a. A very low reliability ranges from .00 to .20
b. A low reliability ranges from .20 to .40
c. A fair reliability ranges from .40 to .60
d. A high reliability ranges from .60 to .80
e. A very high reliability ranges from .80 to 1.00
97
From the calculation by using reliability analysis, the reliability of the instrument for
the pre-test in control class was 0.946 and for post-test 0.963 and the reliability of the
instrument for the pre-test in experimental class was 0.951 and post-test was 0.951. It can be concluded that the instrument for pre-test and post-test had a very high
reliability. See Appendices 34-37
L. Readability of the Test
Readability tests are indiators that measure how easy a document is to read and understand. For evaluators, readability statistics can be solid predictors of the
language difficulty level of particular documents. The essential information in an evalution document should be easily understandable.
98
In addition, according to
97
Sugiyono,
Metode Penelitian, Pemdekatan Kuantitatif, Kualitatif dan RD
, Bandung: Alfabeta,2010, p.184
98
Julian B. Kouamѐ‟s,
Using Readability Test to Improve the Accuracy of Evalution Documents Intended For Low-Literate Particpant, Journal Of Multi Disciplinary Evalution
, Michigan: Western Michigan University, 2010, p.133
Jornes and Bartllet, the best way to know whether documents are truly easy to read is by asking for feedback from readers resprenssenting the intended audience.
99
To know readability of the essay test instrument, t he writer followed Kouamѐ‟s
research. Participants were asked to evaluate instructions and the understandability of each item on a scale of 1 to 10, where, 1 describes an item that is easy to read and 10
describe an item that is difficult and read. The questions were tested individually. See Appendices 9-14
The participants may not have difficulty understanding because they take the context
of the writing into consideration. After that, the writer measured mean of each item. Based on the finding of
Kouamѐ‟s research, if the mean of all items of the instrument text has mean under 4.46, the instrument is quite readable and understandable by the
readers or test takers.
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Furthermore, based on the finding of Kouamѐ‟s research, if the mean of all items of the instrument text has mean under 4.46, the instrument is quite readable and
understandable by the readers or test takers. Because the mean of the items instrument of writing test is 3.1 lower than 4.46, it means that the instrument is
readable. See Appendix 15
99
Jones and Bartlett,
Assesing Readability Wich Grade Level Formula
, Available On: http:www.Readability.Com-Assesing-Readability-With-Grade-Level-Formula
February 4
th
2016 14.00 am.
100
Julian B. Kouamѐ‟s,
Op.Cit
., p.133
M. Data analysis
To analyze the data, the writer used parametric statistic. In the parametric statistic, there are assumptions which must be fullfilled; they are normality and homogeneity
test.
1. Fulfillment of the Assumptions
Parametric test are significant tests which assume a certain distribution of the data usually the normal distribution, assume an interval level of measurement, and
assume homogeneity of variances when two or more samples are being compared. Most common significance tests z test, t-test, and F tests are parametric.
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It means to get a certain distribution of the data, the writer has to do some tests such as
normality test and homogeneity test.
a. Normality Test
The writer done this normality test to know whether the datas have normal distribution or not. The writer used SPSS Statistical Program for Social Science to
calculate the Kolmogorov-Smirnov test and the Shapiro-Wilks test. After the writer got conclusion that the data is normal or not, the writer may continue into the next
test. It will be homogeneity test.
The hypothesis for the normality test are formulated as follows: H
o
: the datas are normally distributed
H
a
: the datas are not normally distributed
101
G. Davin Garson,
Testing Statistical Assumption
, London: Statistical Associate Publishing,2012, p.8
