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i

THE VOCABULARY PROFILE OF THE ENGLISH

TEXTBOOK USED IN THE 10

TH

GRADE OF SATYA

WACANA CHRISTIAN SENIOR HIGH SCHOOL SALATIGA

THESIS

Submitted in Partial Fulfillment

of the Requirements for the Degree of

Sarjana Pendidikan

Anestasia Yuliani

112012055

ENGLISH TEACHING EDUCATION PROGRAM

FACULTY OF LANGUAGE AND ARTS

UNIVERSITAS KRISTEN SATYA WACANA

SALATIGA

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v

COPYRIGHT STATEMENT

This thesis contains no such material as has been submitted for examination in

any course or accepted for the fulfillment of any degree or diploma in any

university. To the best of my knowledge and my belief, this contains no material

previously published or written by any other person except where due the

reference is made in the text.

Copyright@ 2016. Anestasia Yuliani and Anne Indrayanti Timotius, S.Pd, M.Ed.

All rights reserved. No part of this thesis may be reproduced by any means

without the permission of at least one of the copyright owners or the English

Language Education Program, Faculty of Language and Arts, Universitas Kristen

Satya Wacana, Salatiga.

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TABLE OF CONTENT

Cover Page ... i

Pernyataan Tidak Plagiat... ii

Pernyataan Persetujuan Akses... iii

Approval Page ... iv

Copyright Statement ... v

Publication Agreement Declaration ... vi

Table of Content ... vii

Abstract ... 1

Introduction ... 1

Literature Review ... 5

Definition of vocabulary ... 5

Types of vocabulary ... 5

The Important of Vocabulary ... 6

Teaching Vocabulary ... 9

Learning Vocabulary ... 10

Vocabulary Profiler ... 11

Relevant Previous Study ... 14

The Study ... 15

Context of the Study ... 16

Materials ... 16

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viii

Data Collection Procedures ... 17

Data Analysis Procedure ... 18

Findings and Discussions ... 18

A. Overall Vocabulary Profile of the Textbook ... 19

B. Negative Vocabulary Profiles of the Textbook ... 20

C. Block Frequency Output of

Off-List

words ... 23

D. Comparison of Vocabulary Profile across Chapters ... 25

E. Text Comparison across Chapters in the Textbook ... 27

Conclusion ... 30

References ... 32

Acknowledgements ... 34

Appendices ... 35

Appendix A: Negative Vocabulary Profile of K-1 ... 35

Appendix B: Negative Vocabulary Profile of K-2 ... 36

Appendix C: Negative Vocabulary of K-3 or AWL words ... 40

Appendix D: Block Frequency Output of Off-List Words ... 43

Appendix E: Comparison of Chapter III vs. Chapter XI ... 216

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1

THE VOCABULARY PROFILE OF THE ENGLISH TEXTBOOK USED

IN THE 10

th

GRADE OF SATYA WACANA CHRISTIAN SENIOR HIGH

SCHOOL SALATIGA

Anestasia Yuliani

ABSTRACT

Vocabulary is the most important role in learning a target language. The

students who want to learn a language should understand the vocabulary as the

beginning step. However, students often face difficulties in reading material or

textbook because of the limitation of vocabulary knowledge. To minimize the

students‘ difficulties, the teachers need t

o profile the material or textbook which is

used so that they can determine appropriate vocabulary for the students. Since

vocabulary profile is needed, the research was conducted to profile the vocabulary

in the st

udents‘ textbook of the 10

th

grade of Satya Wacana Christian High

School, which shows negative vocabulary in the textbook, and to show the

number of words (token) recycling index of the textbook. This study used a

descriptive method. There was a selected textbook with fifteen chapters on it as a

sample of this study. The analysis used an electronic tool name the

Compleat

Lexical Tutor

which can be accessed at lextutor.ca. The findings showed the

cumulative percentage of the overall vocabulary profile in the textbook from K-1,

K-2, and AWL words (89.17%). The findings also showed the negative

vocabulary profile (words not found) based on the

New General Service

List

(NGSL) as much as 6.02% for K-1, 37.53% for K-2, and 43.23% for K-3.

Keyword:

Vocabulary, Vocabulary Profile, Compleat Lexical Tutor

INTRODUCTION

Vocabulary becomes the most important element that should be learnt in

language learning. This importance of vocabulary is shown in Wilkins (1972, as

c

ited in Thornbury, 2002) that ―w

ithout grammar very little can be conveyed,

without vocab

ulary nothing can be conveyed‖ (p.2). Because o

f that, many people

want to learn vocabulary of their target language to convey the language. In my

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Universitas Kristen Satya Wacana, I have to have sufficient knowledge of

vocabulary to understand the teaching and learning process in and out of the

classroom because I will understand the meaning that the other says especially

vocabulary of the target language (English). In learning English, the students do

not only learn about how to pronounce a word correctly and how to make a

sentence in a grammatical correct, but also that they have to learn vocabulary and

be able to apply it in a sentence well. That is the reason of vocabulary plays the

most important element for the students in making sentences that includes four

English skills (reading, listening, writing, and speaking). McCarthy (1990, as

cited in Carranza, et al., 2015) pointed out that ―no matter how well the students

learn grammar, no matter how successfully the sounds of L2 are mastered,

without word to express a wider range of meanings, communication in L2 cannot

just happen in any mean

ingful way‖ (p.49).

Therefore, the students are demanded

to increase their vocabulary knowledge.

In using this material, the students often face the difficulty. The most

common difficulty that the students faced is that the students feel confused in

understanding the meaning of the textbook because of their vocabulary limitation.

It is because the textbook has many academic words or unfamiliar words. It shows

that the students with insufficient of vocabulary in their target language will get

difficulty in learning the material or the textbook. According to Thornbury (2002)

the Second Language Learners who have limited word store can be confused to

determine which word is suitable for a sentence. However, to comprehend 95% of

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families (Nation, 1990). According to Nation (2001) learning occurs if at least

95% of the running words can be identified. The limitation of vocabulary

collections could affect the students‘ performance and their grade in the class. It

shows that vocabulary has an important role in the language learner

‘s successful.

Nation (1990) added that the students found many difficulties in comprehend both

of receptive and productive language use because of their inadequate vocabulary.

In order to minimize the students‘ difficulties, there are some ways to

solve it. One of them is using word list that is provided by vocabulary profile that

can be identified by Vocabulary Profiler. Vocabulary profiler is a computer

program to measure vocabulary production and vocabulary contained in course

materials that is developed by Tom Cobb (Astika, 2015). This program can be

used to determine the suitable vocabulary in teaching and learning process by

word frequency that appears in vocabulary profile.

In the previous study, Moris and Cobb (2004) examined the potential

offered by vocabulary profiles as predictors of academic performance in

undergraduate Teaching English as a Second Language (TESL). Moris and Cobb

showed that vocabulary profiles could make improvement to 122 TESL students

in analyzing the students writing. That study

also proved that the students‘

vocabulary profile correlated to their grade. Therefore, it is necessary to

investigate the use of vocabulary profile in textbook

Pathway to English

used in

Satya Wacana Christian High School Salatiga

.

Based on the background above, the research had the following questions:

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2.

What is the number of vocabulary that is not used in the textbook?

3.

What is the token (number of word) recycling index of the chapters in

the textbook?

The objectives of the research were:

a.

To profile the vocabulary of the textbook. The vocabulary profiles provide

useful information for teachers and students about the proportions of

vocabulary in each chapter and it‘s cumulative. It could help

teachers and

students in teaching and learning purposes. Teachers could make it as a

reference to select which vocabulary in the textbook have the highest

academic vocabulary for teaching purposes. Students could select the

vocabulary that was necessary for their level and they could increase their

vocabulary especially academic vocabulary.

b.

To show lists of vocabulary that are not used in the textbook. These words

were obtained from the comparison between the vocabulary in the New

General Service List (NGSL) and the vocabulary found in the textbook.

The lists would provide useful information for teachers and students about

the list of words that were not found in the textbook. They could select and

learn from those words in order to enrich their vocabulary.

c.

To produce the token (number of word) recycling index of the textbook. It

gives the information for the teachers and students about text

comprehensibility in the textbook.

This research could be useful for students and teachers because the teacher

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use the appropriate vocabulary to develop vocabulary learning for the

students. Besides that, the students can understand the meaning of material

used after the teachers use exact vocabulary for students.

LITERATURE REVIEW

Definition of Vocabulary

In order to teach and learn English, vocabulary is one of the most

important basic elements in foreign language or second language. According to

Schmitt, Schmitt, & Clapham, (2001) ―vocabulary as ‗the building block of

language‘ (p.53), is considered by some to be the single most important aspect of

foreign language learning" (Knight, 1994, as cited in Golkar & Yamini, 2007). In

another definition, Hubbard (1983, as cited in Ferreira, 2007) stated that

vocabulary can be defined as a ―powerful carrier on meaning‖ (p.11).

Diamond

and Gutlohn (2006, as cited in Ferreira, 2007) suggest that ―vocabulary is the

knowledge of words and their meanings‖. Therefore, vocabulary

has the important

role in learning a language because vocabulary is the beginning step before the

students understand the language deeply.

Types of Vocabulary

There are 2 types of vocabularies. They are receptive vocabulary and

productive vocabulary. Receptive vocabulary is knowledge of words that can be

learnt by listening and reading (Nation, 1990, pp. 31-33). Whereas, productive

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and writing after the learners comprehend the vocabulary (Nation 1990, pp.

31-33). Based on the definition of receptive vocabulary and productive vocabulary,

we know that vocabulary can support students in learning English to comprehend

more about the four English skills (listening, reading, speaking and writing).

The Importance of Vocabulary

Vocabulary has an important role in teaching and learning a language.

Vocabulary is a central part of a language (Coxhead, 2006). It means that every

learner who wants to learn the target language should learn vocabulary first.

Because more words, more meaning that students understand well, they can build

up the language or produce the language. Widdowson (1989) and McKeown

(2002) stated that vocabulary is the most important aspect in language learning,

because by the vocabulary knowledge, the students can build up the language.

Additionally, Barra (1995, as cited in Ferreira, 2007) stated that sufficient word

store of the students can help the students to understand the meaning of text.

These statements show that vocabulary can support the students to understand the

language more and the mastery of language can be measured by how many

vocabularies can be produced by the students. However, understanding a word is

not only about recognize it in the written form and the meaning of the words, but

how it can be applied in another four skills which are listening, speaking, reading,

and also writing (Saengpakdeejit, 2014). Similarly, Nation (2001) also stated that

learners cannot effectively learn to listen, speak, read, and write without the

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Vocabulary is very important in listening skill since it relates to our daily

life such as listen to the people, listen to the news, listen to the music, etc).

Listening is considered as the difficult skills in language learning because it can

cause problem if the listeners do not listen carefully about what is being said

(Coxhead, 2006). It is necessary

to activate learners‘ background knowledge

before starting to listen. In this point, learners may find difficulties in listening

and understanding about what information they heard because the limitation of

vocabulary knowledge (Coxhead, 2006). In order to gain reasonable

comprehension and be successful in guessing meaning of the context, learners

need at least 95 % of the running words in the input (Nation, 2001). It shows that

vocabulary plays

a big contribution in students‘ listening practice.

Besides listening, vocabulary is also important in speaking skill. Nation

(1990) defined that knowing a word also knowing its spelling, pronunciation,

collocations, that is words it co-occurs with, and appropriateness. According to

Coxhead (2006), learning vocabulary through speaking is a cyclical activity

because learners can use words in a creative way when they are speaking.

Coxhead added that take part in conversations, the learners should know many

words well. However, speaking is different from listening, reading, and writing

because learners should be able to use and produce the words to express their

ideas. Nation (2008) stated that 2000 words of English are best in developing

learners‘ spoken English and practice what they

want to say. Nation also added

the reasons why the learners may not be able to say what they want to say. Firstly,

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vocabulary, but they are unable to put the vocabulary into appropriate sentences.

It is very common to find learners who can read or write English very well but

they are difficult in producing spoken language.

Furthermore, not only listening and speaking that can contribute to

vocabulary development, but reading skill is also needed. Reading is a source of

learning and also a source of enjoyment (Nation, 2008). In addition, Nation noted

that reading can help learners to learn new vocabulary and grammar. According to

Fisher and Frey (2014), learners can add their vocabulary collection through

reading. Similarly, Coxhead (2006) stated that learning through reading is a

common way to acquire vocabulary, as long as the texts are appropriate in the

learners‘ level of understanding. Fisher and Frey also noted that

the learners who

read 1 hour per day and five days in a week, they will read more than 2,250,000

words per year. In order to understand the meaning of the words in the text,

learners need to know at least 95% up to 98% of the running words (Coxhead,

2006). Coxhead also noted that the more learners read, they will be better in

reading, and more vocabulary they will have. It shows that learners with more

vocabulary can read the texts well.

In additional, vocabulary is also needed in writing skill. It is different with

listening, speaking, and reading, writing includes spelling, the use of vocabularies

in sentences, and using words to signal the organization of written text (Nation,

2008). One of the main problems in writing is that the learners have to know the

use of vocabulary to help them in establishing the meaning and using the

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difficult for learners to have the correct meaning if they use words that they do not

know well. Like as Olmos (2009) stated that vocabulary is

―the basic tool for

shaping and transmitting meaning‖

(p.75), it means that more words learners

know, then more meaning that students recognize well. When writers know a lot

of words, they can compose more sophisticated documents (Fisher and Frey,

2014).

Teaching Vocabulary

Teaching vocabulary is not easy for the teachers. As Li and Zhang (2009)

stated that one of the major tasks of English teachers is to develop the students‘

vocabulary knowledge. However, each learner has different needs and preferences

like as Tomlinson (2000b) stated that

―Students who are the same age differ in

their readiness to learn, their interests, their styles of learning, their experiences,

and their life circumstances‖

(p. 1).

Therefore, it is very important for teachers to

know what vocabulary that learners need to focus on and what way they will teach

the vocabulary. Teachers need to guide and encourage the students to learn the

vocabulary and tell them that more vocabulary will bring the most benefits for

learning the target language (Nation, 2001). For instance, teachers need to know

the types of vocabulary that their learners need whether the vocabulary belongs to

1000 word list (K1), 1001-2000 word list (K2), Academic Word List (Coxhead,

2000), or others. In order to identify the vocabulary in a written text, teachers can

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for teachers to teach the vocabulary and decide which materials or textbooks are

suitable for the students.

On the other hand, the teachers need to consider what kind of learning is

required. If the students learn English in order to be able to read and understand

teachers‘ instruction, a receptive knowledge of vocabulary is

sufficient (Nation,

1990). A productive vocabulary around 3000 base words and a larger receptive

vocabulary are needed when learners need to cover the whole range of language

skills (Nation, 1990).

Learning Vocabulary

Vocabulary becomes important to be learnt since one of problem of

English learning is difficulties in understanding vocabulary. According to Hunt

and Beglar (2005) and Schmitt (2008), the problem that is often faced by students

in classroom is the students do not have an opportunity to use the vocabulary they

have learnt and produce it in a language because of the limited of time. This

problem can obstruct

the learners‘ developm

ent in producing language. Actually,

the students need to explore and practice the vocabulary that they have learnt so

that they can use a language skill appropriately, as (Eckerth & Tavakoli, 2012, as

cited in Astika, 2015) said that providing the students with extensive exposure to

both writing and listening can develop the students‘ comprehension tow

ard the

knowledge of vocabulary. Furthermore, according to Jusuf (2014), another

problem in learning vocabulary is that the teachers focus on grammar more rather

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knowledge. However, there are many strategies of learning vocabulary that can be

used by L2 learners in order to improve their vocabulary knowledge. One of them

is by reading a written text because it contains a lot of vocabularies that will help

the students to memorize it. According to Coxhead (2006), learning through

reading is a common way to acquire vocabulary, as long as the texts are

appropriate in the

students‘

level of understanding. In order to know the level of

vocabulary in a written text, learners need to examine the vocabulary by using

Vocabulary Profiler. Knowing Vocabulary Profile of a written text helps learners

to decide the most suitable material based on their own familiar words list.

Besides, Vocabulary Profile is also significant to help students to choose the

vocabulary learning (Ardyny, 2014).

Vocabulary Profiler

Since learners have different level of vocabulary knowledge, they have to

know which vocabularies are appropriate to them, which books are suitable to

them, and which levels they have to focus on. One of the ways to know

vocabulary level of a textbook is by profiling the vocabulary. Knowing

vocabulary profile in teaching and learning process is very useful for teacher and

students. It is because vocabulary profile can determine each level of word based

on the word frequency, such as first 1000 most frequent words (K1), the second

1000 most frequent words (K2), Academic Word List (AWL), and Off-List

Words. According to Da (2006) stated that ―vocabulary profiling is a measure of

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similar statement, Laufer and Nation (1995, as cited in Da, 2006) stated that

―vocabular

y profiling has also been suggested as a useful instrument in second

language acqu

isition research and pedagogy‖.

It shows that vocabulary profile has

an important role in understanding knowledge of vocabulary. The tool that can be

used to profile the vocabulary is called Vocabulary Profiler, which is a computer

program developed by Tom Cobb (Astika, 2015). According to Cobb (2010, as

cited

in Astika, 2015) ―V

ocabulary Profiler is used to determine word frequency

quickly‖ (p.216

). Similarly, according to Meara (2005), Vocabulary Profile or

Lexical Frequency Profile (LFP) is considered as a tool for assessing a particular

text whether it is appropriate to be used by the students at particular level or

proficiency. As the result, vocabulary profiles can help the teacher to pay attention

to what words should be used in certain level of students.

Most frequency words are the words most commonly found in any texts

(Cooper, 2002). According to Nation (2001), the 2000 most frequent word

families account 80% or more of the running words in any written or spoken text.

These words are needed in formal and informal uses of the language, in

conversation, in writing, in novels, newspapers, and academic texts. It means that

students should know and be familiar with these words so that they can use it in

the real life situation. Therefore, teachers should make sure that their students

have mastered these words before moving to the next level of vocabulary.

Similarly, Coxhead (2006) stated that learners who plan to study at the university

level should understand and be able to use high frequency words before they

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include function words such as

in, for, the, of, a,

and so on

and content words

such as

government, forests, production, adoption, represent, boundary

.

The next type is academic vocabulary which covers about 9% of the

running words in a particular text (Nation, 2001). According to Coxhead (2006),

these words found in most of academic texts. Coxhead also added that academic

vocabulary is important to be learnt for learners who plan to study at college. As

Nation and Newton (1997) suggested, academic vocabulary is for learners who

―intend to do academic study or wish to read newspapers‖ (p. 239)

. Coxhead

(2000) stated that by focusing on academic vocabulary, learners will get the

chance to make this significant vocabulary part of working knowledge of the

language and make learners‘ academic study more controllable.

The examples of

academic words which usually occurs in academic text or textbook are

analyze,

assess, concept, definition, establish, categories, seek

(Nation, 2001).

On the other hand, the technical words only occurs in frequently in

specialized texts and the coverage of text is about 5% of the running words

(Nation, 2001). Additionally, as Nation (2013, as cited in Read, 2014) stated that

the words are used in a particular discipline, profession, culture, sport, or other

special field. The examples of this type are

indigenous, regeneration, podocarp,

beech, rimu

(a New Zealand tree), and

timber

(Nation, 2001). The last type is

low-frequency words which considered as the most infrequently words. The words

may occur only once or twice in reading during a long period of time (Coxhead &

Nation, 2001) and usually learners can guess the meanings from the context

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country, social, culture, etc. In order to profile the vocabulary of a particular text,

we can use vocabulary tool developed by Cobb named

The Compleat Lexical

Tutor

which can be accessed at http://www.lextutor.ca.

Relevant Previous Studies

In a previous study, Yoon, Bhat, and Zechner (2012 ) did a research to

quantify the usage of vocabulary in terms of measures of lexical sophistication

based on the word lists. In collecting the data, researchers use qualitative and

quantitative methods. The researchers found that the test takers used a little of

vocabulary in the spoken responses. There are 29 features produced, and the

average word frequency achieved the best correlation with the scores of the test

takers. In general, it showed that vocabulary profile has an influence through the

students‘ score.

Morris and Cobb (2004) examined the potential offered by vocabulary

profiles as predictors of academic performance in undergraduate Teaching English

as a Second Language (TESL) programs. The researchers use quantitative and

qualitative method. The finding showed the correlations between elements of the

TESL studen

ts‘ vocabulary profiles and results in the grammar course of their

program of study. The highest correlation, found was between words on the

Academic Word List (AWL) and grades in the grammar course. Two other

significant correlations were found the 1000 most frequent (K1) and the grammar

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in academic writing. It also showed that vocabulary profile has a correlation with

academic grades and determining the levels of vocabulary used by the students.

The similarity of those 2 previous studies is that the vocabulary profile has

an effect to increase the score of the students. Whereas, the difference of those 2

previous study is that in the Yoon, Bhat, and Zechner (2012) finding, they

measure the impact of vocabulary profile based on the spoken responses and in

Morris and Cobb (2004) finding is measuring the impact vocabulary profile based

on grammar course. Therefore, it is also important to analyze the vocabulary

profile used in the textbook of Satya Wacana Christian High School since it has

not been analyzed yet.

THE STUDY

This study used descriptive method to identify the vocabulary profile of

English textbook used in Satya Wacana Senior High School. According to Rivera

(2007), descriptive method is used to identify the facts of the research which

involves the description, recording, analysis, and also the interpretation of what it

is about.

The textbook used was ‗Pathway to English‘ that wa

s published by

Erlangga. Descriptive method was used to examine the vocabulary profile of the

textbook whether they were included in first 1000 most frequent words (K1), the

second 1000 most frequent words (K2), Academic Word List (AWL), and

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Context of the Study

The study took place in Satya Wacana Christian High School Salatiga.

Satya Wacana Christian High School Salatiga is one private school in Salatiga.

The school is located at

Jl. Diponegoro, No. 52-60, Salatiga.

The researcher chose

Satya Wacana Christian High School Salatiga because this school is one of the

favorite senior high schools in Salatiga. Satya Wacana Christian High School

Salatiga has 2 program studies that are General Program and

Peminatan

Program.

In the General Program, all students should take English subject. Whereas, in

Peminatan

Program, only the students who like English and want to take

additional English meeting time should take additional English class.

Materials

The study used

‗Path Way to English‘ textbook for grade 10.

This book

has fifteen chapters with 311 pages. The selection of the textbook was based on

some reasons. First, tenth grade is a transition period from Junior High School to

Senior High School where the students have to enrich and improve the

vocabulary. Second, this book is a senior high school level. Third, this book is a

basic English book in first grade of the senior high school students. Fourth, this

book contains 4 skills of English, i.e. reading, listening, writing, and also

speaking, and the last is because the book provides some exercises to be finished

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Data Collection Instrument

The objective of this research was to profile

the vocabulary in ‗Pathway to

English‘ textbook used in Satya Wacana Christian High School. To achieve the

objective, the study used a tool called as

The Compleat Lexical Tutor, v. 4

. This

tool was an online vocabulary profiler that was developed by Tom Cobb in 1999

which could be accessed in www.lextutor.ca/vp. This program could calculate the

percentage of the first 1000 most frequent words (K1), the second 1000 most

frequent words (K2), Academic Word List (AWL), and Off-List Words.

Data Collection Procedures

In collecting the data,

the all pages of the textbook ‗Pathway to English‘

grade 10 were retyped in Microsoft Word. After retyping, the data were filed in

folders with different names. Thus, there were fifteen folders with a name of each

chapter and one folder for overall chapters. To identify the vocabulary profile, we

should open the vocabulary profile website in www.lexical.ca/vp. Then, click on

VP Clasic v.4 to access vocabulary profiler tool. After that, copy the text that

would be analyzed and paste it to the box provided in that tool. Then click

Submit-Window

under the box. The vocabulary profile of the text appeared

based on the classification and finally it could be saved in Microsoft Word by

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Data Analysis Procedures

The texts were copied and pasted in Vocabulary Profiler to be analyzed.

The

Compleat Lexical Tutor, v. 4

calculated the result automatically. The data

were grouped into the first 1000 most frequent words (K1), the second 1000 most

frequent words (K2), Academic Word List (AWL), and Off-List Words that is

uncategorized in those three groups.

FINDINGS AND DISCUSSIONS

This section presents the result of the study. The first part of this section

presents the overall vocabulary profile of the textbook. The second part shows the

negative vocabulary profiles of K-1, K-2, K-3 or AWL with the vocabulary lists

that were not found in the textbook. The third part discusses the comparison of

two chapters of textbook which shows significant difference. The comparison

found unique and shared words in the two chapters. The comparison also shows

the token recycling index that provides information that the textbook is

comprehensible.

In the Table 1 below, the first row shows three terms which are

family,

type,

and

token. Word family

is a head word, for example:

write

is the family or

the head word of the word

writing

and

wrote

.

Type

is the different words, for

example:

competency, comparative, committee,

etc. While

wrote, writing,

and

writes

are considered as the same

type

.

Token

is the total number of words in a

text. For example, if the text has word

teacher

[5]

, instruction

[7]

, carefully

[2]

,

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A.

Overall Vocabulary Profile of The Textbook

Table 1. Overall Vocabulary Profile of the Textbook

FREQUENCY

LEVEL

FAMILIES

(%)

TYPES

(%)

TOKENS

(%)

CUMULATIVE

%

K-1 WORDS

919

(49.33)

2039

(35.08)

38832

(79.12)

79.12

K-2 WORDS

618

(33.17)

957

(16.47)

3250

(6.62)

85.74

AWL WORDS

(ACADEMIC)

326

(17.50)

534

(9.19)

1684

(3.43)

89.17

OFF-LIST

WORDS

??

2291

(39.42)

5315

(10.83)

100.00

TOTAL

1863+?

5812

(100)

49081

(100)

≈100.00

Table 1 shows that over two-third of the vocabulary used in the textbook

falls under K-1 words. The additional K-2 words used was 6.62% and 3.43% of

AWL words. The cumulative percentage of K-1, K-2, and AWL words was

89.17%, which can be deemed to be a difficult reading material because it is still

quiet far of the minimum percentage for good comprehension of the text.

According to Nation (2001), students should know at least 95% of the running

words in a text for comprehension. As shown in the Table 1, the numbers of

academic words were 1684 words. Academic words are those words which are

commonly used in most academic texts, which are necessary for college students.

(28)

20

or 10.83%. Off-list words are those words that were not included in three

categories (K-1, K-2, and AWL words). Although off-list words are used

infrequently in a text, those words should not be ignored in teaching and learning

process because it may contain the words that students at this level need to learn.

B.

Negative Vocabulary Profile of the Textbook

The following section shows the description of negative vocabulary

profiles of the sample textbook. Negative vocabulary is word items that are not

found in the textbook. These unavailable words can be found from differences of

words in the New General Service List (NGSL) and words used in the textbook

used in the study. These word lists below are useful for teachers in selecting

vocabulary items that may be necessary to increase the students

vocabulary.

1.

Negative Vocabulary Profile of K-1

This part of analysis shows all the head words or word families from K-1

levels that were not found in the sample textbook. Table 2 below presents the

summary of negative vocabulary profile for K-1 level.

Table 2. Negative Vocabulary Profile of K-1

K-1 Total word families: 964

K-1 families in input: 907 (94.09%)

(29)

21

As shown in the summary, as much as 94.09% of words families were

found in the textbook, while 6.02% of word families were missing based on the

words which are listed in New General Service List (NGSL). The words list

below are example of some word families that were not found in the input

textbook (

The Differentiated Classroom

). The complete word list has been

attached in Appendix A.

ACCOUNTABLE

ADVENTURE

AFFAIR

ARISE

BROAD

CAPTAIN

CASTLE

CHIEF

CHURCH

CLAIM

COIN

COLLEGE

COMMITTEE

CORN

DEFEAT

DISTINGUISH

EFFICIENT

ELECT

ELEVEN

ENEMY

FELLOW

FISH

FIX

HILL

2.

Negative Vocabulary Profile of K-2

The second part of this analysis shows the negative vocabulary profile of

K-2 or the word families that were not found in the input textbook. The summary

of vocabulary profile of K-2 can be seen in Table 3 below.

Table 3. Negative Vocabulary Profile of K-2

K-2 Total word families: 986

K-2 families in input: 617 (62.58%)

(30)

22

As can be seen from the Table 3, the percentages of word families 62.58%

were found in the input textbook, while the rest 37.53% of word families were not

found based on the words listed in New General Service List (NGSL). Below are

some examples of word families of K-2 that were missing in the textbook. The

complete word list has been attached in Appendix B.

ABSOLUTE

ABSOLUTELY

ACCUSE

ACHE

AEROPLANE

AFFORD

AMBITION

ANGLE

ANXIETY

APOLOGIZE

APPLAUD

APPLAUSE

APPROVE

ARCH

ARREST

ARTIFICIAL

ASHAMED

ASTONISH

AVENUE

AWAKE

AWKWARD

AXE

BAGGAGE

BARBER

BARE

BARREL

BASIN

BASKET

3.

Negative Vocabulary Profile of K-3 or AWL words

This analysis presents the missing word families from the K-3 level in the

textbook. Table 4 below presents the summary of negative vocabulary profile of

K-3 level. The percentages do not refer to tokens or number of words but rather

number of word families. As can be seen in the Table 4, as much as 68.01 % of

word families were found in the input textbook, which means that 32.16 % of

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23

Table 4. Negative Vocabulary Profile of K-3

K-2 Total word families: 569

K-2 families in input: 324 (56.94%)

K-2 families not in input: 246 (43.23%)

Below are some examples of word families which cannot be found in the

textbook. The complete words list can be seen in Appendix C.

ABSTRACT

ACADEMY ACCUMULATE ACKNOWLEDGE

ACQUIRE

ADEQUATE ADJUST

ADMINISTRATE

ADVOCATE

AGGREGATE ALBEIT

ALLOCATE

ALTER

AMBIGUOUS AMEND

ANALOGY

ANTICIPATE

APPARENT APPEND

ARBITRARY

ASSESS

ASSURE

ATTAIN

BEHALF

C.

Block Frequency Output of Off-List Words

The next section discusses the off-list words or the words that are not

listed under the three frequency categories. This list of words may be useful for

teachers in facilitating them to teaching the students. In other words, teachers may

select words from the list that are relevant to the students at the university level.

Below is the list of ‗Off

-

list‘ words, with 2739 tokens and 1182 types. As note

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24

cumulative, and the last column is the vocabulary item. The complete version of

blocked frequency can be seen in the Appendix D.

Table 5. Block Frequency Output of Off-List Words

RANK FREQ

COVERAGE

individ cumulative

WORD

1.

3167 6.28%

6.28%

THE

2.

1399 2.77%

9.05%

TO

3.

1264 2.51%

11.56%

A

4.

1073 2.13%

13.69%

OF

5.

1029 2.04%

15.73%

AND

6.

927

1.84%

17.57%

IN

7.

883

1.75%

19.32%

YOU

8.

729

1.44%

20.76%

IS

9.

442

0.88%

21.64%

IT

10.

440

0.87%

22.51%

I

11.

367

0.73%

23.24%

FOR

12.

361

0.72%

23.96%

YOUR

13.

353

0.70%

24.66%

THAT

14.

351

0.70%

25.36%

WHAT

15.

348

0.69%

26.05%

WITH

16.

309

0.61%

26.66%

BE

17.

297

0.59%

27.25%

DO

18.

292

0.58%

27.83%

ARE

19.

292

0.58%

28.41%

NOMBRE

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25

D.

Comparison of Vocabulary Profile Across Chapters

This part compares the frequency of K-1, K-2, AWL and Off-list across

the chapters in the textbook. Table 6 below shows the percentages of each

frequency level and its descriptions.

Table 6. Comparison of Vocabulary Profile across Chapters

(34)

K-1-26

As seen in the Table 6, it shows that the differences of K-1 and K-2 across

the chapters were not very significant. In other words, the compositions of

vocabulary in every frequency level were relatively the same. However, there

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27

Chapter II, VI, X, XI, and XIII. Teacher have to consider the AWL words in these

chapters in teaching, since those words are often used in academic texts, the

students may find difficulties in understanding the book.

E.

Text Comparison Across Chapters in the Textbook:

Comparison of Chapter III vs. Chapter XI

The last part of the findings presents the comparison between two

chapters. In the Chapter III and Chapter XI

show significant difference in the

percentage of K-1 words and AWL words. The comparison presents the token

recycling index of the chapters which are compared. Recycling index is the ratio

between words that are shared by two chapters and the newest words found in the

second chapter. This index provides the information that may be useful for the

teachers about what words are similar or shared by both chapters and what new or

unique words in the second chapter. For teaching purposes, it is necessary for

teachers to be aware and pay attention to those words that are unique in the second

chapter. The analysis of comparison shows that the token recycling index was

63.08%. It is indicating that as much as 63.08% of words in Chapter III and

Chapter XI were similar, while as much as 36.92% (100-63.08%) of the words

were new or unique in Chapter XI. Both of shared or unique words are presented

(36)

28

Table 7. Token Recycling Index of Chapter III and Chapter XI

TOKEN Recycling Index: (2648 repeated tokens: 4198 tokens in new text)

= 63.08%

FAMILIES Recycling Index: (266 repeated families: 880 families in new text)

= 30.23%

Table 7. Shared and Unique words in Chapter III and Chapter XI.

Unique to first

544 tokens

(37)

29

Comparison of Chapter VIII vs. Chapter XIII

The second comparison is between Chapter VIII and Chapter XIII. These

two chapters also show significant difference in the percentage of K-1 words and

AWL words. Based on the finding, the token recycling index was 73.02%. This

percentage shows that as much as 73.02% of words in Chapter VIII

and Chapter

XIII

were similar or shared. Thus, unique or new words in Chapter VIII

and

Chapter XIII

are 26.98% (100-73.02%). Both of shared and unique words are

presented in the Table 8 below. The complete table has been put in Appendix F.

Table 8. Token Recycling Index of Chapter VIII and Chapter XIII

TOKEN Recycling Index: (2052 repeated tokens: 2810 tokens in new text) =

73.02%

FAMILIES Recycling Index: (355 repeated families: 711 families in new text) =

49.93%

Table 8. Shared and Unique words in Chapter VIII and Chapter XIII.

Unique to first

2663 tokens

1062 families

001. story 75

002. day 32

003. garbage 30

004. jody 30

005. hughie 23

006. could 22

Shared

2052 tokens

355 families

001. the 240

002. be 129

003. and 89

004. of 84

005. a 62

006. to 60

Unique to second

758 tokens

356 families

Freq first

(then alpha)

001. merapi 24

002. sumatra 19

003. mount 17

VP novel items

Same list

Alpha first

(38)

30

007. every 22

008. mathilde 18

009. before 17

010. girl 17

011. job 16

012. room 16

013. alan 15

014. beauty 15

015. marry 15

016. bisma 14

017. love 14

018. next 13

019. mister 12

020. rise 12

007. in 48

008. it 39

009. text 31

010. you 30

011. what 29

012. about

26

013.

describe 24

014. do 22

015. i 22

016. use 22

017. both 21

018. with 21

019. explain

20

020. how 20

004. subject 14

005. volcano 14

006. erupt 13

007. occur 13

008. + 12

009. earthquake

11

010. brawl 10

011. chip 9

012. noun 9

013. pulp 9

014.

speci#number 9

015. neither 8

016. hospital 7

017. juvenile 7

018. verb 7

019. active 6

020. delinquent 6

004. #number;nd 3

005. #number;nished 1

006. #number;nishing 1

007. #number;ooding 1

008. #number;ora 2

009. + 12

010. above 2

011. according 1

012. active 6

013. adjective 3

014. administrative 1

015. advertise 1

016. affect 1

017. affiliate 1

018. allege 1

019. alternative 1

020. aluminium 1

CONCLUSION

The main purpose of this study was to profile the vocabulary which is used

in the students‘ textbook of Satya

Wacana Senior High School in the 10

th

grade.

The research showed that the overall vocabulary used in the textbook could be

considered as a difficult reading material. The cumulative percentage of K-1, K-2,

and AWL words was 89.17%, which is still quiet far of the require percentage for

a good comprehension of the text in the book. Based on Nation (2001) an

understanding at least 95% of the running words in a text are needed for

comprehension. According to this finding, teachers should consider the textbook

which is suitable for the students‘ level.

Another finding showed the negative

(39)

31

General Service List (NGSL), as much as 6.02% of K-1 word families were not

found in the textbook and the percentage of missing words in K-2 was 37.53%

which was lower than the words found in the textbook (62.58%). While K-3 had

43.23% of word families were not found in the textbook. The list of negative

vocabulary should not be ignored because it may be useful for teachers or students

for teaching and learning purposes since it may contains the new words that were

not found in the textbook. The last finding showed the significant difference of the

words frequency level across chapters which has two part comparisons, they are

chapter three and chapter eleven, also chapter eight and chapter eighteen. The

difference was displayed using

Token Recycling Index

which showed the unique

or newest words that found in the second chapter, and shared words of both

chapters.

However, this study still has limitation which is only profile one education

textbook. There are still many textbooks that have not been analyzed. Therefore, a

(40)

32

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Indonesian Journal of Applied Linguistics, 4

(2),

257-266.

Carranza et al. (2015). Vocabulary learning strategies used by teacher education

students.

Asia Pacific Journal of Multidisciplinary Research, 3

(2),

p. 49.

Coxhead, A. (2006).

Essentials of teaching academic vocabulary English for

academic success

. Massey University: New Zealand.

Da, J. (2006).

A web-based vocabulary profiler for Chinese language teaching

and research

. Website:

http://www.chinese-forums.com/vocabulary/.

Ferreira, L. H. F. (2007).

How to teach vocabulary effectively: An analysis of the

course book Eyes and Spies

.

Fisher, D. & Frey, N. (2014). Content area vocabulary learning.

The Reading

Teacher, 67

(8), 594-599.

Golkar, M., & Yamini, M. (2007). Vocabulary, proficiency, and reading

comprehension.

The Reading Matrix, 7

(3), p. 88.

Meara, P. (2005). Lexical frequency profiles: A Monte Carlo Analysis.

Applied

Linguistics, 26

(1), 32-47.

Morris, L., & Cobb, T. (2004). Vocabulary profile as a predictors of the academic

performance of teaching English as a second language trainees.

Elsevier: System 32

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,

75-87.

Nation, I. S. P. (1990).

Teaching and learning vocabulary: Should vocabulary be

taught?

Heinle & Heinle.

Nation, I. S. (2001).

Learning Vocabulary in Another Language

. Cambridge:

Cambridge University Press.

Nation, P. & Newton, J. (1997).

Teaching vocabulary

. In Coady, J. & Huckin, T.

(Eds.), Second language vocabulary acquisition. New York:

Cambridge University Press. pp. 238-254.

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Olmos, C. (2009). An Assessment of the Vocabulary Knowledge of Students in

the Final Year of Secondary Education. Is Their Vocabulary

Extensive Enough?

International Journal of English Studies

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9

(3),73-90.

Rivera, M. M., & Rivera, R. (2007). Practical and guide to thesis and dissertation

writing (revised edition).

Saengpakdeejit, R. (2014). Strategies for Dealing with Vocabulary Learning

Problems by Thai University Students.

Thornbury, S. (2008).

How to teach vocabulary: How words are learned.

Pearson: Longman, 2-11.

Tomlinson, C. A. (2000b). Reconcilable differences? Standards-based teaching

and differentiation.

Educational Leadership, 58

(1), 1-7.

Yoon, S. Y., Bhat, S., & Zechner, K. (2012). Vocabulary profile as a measure of

vocabulary sophistication. In

Proceedings of the Seventh Workshop

on Building Educational Applications Using NLP

(pp. 180-189).

(42)

34

ACKNOWLEDGEMENT

My deepest gratitude would go to Jesus Christ for His guidance and

blessing. I also would say thank you to my thesis supervisor Mrs. Anne Indrayanti

Timotius who was abundantly helpful and offered invaluable assistance and

guidance. My gratitude also would go to my thesis examiner Mr. Gusti Astika

who has kindly revised and given meaningful revisions. My gratitude and love

will also for my beloved family especially for my parents who always support and

give me strength

and also for Johanes Suwandi‘s family who always takes care of

me until I can finish my study. Thanks to my beloved friends especially Natanael,

Aprilia, Lusiana, Agustiana and Widya who always be good listeners and

encourage me to finish my thesis as soon as possible and I am very grateful of

having this friendship. Finally, thank you for all people who I cannot mention one

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35

APPENDICES

1.

Appendix A

ACCOUNTABLE ADVENTURE AFFAIR ARISE

BROAD CAPTAIN CASTLE CHIEF

CHURCH CLAIM COIN COLLEGE

COMMITTEE CORN DEFEAT DISTINGUISH

EFFICIENT ELECT ELEVEN ENEMY

FELLOW FISH FIX HILL

HONOUR JOINT LADY LAUGHTER

LORD MERE MINISTER MOREOVER

MOTOR NECESSITY NUMERICAL OTHERWISE

OUGHT PRESS PROFIT PROOF

PROVISION PULL QUANTITY RATE

ROYAL SALT SENSITIVE SETTLE

SHOOT SPOT STEEL STOCK

THIRTEEN TRADE VALLEY VIRTUE

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36

2.

Appendix B

ABSOLUTE ABSOLUTELY ACCUSE ACHE

AEROPLANE AFFORD AMBITION ANGLE

ANXIETY APOLOGIZE APPLAUD APPLAUSE

APPROVE ARCH ARREST ARTIFICIAL

ASHAMED ASTONISH AVENUE AWAKE

AWKWARD AXE BAGGAGE BARBER

BARE BARREL BASIN BASKET

BATHE BEAK BEAM BEAN

BEAST BEND BERRY BLADE

BLIND BOAST BONE BOUND

BOW BOWL BRIBE BRICK

BROADCAST BRUSH BUNDLE BURIAL

BUTTER CAGE CALCULATE CAPE

CARRIAGE CAUTION CAVE CENTIMETRE

CHALK CHEESE CIVILISE CLAY

COARSE COMPANION COMPETE CONFIDENCE

CONQUER CONSCIENCE COPPER CORK

COUSIN COWARD CRACK CREAM

CREATURE CREEP CROP CRUEL

CRUSH CULTIVATE CURL CURSE

CURTAIN CURVE CUSHION DAMP

DARE DECAY DECEIVE DEED

DEER DEFEND DESCEND DESERVE

DESPAIR DEVIL DIG DIP

DISCIPLINE DISH DISMISS DITCH

DONKEY DOT DRAWER DRUM

DUCK DULL DUST EASE

ELASTIC ELDER ELECTRIC ELEPHANT

(45)

37

FAN FEAST FEMALE FENCE

FINGER FIRM FLAME FLAVOUR

FLOAT FOLD FOOL FORBID

FORGIVE FORK FRAME FRIGHT

FUR GALLON GAP GARAGE

GAY GRACE GRAIN GRAM

GRAVE GREASE GREED GUILTY

GUN HANDKER CHIEF HARM

HINDER HIRE HOLLOW HOLY

HOOK HORIZON HOST HURRAH

IDLE IMMENSE INFORMALLY INN

INSULT INSURE INTERFERE INTERRUPT

INWARD JOKE KICK KITCHEN

KNEE KNEEL KNIFE KNOT

LAMP LEAF LEAN LID

LIMB LIQUID LITRE LOAF

LODGING LOOSE LUMP LUNG

MAP MAT MEANTIME MEND

MERCHANT MERCY MERRY MILD

MILLIGRAM MILLILITRE MILLIMETRE MODERATE

MODEST MUD NAIL NEEDLE

NET NONSENSE NOON NURSE

NUT OAR OFFEND OMIT

OPPOSITE ORGAN PALE PARCEL

PARDON PASSENGER PATRIOTIC PAUSE

PAW PEARL PECULIAR PERMANENT

PIG PIGEON PILE PIN

PINCH PINT PIPE PLASTER

(46)

38

POWDER PRAISE PREACH PREJUDICE

PRETEND PRIEST PROCESSION PROGRAMME

PROMPT PUNCTUAL PUNISH PURE

PURPLE QUART RABBIT RAKE

RAT RAW RAZOR REFRESH

REGRET REMEDY REPRODUCE REPUTATION

RESIGN RESIST REVENGE REVIEW

REWARD RIBBON RID RIPE

RIVAL ROAST ROD ROOT

ROPE RUBBER RUDE RUG

RUST SADDLE SAMPLE SAUCE

SAUCER SAWS SCATTER SCENT

SCISSORS SCORN SCRAPE SCREW

SEED SEVERE SEW SHADE

SHAVE SHEET SHELL SHIELD

SHILLING SHUT SKIRT SLAVE

SLIGHT SNAKE SOIL SOLEMN

SORE SOUP SOW SPADE

SPARE SPOON STAIN STAMP

STEADY STEER STIR STOCKING

STOMACH STOVE STRAP STRAW

STRIP STRIPE SUCK SUPPER

SUSPICION SWELL SWING TAILOR

TAP TELEGRAPH TEMPER TEMPT

TENT THIRST THORN THREAD

THROAT THUMB TIDY TIGHT

TOBACCO TOE TONGUE TOUGH

TOY TRACK TRANSLATE TRAP

TRAY TREMBLE TRIBE TRUNK

TUBE TUNE TWIST UNIVERSE

(47)

39

VOYAGE WAIST WANDER WAX

WEAK WEAPON WEED WHEAT

WHIP WINE WORM WORSHIP

(48)

40

3.

Appendix C

ABSTRACT ACADEMY ACCUMULATE ACKNOWLEDGE

ACQUIRE ADEQUATE ADJUST ADMINISTRATE

ADVOCATE AGGREGATE ALBEIT ALLOCATE

ALTER AMBIGUOUS AMEND ANALOGY

ANTICIPATE APPARENT APPEND ARBITRARY

ASSESS ASSURE ATTAIN BEHALF

BIAS BULK CHAPTER CHEMICAL

CITE CIVIL CLARIFY CLASSIC

COHERENT COLLAPSE COMMENCE COMMISSION

COMMODITY COMPATIBLE COMPILE COMPLEMENT

COMPOUND COMPREHENSIVE CONCURRENT CONFINE

CONFIRM CONFORM CONSENT CONSIDERABLE

CONSTITUTE CONSTRAIN CONTEMPORARY CONTRACT

CONTRADICT CONTRARY CONTROVERSY CONVERSE

CONVERT CORE CRITERIA CRUCIAL

CURRENCY DEBATE DEDUCE DENOTE

DENY DEPRESS DERIVE DESPITE

DETECT DEVIATE DEVOTE DIFFERENTIATE

DISCRETE DISCRIMINATE DISPLAY DISPOSE

DISTORT DOMAIN DOMESTIC DYNAMIC

ELIMINATE EMERGE EMPIRICAL ENCOUNTER

ENHANCE ENSURE ENTITY EQUATE

ERODE ESTATE ETHIC ETHNIC

EVOLVE EXPLICIT EXPLOIT EXPORT

FACTOR FEDERAL FILE FINITE

FLEXIBLE FLUCTUATE FORMULA FORTHCOMING

FRAMEWORK FUNDAMENTAL GENDER GRANT

GUARANTEE GUIDELINE HIERARCHY HIGHLIGHT

(49)

41

IMPLICIT IMPOSE INCENTIVE INCLINE

INCOME INCORPORATE INDEX INDUCE

INEVITABLE INHERENT INHIBIT INNOVATE

INSIGHT INSPECT INSTANCE INTEGRAL

INTEGRITY INTERMEDIATE INTERNAL INTERPRET

INTERVENE INTRINSIC ISOLATE JUSTIFY

LAYER LEGISLATE LEVY LIBERAL

LICENCE LIKEWISE MANUAL MARGIN

MATURE MECHANISM MEDIATE MIGRATE

MINIMAL MINIMISE MONITOR NETWORK

NEUTRAL NEVERTHELESS NONETHELESS NORM

NOTION NOTWITHSTANDING ODD OFFSET

ONGOING OUTPUT OVERLAP PANEL

PARADIGM PARAMETER PERCEIVE PERCENT

PERSIST PERSPECTIVE PHASE PHILOSOPHY

PLUS POLICY PORTION POSE

PRACTITIONER PREDOMINANT PRESUME PRIORITY

PROFESSIONAL PROHIBIT PROPORTION PROTOCOL

PUBLICATION PURSUE QUALITATIVE RADICAL

RANDOM RATIO RATIONAL REFINE

REGIME REGULATE REINFORCE RELAX

RELEVANT RELUCTANCE RELY RESTRAIN

RESTRICT RETAIN REVENUE REVERSE

RIGID SCOPE SEX SIMULATE

SO-CALLED SOLE SPECIFY SPHERE

STABLE STATISTIC STRAIGHTFORWARD SUBMIT

SUBORDINATE SUBSIDY SUM SUPPLEMENT

(50)

42

THEREBY THESIS TRACE TRANSFORM

TRANSMIT TREND ULTIMATE UNDERLIE

UNDERTAKE UNIFY UNIQUE UTILISE

VALID VIRTUAL VISION WHEREAS

Gambar

Table 1 shows that over two-third of the vocabulary used in the textbook
Table 2. Negative Vocabulary Profile of K-1
Table 3. Negative Vocabulary Profile of K-2
Table 4. Negative Vocabulary Profile of K-3
+7

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