Technique of Data Collection

9-7 - VERY POOR: Essentially translation, little knowledge of English vocabulary, idioms, word form, or not enough to evaluate L an gu age Use 25-22 - TO VERY GOOD: Effective EXCELENT complex construction, few errors of agreement, tense, number, word orderfunction, articles, pronouns, preposition 21-18 - GOOD TO AVERAGE: Effective but simple construction, minor problems in complex construction, several errors of agreement, tense, number, word orderfunction, articles, pronouns, preposition but meaning seldom obscured 17-11 - FAIR TO POOR : Major problems in simplecomplex construction, frequent errors of negation, agreement, tense, number, word orderfunction, articles, pronouns, preposition andor fragments, run on, deletions, meaning confused or obscured 10-5 - VERY POOR: Virtually no mastery of sentence construction rules, dominated by errors, does not communicate or not enough to evaluate M ec h an ics 5 - EXCELENT TO VERY GOOD: Demonstrates mastery of convention, few errors of spelling, punctuation, capitalization, paragraphing 4 - GOOD TO AVERAGE: Occasional errors of spelling, punctuation, capitalization, paragraphing but meaning not obscured 3 - FAIR TO POOR: Frequent errors of spelling, punctuations, capitalization, paragraphing, poor handwriting, meaning confused or obscured 2 - VERY POOR: No mastery of convention, dominated by errors of spelling, punctuation, capitalization, paragraphing, handwriting eligible, or not enough to evaluate Scoring profile by Jacobs 1981 10 From the table above, the writer gave the score of each students whether they had higher score or lower score, also the writer involves the 10 Arthur Hughes, Testing For language Teachers Second Edition, Edinburgh: Cambridge University Press, 2003, p.104. English teachers at the school to give writing scors. It is to avoid bias at scoring the students. Next the writer compared the score from the both English teacher then analyzed it.

F. Technique of Data Analysis

To find out the differences of students ’ scores in experimental class and students’ scores in controlled class, the writer used the formula of t-test by using statistical calculation. The writer showed the data from manual calculation and by using SPSS Statistic Product and Statistic Solution to compare the data whether or no they have the same result. After getting the pre test score of experimental and controlled class then the writer showed it in the table to know the achievement from each students before they were given any treatment. Next, after the score of post test collected from experimental and controlled class, it was showed by table to compare whether there is significant difference of post-test score between the experimental and the controlled class. The last was by using SPSS to find out the gained score of experimental and controlled class, the aim is to compare the score of experiment and controlled class. Meanwhile, the statistical calculation by using t-test formula is follow. 11 : Mx : Mean of the Difference of Experimental Class My : Mean of the Difference of Controlled Class SE Mx : Standard Error of Experimental Class SE My : Standard Error of Controlled Class X : Using Think Pair Share in Experimental Class 11 Anas Sudijono, Pengantar Statistik Pendidikan, Jakarta: PT. Raja Grafindo Persada, 2008, p.32. t o = Y : Do not using Think Pair Share in Controlled Class Prior the calculation of t test, there are several steps to be taken, they are as follow: 1. Determining mean of variable X the formulation is: 2. Determining mean of variable Y the formulation is: 3. Determining standard of deviation score of variable X the formulation is 4. Determining standard of deviation score of variable Y the formulation is: 5. Determining standard error of mean of variable X the formulation is: 6. Determining standard error of mean of variable Y the formulation is: M x = M y = SD x = √ SD y = √ SE x = √ SE y = √ 7. Determining standard error of different mean of variable X and variable Y the formulation is: 8. Determining t o with formula: 9. After the writer collected the data and the next steps is determining t-table in significance level 5 0,5 and 1 0,1 with degree of freedom In Which: df :Degree of freedom N 1 :Total number of students of experimental class N 2 :Total number of students of controlled class 10. Giving interpretation of t o with the procedures as follow: a Formulating the alternative hypothesis H a : “There is a significant difference of the students’ achievement that had been taught of descriptive writing by using cooperative learning as the experimental class or variable X between the students’s achievement from controlled class or variable Y using conventional method .” b Formulating the alternative hypothesis H : ”There is no significant difference of the students’ achievement that had been df=N1+N2-2 SE Mx-My = √ t o = taught of descriptive writing by using cooperative learning as the experimental class or variable X between the students’s achievement from controlled class or variable Y using conventional method .” c The calculation of t hitung is compared with t table by using degree of significance 0.05. d If t test t table , so the alternative hypothesis H a is accepted e If t test t table , so the null hypothesis H o is rejected

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