesto G

SUCS NFF 2015 3

Legal basis of Normative Funding Formula ( NFF) in Joint DBM & CHED

Circular No. 2, Aug 2004

• To rationalize SUC course offerings in the light of national priorities.

• To reward or encourage quality teaching, research and extension services.

• To encourage SUCs to improve cost recovery measures, practice fiscal prudence and maximize resources.

20 AUG 2015

Page 4: The application of the Normative Funding Formula (NFF) on SUCs MOOE in the 2015 GAA 20 AUG 2015SUCS NFF 20151 PIDS Research Project Phase 2 Honesto G

SUCS NFF 2015 4

The Normative Funding Formula (NFF) consists of 2 sets of files:

1. The “BACK FILES” tackle the theoretical question:

Given a set of education delivery modes and service standards, the back files estimate the normative cost (in PS and MOOE) per student by discipline (23) and by level (9) of education.

2. The ‘FRONT FILES” tackle a very practical allocation problem: Given the 2015 GAA national MOOE ceiling of P6.77B for instruction, research and extension (including hospital services) in the SUCs, the front files allocate the amount among 113 SUCs.

20 AUG 2015

Page 5: The application of the Normative Funding Formula (NFF) on SUCs MOOE in the 2015 GAA 20 AUG 2015SUCS NFF 20151 PIDS Research Project Phase 2 Honesto G

SUCS NFF 2015 5

NF MOOE FORMULA for 2015

20 AUG 2015

NORMS Education technology, salary scale, etc

GRADUATES DATA

ENROLMT DATA

“NF BACK FILES”NORMATIVE PS & MOOE COST PER STUDENT

“NF FRONT FILES”AND SO, HOW MUCH WOULD EACH SUC GET– FOR PS AND MOOE?

DBM ceiling

Other CHED guidelines

QUALITY INDICATORS

PRIORITY INDICES

RESEARCH INPUTS & OUTPUTS

FACULTY WORK LOAD

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SUCS NFF 2015 7

The “Enrolment Matrix”• The 113 SUCs offer a total of about 15,000 programs in

about 600 campuses but for the purpose of the NFF, the enrolment in an SUC is summarized in a 23x9 enrolment matrix.

• This allows differential treatment for 23 fields of study and 9 levels of education. Just added in 2014 were the Math, Science and English (MSE) Majors in Education as the 22nd field and Accountancy as the 23rd field.

20 AUG 2015

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SUCS NFF 2015 8

Levels of education (9) in SUCs:

1 PRE-SCHOOL

2 ELEM

3 SECONDARY

4 TECH VOC

5 PRE-BACC

6 BACC

7 POST-BACC

8 MASTERS

9 DOCTORAL

20 AUG 2015

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SUCS NFF 2015 920 AUG 2015

BASIC ED; 35.51; 2%TECH/ VOC ; 31.577; 2%

PRE-BACC; 138.625; 9%

BACC; 1217.56; 81%

POST-BACC; 6.648; 0%MASTERS; 59.75; 4%PHD; 12.396; 1%

2014-15 ENROLMENT, by level

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SUCS NFF 2015 10

DMMMSU 2012-13  PRE- SCH

ELEM HS TV PRE BACC BACC POST

BACC MS PHD TOTAL

1 AGRICULTURE, FORESTRY, FISHERIES

        167 1,092   6   1,265

2 ARCHITECT AND TOWN PLANNING

                   

3 BUSINESS ADMIN AND RELATED

          1,631 44 90 51

1,816

4 EDUCATION SCIENCE AND TEACHER TRAINING **

          3,289 139 352 129

3,909

5 ENGINEERING AND TECH           3,453   24   3,477

6 FINE AND APPLIED ARTS                    

7 GENERAL 162

527

456

    203       1,348

8 HOME ECONOMICS                    9 HUMANITIES                    10 LAW AND JURISPRUDENCE           114       114

11 MASS COMMUNICATION AND DOCUMENTATION

                   

12 MATHEMATICS AND COMP SCI

          1,641       1,641

13 MEDICAL AND ALLIED         66 188       254 14 NATURAL SCIENCE           163   7   170 16 SERVICE TRADES                    

17 SOCIAL AND BEHAVIORAL SCI           373       373

18 TRADE, CRAFT AND INDUSTRIAL

          86       86

19 IT-RELATED DISCIPLINES           820   76   896 20 MARITIME EDUCATION                    

21 OTHER DISCIPLINES           47 6 9   62

22 MATH, ENGLISH, SCIENCE MAJORS IN TEACHER ED

          54       54

23 ACCOUNTANCY                    

24 TOTAL 162 527 456   233 13,154 189 564 180

15,465 20 AUG 2015

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SUCS NFF 2015 11

Some outputs from the old back filesstill used for GAA 2015

• For each program level(9) and major discipline (23), the back files estimate the normative cost (in PS and MOOE) per FTE student per year.

20 AUG 2015

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SUCS NFF 2015 12

NORMATIVE COST (PS+MOOE) PER STUDENT BACC  MASTERS  DOCTORAL 

AGRICULTURE, FORESTRY, FISHERIES 65,704 105,311 111,809

ARCHITECTURE AND TOWN PLANNING 73,496 137,900 137,900

BUSINESS ADMINISTRATION AND RELATED 58,126 150,306 184,997

EDUCATION SCIENCE AND TEACHER TRAINING ** 58,481 104,954 116,039

ENGINEERING AND TECH 79,220 161,800 196,490 FINE AND APPLIED ARTS 78,701 144,783 155,441

GENERAL 61,353 131,716 - HOME ECONOMICS 74,236 128,722 150,492

HUMANITIES 72,890 128,722 150,492 LAW AND JURISPRUDENCE 66,146 86,634 112,627

MASS COMM AND DOCUMENTATION 59,775 124,330 137,733 MATHEMATICS AND COMPUTER SCIENCE 73,101 139,476 153,860

MEDICAL AND ALLIED 85,871 113,017 125,286

NATURAL SCIENCE 88,789 143,541 159,998 SERVICE TRADES 54,704 119,542 -

SOCIAL AND BEHAVIORAL SCIENCES 72,936 96,732 110,445

TRADE, CRAFT AND INDUSTRIAL 54,419 - - IT-RELATED DISCIPLINES 78,629 116,973 141,795

MARITIME EDUCATION 56,114 69,993 - OTHER DISCIPLINES 59,420 105,374 118,238

MATH, ENGLISH, SCIENCE MAJORS 58,481 104,954 116,039 ACCOUNTANCY 58,126 150,306 184,997

20 AUG 2015

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SUCS NFF 2015 1320 AUG 2015

NATSCI

MED AL...

ENGG

FA IT HE ARCHI

MATH/CS

SOC

HUM

LAW

AGRIC

GEN

MASS

ETC

EDUC

MSE

BA ACCTY

MAR

SERV

TRADE

REL

-

0.20

0.40

0.60

0.80

1.00

1.20

1.40

1.60 1.52

1.47

1.35 1.35 1.34

1.27 1.26 1.25 1.25 1.25

1.13 1.12

1.05 1.02 1.02 1.00 1.00 0.99 0.99 0.96 0.94 0.93

NORMATIVE COST INDEX (PS+MOOE) OF BACC PROGRAMSSORTED FROM MOST EXPENSIVE TO LEAST

1.00 = P 58,500/ student

Page 13: The application of the Normative Funding Formula (NFF) on SUCs MOOE in the 2015 GAA 20 AUG 2015SUCS NFF 20151 PIDS Research Project Phase 2 Honesto G

SUCS NFF 2015 1420 AUG 2015

-

20,000

40,000

60,000

80,000

100,000

120,000

140,000

160,000

180,000

105,300

137,900

117,000

105,000

161,800

144,800

131,700 128,700 128,700

86,600

124,300

139,500

113,000

143,500

-

119,500

96,700

-

117,000

70,000

105,400 105,000

128,700

NORMATIVE COST (PS+MOOE) PER MASTERS STUDENT

Page 14: The application of the Normative Funding Formula (NFF) on SUCs MOOE in the 2015 GAA 20 AUG 2015SUCS NFF 20151 PIDS Research Project Phase 2 Honesto G

SUCS NFF 2015 1520 AUG 2015

-

50,000

100,000

150,000

200,000

250,000

111,800

137,900 146,200

116,000

196,500

155,400

-

150,500 150,500

112,600

137,700

153,900

128,700

160,000

- -

110,400

-

141,800

-

118,200 123,500

152,100

NORMATIVE COST (PS+MOOE) PER PHD STUDENT

Page 15: The application of the Normative Funding Formula (NFF) on SUCs MOOE in the 2015 GAA 20 AUG 2015SUCS NFF 20151 PIDS Research Project Phase 2 Honesto G

SUCS NFF 2015 16

Severe time constraints for revising the NFF for GAA 2015:

• No time to revise the back files . Thus, the same normative costs used for GAA 2013 and 2014 were also used for 2015.

• No time to wait for Form E1 data, i.e. SUC faculty workload at the elementary, secondary and tech-voc levels.

• No time to verify/ analyze reported SUC faculty workloads in Form E2, i.e. duties in higher education.

20 AUG 2015

Page 16: The application of the Normative Funding Formula (NFF) on SUCs MOOE in the 2015 GAA 20 AUG 2015SUCS NFF 20151 PIDS Research Project Phase 2 Honesto G

Other constraints on 2015 NFF:

• Some missing or apparently outlier data, e.g. enrolment and graduates by field and by program level. No time to go back to the SUCs to verify or rectify the data. Computer-aided “data normalization” was applied.

• Not enough data and guidelines to implement rewards for SUCs “sticking to their mandates” partly because most mandates sound too all-encompassing.

• No time to review other measures of outputs and quality of “extension services”.

• Not enough data and time to simulate NFF on personal services.

20 AUG 2015 SUCS NFF 2015 17

Page 17: The application of the Normative Funding Formula (NFF) on SUCs MOOE in the 2015 GAA 20 AUG 2015SUCS NFF 20151 PIDS Research Project Phase 2 Honesto G

SUCS NFF 2015 18

Some changes implemented in 2014 NFFand continued into 2015

1. Continued from GAA 2014, “Accountancy” is 22nd field, cleaved from “Business Admin and Related”. Its priority index is increased to 1.00 while BA and Related remained at 0.60.

2. Continued from GAA 2014 as 23rd field, “Math, Science and English (MSE) majors” in Teacher Education is given priority index 1.25 while the rest of the field remained at priority 1.0

3. Computer Science” is separated from “IT and related” and reclassified into “Math & Comp Sci” – with priority index 1.25 while IT and Related remained at 1.0

4. Reward the 3 normal SUCs (PNU, CNU, LNU) for sticking to teacher education – by assigning priority index 1.25.

5. Split research component into two parts to allow “level playing field”: Research-A among SUCs in levels 1,2 and Research-B among SUCs in levels 3,4.

6. Using more interactive front files, CEB reviews the allocation of points assigned to factors in each NFF component.

20 AUG 2015

Page 18: The application of the Normative Funding Formula (NFF) on SUCs MOOE in the 2015 GAA 20 AUG 2015SUCS NFF 20151 PIDS Research Project Phase 2 Honesto G

SUCS NFF 2015 19

 PRIORITY INDICES FOR

GAA 2015BACCALAUREATE

 MASTERS  DOCTORAL 

1 AGRIC, FORESTRY, FISHERIES 1.25 1.50 2.00

2 ARCHITECT &TOWN PLANNING 1.00 1.25 1.50

3 BUSINESS ADMIN AND RELATED 0.60 1.00 1.00

4EDUCATION SCIENCE AND

TEACHER TRAINING ** 1.00 1.25 1.50

5 ENGINEERING AND TECH 1.25 1.50 2.00 6 FINE AND APPLIED ARTS 1.00 1.25 1.50 7 GENERAL 1.00 1.00 1.00 8 HOME ECONOMICS 1.00 1.25 1.50 9 HUMANITIES 1.00 1.25 1.50

10 LAW AND JURISPRUDENCE 0.60 1.00 1.00 11 MASS COMM & DOCUMENTATION 1.00 1.25 1.50

12 MATHS AND COMPUTER SCIENCE 1.25 1.50 2.00 13 MEDICAL AND ALLIED 0.75 1.00 1.25 14 NATURAL SCIENCE 1.25 1.50 2.00 16 SERVICE TRADES 1.00 1.25 1.50 17 SOCIAL AND BEHAVIORAL SCI 1.00 1.25 1.50 18 TRADE, CRAFT AND INDUSTRIAL 1.00 1.25 1.50 19 IT-RELATED DISCIPLINES 1.00 1.50 2.00 20 MARITIME EDUCATION 1.00 1.25 1.50 21 OTHER DISCIPLINES 1.00 1.25 1.50 22 MATH, ENGLISH, SCI MAJORS 1.25 1.25 1.50 23 ACCOUNTANCY 1.00 1.25 1.50

20 AUG 2015

Page 19: The application of the Normative Funding Formula (NFF) on SUCs MOOE in the 2015 GAA 20 AUG 2015SUCS NFF 20151 PIDS Research Project Phase 2 Honesto G

SUCS NFF 2015 2020 AUG 2015

AGRICENGG

MATH

NATSCI

M,ENG,SC

I

ARCHIEDUC FA GEN HE

HUMM

ASSSE

RVSO

C

TRADE ITM

AR

OTHERACCTY

MED AL..

. BALA

W REL0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.25 1.25 1.25 1.25 1.25

1 1 1 1 1 1 1 1 1 1 1 1 1 1

0.75

0.6 0.6

0

PRIORITY RATINGS (GAA 2015) OF BACCALAUREATE PROGRAMS

Page 20: The application of the Normative Funding Formula (NFF) on SUCs MOOE in the 2015 GAA 20 AUG 2015SUCS NFF 20151 PIDS Research Project Phase 2 Honesto G

SUCS NFF 2015 21

Note: When combined, the indices are multiplicative, not additive

BACC LEVEL COST INDEX PRIORITY INDEX

COMBINED INDEX

NAT SCI 1.518 1.250 1.90

ENGG

1.355 1.250

1.69

AGRIC 1.124

1.250

1.40

EDUC 1.000

1.000

1.00

MSE MAJORS 1.000

1.250

1.25

BA 0.994

0.600

0.60

20 AUG 2015

Page 21: The application of the Normative Funding Formula (NFF) on SUCs MOOE in the 2015 GAA 20 AUG 2015SUCS NFF 20151 PIDS Research Project Phase 2 Honesto G

SUCS NFF 2015 22

By discipline at baccalaureate level, combined cost & priority indices (for GAA 2015)

20 AUG 2015

NA

TS

CI

EN

GG

MA

TH

CS

/CS

AG

RIC

FA

IT HE

AR

CH

I

MS

E

SO

C

HU

M

ME

D A

LL

IED

GE

N

MA

SS

ET

C

ED

UC

AC

CT

Y

MA

R

SE

RV

TR

AD

E

LA

W

BA

0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

2 1.90

1.69

1.56

1.40 1.35 1.34

1.27 1.26 1.25 1.25 1.25

1.10 1.05 1.02 1.02 1.00 0.99 0.96 0.94 0.93

0.68 0.60

Page 22: The application of the Normative Funding Formula (NFF) on SUCs MOOE in the 2015 GAA 20 AUG 2015SUCS NFF 20151 PIDS Research Project Phase 2 Honesto G

SUCS NFF 2015 23

SUCs Baccalaureate Enrolment 2013-14 (1.14M)

20 AUG 2015

BA

EN

GG

ED

UC

IT AG

RIC

ET

C

M,E

NG

L,SC

I

GE

N

SO

C

TR

AD

E

ME

D A

LLIED

AC

CT

Y

NA

TS

CI

HU

M

MA

R

SE

RV

AR

CH

I

MA

TH

, CS

MA

SS

HE

FA

LAW

RE

L

-

50

100

150

200

250

300

264 252 245

139

92 78

62 60 43

26 25 24 22 20 18 15 14 13 13 6 5 5

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SUCS NFF 2015 24

Not subjected to the 2015 MOOE formula. Allocations by executive decision or by Congress.

1. WVSU hospital

2. UP-PGH

3. PMMA

4. Cotabato Foundation St College of S&T

5. U.P. System

6. Scholarship Fund (P2.5B)- * allocations by congress.

7. SUC gross income (about P17B)

20 AUG 2015

Page 24: The application of the Normative Funding Formula (NFF) on SUCs MOOE in the 2015 GAA 20 AUG 2015SUCS NFF 20151 PIDS Research Project Phase 2 Honesto G

SUCS NFF 2015 25

SUCS GAA MOOE CEILINGS (3 years)2014 2015 2016 2016 %

SHAREWVSU HOSPITAL 34 35 38 0.5%

UP-PGH 617 632 691 9.3%

PMMA 72 73 80 1.1%

CFSCST 15 16 17 0.2%

CVSC - - 6 0.1%

UPS (w/o PGH) 1,461 1,497 1,637 22.1%

SUBTOTAL 1 2,199 2,254 2,470 33.4%        

INSTITUTIONAL SUPPORT 1,873 2,258 2,465 33.3%

QUALITY INSTRUCN 1,124 1,355 1,479 20.0%

RESEARCH-1 187 226 247 3.3%

RESEARCH-2 375 452 493 6.7%

EXTN-1 187 226 82 1.1%

EXTN-2 - - 164 2.2%

SUBTOTAL 2 3,745 4,516 4,930 66.6%         

TOTAL SUCS GAA MOOE 5,944 6,770 7,400 100.0%20 AUG 2015

Page 25: The application of the Normative Funding Formula (NFF) on SUCs MOOE in the 2015 GAA 20 AUG 2015SUCS NFF 20151 PIDS Research Project Phase 2 Honesto G

SUCS NFF 2015 2620 AUG 2015

INST'L SUPPORT; 2257801.12499; 50%

QUALITY INSTRUCTION; 1354680.674994; 30%

RESEARCH-A; 225780.112499; 5%

RESEARCH-B; 451560.224998; 10%

EXTN; 225780.112499; 5%

HOW 2015 GAA SUCS MOOE IS APPORTIONED TO NFF COMPONENTS

Page 26: The application of the Normative Funding Formula (NFF) on SUCs MOOE in the 2015 GAA 20 AUG 2015SUCS NFF 20151 PIDS Research Project Phase 2 Honesto G

New for GAA 2014 -- and continued in 2015

Split the original research category into:• RESEARCH-A ( for SUCs in Levels 1-2)• RESEARCH-B (for SUCs in Levels 3-4)

20 AUG 2015 SUCS NFF 2015 27

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SUCS NFF 2015 28

COMPONENTS & AMOUNTS

subject to the NFF for 2015 GAA

CATEGORY

INSTITUTIONAL SUPPORT 50% 2,257,801

QUALITY INSTRUCTION 30% 1,354,681

RESEARCH-A (SUCs level 1-2)

5% 225,780

RESEARCH-B (SUCS level 3-4)

10% 451,560

EXTENSION SERVICES 5% 225,780

4,515,602 20 AUG 2015

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SUCS NFF 2015 29

BASES FOR COMPUTING INSTITUTIONAL SUPPORT….

Four sets of WEIGHTS used on enrolment:

1. Full-time equivalence (FTE) of enrolment, esp for graduate levels, e.g. 0.50 for masters and 0.33 for PhD.

2. Normative cost index per student.

3. Priority indices (as revised slightly for 2014 and 2015) on discipline-program level pairs.

4. Additional points for Teacher Education enrolment in PNU, CNU, and LNU.

20 AUG 2015

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SUCS NFF 2015 30

BASES FOR COMPUTING INSTITUTIONAL SUPPORT….

Three sets of WEIGHTS used on no. of graduates:

1. Normative cost index per student.

2. Priority indices (as revised slightly for 2014 and 2015) on discipline-program level pairs.

3. Additional points for Teacher Education programs in PNU, CNU, LNU.

20 AUG 2015

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SUCS NFF 2015 31

50% COMPONENT 1: INSTITUTIONAL SUPPORT

50% ENROLMENT  WEIGHTED FOR FULLTIME EQUIVALENCE

  WEIGHTED FOR COST

  WEIGHTED FOR PRIORITY

  TEACHER EDUC ENROLMENT IN PNU. CNU, LNU

   

50% GRADUATES  WEIGHTED FOR COST

  WEIGHTED FOR PRIORITY

  TEACHER EDUC GRADUATES FROM PNU. CNU, LNU

20 AUG 2015

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SUCS NFF 2015 32

30% COMPONENT 2: QUALITY INSTRUCTION

4.9%WEIGHTED FTE FACULTY WITH MASTERS DEGREES

10.0%WEIGHTED FTE FACULTY WITH DOCTORAL DEGREES

7.2% CHED CENTERS OF EXCELLENCE

4.3% CHED CENTERS OF DEVT

59.5%ALL-PRC FIRST-TAKE PASSING % (AVERAGE OVER 3 YEARS) BUT COUNTED ONLY IF ABOVE NATIONAL PASSING RATE

 WEIGHTED FOR HEADCOUNT OF PRC PASSERS (AMONG FIRST-TAKERS ONLY). MAR 14 2014

14.1%WEIGHTED BORDA-TYPE SCORE FOR ACCREDITED PROGRAMS

100.0% TOTAL FOR QUALITY INSTRUCTION20 AUG 2015

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SUCS NFF 2015 33

Example: How PRC pass rates are used in NFF

Benchmark44.0%

Total MOOE

100

TOTAL TAKERS

TOTAL PASSERS

SUC PASS RATE

ONLY IF ABOVE

BENCHMARK

PASS RATE WTD BY

PASSERS

PESOS SHARE OF

MOOE

           

SUC A 2,700 1,600 59.3% 59.3% 948.1 59,328

SUC B 1,500 600 40.0% 0.0% - -

SUC C 2,000 1,000 50.0% 50.0% 500.0 31,286

SUC D 600 300 50.0% 50.0% 150.0 9,386

TOTAL 6,800 3,500 51.5% 1,598.1 100

20 AUG 2015

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SUCS NFF 2015 34

Evolution of “PRC benchmark”

1. NFF 2005-2009: National LET pass rate

2. NFF 2010-2012: Combined LET and ENGG passing rate

3. NFF 2013-2014: National all-PRC passing rate

4. NFF 2015: “Relevant” PRC passing rates

20 AUG 2015

Page 34: The application of the Normative Funding Formula (NFF) on SUCs MOOE in the 2015 GAA 20 AUG 2015SUCS NFF 20151 PIDS Research Project Phase 2 Honesto G

SUCS NFF 2015 35

Top Ten SUCS w/ the most Instructional MOOE in GAA 2015

20 AUG 2015

ROW MARKER NAME OF SUC (113)

2015 MOOE FOR INSTRUCTION

(000 PHP)

ENROLMENT 2013-14

INSTRUCN MOOE/

STUDENT         

1 POLY UNIV OF THE PHIL 177,431 70,367 2,522

2 MSU - IIT 135,750 13,000 10,442

3 PHIL NORMAL UNIV 115,394 12,072 9,559

4 BICOL UNIV 114,855 23,989 4,788

5 BULACAN ST UNIV 98,830 38,211 2,586

6CEBU ST COLL OF SCI AND TECH 96,187 32,665 2,945

7MINDANAO ST UNIV - MAIN 83,255 50,177 1,659

8 W MINDANAO ST UNIV 80,037 31,321 2,555

9 CAGAYAN ST UNIV 77,202 38,356 2,013

10 WEST VIS ST UNIV 76,264 19,463 3,918

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SUCS NFF 2015 36

Top Ten 2015 INSTRUCTIONAL MOOE per capita

RANK SUCCOMBINED 2015

MOOE FOR INSTRUCTN

ENROL + GRADUATES

2015 MOOE PER CAPITA

TOTAL (113) 3,612,482 1,626,132 2,222

1 PHIL NORMAL UNIV 115,394 14,875 7,758

2 MSU - IIT 135,750 19,627 6,916

3 CEBU NORMAL UNIV 56,229 8,282 6,789

3 CENTRAL MINDANAO UNIV 55,285 11,926 4,636

5 CENTRAL LUZON ST U 61,678 13,602 4,534

6 BENGUET ST UNIV 49,201 11,732 4,194

7 LEYTE NORMAL UNIV 33,316 8,093 4,117

8 MARIANO MARCOS ST U 64,416 16,813 3,831

9 BICOL UNIV 114,855 31,010 3,704

10 CAM SUR POLY COLL 20,983 5,893 3,561

20 AUG 2015

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SUCS NFF 2015 37

Least INSTRUCN MOOE per capita

RANK SUCCOMBINED 2015

MOOE FOR INSTRUCTN

ENROL + GRADUATES

2015 MOOE PER CAPITA

101 JOSE RIZAL MEM ST COLL 19,769 14,653 1,349

102 BASILAN ST COLL 9,435 7,066 1,335 103

NUEVA ECIJA UNIV OF SCI AND TECH 44,847 33,614 1,334

104TAWI-TAWI REGIONAL AGRIC COLL 6,212 4,687 1,325

105 J. H. CERILLES ST COLL 17,225 13,027 1,322

106 BUKIDNON ST COLL 36,968 28,080 1,317

107 OCC MINDORO NATL COLL 14,495 11,259 1,287

108COTABATO CITY ST POLY COLL 11,499 9,190 1,251

109ADIONG MEM POLY ST COLL 4,247 4,164 1,020

110 MINDANAO ST UNIV - TCTO 6,667 9,723 686

20 AUG 2015

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SUCS NFF 2015 38

5% COMPONENT 3-A: RESEARCH FOR SUCS LEVEL 1-2

0.5% HEADCOUNT OF SENIOR RESEARCH STAFF

14.5% WEIGHTED FTE FACULTY WITH MASTERS DEGREES

32.2% WEIGHTED FTE FACULTY WITH DOCTORAL DEGREES

30.9% WEIGHTED FTE FACULTY ASSIGNED TO RESEARCH (AS DERIVED FROM FORM E2)

1.9% NO. OF ACCREDITED PHD PROGRAMS

1.6% LOCAL/ REGIONAL PRESENTNS

1.7% NATIONAL PRESENTATIONS

3.3% INTERNATIONAL PRESENTATIONS

4.0% PUBLICATIONS IN CHED-ACCREDITED JOURNALS

8.0% REFEREED INTERNATIONAL JOURNALS

1.2% PUBLICATIONS PER FACULTY

100.0% TOTAL FOR RESEARCH A20 AUG 2015

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SUCS NFF 2015 39

Example:”informed assignment” of points ….

 POINTS PER ITEM 0.5 5 10 20 10  

100,000   

   

  SENIOR FACULTY

NATIONAL PRESENT

NS

NATIONAL PUBLICNS

INT'L PUBLICN

S

INTL PUBN PER

FACULTY

TOTAL POINTS

ASSIGNED

IMPLIED %

SHARE

PESOS SHARE

                 SUC A 200 100 10 5 0.025 700.3 31.7% 31,674

SUC B 100 50 30 2 0.020 590.2 26.7% 26,696

SUC C 300 70 20 10 0.033 750.3 33.9% 33,939

SUC D 200 10 10 1 0.005 170.1 7.7% 7,692

TOTAL 800 230 70 18 0.023 2,210.8 100% 100,000

20 AUG 2015

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SUCS NFF 2015 40

Example:”informed assignment” of points….

 POINTS PER ITEM 0.5 5 10 20 10  

100,000 

400

1,150

700

360

0.833 2,610.8

   

 IMPLIED WEIGHT

15% 44% 27% 14% 0.03% 100%    

  SENIOR FACULTY

NATIONAL PRESENT

NS

NATIONAL PUBLICNS

INT'L PUBLICN

S

INTL PUBN PER

FACULTY

TOTAL POINTS

ASSIGNED

IMPLIED %

SHARE

PESOS SHARE

                 SUC A 200 100 10 5 0.025 700.3 31.7% 31,674

SUC B 100 50 30 2 0.020 590.2 26.7% 26,696

SUC C 300 70 20 10 0.033 750.3 33.9% 33,939

SUC D 200 10 10 1 0.005 170.1 7.7% 7,692

TOTAL 800 230 70 18 0.023 2,210.8 100% 100,000

20 AUG 2015

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SUCS NFF 2015 41

Example:”informed assignment” of points

 POINTS PER ITEM

0.5 5 10 50 10    

100,000 

400

1,150

700

900

0.833 3,150.8

   

 IMPLIED WEIGHT

13% 36% 22% 29% 0.03% 100.0%    

  SENIOR FACULTY

NATIONAL PRESENT

NS

NATIONAL PUBLICNS

INT'L PUBLICN

S

INTL PUBN PER

FACULTY

TOTAL POINTS

ASSIGNED

IMPLIED % SHARE

PESOS SHARE

                 SUC A

200 100

10

5

0.025

850.3 30.9%

30,909

SUC B 100

50

30

2

0.020

650.2 23.6%

23,636

SUC C 300

70

20

10

0.033

1,050.3 38.2%

38,182

SUC D 200

10

10

1

0.005

200.1 7.3%

7,272

TOTAL 800

230

70

18

0.023

2,750.8 100%

100,000 20 AUG 2015

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SUCS NFF 2015 42

10% COMPONENT 3-B: RESEARCH FOR SUCS LEVEL 3-4

0.1% HEADCOUNT OF SENIOR RESEARCH STAFF

2.9% WEIGHTED FTE FACULTY WITH MASTERS DEGREES

5.7% WEIGHTED FTE FACULTY WITH DOCTORAL DEGREES

7.9% WEIGHTED FTE FACULTY ASSIGNED TO RESEARCH (AS DERIVED FROM FORM E2)

1.1% NATIONAL RESEARCH CENTERS

7.5% CHED CENTERS OF EXCELLENCE

3.5% CHED CENTERS OF DEVT

2.0% NO. OF ACCREDITED LEVEL 3-4 PHD PROGRAMS

16.9% SCOPUS CITATIONS

5.1% NATIONAL PRESENTATIONS6.2% NATIONAL PUBLICATIONS7.3% INTERNATIONAL PRESENTATIONS

28.3% INTERNATIONAL PUBLICATIONS5.2% PATENTS

0.24% PUBLICATIONS PER FACULTY

100.0% TOTAL FOR RESEARCH B20 AUG 2015

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SUCS NFF 2015 43

Research-A puts more weight on inputs while Research-B puts more on outputs.

GAA 2015 MOOE

WEIGHT ASSIGNED TO RES INPUTS

WEIGHT ASSIGNED TO RES OUTPUTS TOTAL

RESEARCH-A(SUC levels 1-2)

80% 20% P 225.7M

RESEARCH-B(SUC levels 3-4)

31% 69% P 451.6M

20 AUG 2015

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SUCS NFF 2015 44

Top Ten 2015 research MOOE

  SUCSUC

LEVEL 2014

HEITYPE 2015

2015 RESEARCH-

A MOOE (LEVELS 1-

2)

2015 RESEARCH-B MOOE (LEVELS

3-4)

2014 RESEARCH

MOOE A (LEVELS 1-2)

2014 RESEARCH

MOOE B (LEVELS 3-4)

TOTAL (113)     225,780 451,560 187,260 374,519

1VISAYAS STATE UNIV. (LEYTE ST UNIV) 4 U

-

45,006 - 27,389

2CENTRAL LUZON ST UNIV 4 U

-

39,709 - 41,257

3 MSU - IIT 4 U -

35,260 - 58,588

4CENTRAL MINDANAO UNIV 4 U

-

27,571 - 11,515

5 WEST VIS ST UNIV 4 U -

21,581 - 16,181

6 LAGUNA ST POLY UNIV 2 U 20,655 - 14,955 -

7 CEBU NORMAL UNIV 3A U -

15,536 - 5,116

8CARLOS HILADO MEM ST COLL 2 C 14,733 - 8,839 -

9MINDANAO ST UNIV - MAIN 4 U

-

13,088 - 11,817

10SOUTHERN LEYTE ST UNIV 2 U 12,760 - 12,454 -

20 AUG 2015

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SUCS NFF 2015 45

Top Ten 2016 research MOOE

  SUCSUC

LEVEL 2014

HEITYPE 2015

2016 RESEARCH- MOOE FOR COLLEGES

2016 RESEARCH-MOOE FOR UNIVERSITI

ES

2015 RESEARCH- MOOE FOR LEVELS 1-2

2015 RESEARCH-MOOE FOR LEVELS 3-4

SUCS (113)     246,504 493,008 225,780 451,560

1 CENTRAL LUZON ST UNIV 4 U - 67,798 - 39,709

2 MSU - IIT 4 U - 61,494 - 35,260

3VISAYAS STATE UNIV. (LEYTE ST UNIV) 4 U - 52,713 - 45,006

4ILOILO SCI AND TECH UNIV (WVCST) 3A C 20,179 - - 4,073

5 CEBU NORMAL UNIV 3A U - 19,186 - 15,536

6 BICOL UNIV 4 U - 19,104 - 10,718

7 TARLAC COLL OF AGRIC 3A C 16,986 - - 4,495

8 OCC MINDORO ST COLL 2 C 16,082 - 3,341 -

9 WEST VIS ST UNIV 4 U - 15,422 - 21,581

10CARLOS HILADO MEM ST COLL 2 C 15,355 - 14,733 -

20 AUG 2015

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SUCS NFF 2015 46

5% COMPONENT 4: EXTENSION SERVICES

5.0% NO. OF SENIOR EXTENSION STAFF

23.0% WEIGHTED FTE FACULTY ASSIGNED TO EXTENSION (AS DERIVED FROM FORM E2)

72.0% PERSON-DAYS TRAINED

100.0% TOTAL FOR EXTENSION SERVICES

20 AUG 2015

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SUCS NFF 2015 47

Top 15 SUCs with most 2015 extension MOOE

2015 MOOE FOR EXTENSION

  TOTAL 225,780

1 VISAYAS STATE UNIV. (LEYTE ST UNIV) 11,783 2 SAMAR ST UNIV 9,270 3 LAGUNA ST POLY COLL 6,304 4 TARLAC COLL OF AGRIC 6,111 5 NAVAL INST OF TECH 6,040 6 MINDANAO ST UNIV - MAIN 5,860 7 BICOL UNIV 5,406 8 CENTRAL LUZON ST UNIV 5,346 9 BENGUET ST UNIV 5,079

10 DON MARIANO MARCOS MEM ST UNIV 4,609 11 POLY UNIV OF THE PHIL 4,537 12 WESTERN PHIL UNIV (Formerly SPCP) 4,400 13 SORSOGON ST COLL 4,317 14 MSU - IIT 4,175 15 OCC MINDORO NATL COLL 4,066 20 AUG 2015

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SUCS NFF 2015 49

Factors outside the NFFwhich affect the use of SUCs MOOE

• The authority of SUC boards and administrators to open new programs and satellite campuses to cross-subsidize between programs and education levels.

• The ability of CHED commissioners as Chairs of SUC Boards to guide/steer/influence SUCs toward CHED or national priorities.

• Late or missing data and data outliers, esp. enrolment and graduates.

• Unanalyzed and unused information from the existing CHED database, e.g. Forms E1 and E2.

20 AUG 2015

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SUCS NFF 2015 50

Other factors which affect SUCs MOOE….

• National policies such as “No tuition fee increases in SUCs”.

• SSL. • Civil Service Rules, e.g. on the implications of

downloading of one year’s worth of GE from higher education to basic education.

• Power of Congress and Senate: creation of new SUCs, congressional insertions, allocation of grants-in-aid or scholarship funds.

• IGPs as a possible modality (intended or non-intended) for “converting” GAA allotments into SUC income.

20 AUG 2015

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SUCS NFF 2015 512012 GAA 2013 GAA 2014 GAA 2015 GAA 2016 GAA

-

5.0

10.0

15.0

20.0

25.0

30.0

35.0

18.9

23.0 22.9 22.7

25.0

3.0

6.4 6.6 6.8 7.4

21.9

25.3

29.6

31.8 32.4

PSMOOEPS+MOOE

20 AUG 2015

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SUCS NFF 2015 52

Excerpts from the 2012 “back files”: Normative MOOE as % of PS

Education Technology/delivery mode

IMPLIED PS COST PER FTE STUDENT

NORM: MOOE AS % OF PS

IMPLIED MOOE COST PER FTES

LECTURE CLASS-BASED DELIVERY MODE    

LECTURE CLASS TYPE 1 18,649 0.20 3,730 LECTURE CLASS TYPE 2 32,409 0.25 8,102 LECTURE CLASS TYPE 3 81,150 0.30 24,345 LABORATORY-BASED DELIVERY MODE    LAB TYPE 1 19,694 0.40 7,878 LAB TYPE 2 41,340 0.50 20,670 LAB TYPE 3 72,063 0.60 43,238 OTHER DELIVERY MODES    FIELD WORK 20,850 0.30 6,255 INDEPENDENT STUDY 3,255 0.10 326 BREAKOUT DISCUSSION MODE 15,820 0.30 4,746

OJT 23,568 0.10 2,357 20 AUG 2015

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SUCS NFF 2015 53

MOOE as % of SUCS budgets

2012 GAA 2013 GAA 2014 GAA 2015 GAA 2016 GAA

PS 18.9 23.0 22.9 22.7 25.0

MOOE

3.0 6.4 6.6 6.8 7.4

PS+MOOE

21.9 25.3 29.6 31.8 32.4

MOOE AS % OF PS 16% 28% 29% 30% 30%

MOOE AS % OF PS+MOOE 14% 25% 22% 21% 23%

20 AUG 2015

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SUCS NFF 2015 54

SUC INCOME 2010

CATEGORY BILLION PHP

TUITION 5.39 INCOME from STUDENTS 2.64 INCOME from other SOURCES 1.67 REVOLVING FUND 0.78 GRANTS/ DONATIONS 0.17 OTHERS 0.69 TOTAL INCOME 11.34

20 AUG 2015

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SUCS NFF 2015 55

SUC INCOME 2010

20 AUG 2015

TUITION; 5.386916; 47%

FROM STU-

DENTS;

2.639807;

23%

OTHER SOURC

ES; 1.6689

13; 15%

RE-VOLV-

ING FUND; 0.781947; 7%

GRANTS/DON; 0.174525; 2%

OTHERS; 0.689017; 6%

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SUCS NFF 2015 56

SUC income by category (2010-14)

20 AUG 2015

2010 2011 2012 2013 2014 -

2.00

4.00

6.00

8.00

10.00

12.00

14.00

16.00

18.00

20.00

8.06

9.21

10.28 11.02

11.54

2.45 2.27 2.88 3.57

3.73

0.86 1.29 1.59

2.53 2.48

11.37

12.77

14.75

17.12 17.75

TUITION + INCOME FROM SSTUDENTS

REVOLVING FUND

GRANTS ETC

TOTAL SUC INCOME

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SUCS NFF 2015 57

Possible moral hazard: virtual conversion of some GAA into “SUC income”

A B C D E

EXAMPLE

DIRECT COST PAID FROM GAA

PS

DIRECT COST PAID FROM GAA

MOOE

PRESUMED IGP GROSS

REVENUE

NAÏVE COMPUTATION

OF IGP NET REVENUE

TRUE IGP NET REVENUE

IGP 1 500 1,000 2,000 1,000 500

IGP 2 800 3,000 3,200 200 (600)

         

TOTAL 1,300 4,000 5,200 1,200 (100)

20 AUG 2015

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SUCS NFF 2015 58

Some pending matters for 2015 and beyond:1. Implications of HEI typology

2. How to deal with no data, late data and apparently outlier data.

3. Reviewing and publicizing the effect of the priority indices.

4. How the NFF can reward SUCs sticking to their “mandates” or regional priorities.

5. How the NFF could provide incentives for SUC “amalgamations”.

6. Refining the assessment of outputs from research and extension services.

7. Completing, analyzing and utilizing info from reported workloads in Forms E1 and E2.

8. Reviewing the back files, e.g. cost per delivery mode or education technology.

9. Obtaining the appropriate data to simulate putting PS (or some aspects of it) under NFF.

10. Implications of upcoming SHS and downloaded GE on SUC costs.20 AUG 2015

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SUCS NFF 2015 59

Preliminary recommendations for SUCs

1. Take advantage of economies of scale.

2. Identify areas of distinctive advantage.

3. Compute true “net income” of IGPs.

4. Go for quality before quantity.

5. Submit correct data on time.

20 AUG 2015

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SUCS NFF 2015 60

Suggested next steps for CHED:1. Analyze, update, refine and expand the SUCs

database in CHED and use it to continuously improve the NFF:• Continue to validate submitted data & fill the data gaps: esp.

enrolment, graduates, PRC performance, personnel counts. • Harvest information from existing-but-unprocessed data, esp. on

actual faculty workloads (e.g. Forms E1 & E2), research & training outputs (as reported for SUC levelling).

• Transparency: make SUC data available on the website.• Provide feedback to SUCs and use the resulting goodwill to collect

more data.

2. Triangulate SUC cost-per-student estimates:• Conduct cost accounting study of some model HEIs to

benchmark cost norms in selected fields.• Implement econometric analysis to derive production function,

thereby estimate fixed costs and variable costs.• Continue refining the normative funding approach.20 AUG 2015

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SUCS NFF 2015 61

Suggested next steps (continued)….3. Commission a tracer study to get ultimate NFF outcomes data:

how many graduates obtain employment.

4. Review the back files.

5. Conduct more simulation of implementing NFF on PS in the 2016 GAA and beyond. Note 4 dimensions of PS: no. of plantilla positions, personnel headcounts, full-time equivalence, cost.

5. Analyze SUC income, esp. student fees. Measure capacity of students to pay and the benefits of higher education. Vigilance against the use of IGPs as (intended or unintended) conversion from GAA to SUC income.

6. Align the use of HEDF with that of NFF objectives in allocating funds for student financial assistance, faculty development, research programs, COE/CODs.

7. Continue cooperation between DBM and CHED, between PRC and CHED.

8. Connect HEI typology work and NFF for SUCs. 20 AUG 2015

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SUCS NFF 2015 62

Thank you.

20 AUG 2015

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SUCS NFF 2015 63

Remarks (20 August 2015)

• The following slides show there is need to take a closer look at the SUCs enrolment and graduates data.

20 AUG 2015

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SUCS NFF 2015 6420 AUG 2015

BASIC ED; 35.51; 2%TECH/ VOC ; 31.577; 2%

PRE-BACC; 138.625; 9%

BACC; 1217.56; 81%

POST-BACC; 6.648; 0%MASTERS; 59.75; 4%PHD; 12.396; 1%

2014-15 ENROLMENT

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SUCS NFF 2015 65

The 15 biggest SUCs (all levels combined, 2014-15)

20 AUG 2015

1 Polytechnic University of the Philippines Total 71,568 2 University of the Philippines System Total 58,642 3 Mindanao State University Total 46,999 4 Bulacan State University Total 41,701 5 Batangas State University Total 38,986

6Cebu State College of Science and Technology Total 37,279

7 Cavite State University Total 36,240 8 Cagayan State University Total 36,088 9 Isabela State University Total 34,044

10Nueva Ecija University of Science and Technology Total 32,525

11 Western Mindanao State University Total 30,970 12 Rizal Technological University Total 28,697 13 Bicol University Total 25,402 14 Bukidnon State University Total 24,890 15 Laguna State Polytechnic University Total 24,839

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SUCS NFF 2015 66

The smallest SUCs (Enrolment 2014-15)

20 AUG 2015

101 Tawi-Tawi Regional Agricultural College Total

3,252

102 Siquijor State College Total 3,042 103 Camiguin Polytechnic State College Total 2,868 104 North Luzon Philippines State College

Total 2,793

105 Quirino State University Total 2,725 106 Guimaras State College Total 2,609

107 Apayao State College Total 2,407 108 Aurora State College of Technology Total 2,380 109 Davao del Norte State College Total 2,080 110 Northwestern Mindanao State College of

Science and Technology Total 1,897

111 Misamis Oriental State College of Agriculture and Technology Total

1,150

112 Philippine Merchant Marine Academy Total 929 113 Batanes State College Total 520

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SUCS NFF 2015 67

5-year trends in SUCs enrolment

• At baccalaureate level, enrolment increases at 8.78% per year

• At bacc level, ratio of graduates to total enrolment is 0.143 -- and therefore the ratio of total enrolment to graduates is about 7.0

20 AUG 2015

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SUCS NFF 2015 68

5-year average % increase in enrolment

20 AUG 2015

BASIC ED TECH/ VOC PRE-BACC BACC POST-BACC MASTERS PHD TOTAL

-15.0%

-10.0%

-5.0%

0.0%

5.0%

10.0%

15.0%

20.0%

25.0%

-10.2%

13.7%

4.9%

8.8%

15.1%

6.3%

19.0%

7.75%

Average Annual % increase in Enrolment

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SUCS NFF 2015 69

Fastest-growing or over-reported enrolment (all levels combined)

TOTAL 1,114,366 1,123,023 1,330,673 1,440,094 1,502,066 7.75%

TOTAL ENROLMENT 2010-11 2011-12 2012-13 2013-14 2014-15

AVG ANNUAL % INCREASE OF ENROLMENT

AMPSC 369 - 2,103 3,681 3,749 78.5%CCSPC 2,546 - 6,232 8,444 10,177 41.4%BasSC 3,224 4,414 4,382 5,732 11,861 38.5%CFCST 1,597 - 3,420 3,632 4,661 30.7%BukSU 9,021 19,457 22,330 24,890 24,890 28.9%

MSU-TCTO 1,458 - 7,992 8,307 3,585 25.2%DEBEMSCAT 2,259 2,666 3,236 3,848 4,976 21.8%

DOSCST 4,050 4,835 5,777 6,660 8,543 20.5%MPC 4,211 5,215 6,535 7,420 8,840 20.4%

JRMSU 6,238 977 10,041 12,962 13,088 20.4%

20 AUG 2015

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SUCS NFF 2015 70

“Fastest-declining” enrolment (all levels combined)

2010-11 2011-12 2012-13 2013-14 2014-15AVG ANNUAL %

INCREASE OF ENROLMENT

MSU-IIT 13,011 11,985 12,385 13,000 11,772 -2.5%ASCOT 2,762 2,673 2,402 2,439 2,380 -3.7%

CPSC 3,330 3,167 3,160 3,115 2,868 -3.7%PMMA 1,103 - 913 929 929 -4.2%

ASU 7,953 8,272 8,727 9,182 6,571 -4.7%MOSCAT 1,414 1,390 1,169 1,092 1,150 -5.0%

BatSC 642 596 502 520 520 -5.1%ISCOF 5,037 5,404 5,029 4,902 3,836 -6.6%

PNU 14,359 12,959 13,333 12,072 9,914 -8.8%WVSU 15,810 17,121 18,594 19,463 3,849 -29.8%

20 AUG 2015

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A look at enrolment-graduates ratios

• Ratio of Enrolment to Graduates (RETG)• Ratio of Graduates to Enrolment (RGTE)

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SUCs enrolment and graduates (all levels)

20 AUG 2015

2009-10 2010-11 2011-12 2012-13 2013-14 2014-15 -

200

400

600

800

1,000

1,200

1,400

1,600

1,114 1,123

1,331 1,440 1,502

191 189 219 246 255

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SUCs enrolment and graduates (bacc only)

20 AUG 2015

2009-10 2010-11 2011-12 2012-13 2013-14 2014-15 -

200

400

600

800

1,000

1,200

1,400

870 871

1,027

1,139 1,218

124 126 141 165 177

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SUCS NFF 2015 7420 AUG 2015

PRE- SCH

ELEM HS TECH VOC

PRE BACC

BACC POST BACC

MS PHD -

1.0

2.0

3.0

4.0

5.0

6.0

7.0

8.0

9.0

1.8

6.7

4.3

2.4 3.4

7.0

2.3

6.4

8.0

Averaged over 5 years: RATIO OF ENROLMENT TO GRADUATES

(RETG)

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SUCS NFF 2015 7520 AUG 2015

PRE- SCH

ELEM HS TECH VOC

PRE BACC

BACC POST BACC

MS PHD -

0.100

0.200

0.300

0.400

0.500

0.600 0.560

0.149

0.235

0.421

0.296

0.143

0.427

0.157 0.125

Averaged over 5 years:RATIO OF GRADUATES TO ENROLMENT

(RGTE)

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Assuming bacclaureate programs take only 4 years normally, how could RETG=7.0 arise?

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Example1: A scenario yielding RETG=7.0:Freshman intake increases at 8.78% per year (i.e. actual rate), about 17% repeat the year, about 10% drop out per year,

and the remaining 73% of students make normal progress toward graduation from 4-year programs.

YEAR 1 2 3 4 5 6 7 8 9 10

FRESHMEN 1,000

1,088 1,307 1,422

1,585 1,731 1,889 2,057 2,238 2,435

SOPHOMORES   730 794 1,089

1,223 1,365 1,496 1,633 1,779 1,936

JUNIORS     533 580 894 1,045 1,174 1,292 1,412 1,539

SENIORS       389 423 724 886 1,008 1,114 1,220

                     

TOTAL ENROL       3,480

4,126 4,866 5,445 5,989 6,543 7,130

TOTAL GRADS       323 351 601 735 837 925 1,013 RATIO: ENROLMT TO GRADUATES

      10.78 11.75 8.09 7.40 7.16 7.08 7.04

RATIO: GRADUATES TO ENROLMENT

      0.093 0.085 0.124 0.135 0.140 0.141 0.14220 AUG 2015

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Example2: A 2nd scenario also yielding RETG=7.0:Freshman intake increases at 8.78% per year (i.e. actual rate), about 10.0% repeat the year, about 15% drop out per yearand the remaining 75% of students make normal progress toward 4-year bacc programs

YEAR 1 2 3 4 5 6 7 8 9 Year

10

FRESHMEN 1,000 1,088 1,258 1,369 1,503 1,636 1,781 1,937 2,108 2,293

SOPHOMORES   750 816 1,025 1,129 1,240 1,351 1,471 1,600 1,741

JUNIORS     563 612 830 930 1,023 1,116 1,215 1,322

SENIORS       422 459 669 764 844 921 1,003                      

TOTAL ENROL     

3,428 3,921 4,474 4,919 5,367 5,844 6,358

TOTAL GRADS       380 413 602 688 759 829 903 RATIO: ENROLMT TO GRADUATES

     9.03 9.49 7.44 7.15 7.07 7.05 7.04

RATIO: GRADUATES TO ENROLMENT

     0.111 0.105 0.134 0.140 0.141 0.142 0.142

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Slowest “graduation rates”: Highest ratios of enrolment to no. of graduates

   ALL SUCS 5,124,159 732,795 7.0

    TOTAL BACC ENROL 5YRS

TOTAL BACC GRADS 5YRS

RATIO BACC ENROL TO

GRADS

1 AMPSC 5,856 461 12.7 2 ZSCMST 23,914 1,989 12.0 3 DOSCST 24,977 2,080 12.0 4 TTRAC 13,175 1,182 11.1 5 CavSU 114,351 10,344 11.1 6 ISPSC 18,590 1,692 11.0 7 NLPSC 8,720 798 10.9 8 KASC 19,931 1,896 10.5 9 NEUST 102,857 10,290 10.0

10 CCSPC 24,651 2,474 10.0 20 AUG 2015

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“Fastest graduation rates”: Highest ratios of graduates to enrolment

  ALL SUCS 5,124,159 732,795 7.0

    TOTAL BACC ENROL 5YRS

TOTAL BACC GRADS 5YRS

RATIO BACC ENROL TO

GRADS

104 TSU 68,835 14,618 4.7 105 BU 84,604 18,756 4.5 106 PNU 42,936 9,905 4.3 107 WVSU 52,979 12,582 4.2 108 PMMA 3,704 906 4.1 109 PhilSCA 11,565 3,204 3.6 110 BatSC 1,665 463 3.6 111 DNSC 3,008 919 3.3 112 CSPC 4,317 2,433 1.8

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There is urgent need to validate enrolment and graduates data, by level and by field of study.

20 AUG 2015