CHAPTER III
RESEARCH METHOD
In this chapter the researcher presents the research method. It
consists of research design, population and sample, research variable,
research instrument, validity and reliability testing, normality and
homogeneity testing, data collection method, data analysis and hypothesis
testing.
A. Research Design
Research design as all process that be needed in conducting the
research. It is a way to acquire dependable and useful information. This
research belonged to experimental research design. This study was
classified as Pre-experimental research design because it has little or no
control of extraneous variable. According to Muhammad arief (2011:96)
this design involves only one group as its subject and it involves three
steps that are pretest, treatments, and posttest. Firstly, the group is given
pretest before experimental treatment applied. After the treatment is
finished, the post test is administered. The design of this research can be
seen in the table below :
Table 3.1 of One-Group pre-test and post-test
Y1 X Y2
Pre-test Treatment Post-test
(Independent Variable) (dependent variable)
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The procedures of pre-experimental research were :
1. Administering a pretest with a purpose of measunring speaking skill of
second grade students at MTsN 2 Kota Blitar before being taught by
using story completion technique.
2. Appliying the experimental teaching speaking by using story
completion technique to the subjects of the research.
3. Administering a posttest with a purpose of measuring speaking skill of
seventh grade at MTsN 2 Kota Blitar after being by using story
completion technique.
The effectiveness of the technique is known after knowing the
difference score between the students who were taught before and after
appliying story completion technique.the difference score was identified
from the statistical result of comparing the scores of pretest and posttest.
This study was intended to investigate The Effectiveness of Story
completion toward student Speaking skill in MTsN 2 Kota Blitar.
B. Population, sample and sampling
1. Population
The first step to do the research is finding the target of population.
According to Latief (2010:56) a population is defined all members of any
well-defined class of people, events or subjects. According to sugiyono
(2010:117) the population is groups of subject that is determined by the
reserachers to be studied and drawn the conclutions. The number of
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population greatly affects the course of population. If it is large, researcher
will find some difficulties in conducting the research.
Then, sampling was used to select sample or the individual who will
participate in the reserach. According to Donald ary (2006) sample is a
small group of people that is selected to represent the much larger entire
population from which it is drawn. A sample is selected because the
population is too large to be studied. Therefore, the sample should be
representative of the general population.
The population of this research is the seventh grade at MTsN 2 Kota
Blitar that consist of eight classes. There are 339 students of the seventh
grade students at MTsN 2 Kota Blitar.
2. Sample
In choosing sample, the researcher used a certain sampling technique.
Sampling is a way a group of people or subjects as representative of the
large population. In this study the researcher used purposive sampling in
choosing sample. The students of VII E class consisted of 45 students
were chosen as the sample of the research. The researchers chose this
class because they had average proficiency in studying English. Naturraly,
from their capability, they were normal meaning that they were potential
to develop after being given a treatment.
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3. Sampling
Sampling is a technique to taking the sample according to sugiyono
(2016). Sampling is also as a way the researcher select number of
individuals as a sample which represents the population. Sampling is the
process of selecting a number of individuals for a study in such as a way
that the individuals represent the large group from which they were
selected. The purpose of sampling is to gain information about a
population; rarely is a study conducted that includes the total population of
interest as subject (Gay, 1992:123).
In this research, the researcher use purposive sampling. Purposive
Sampling is a technique to determine sample with a particular
consideration. This research chooses to research of class VII-E at MTsN 2
kota Blitar.
C. Research Variable
In this research, there are two variables namely independent
variables and dependent variables. The independent variable (X) in this
study is Story Completion. Then, dependent variable (Y) is students
speaking skill.
D. Research Instrument
The istrument is needed to collect the data collection. Instrument of
the research played an important role in research project. The instruments
were used to achive the accuracy of the data and can indicate that
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researcher was sucessful in this research. According to Isnawati (2011:14)
achievement test is test that is used to measure the process that students
making after learn something. To collect the data, the researcher gave
students twice tests, those are pre-test and post-test. Then, the researcher
got the score from Grammar, Vocabulary, Comprehension, Fluency, and
Pronounciation. They were pre-test and post test. Pre-test was taken before
doing an experimental study or before teaching by using Story completion
method. The pre-test have done on April 11th , 2018. The second was Post
test, it was taken after doing an experimental study or after teaching by
using Story completion Method. The post-test have done on April 20th ,
2018.
E. Validity and Reliability
According to Ary (1985) “research is always dependent upon
measurement. There are two important characteristic that every measuring
instrument should process validity and reliability.
a. Validity
Validity is the most complex criterion of an effective test the most
important principle of language testing (Brown, 2001:22). It is the extent to
which inferences made from assesment result appropriate, meaningful, and
useful in terms of the purpose of the assesment. The measure whether the
test has a good validity, the researcher analyzed the test from construct
validity and face validity. In this test, the researcher giving test to measures
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students’ speaking skill. The researcher made this test at seventh grade of
MTsN 2 Kota Blitar.
a) Content validity
A test is said to have content validity if its contents constitutes a
representative sample of the language skills, structure, etc. Content
validity is a kind of validity which depends on careful analysis of the
language being tested of particular test. in the content validity, the
coverage of task becomes the evidence. A test will have content validity if
it represents sample of language skills. The content validity in this
research as follow :
Table 3.2 of Material and Competence Indicator in Content validity
No Material Competence indicator
1. Recount text - Students are able to express
orally a monologue text form
Recount text.
- Students are able to mention
the function of Recount text.
- Students are able to respond to
linguistic elements in Recount
text in the form of simple past
tense.
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b) Face validity
A test is said to have face validity if it measure what is supposed to
measure. Face validity is hardly a scientific concept that is very important.
A test which dose not have face validity may not be accepted by test
takers, teachers, education, authorities or employers. In this test, there
where some aspects that are considered from this test to make a good test
based on the validity.
1. The instruction must be clear for the students what they should
do in the test.
2. In this test, the students of seventh grade were instructed to
answer question from teacher. Thus, the question gave by the
teacher must be suitable with their level.
3. The consideration of time allocation must be clearly. The writer
gave limited about 25 minutes for each student assement.
c) Construct validity
The construct validity of test is test which is capable of measuring
certain specific characteristic in accordance with a theory of language
behaviour and learning. Construct validity is one kind of validity that is
measureds the ability which is supposed to measure. For speaking test, is
should have such of knowladge of sub-ablities of speaking such as
pronountiation, fluency. The sub-abilities only can be measured if the form
of test.
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b. Reliability
The reliability of the test is its consistency and dependable (Brown,
2003:20). Thus, reliability is a measure of accuracy, consistency, dependability or
fairness of scores resulting from administration or particular examination.
Reliability is necessary characteristic of any good test: for it to be valid all, a test
must first be reliable as a measuring instrument (Heaton : 1989). Actually, the
ideal test should be both reliable and valid. In this research, the researcher also
used SPSS 16.0 for window to know the reliability of test instruments. The
criteria of reliability instrument can be divided into 5 classes as follows
(Zarkasyi, 2015: 206), those are:
a. If the Pearson Product Moment score 0.00 – 0.20: less reliable
b. If the Pearson Product Moment score 0.21 – 0.40: rather reliable
c. If the Pearson Product Moment score 0.41 – 0.70: enough reliable
d. If the Pearson Product Moment score 0.71 - 0.90: reliable
e. If the Pearson Product Moment score 0.91 – 1.00: very reliable
To know the items is reliable or not it can be seen from Pearson
Product Moment column. If the from Pearson Product Moment under 0.41
means is not reliable. If the from Pearson Product Moment upper 0.41
means that it is reliable. from Pearson Product Moment score = 0.714
means that it is reliable.
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F. Normality and Homogeneity Testing
1. Normality
Normality test are used to determine wheter a data set is well-modeled
by a normal distribution or not, or to compute how likely an underlying
random variable is to be normally distribution. For this research, the
normality test analyzed with using SPSS 16.0. To know the normality, the
researcher used One-sample kolmogorov-Smirnov The hypothesis for
testing normaly are :
a. H0 : Data is in normal Distribution. If the value of significance
> 0.050, means data is normal distribution
b. Ha : Data is not in normal Distribution. If the value of
significance < 0.050, means the distribution data is not normal
distribution.
2. Homogenity
Homogeneity testing is conducted to know whether the gotten data has a
homogeneous variance or not. The computation of homogeneity testing using
SPSS Statistics 16 is Test of Homogeneity of Variances by the value of
significance ( α ) = 0.050. Before doing homogeneity testing, the researcher
decides hypothesis in this homogeneity as follow:
a. H0 : If the value of significance > 0.050, means data is homogeny
b. H1 : If the value of significance < 0.050, means data is not homogeny
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G. Data Collection Method
The data collecting methods is needed to get the research data. The
data collecting method used in this research was administering test. Test
was an important instrument in this research. Instrument is the device the
researcher uses to collect data. According to zarkasyi (2015) there are two
kinds of instruments that are test instrument and non-test instrument. Test
instrument is used to measure students’ achivement and non-test
instrument is used to measure attitude. In addition, according to Ary et al
(2006) , test is tool or procedures used to know or measured something in
condition, ways and the rules are determine. In this research, the
researcher used oral speaking test to know the students speaking score.
here the researcher gave the worksheet to the students then the researchers
recorded the test results that have been given. The researcher chose this
kind of test because it is the most suitable test to obtain studets’ speaking
score related to recount topic that was discussed in the treatment. The test
were constructed by the researcher himself by using some sources. The
researcher used two kinds of test those are pretest and posttest.
Table 3.3 of The Development of speaking Test
No Steps Teacher Activities Student Activities
1. Opening - Greeting - Answering
- Cheeks the presence the greeting
class that day - Brain storming
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2. Main teaching - The reasercher giving - Listening to the
explanations and explanation
examples of Recount from researcher.
text. - Pay attention to
- The researcher guide the direction of
students to create a the researcher.
Recount text.
- The researcher are
encouraging students to
find the idea related
Recount text.
- The researcher directs
the students to write
each sentence
coherently.
3. Closing - Giving conclusion and - Giving
comment about material.
- Closing the meeting responses
Since the main data of this study were students’ score, the researcher
conducted try-out of the test. the purposes of the try-out were to know the
quality of instruction of the test, whether it was clear or not and to achieve the
reliable scores. The sample of try-out was the students in different class
namely VII D class. They were chosen because they have almost same level as
the experimental group. The scores and reliability computation of tryout
before doing pretest and posttest.
H. Data Analysis
The two variables investigated in this research were Story Completion
Technique and students score. In this research, the researcher used a
quantitative data analisys technique to know the students speaking skill before
and after being taught by Story Completion technique. The quantitative data is
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analyzed by using statisyical method. Here, the researcher conducted test to
the students before and after being taught by appliying Story Completion
technique. The data of pretest of postest to know whether there was significant
diffirent of the students’ speaking score. Therefore, the researcher used paired
sample T test at SPSS 16.0 for windows to determine whether the technique
was effective or not.
I. Hypothesis Testing
The hypothesis of this study was as follow:
1. If P-value is bigger than 0,05. So, the alternative hypothesis (Ha) is accepted. It
means that there is different score between the pretest and posttest. The difference
is significant.
2. If P-value is smaller than 0,05, the null hypothesis (Ho) is rejected. It means that
there is no different score between the pretest and posttest. The difference is not
significant.