25
According to Arikunto 1993:114: In collecting data, researcher will contact the
subjects who meet the requirements of the characteristics of the population, regardless of where the origin of the subject as long as it is still in the population. Typically, they are
contacting the subject that easy to find, so that data collection is easy. The important note is the fulfillment of the amount quota has been determined.
With the consideration due to the availability of time, limited money and effort, the author was forced to limit the number of research subjects.
According to Sutrisno Hadi and Seno Pamardiyanto 1994:276 a sample
technically can be seen as a large sample where N ≥ 30, which means that samples have been eligible normality in a study.
F. Data Resources
1. Primary data
Primary data is a data collected and processed by the author that obtained directly from respondents. Primary data in this study include: data description of the respondents,
the answers listed in the questionnaire, related to: prices, products, beliefstrust and attitudes.
2. Secondary data
Secondary data is data obtained indirectly or from other parties associated with the object of research to support the primary data. Secondary data used by the author
usually comes from: television, newspapers, books in the library.
G. Data Collecting Technique
26 To obtain accurate and relevant data, a good data collection technique is needed as
well. Techniques of data collection used were: 1.
Interview This method is carried out by direct interviews with the parties concerned, namely
the students of the Faculty of Law Pancasila University Depok that were selected as respondents.
2. Observation
Observation is a technique of collecting data by direct observation of the object of research.
3. Questionnaire
Questionnaire method is done by distributing questionnaires to the respondents to determine the response of respondents to the questions posed by the author.
H. Data Analysis Technique
1. Qualitative data analysis
An analysis technique by provides a description, images, illustration and interpretations in order to obtain a conclusion.
2. Quantitative Data Analysis
Analysis technique using a number that consists of: a.
Validity and reliability test The validity of the instrument shows the extent of the measuring device
instrument capable of measuring the variables measured. Testing the validity of using the product moment correlation technique by correlating the score of each item
27 with total score. Instruments declared valid by comparing the value of product moment
correlation r count with r-value table for the level α = 5, i.e. if the value of r count r table.
Reliability indicates the extent to which reliable gauge or show how far gauges consistency. Reliability test use the Alpha Crobach method. Instruments declared
reliable if the price of Alpha coefficient reaches at least 0.6 Nurgiyantoro,
1999:312.
b. Multiple linear regression analysis
To determine the extent to which the price variable X
1
, product X
2
as well as beliefs and attitudes X
3
influence the decision to buy Y used multiple linear regression analysis.
According Nurgiyantoro 2000:276:
Formula: Y = a + b
1
X
1
+ b
2
X
2
+ b
3
X
3
............................................1 Description:
Y = buying decision
a = constants
b
1
,b
2
,b
3
= regression coefficient X
1
= price variable X
2
= product variable X
3
= trustbelief and attitude variable c.
F – test
To test the behavior of consume
According to Formula:
F =
Where: F
= moreover, F R²
= determinant c k
= number of va n
= sample amou To test the hypothesis w
Ho : b
1
= b
2
= b
3
= 0 →
Ho : b
1
≠ b
2
≠ b
3
≠ →
Acceptance and rejecti Ho is rejected → if the
This means that there a Ho received → if the F
This means there is no 28
the hypothesis: the independent variable X
1
mers in the decision to purchase Y.
to Damodar Gujarati 1998:20:
............................................................2
F-count compared with F-tabel nt coefficient
variables ount
is with F test, the hypothesis was formulated as →
no significant effect between the independe variable on the dependent variable.
→ there’s a significant difference between the
independent variable on the dependent varia
ction criteria of Ho: the F-count F-table
e are influences between variable X
1
, X
2
, X
3
wit e F-count F-table
no influence of variables X
1
, X
2
, X
3
with variab
1
, X
2
, X
3
affects the
as follows: dent
the ariable.
with variable Y.
iable Y
d. T – test
To test the dependent variable
According S
Formula: t-count =
............... Where:
b =
regressi S
b
= standard
Testing criteria: Ho : bi = 0
→ variable
Ha : bi ≠
→ variable
Ho received if –t
table
29 the effect of independent variables X
1
, X
2
, le Y T - test is used.
Sumodiningrat 199:223:
................................................................3
ssion coefficient ard error of regression coefficient
ble X have no significant effect towards variable ble X have significant effect towards variable Y
t
count
t
table
and vice versa.
CHAPTER IV , X
3
partially on the
able Y Y
