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THE USE OF DESCRIBING PICTURE STRATEGY T
Analysis of the Test
The students‟ speaking scores in pre-test and post-test were assessed by using speaking rubric which is proposed by Brown (2004). The data obtained from the tests is analyzed statistically by using statistic calculation of the t-test formula with the significance degree of 5%. The purpose of the test is to find out the range of data, interval class, space of interval class, to make table of frequency distribution, mean of the table and to find out the t 0 score. a. Range Range is the difference between the highest and the lowest score (Sudjana, 2008). The range of pre-test and post-test scores would be determined by using : R= H-L Notes: R : Range of the score L : Lowest score H : Highest score b. Class Number Sudjana (2008) mentioned that the number of interval class can be determined by using the formula: CN = 1 + (3,3) log n 46 Note: CN : Class Number n : The number of sample c. Space of interval class Sudjana (2008) said that to know the space of interval class, we can use the formula: Note: I : Interval R : Range CN : Class Number d. Mean Arikunto (2002) stated that mean is analyzed by using the formula: Notes: X = Mean fi = refers to frequency xi = refers to the middle score of interval class 47 fixi = the amount of multiplication between the frequencies and the middle scores of interval class. e. T-score Sudjana (2008), in calculating the t score, we can use this formula: t o Note: t o : t-test MX : the mean score of deviation of pre-test MY : the mean score of deviation of post-test SX-Y : Standard error of the mean difference between variable X (pre-test) and variable Y (post-test). Download 2.02 Mb. Do'stlaringiz bilan baham: |
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