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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