3. An average reliability ranges from 0.40 to 0.59 4. A high reliability ranges from 0.60 to 0.79
5. A very high reliability ranges from 0.80 to 1.00.
14
Based on the data see Appendix 17, the reliability of adjective mastery test was 0.907. Based on the category, the reliability of adjective mastery was very high
reliability since it amount 0.80-1.00.
From the data gained see appendix 18, the reliability of writing descriptive text test was 0.77. Based on the category, the reliability of writing descriptive text was high
reliability since it amount 0.60- 0.79.
K. Readability of Test
Readability tests are indicators 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 evaluation document should be easily understandable.
15
To know readability of the students’ writing ability of descriptive text test instrument,
the writer followed Kouamé’s research. The participants asked to evaluate
14
Sugiyono, Statistika untuk Penelitian, 17
th
Edition, Bandung, Alfabeta,2010,p.231
15
Julien B. Kouamé, Journal of Multi Disciplinary Evaluation Vol. VI No. 14 August 2010: Using Readability Tests to Improve the Accuracy of Evaluation Documents Intended for Low-Literate
Participants, Western Michigan University, Michigan, p.133.
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 describes an item that is difficult to read.
16
The questions tested individually. After that, the writer measured mean of each item. Based o
n the finding Kouame’s research, if the mean of all items the instrument text has under 4.46, the instrument is quite readable and understandable by the
readers or test takers.
17
The questionnaire for readability was attached and the result of readability test was 2.06. Based on the category, the readability test of writing
ability test was easy to read see Appendix 12.
L. Data Analysis and Interpretation 1. Normality of the Data
The normality of the test is used to measure whether the data have normal distribution or not. Normality test used Liliefors test. The data normally distributed if
L
observed
L
critical
. The liliefors formula is :
Z
i =
̅
The hypothesis for the normality test as follows: H
o
: the data are normally distributed H
a
: the data are not normally distributed Notes:
16
Ibid,p.133
17
Ibid., p. 134
s : Standard deviation ̅ : Coefficient of single datum
x
i
: Single datum The criteria as a follows:
H
o
is accepted if L
o
L
c
Sig α = 0.05 H
a
is accepted if L
o
L
c
.= 0.05
18
2. Linearity Test
Linearity test is used to know the size of the linear relationship between two variables x and y. Before analyzing the data by using pearson’s product moment
formula, the writer checked out whether the data obtained were linear or not, because this is one of requirements to be able to use t
he pearson’ product moment formula. The writer used SPSS Statistical Program for Social Science to check it in order to
make the writer easy. Then, the writer checked the result of linearity by comparing with significant leve
l α = 0.05. If the result is lower than α, it means that the data were linear. The significant level of linearity test was 0.000, it means that the data
was linear see Appendix 25
3. Hypothetical Test
The hypothesis is very important to find out whether or not the null hypothesis H
o
or alternative hypothesis H
a
is accepted in this research.
18
Sugiyono, Pengantar Statistik Pendidikan, Jakarta; Rajawali Press,1
st
Ed, 2009, p.78
