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Assessment Tools and Counting 2 March 2012 Dr. Benjamin Piper PRIMR Kenya

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Page 1: Assessment Tools and Counting...2 Mother’s hen is big and brown. It eats maize every morning and evening. It lays eggs in the fence. One day, mother’s hen disappeared for three

Assessment Tools and Counting

2 March 2012

Dr. Benjamin Piper

PRIMR Kenya

Page 2: Assessment Tools and Counting...2 Mother’s hen is big and brown. It eats maize every morning and evening. It lays eggs in the fence. One day, mother’s hen disappeared for three

2

Mother’s hen is big and brown. It eats maize every morning and evening. It lays eggs in the fence.

One day, mother’s hen disappeared for three weeks. It came back with five chicks.

John was very happy to see the chicks. Mother said, “Don’t play with the chicks.” John did not listen. He played with the chicks.

Mother’s hen attacked John. He cried and ran to the house. He did not play with the chicks again.

Reading Fluency

3 wpm 20 wpm 30 wpm

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Presentation Overview

• Importance of

Assessment

• Types of assessments

• Competency Benchmarks

• Deciding on meaningful

benchmarks in Grade 2

and 6 (GPE/USAID)

• Decline in non-readers

(GPE)

• Counting improved

readers (USAID)

• Fun add-ons for

assessment 3

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Reading is a Global Movement

• Egypt

• Ethiopia

• Kenya

• Uganda

• Malawi

• Zambia

• South Africa

• DRC

• Ghana

• Liberia

• Mali

4

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3/22/2012 5

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Importance of Assessment

6

• You implement what you evaluate

• Story of reading evaluation in Country X

• Wasting money, wasting time

• Improving the systems’ focus on learning

• USAID and GPE require standard reading indicators

• Encouraging assessment throughout the system

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Types of Assessments

• ASER

• UWEZO

• EGRA

• National assessments

7

• Key Question: Can one use them to

measure these reading activities?

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8

ASER

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ASER Results

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ASER and Validity

• Research compared ASER with DIBELS

• If we accept the other tests as appropriate criterion then

the ASER language (and math tests) measure up well.

• Although a brief test, the ASER provides a valid

snapshot of early reading ability (and basic math ability)

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11

UWEZO Kenya

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12

UWEZO Kenya Reading Levels

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13

UWEZO Uganda

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EGRA (Early Grade Reading Assessment)

• Many segments timed to 1 minute

– Meant to measure fluency

• Entire test in less than 15 minutes

• Applied by assessor, one-on-one orally

• Can be done on sample basis

• Very easy to score

• Based on current research of critical elements of

reading

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EGRA tasks in Kenya

KENYA

Task English Kiswahili Gikuyu Dholuo

Letter Naming X

Phonemic Awareness X X X X

Letter Sounds X X

Syllable Naming X X

Word Naming X X X X

Unfamiliar Word Naming X X X X

Oral Reading Fluency X X X X

Reading Comprehension X X X X

Listening Comprehension X X

3/22/2012

15

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Letter Naming / Letter Sounds

3/22/2012 16

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Phonemic Awareness

3/22/2012 17

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Syllable Identification Fluency

nũ ru yi ye ri ke gi hu wo gũ

tĩ ri rũ ndũ rĩ ci nda cũ mwĩ gĩ

yũ ge thi mbũ mũ ka mwa ha ro ga

na ku wĩ wa hũ mĩ thĩ tha the mo

ti bũ ga tũ kĩ ya nya twa ba ga

na kĩ na ci thu mbe rĩ te hi gwa

ka mi rĩ ma nyi hi kĩ kũ gu ma

be ta gĩ ndĩ he hĩ mwe ne ya kwa

ki re to me co rwo ri ko tu mũ

go ho yo we mũ wa rĩ ka na re

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Familiar Word Fluency

3/22/2012 19

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Non-words

3/22/2012 20

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Oral Reading Fluency and Reading Comprehension

3/22/2012 21

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2011 Oral Reading Passage: P4 and P5

Yesterday I woke up very late. It was raining heavily

outside. When I looked out of the window I saw grandmother’s cows running towards Mr. Mukasa’s banana garden. They started

eating the banana plants before anyone could stop them!

I ran out of the house and tried to chase them back into

the kraal. I was not successful because they were many and they

were big. One of the cows kicked out at me and I ran back to the

house. Now I have a pain in the leg.

I know that Mr. Mukasa will complain to the Chairman.

Poor grandmother! I am sure she will have to pay for the plants

spoilt by her cows. She also needs to take me to the health

centre for treatment. Those cows caused a lot of trouble.

3/22/2012 22

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National Assessments

Ethiopia Kenya Uganda

Organization NAEA&E KNEC UNEB

Assessment NLA NASMLA NAPE

Grade Level 4 & 8 3 & 6 3

Frequency Every 3-4 years Every 2-3 years Yearly

Sample Regionally

representative

Provincially

representative

Regionally

representative

Oral or written Written Written Written, with oral

components

Equated across

forms

By experts Yes By experts

23

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Essential Research Methodology

24

• Random sampling

• Representative of population

• Sample size sufficient to detect changes

• School based or Household based

• Analyzable in terms of USAID/GPE indicators

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Types of Assessments

• ASER

• UWEZO

• EGRA

• National assessments

25

• Key Question: Can one use them to

measure these reading activities?

• With some adjustments, yes

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Key Indicators

26

• Reading competency at the end of

Grade 2 and Grade 6

• Decline in the proportion of non-readers

• Measuring the number of children with improved reading

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Local Setting of Competency Benchmarks

• Based on actual data

• Done locally, with experts

• For each language

• Need to set benchmarks before program

start-up

27

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Possible methods to set benchmarks

METHOD 1: Estimate what the average oral

reading fluency score is for children who

comprehend at 80% and 100%.

METHOD 2: Trend of scores who comprehend

well

METHOD 3: Average scores of the high

performing low SES schools

METHOD 4: Average scores if the particular

language was the language of instruction 75%-

80% of the time

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Initial Attempts at Benchmarking

29

28.8

11.8

7.1 7.8

13.8

2.5 1.3

2.9 3.5

0.2 0 0 0

5

10

15

20

25

30

35

English Kiswahili Gikuyu Dholuo

Pe

rce

nta

ge a

t B

en

ch

ma

rk

Oral Reading Fluency in Kenya Compared with Benchmarks

45 wpm (Kenya Standard 2)

60 wpm (International Grade 2)

90 wpm (International Grade 3)

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Oral Reading Fluency Benchmarks

Country Language Proposed Benchmark

Percent of children at benchmark (2010)

Target by 2015

Ethiopia Amharic 60 wpm 4.3% 80%

Afan Oromo 70 wpm 4.2% 60%

Tigrigna 60 wpm 0.4% 45%

Sidaamu Afoo 75 wpm 0.1% 70%

Hararigna 60 wpm 0.6% 50%

Kenya Dholuo 55 wpm 2.4%

Gikuyu 60 wpm 2.0%

English 100 wpm 3.6%

Kiswahili 65 wpm 2.4%

Uganda Luganda 60 wpm 0.4% 70%

Lango 55 wpm 0.0% 50% 3/22/2012 30

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Oral Reading Fluency and Comprehension (Afaan Oromo)

3/22/2012 31

R squared .80

05

01

00

150

0 50 100 150Afan Oromo Oral Reading Fluency

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Visual Inspection - Luganda

3/22/2012 32

02

04

06

08

01

00

0 20 40 60 80Luganda Oral Reading Fluency

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Second Languages are More Difficult

3/22/2012 33

02

04

06

0

0 20 40 60 80English Oral Reading Fluency

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Second languages are more difficult

3/22/2012 34

89 95

103

125

169.6

100 104.5

112

131.1

147.3

80

90

100

110

120

130

140

150

160

170

10th 25th 50th 75th 90th

English Oral Reading Fluency Scores Associated with High

Levels of Comprehension

RC = 80%

RC = 100%

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Good News: Language Skills transfer

R^2=.63

020

40

60

80

0 20 40 60 80Luganda Oral Reading Fluency (Words Per Minute)

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Suggestion…

• Use mother tongue for teaching

• Measure in mother tongue

• Compare across languages if necessary

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Oral Reading Fluency by Reading Comprehension

3/22/2012 37

43.2

53.9 55.9 56.3 57.9 58.6

51.2

68.1 70.4

60.7

67.4

60

8.3

29.5 27.6 26.3 28.1

20

0

10

20

30

40

50

60

70

80

Sidamigna Amharic Hararigna Somali Afan Oromo

Tigrigna

80%

100%

Average

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Oral Reading Fluency by Comprehension

91.7

59.8

39.2

55.2

99.2

64.1

50.7

66.1

30.4

21.8 20 19.6

0

20

40

60

80

100

120

English Kiswahili Gikuyu Dholuo

80%

100%

Mean

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Oral Reading Fluency Benchmarks

Country Language Proposed Benchmark

Percent of children at benchmark (2010)

Target by 2015

Ethiopia Amharic 60 wpm 4.3% 80%

Afan Oromo 70 wpm 4.2% 60%

Tigrigna 60 wpm 0.4% 45%

Sidaamu Afoo 75 wpm 0.1% 70%

Hararigna 60 wpm 0.6% 50%

Kenya Dholuo 55 wpm 2.4%

Gikuyu 60 wpm 2.0%

English 100 wpm 3.6%

Kiswahili 65 wpm 2.4%

Uganda Luganda 60 wpm 0.4% 70%

Lango 55 wpm 0.0% 50% 3/22/2012 39

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Decline in Non-readers (GPE)

• After the baseline

• Measure the percentage of non-readers

• Indicator: percentage of non-reader declines by half

• Measure at midterm and final

40

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Kenyan Non-readers

0% 20% 40% 60% 80% 100%

English

Kiswahili

Gikuyu

Dholuo

14

19

15

20

40

42

55

54

42

37

28

24

3

3

2

2

Very low

Low

Moderate

Fluent

3/22/2012 41

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Non-readers are quite high

3/22/2012 42

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Hypothetical Example

29.7 27.5

41.2

26.5 33.7

69.2

17.9 10.1

33.9

12.7 17

20.6 21.4 14.8

54

9 3.8

20

0

10

20

30

40

50

60

70

80

Baseline

Midterm

3/22/2012 43

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Counting

Measuring the number of children with improved reading skills

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Baseline Hypothetical

3/22/2012 45

0% 20% 40% 60% 80% 100%

Sidama (SNNP)

Oromiya

Benishangul-Gumuz

Tigray

Amhara

Somali

Harari

Addis Ababa

Zero Low Moderate Benchmark or Above

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Endline Hypothetical

3/22/2012 46

0% 20% 40% 60% 80% 100%

Sidama (SNNP)

Somali

Oromiya

Amhara

Benishangul-Gumuz

Tigray

Harari

Addis Ababa

Zero Low Moderate Benchmark or Above

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Baseline Hypothetical

3/22/2012 47

0% 20% 40% 60% 80% 100%

Sidama (SNNP)

Oromiya

Benishangul-Gumuz

Tigray

Amhara

Somali

Harari

Addis Ababa

Zero Low Moderate Benchmark or Above

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Endline Hypothetical

3/22/2012 48

0% 20% 40% 60% 80% 100%

Sidama (SNNP)

Somali

Oromiya

Amhara

Benishangul-Gumuz

Tigray

Harari

Addis Ababa

Zero Low Moderate Benchmark or Above

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Most Frequent Scores by Level

English Central Region

English Lango region

Luganda Central Region

Lango Lango region

BL MT BL MT BL MT BL MT

0 53.1% 23.4% 87.9% 64.3% 50.8% 25.8% 81.8% 51.0%

1-10 32.5% 25.8% 10.6% 21.8% 23.6% 19.4% 15.0% 24.9%

11-20 8.7% 23.1% 1.4% 8.8% 13.9% 13% 3.0% 16.8%

20-29 2.3% 14.8% 0.0% 3.8% 8.9% 16.7% 0.0% 5.0%

30 + 3.4% 12.8% 0.0% 1.2% 2.7% 24.9% 0.2% 2.0%

AVERAGE 5.2 wpm 16.3 wpm 0.6 wpm 4.6 wpm 7.1 wpm 18.1 wpm 1.2 wpm 6.2 wpm

3/22/2012 49

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Create your OWN benchmarks

Second Grade: Three Assessment Periods Per Year

Beginning of Year Months 1 - 3

Middle of Year Months 4 - 6

End of Year Months 7 - 10

DIBELS Measure

Scores Status Scores Status Scores Status

ORF 0 - 25

26 - 43

44 and above

At Risk

Some Risk

Low Risk

0 - 51

52 - 67

68 and above

At Risk

Some Risk

Low Risk

0 - 69

70 - 89

90 and above

At Risk

Some Risk

Low Risk

Third Grade: Three Assessment Periods Per Year

Beginning of Year Months 1 - 3

Middle of Year Months 4 - 6

End of Year Months 7 - 10

DIBELS Measure

Scores Status Scores Status Scores Status

ORF 0 - 52

53 - 76

77 and above

At Risk

Some Risk

Low Risk

0 - 66

67 - 91

92 and above

At Risk

Some Risk

Low Risk

0 - 79

80 - 109

110 and

above

At Risk

Some Risk

Low Risk

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52

Fluency Alone is NOT Enough

39.8

26.6

20

25.6

18.6 19.6

9.3

47.6

54.3

6

17.6

56

0

10

20

30

40

50

60

English Kiswahili Gikuyu English Kiswahili Dholuo

Rural Central Rural Luo-Nyanza

Oral Reading Fluency Reading Comprehension

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Designing an Assessment Program

2012 2013 2014

Cohort Term 1 Term 2 Term 3 Term 1 Term 2 Term 3 Term 1

1

2

3

53

Research Design

Baseline Midterm Final

Formative Assessment

Major Assessments

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Organizing for Implementation

• Sample-based

EGRA/EGMA assessment

• Careful sampling frame

• Randomly selected

districts or zones

• Randomly selected

schools (clustered)

• Randomly selected

children

• Repeated at midterm and final

• Undertaken WITH support 54

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Design Assessment Tools

• For each language

• Equated forms developed

• Equating done using IRT

theory

• Never translate from

another language or country

• Use linguists and curriculum

experts

• Adapt to local languages

and curricula

• Piloted using IRT theory to

improve assessment

55

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Implement Baseline

• Often in a three stage

randomly stratified design

• In randomly selected

schools

• With randomly selected

children

• Using streamlined data

entry methods

• Analyzed using replicable

methods

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Implement Midterm

• Midterm included to help

with program corrections

• Need to have the midterm

close to the baseline to

catch problems quickly

• Do NOT use the same

assessment

• DO equate the forms

• Use a variety of methods

of analysis

57

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Use Assessment to Correct Course

• Grade level differences?

• Gender differences?

• Regional differences?

• Investigate teacher

behavior and take-up

• What incentives can you

create that are low or

no-cost?

• Travel allowances

• Investigate related

factors, intervene where

possible 58

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59

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Final Assessment

• Continue randomly

selecting schools

• Maybe include

longitudinal sub-sample

• Measure effect size and

program gains

• Report on successes and

failures

• Make datasets publicly

available

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What is needed for all of this?

• Decisions on

assessments to use

• Skilled language people

(curriculum and linguists)

• Assessment department

skills

• Approximately 3-5% of

intervention budget

• Commitment to fast

results

• Commitment to unbiased

analysis

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“Extras” for Assessment

• e-EGRA tools

• Assessment in classrooms

• Assessment to lead to “systems” change

• Revitalizing the reporting to focus on learning

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Thank you

Dr. Benjamin Piper

[email protected]

www.eddataglobal.org

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Require Meaningful Measures

3/22/2012 www.rti.org 64

0

10

20

30

40

50

60

70

80

English Kiswahili Gikuyu Dholuo

0 25<1 50<25 75<50 >75