Statistical Hypothesis RESEARCH METHODOLOGY
essential the same result consistently in different occasion when the condition of the rest remains the same.
1 Instruments Validity
The writer uses Pearson Product Formula to calculate the validity of the test and Alpha method in calculate the reliability of the test to achieve the
appropriateness of the test. Arikunto, 2009, p.18. The following is the formulation of Pearson Product Formula.
Note:
r
1 =
time score result X and Y for each respondent ∑ = score of test instrument X
∑ = score of test instrument Y ∑
= quadratic score instrument X ∑
= quadratic score instrument Y The validity of each item from the column corrected item total
correction r
count
compare with r
table
. If r
count
r
table
that item is valid or otherwise using α = 0,05.
2 Instrument Reliability
To analyze the reliability of the instrument, the writer uses Cronbach Alpha Method. It is used to determine the consistency of the interval among
the variables and instruments.
�� = � ∑ � � − ∑ �. ∑ �
�. ∑ �
−
∑ � �. ∑ �
− ∑ �
r
11
=
� �−1
1 −
∑ �
� 2
�
� 2
Note :
r
11
= reliability score
∑ =
total variance score = total variance
n = item score
3 Validity and Reliability Test of Listening Test Instrument
The writer didn’t make the test of Listening by herself; she used from the TOEFL Junior, a test which was made from a trusted institution. So, the
writer believes that the test items that have been used for the research are valid and reliable.
4 Validity and Reliability of Learning Motivation Instrument
Both validity and reliability of the other research instrument, learning motivation questionnaire, had to be tested as well. The questionnaire
consists of 20 items to indicate student intrinsic and extrinsic learning motivation. Likert scale was used to me
asure students’ responses to series of statement of continuum from strongly agree to strongly disagree. The
respondents were offered a choice of five responses with the neutral point to be agreed or disagreed. Each of five responses had numerical value
which was used to measure the motivation under investigation.
- Validity Test for Learning Motivation
Table 3.6 The Result of Validity Test from The Learning Motivation Questionnaire
No r Hitung
r Tabel Keterangan
1 0,729
0,349 Valid
2 0,913
0,349 Valid
3 0,913
0,349 Valid
4 0,835
0,349 Valid
5 0,835
0,349 Valid
6 0,839
0,349 Valid
7 0,920
0,349 Valid
8 0,845
0,349 Valid
9 0,802
0,349 Valid
10 0,846
0,349 Valid
11 0,799
0,349 Valid
12 0,702
0,349 Valid
13 0,812
0,349 Valid
14 0,880
0,349 Valid
15 0,803
0,349 Valid
16 0,865
0,349 Valid
17 0,891
0,349 Valid
18 0,929
0,349 Valid
19 0,910
0,349 Valid
20 0,625
0,349 Valid
If the r account value of one test item was more than the r table, the item was categorized as valid one. The result of validity test showed that r table
was 0,349. The result of validity test for the learning motivation instrument from the 20 items showed that all of the items are valid.
- Reliability Test for Learning Motivation Questionnaire
The reliability test for the learning Motivation questionnaire used Alpha methods, the result showed that from the 20 items in the questionnaire gained
good r alpha coefficient which was 0,975.
Case Processing Summary N
Cases Valid 32
50.0 Excluded
a
32 50.0
Total 64
100.0
Reliability Statistics
J. The Technique of Data Analysis Technique of data analysis used in this study will be aimed to
examine the four statements of hypotheses as mentioned previously. Therefore, the technique that will be used is ANAVA 2 two ways or two dimensional
analysis of variance. The purpose of using this kind of technique to get the result about significance differentiate from two independent variables to
dependent variable. The independent variables are the A factor which are, Video A1 and Picture A2. The other independent variables are the B factors
which are
High Motivation Students’ B1 and Low Motivation Students’ B2. Before using ANAVA 2 two ways, there are some steps that
must be accomplished, they are: 1. Normality Test
Normality test is conducted to know whether the population of Y and X variable are distributed normally or not. In this study, the normality test
used Kolmogorov-Smirnov method. Suparman, 2012, p.34. Data is considered normal if F
observed
F
table
tested with a significance level
α = 0,05. As for the linear data if F
observed
F
table
tested with a significance level 2 = 0.05
Cronbachs Alpha N of Items
.975 20
2. Homogeneity Test Homogeneity test is used to test the variance homogeneity between Y
variable score which is categorized based on the similarity of X score. Homogeneity test in this study is done by the help of SPSS. This is
commonly referred to as the assumption of homogeneity of variance.
The data research which has been collected from a homogeneous population if adequate significance is α = 0,005. If F
observed
F
table
, so it can conclude that the data is homogeny.
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