Negative vocabulary profiles of the textbook

14 TOTAL 1132+? 2169 100 14442 100 In learning vocabulary, the most important thing is the comprehension of the words, sentences and paragraph. According to Hirsch 2003, in learning vocabulary in another language stated that an understanding of 90-95 of the words is necessary for comprehension. On the other hand, 2.92 of vocabulary fell under the academic words AWL. Academic words are words that are commonly used in academic texts. Teacher need to select whether the academic words that amounted to 422 words used in the textbook need to be introduced to the students in Vocational High Schools. There were 849 words fell under off-list. Off list words are those words that did not include into other categories. This off- list word should not be ignored in teaching, because students at this level need to know about the vocabulary. Then, teachers have to be wise in selecting for useful words in this category. The rest percentage of AWL and off-list words were 5.88, it means that students need efforts to get better comprehension.

2. Negative vocabulary profiles of the textbook

This section below presents the description of negative vocabulary profiles of the textbook. Negative vocabulary is vocabulary items that are not found in the textbook. The list of negative K-1 words below is useful for teachers in selecting vocabulary items that students may find useful to develop their vocabulary knowledge. For textbook writers, the list provides information in 15 assessing the completeness of instructional materials at different grades or frequency levels. Negative vocabulary profile of K1 This section presents all the word families =head words from the K-1 level that were not found in the textbook. The summary of negative vocabulary profile for K-1 level is presented below. K-1 Total word families: 964 K-1 families in input: 584 70.95 K-1 families not in input: 281 29.15 These percentages do not refer to tokens in text but rather number of families. Based on the summary above, there were 70.95 of word families that were found in the textbook. It means that there were 29.15 of word families that were ‘missing’ or not found based on the words listed in New General Service List NGSL. The followings are some of the word families that are not found in the input textbook. The complete word list has been put in Appendix A. Table 2. Negative Vocabulary Profile of K-1 ABOVE ACCOUNT ACCOUNTABLE ADMIT ADOPT AFFAIR AGENT ALTHOUGH ANCIENT ANIMAL APPOINT ARM ARMY ASSOCIATE ATTEMPT AVERAGE BANK BAR BATTLE BEHIND 16 BELONG BESIDE BILL BIRD BLOOD BLUE BRANCH BREAD BRIDGE BROAD BURN BUSINESS CAPITAL CAPTAIN CARRY CASTLE CENTRE CHARGE CHIEF CHURCH CLAIM COAL COAST COIN COLONY COLOUR COMMAND COMMITTEE CONDITION CONTAIN COTTON COUNCIL COURT CROSS CROWD CURRENT DARK DEFEAT DEGREE DEMAND DEPARTMENT DISTINGUISH DOLLAR DRY DUTY EAR EAST EFFICIENT EGG ELECT ELEVEN EMPIRE ENTER EQUAL ESCAPE EXCEPT EXCHANGE EXERCISE EXPERIMENT EXTEND Negative Vocabulary profile of K2 This section presents all the word families =head words from the K-2 level that were not found in the textbook. The summary of negative vocabulary profile for K-2 level is presented below. K-2 Total word families: 986 K-2 families in input: 284 28.80 K-2 families not in input: 703 71.30 It shows that overall of K-2 do not refer to tokens or number of words in the textbooks but rather number of word families. As the result, there were 28.80 of word families that were found in the textbooks. Furthermore, there were 71.30 17 of word families were ‘missing’ or not found based on the words listed in New General Service List NGSL. The followings are some of the word families K-2 that were not found in the input textbook. The complete word list has been put in Appendix B. Table 3. Negative Vocabulary Profile of K-2 ABROAD ABSENCE ABSENT ABSOLUTELY ACCUSE ACCUSTOM ACHE ADMIRE ADVERTISE AEROPLANE AGRICULTURE AHEAD AIM AIRPLANE ALIVE ALOUD ALTOGETHER AMBITION AMUSE ANGLE APART APOLOGY APPLAUD APPLAUSE APPLE APPROVE ARCH ARREST ARROW ARTIFICIAL ASH ASIDE ATTRACT AUTUMN AVENUE AWAKE AWKWARD AXE BABY BAG BAGGAGE BAKE BAND BARBER BARREL BASIN BASKET BATH BATHE BAY BEAK BEAM BEARD BEAST BEAT BELL BELT BEND BERRY BICYCLE BILLION BIND BIT BITE BLADE BLAME BLIND BOAST BOIL BOLD BONE BORDER BOTTLE BOTTOM BOUND BOUNDARY BOW BOWL BRAIN BRASS BRAVE BREAKFAST BREATHE BRIBE 18 Negative vocabulary profile of K3 or AWL This section presents all the word families =head words from the K-3 or AWL level that were not found in the textbook. The summary of negative vocabulary profile for K-3 or AWL level is presented below. AWL Total word families: 569 AWL families in input: 160 28.12 AWL families not in input: 410 72.06 Based on the result, these percentages do not refer to tokens in text but rather number of families. As it had been shown, there were 28.12 of word families were found in the textbook. Because of that, there were 72.06 of word families were ‘missing’ or not found based on the words listed in New General Service List NGSL. The followings are some of the word families K-3 that were not found in the input textbook. The complete word list has been put in Appendix C. Table 4. Negative Vocabulary Profile of K-3 or AWL ABANDON ACCESS ACCOMMODATE ACCUMULATE ACKNOWLEDGE ACQUIRE ADAPT ADEQUATE ADJACENT ADJUST ADMINISTRATE ADULT AGGREGATE AID ALBEIT ALLOCATE ALTER ALTERNATIVE AMBIGUOUS AMEND ANALOGY ANALYSE ANNUAL APPARENT APPEND APPROXIMATE ARBITRARY ASSEMBLE 19 ASSIGN ASSIST ASSURE ATTACH ATTAIN ATTITUDE ATTRIBUTE AUTHOR AUTHORITY AUTOMATE AVAILABLE BEHALF BULK CAPABLE CAPACITY CEASE CHALLENGE CHANNEL CHART CHEMICAL CITE CIVIL CLARIFY CLAUSE COHERENT COINCIDE COLLAPSE COLLEAGUE COMMENCE COMMENT COMMODITY COMPATIBLE COMPENSATE COMPILE COMPLEX COMPONENT COMPOUND COMPREHENSIVE COMPRISE COMPUTE CONCEIVE CONCENTRATE CONCEPT CONCURRENT CONFINE CONFIRM CONFLICT CONFORM CONSENT CONSEQUENT CONSIDERABLE CONSIST CONSTITUTE CONSTRAIN CONSTRUCT CONSULT CONTACT CONTEMPORARY CONTRACT CONTRADICT CONTROVERSY CONVENE CONVERSE CONVERT COOPERATE COORDINATE CORE CORPORATE CORRESPOND COUPLE CREDIT CRITERIA

3. Block frequency output of off-list words.