CHAPTER III: RESEARCH METHODS
B. Data and Source of Data
In this research, the main source of data was an English textbook entitled “Passport to the World” for 8th Grade of Junior High School. This English textbook was published by 3 Serangkai. The writers are Prof. Dr.
Djatmika, M.A., Agus D. Priyanto, S.S., M.CALL., and Ida Kusuma Dewi, S.S., M.A. The data of this research were the reading materials in the textbook, there are nine chapters in the textbook and only six chapters that would be analyzed, three chapters were not analyzed because there was no reading material. Six chapters that would be analyzed consist of 17 reading texts.
C. Technique of Data Collection
The researcher used document analysis to collect the data. According to Ary, “Document analysis can be of written or text-based artifact (textbooks, novels, journals, meeting minutes, etc) or of non-written records (photographs, audiotapes, videotapes, image, etc)”.44 This research applied document analysis because the data were in form of document or written text. The data collection of this research was taken from a textbook.
The textbook which was analyzed was an English textbook for 8th Grade of Junior High School entitled “Passport to the World”. There were some steps used by the researcher in collecting the data. The first step was collecting the data by buying the textbook. After word, The researcher read and reread the textbook repeatedly and carefully, then found the important
44Ary et.al, Introduction to research, 442.
detail from all reading material in the textbook. The next step was separating the reading materials that are relevant to the research into an analysis table. In conclusion, this textbook had nine chapters and only six chapters were analyzed by the researcher because there were no reading materials in the other chapters. Six chapters in the textbook consist of 17 reading materials.
The last step was analyzing all the data gotten from the textbook that was relevant to this research into analysis table.
D. Technique of Data Analysis
In this study, the researcher used content analysis based on the theory of Donal Ary et, al, to analyze the data. There were some steps used, to analyze the data. Those would be explained below.45
1. Familiarizing and Organizing a. Familiarizing
The researcher must be immersed in the data. In this step, the researcher read and reread the all reading materials that had been chosen by the researcher to be analyzed. Some reading materials that had been chosen by the researcher were all reading materials represented in the textbook.
b. Organizing
In this research, the researcher read again the text of the reading material in each chapter, in order to know how many reading materials would be analyzed in each chapter and this step made the researcher
45Ary, 482.
easy to analyze. In addition, in order the researcher easier to analyze the genres of reading material in the textbook, the researcher wrote the title of the reading material in the form of a paper, after that the researcher matched up with the genres of reading material that purposed by Curriculum 2013.
Hence, to analyze the lexical density the researcher rewrites the reading text in the form of papers on Ms word and printed up, in order the researcher easier to analyze the lexical density when the researcher would give the code to know the proportion of lexical density in each reading text.
2. Coding and Reducing a. Coding
Coding is a step that the researcher reads again the data that had been organized. Then, the researcher gave the code for every data that would be analyzed. The researcher gave remarks to the data of reading materials that had been printed by using pen color to know what genre from the reading materials that suitable with the genre suggested by Curriculum 2013. Besides, for the lexical density analysis, the researcher used the technique of marking kinds of content words and grammatical function words in the sentences. The content words were marked in green color and grammatical function words were marked in underline.
While each indicator of the content word was marked:
Noun: n Adjective: adj
Verb: v Adverb: adv
Another side the indicator of grammatical function word was marked:
Preposition = 1 Auxiliary verb = 3 Pronoun = 2 Conjunction = 4 b. Reducing
In this step, the researcher made the data shorts by giving an underline to the data that indicated the genre of reading material in the textbook. The researcher remarked the data that indicate the genre of reading material purposed by Curriculum 2013 and reduce the data that were not included in this research. Afterward, the researcher determined the proportion of lexical density of the reading material in the textbook.
3. Interpreting and Representing a. Interpreting
In this step, the researcher restated the data that show the proportion of lexical density, and the genre of reading material in the textbook which has been purposed by curriculum 2013 for the second grade of junior high school.
b. Representing
Here, the researcher represented the finding that had been analyzed. The researcher represented the finding through descriptive
detail and table analysis, where it makes the researcher easier to represent the data.
E. Validity of Data
The researcher used triangulation to test the validity of the data.
“Triangulation is a powerful way of demonstrating concurrent validity, particularly in qualitative research”46. In this research, the researcher used investigator triangulation. According to Ary, et al, investigator triangulation involves having multiple researchers collect data independently and compare the collected data.47 The investigators of this research were, the researcher, the teacher of English subject, and English lecturer that expert in reading subject. However, there were some steps done by the researcher in validating the data. The first time, the researcher analyzed the data individually. Then, the researcher met and discussed with one of the English lecturers as the validator of this research. On another day, the researcher met and discussed with the teacher of English subject as the second validator. After that, the researcher read and reread all of the results of the analysis data from validators. In the next step, the researcher checked and compared all of the results. The last step was taking the minimum divergences data among researcher and validators to validate data in this research.
46Louis cohen, et al, Research Methods In Education, (New York: Routledge, 2007), 141.
47Ary, et al. Introduction to Research in Education, 499.
CHAPTER IV
FINDINGS AND DISCUSSION
In this chapter, the researcher presented the findings of the research and discussion.
A. Findings
In this section, the researcher presented the data finding of research focusses. It included the analysis genre of reading material in the textbook based on Curriculum 2013 and the lexical density of the reading material.
The following are the list of reading text titles analyzed for the data of the study:
Table 4.1
Main Reading Textin “Passport to the World” English Textbook for 8thGrade of Junior High School Based on Curriculum 2013
Text Title Chapter
1. Bazaar and Festival 4
2. Two Rabbits 5
3. Scenery of Kenya 5
4. My Pet Cat 5
5. My Country 5
6. Ondel–Ondel 5
7. My School 5
8. Rina’s Activity 6
9. Sarita is a Young Blogger 6
10. Uncle Martin 6
11. Two Bags 7
12. Siska 7
13. Dina Won the Match! 8
14. A Trip to Borobudur 8
15. Cinema 8
16. Mother’s Day 9
17. Diving in Bunaken Island Rewund 9
1. The Genre of Reading Material in the “Passport to the World”
English Textbook for 8th Grade of Junior High School purposed by Curriculum 2013
From all reading texts above, the researcher classified the genre of the reading text as can be seen below:
Table 4.2
Genres of the Text in Each Chapter in the Textbook
Text Title of Reading Text chapter Page Genre
1. Bazaar and Festival 4 91 Announcement Text
2. Two Rabbits 5 115 Descriptive Text
3. Scenery of Kenya 5 117 Descriptive Text
4. My Pet Cat 5 120 Descriptive Text
5. My Country 5 121 Descriptive Text
6. Ondel–Ondel 5 126 Descriptive Text
7. My School 5 128 Descriptive Text
8. Rina’s Activity 6 138 Descriptive Text
9. Sarita is a Young Blogger 6 144-145 Descriptive Text
10. Uncle Martin 6 151 Descriptive Text
11. Two Bags 7 169-170 Descriptive Text
12. Siska 7 180 Descriptive Text
13. Dina Won the Match! 8 198-199 Recount Text
14. A Trip to Borobudur 8 205-206 Recount Text
15. Cinema 8 209 Recount Text
16. Mother’s Day 9 237 Announcement Text
17. Diving in Bunaken Island Rewund 9 237 Recount Text
Thus, it can be seen the total genre of each reading material are:
Table 4.3
Total Genre of Reading Material in the Textbook
No Genre Chapter Page Total
1. Announcement Text 4 and 9 91 and 237 2
2. Descriptive Text 5, 6 and 7 115, 117, 120, 121, 126, 128, 138, 144-145, 151, 169-170 and 180
11
3. Recount Text 8 and 9 198-199, 205-206, 209 and 237 4
4. Narrative Text - - -
5. Procedure Text - - -
Based on the table above, there were three genres of reading material found in the English Textbook. The dominant was descriptive text, then continued by recount text and the last was the announcement text. Those genres of reading material are reading material provided by curriculum 2013. Unfortunately, this textbook did not provide two genres that were narrative text and procedure text that also suggested by Curriculum 2013.
2. Lexical Density of Reading Material in the “Passport to the World”
English Textbook for 8th Grade of Junior High School Based on Curriculum 2013
The lexical density in this study was measured by counting the number of content words as a percentage of the total number of words from each reading text. The researcher used the technique of marking content words and grammatical function words in the sentences. The content words were marked in green color and grammatical function words were marked in underline.
Text 1: Page 91
Bazar and Festival HiJuniors!adj
The 17th Augustnis3 coming.v We2're3 havingv a bazaarnand4 a festivaln commemoratingv our2 countryn anniversaryn at1 the schooln yardnnextadj weekn.Would3 your2 classnlikev to1 joinvthe bazaarn? If4 you2dov, then4comev and4seevthe committeento1 registerv your2 classn and4getvone2both2in1the bazaarn. If4you2onlyadvwantvto1comevfor4 the bazaarn and4 festivaln as4 shoppers,n pleaseadv gov and4 enjoyv it2.
The bazaarn and4 festivaln will be3 one weekn from1 11th to1 17th of1 Augustnstartingvat109.00 to116.00.Gofor4the bazaarnand4getvfunn as well asadvprizesnin1it2! All2are3welcome.adj
Thankvyou2. The Committeen
Table 4.4
Summary Types of Words from Text 1
Types of Words Part of Speech Total
Content Words
1. Noun 24
2. Verb 18
3. Adjective 3
4. Adverb 3
Total 48
Grammatical Function Words
1. Preposition 11
2. Pronoun 12
3. Auxiliary Verb 5
4. Conjunction 13
Total 41
Based on the table above, text 1 contained 48 content words which were comprised of 24 nouns, 19 verbs, 2 adjectives, and 3 adverbs. On the other side, it was contained 41 grammatical which were comprised of 11 prepositions, 12 pronouns, 5 auxiliary verbs, and 13 conjunctions.
To count the proportion of lexical density the researcher employed Ure’sformula, as follows:
Lexical Density =
( )x 100%
Lexical Density = ×100%
Lexical Density = ×100%
Lexical Density = 53,93%
Based on the result above, text 1 had 53,93% lexical density.
According to Ure’s qualification of lexical density, it was indicated
medium lexical density, which was the content of the text was quite easy to be understood.
Text 2: Page 115
Two Rabbits
I2 havev two cuteadj littleadj rabbitsn. Both of2 them2 are3 pureadj whiteadjin1colourn.I2have3namedvthem2Bunnynand4 Bettyn. Bunnyn is3 the maleadjrabbitnand4Battynis3 the femaleadjone.2They2are3 my2 friendsn at1 homen. At firstadvmy1 mothern did not3 likevrabbitsn, but4 she2soonadvgrewvfondadjof1 them2. She2helpsvme2takevgoodadjcaren of1both2them2.
They2 are3 nowadv aboutadv the sameadj agen, around4 threen yearsn. The Bunnynis3a bitadjlongeradj.It2 is340 cmadjlengthn. Bettyn is3 aboutadv 3 cmadj shorteradj. Their2 weightsn are3 almostadv the sameadj, aboutadv5,5kgadj.
Both2 Bunnyn and4 Bettyn havev whiteadj furn. The furn oftenadv attractsv dustn, dirtn and4 germsn. We2 helpv them2 get rid ofv it2 by1 brushingv them2 gentlyadv everyadv 3-4 daysn. We2 havev a specialadj wide-toothedadj combn for1 the sameadj. We2 have3 keptv separateadj combsn for1 both2 the rabbitsn. Bunnynand4 Bettyn lovev the combingn sessionsn. They2 sitv in1 my2 mother’sn lapn and4 enjoyv this2 activityn. My2mothernwashesvthe combsnthoroughlyadvand4driesvthem4after4 everyadjcombingnsessionn.
My2 petn rabbitsn lovev eatingn carrotsn, grassn, basiln and4 variousadjgreenadjleafyadj vegetablesn.We2 mainlyadvfeedvthem2 with1 leafyadjgreensnand4givevthem2 carrotsnoccasionallyadvas4the lateradv containv highadj sugarn contentn. We2 bringv freshadj leafyadj vegetablesn and4 grassn for1 our2 bunniesn every dayadv and4 makev sureadjthey2are3welladvfedv.
Justadv likev smalladj kidsn, Bunnyn and4 Bettyn lovev being3 pamperedv.They2 likev sittingnin1my2 lapnand4justadv lovev it2 when4
I2 patv them2 or4 gentlyadv rubn their2 headn. They2 showv their2 affectionn by1 lickingv me2. They2 alsoadv lovev runningv aroundadv the housenwith1me2
Both2 Bunnynand4 Bettyn are3 quiteadj warmadj, friendlyadj and4 sociableadj. They2 are not3 onlyadv affectionatev towards1 us2 but4 alsoadv welcomev alladj our2 guestsn with1 warmthn. Smalladj kidsn in1 our2 neighbourhoodn oftenadv comev to1 playv with1 Bunnyn and4 Bettyn. They2lovevplayingnwith1the kids.n
Table 4.5
Summary Types of Words from Text 2
Types of Words Part of Speech Total
Content Words
1. Noun 74
2. Verb 40
3. Adjective 37
4. Adverb 23
Total 174
Grammatical Function Words
1. Preposition 19
2. Pronoun 54
3. Auxiliary Verb 16
4. Conjunction 22
Total 111
Based on the table above, text 2 contained 174 content words which were comprised of 74 nouns, 40 verbs, 37 adjectives, and 23 adverbs. On the other side, it was contained 111 grammatical function words which were comprised of 19 prepositions, 54 pronouns, 16 auxiliary verbs, and 22 conjunctions.
To count the proportion of lexical density the researcher employed Ure’sformula, as follows:
Lexical Density =
( )x 100%
Lexical Density = x 100%
Lexical Density = x 100%
Lexical Density = 61,05%
Based on the result above, text 2 had 61,05% lexical density.
According to Ure’s qualification of lexical density, it was indicated high lexical density, which was the content of the text was quite difficult to be understood.
Text 3: Page 117
Scenery of Kenya
Kenyanoffersva diverseadjrangenof1interestsnfor1visitorsn. We2 havev 300 kilometresadj of1 coastn, with1 some2 lovelyadj beachesn.There2are3coraladjreefsn,and4seancreaturesn.That2’s3oneadj siden,that2’s3the beachnholiday.n
Thenadv, Kenyan is3 famousadj for1 safarisn. There2 are3 45 nationaladj parksn, where4 clientn can3 comev and4 visitv and4 seev exoticadj animalsn likeadj flamingosn- there2 are3 aboutadv two millionn of1 them2. You2 can3 alsoadv gov hikingn in1 the hillsn and4 mountainsn. There2 is3 the culturen aspectn, such as4 the Masain, who4 are not3 veryadv exposedv to1 Westernadj civilizationn. Basicallyadv, that2’s3 the safarinand4beach siden.
You2 can3 alsoadv comev for1 golfn. We2 havev 39 golf coursesn, so4 you2 can3 integratev a golfingadj holidayn – safarin, beachn, golfn. We2 alsoadv havev some2 camelsn,where4 peoplencan3 justadv gov for1 a camel riden.
In1a nutshelln,I2can3sayvthat4Kenyanis3a wonderfuladjplacen for1 visitorsn to1 comev. Kenyaadj peoplen are3 veryadv friendlyadj peoplen.
Table 4.6
Summary Types of Words from Text 3
Types of Words Part of Speech Total
Content Words
1. Noun 43
2. Verb 12
3. Adjective 14
4. Adverb 9
Total 78
Grammatical Function 1. Preposition 12
Words 2. Pronoun 17
3. Auxiliary Verb 17
4. Conjunction 11
Total 57
Based on the table above, text 3 contained 78 content words which were comprised of 43 nouns, 12 verbs, 14 adjectives, and 9 adverbs. On the other side, it was contained 57 grammatical function words which were comprised of 12 prepositions, 17 pronouns, 17 auxiliary verbs, and 11 conjunctions.
To count the proportion of lexical density the researcher employed Ure’sformula, as follows:
Lexical Density =
( )x 100%
Lexical Density = x 100%
Lexical Density = x 100%
Lexical Density = 57,77%
Based on the result above, text 3 had 57,77% lexical density.
According to Ure’s qualification of lexical density, it was indicated medium lexical density, which was the content of the text was quite easy to be understood.
Text 4: page 120
My Pet Cat
I2 havev a whiteadj colouredadj, softadj and4 furryadjpetn catn. It2 is3 a Himalayanadj Catn. These2 catsn are3 knownv for1 their2 softadj furryadjcoatsnand4that2is3what2attractedvme2tooadv.
Since1 I2 am3 the onlyadv childn in1 my2 familyn, my2 parentsn decidedvto1getvme2a petn. They2askedvme2if1I2wantedva dognor4a catnand4I2instantlyadvchosevthe letter2.My2fatherntookvme2to1a pet shopnand4my2heartnwentvpoundingnfor1this2cuteadjlittleadjwhiteadj
kittennwith1greyadjearsn.We2broughtvit2homenand4since1thenadvit2 has3been3my2bestadjfriendn.I2have3namedvit2Rosien.
Rosien is3 there2 with1 us2 since1 the lastadj two yearsn and4 has3 becomev a partn of1 our2 familyn. I2 lovev playingn with1 it2. I2 playv with1 it2 in1 the housen alsoadv takev it2 outadv in1 the parkn every eveningadv.I2bathevit2twicea monthnwith1the helpnof1my2mothern. Bathingv sessionsn are3 superadj funn for1 me2 as well asadvRosien. My2 mothern makesv me2 a pointn to1 combv Rosie’sn furryadj coatn every dayadv. We2 havev a separateadj setn of1 combsn, brushesn, shampoon and4 soapsnfor1 Rosien.We2 alsoadvtakev a goodadjcaren of1her2 dietn. We2bringvhomenspecialadjcat foodnfor1her2. I2lovevmy2petncatn.
Table 4.7
Summary Types of Words from Text 4
Types of Words Part of Speech Total
Content Words
1. Noun 49
2. Verb 24
3. Adjective 18
4. Adverb 10
Total 101
Grammatical Function Words
1. Preposition 23
2. Pronoun 47
3. Auxiliary Verb 10
4. Conjunction 8
Total 88
Based on the table above, text 4 contained 101 content words which were comprised of 49 nouns, 24 verbs, 18 adjectives, and 10 adverbs. On the other side, it was contained 88 grammatical function words which were comprised of 23 prepositions, 47 pronouns, 10 auxiliary verbs, and 8 conjunctions.
To count the proportion of lexical density the researcher employed Ure’sformula, as follows:
Lexical Density =
( )x 100%
Lexical Density = x 100%
Lexical Density = x 100%
Lexical Density = 53,43%
Based on the result above, text 4 had 53,43% lexical density.
According to Ure’s qualification of lexical density, it was indicated medium lexical density, which was the content of the text was quite easy to be understood.
Text 5: Page 121
My Country
Welladv, of courseadv in1 Januaryn in1 my2 countryn it2 can3 be3 veryadvcoldadj,with1lots of2snowneverywhereadv,so4you2must3bringv lots of2warmadjclothesn, coatsn,and4woollyadjhatsn,and4if4 you2can3, snow bootsn.
Many2 peoplengov skiingv in1 the mountainsn at1the weekendsn and4when1you2are3upadvsoadvhighadjand4the skynis3blueadj, the sunn feelv reallyadv quiteadj hotadj which2 is3 warmadj enoughadv to1 havev lunchn outsideadv.You2 can3 evenadv sunbathev,so4 you2 should3 bringv sun creamn!But4 you2 don’t3have3gov skiingn,there2are3 lots of2other2 thigsnyou2can3dovand4seev.A lot of2our2townsnare3veryadvprettyadj. They2 lookv exactlyadv the sameadj todayadv as4 they2 did3 four hundredadj yearsn agoadv. And4 we2 havev beautifuladj lakesn. If4 the weather’sn fineadj you2 can3 gov for1 a boatn tripn and4 you2 can3 getv reallyadv wonderfuladj viewsn of1 the mountainsn all aroundadv, from1 lake Genevanyou2can3sometimesadvseevas far asadvMount Blancn.
The foodnyou2must3tryvis3fonduen,which2is3cheesenmeltedv in1 a potn. You2 putv piecesn of1 breadn on4 longadj forksn to1 getv it2 outadv. Alsoadv you2 could3 tryv Rostin madev with1 potatoesn and4 creamn–mmm! They2’re3both2deliciousadj.