word choice, sentence fluency, and grammatical convention is weighted separately and the student is given a breakdown on specific features of the
writing sample.
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It meant that t o score students’ writing using this analytic
scoring, it must be decided on the several aspects of writing which had the number of points in each aspect to be added together to be a total score.
Moreover, this analytic scoring could gain reliability. Weigle adds that analytic scoring can be more reliable than holistic scoring because reliability
will increase when additional items are added to a separate-point test, so a scoring scheme which has multiple
scores are given to each students’ a piece of writing tends to improve reliability.
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To assess the eighth grade students’ narrative writing, the writer used
the analytic fictionnarrative writing content rubric from
Vicki L. Kohen and John Edwin Cowen’s rubric which was modified by the researcher to suit her own
purposes. The writing rubric was provided in the appendix. Furthermore, the writing rubric was suited to the level of the students and the purpose of the test.
G. Technique of Data Collecting
After creating the instrument, the researcher collected the data. The data was obtained from the result of both control and experimental class which was
given writing narrative test pretest and posttest based on the material that was arranged appropriately to the syllabus. A test technique was used in this research
because it is a technique of data collecting in quantitative research which uses instrument.
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10
Vicki L. Kohen and John Edwin Cowen, Literacy for Children in an Information Age:Teaching Reading, Writing, and Thinking, New York: Wadsworth Cengage Learning, 2009, p. 358
11
Sara Cushing Weigle, op-cit, p. 121
12
Tim Penyusun Pedoman Penulisan Skripsi FITK, Pedoman Penulisan Skripsi, Jakarta: FITK, 2013, p. 65.
H. Technique of Data Analysis
1. Prerequisite Analysis Test
Analysis of research data aims to test the truth of hypothesis which is suggested in a research. However, before hypothesis testing is done, it is a
must to do prerequisite analysis data through normality test and homogeneity test.
a. Normality Test
Normality test is a test which is done to check whether a group of data comes from population having normal distribution or shapes normal
curve.
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The normality test is crucial to do because the calculation of parametric statistic has assumption or requirement that research data must
be distributed normally. To test the normality of the data, the researcher used IBM SPSS Statistics 19 and the steps were as follow:
1 Formulating normality hypothesis of the data; H : sample data was
normally distributed, while H
1
: sample data was not normally distributed.
2 Testing the normality of the data using Lillieforse Test, and the steps accoding to “7 Langkah Mudah Melakukan Analisis Statistik
Menggunakan SPSS 17 by C. Trihendradi
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are as follow:
a. Click Analyze = Descriptive Statistics = Explore on the menu
until the Explore dialogue box appears. b. Fill the variable in the Dependent List box and fill the other
variable in the Factor List
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Yusri, Statistika Sosial, Yogyakarta: Graha Ilmu, 2009, p. 139
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C. Trihendradi, 7 Langkah Mudah Melakukan Analisis Statistik Menggunakan SPSS 17, Yogyakarta: Penerbit andi, 2009, p. 71
