3.0 data collection methods, construct measurement, data

3.0
INTRODUCTION

This chapter is to highlight the design and
also the methodology used to obtain required data toward privacy, motivations
to share and the security. It explains in detail on the research design,
population, sampling design, sample size, sample elements, sample method, data
collection methods, construct measurement, data processing and methods of data
analysis.

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3.1
RESEARCH DESIGN

Causal study is to be use to conduct this
research. This type of study is the investigation of the cause-and-effect
relationship. In this study, the cause would be privacy, motivations to share
and security, while the effect is the social media risk through information
sharing. Since the respondents will only have to answer from the questionnaire,
minimal interference is applied to the researcher during this study. The time
horizon for this study will be cross-sectional. Cross-sectional time horizon
means that during the study, the data are collected once, over a period of time
(Sekaran & Bougie, 2016). The unit of analysis for this study would be
individuals, which is the staff at Aon Insurance Brokers.

 

 

 

 

 

 

 

 

 

 

 

3.2
POPULATION AND SAMPLING SIZE

In order to obtain reliable results,
the process of selecting a suitable number of elements for the research is
important. This sampling design consists of population, sampling technique and
sample size.

·        
Population

 

The population for this study will
be the staffs at Aon Insurance Brokers (M) Sdn Bhd. Respondents will be
selected randomly as a target population. The selected target will be needed to
answer the questionnaire given to them.

 

·        
Sampling
Technique And Sampling Size

 

Convenient sampling will be used, as the
researcher will collect the information by distributing questionnaires to the
Aon Insurance Brokers staffs. This is to gain the information about the factors
that influence the social media through information sharing. The appropriate
sample sizes for most research are those larger than 30 and less than 500. So,
as for this research, the researcher finds it is adequate to have a sample size
of 110 respondents. The sample size for this study will be about 110
staffs that will be chosen randomly.

 

 

 

 

 

 

 

 

 

 

 

3.3
DATA COLLECTION METHOD

Data collection method is important
in order to have a precise and accurate data. Data can be collected in variety
of ways and resources. Usually, the data is being collected by two different
sources, which are primary and secondary data that could provide different
information for the research. This study focuses on questionnaire as the medium
for collection methods to obtain data determining the factors that influence
the social media risks through information sharing. The questionnaire will be
distributed to the respondents in order to obtain the information to proceed
with the research.

·        
Primary
Data
In primary data collection method, it can be divided into two
different methods which is qualitative and quantitative research. In this
research, researcher had used quantitative technique which is questionnaire
survey method. Questionnaire survey will help researchers in collecting data
from other respondents where the respondents will answer the question regarding
to the topic in this study.

·

QUESTIONNAIRE

Questionnaires were used in this
research study to gather information needed. Questions in the questionnaire
were developed in order to obtain some data needed by the researcher. This
questionnaire has 5 sections which consist of sections: A, B,
C, D & E. Section A focuses on the demographic
profiling and the personal details of each respondent. It was categorized as
gender, age, marital status and so on. Questions in Section B are about
the dependent variable which was used to investigate respondent’s awareness
about the social media risks through information sharing. Section C
focuses on the awareness on the privacy concern while Section D is about
their motivations to share information. Lastly, in Section E, focuses on
the last independent variable which is security.

·        
Secondary
Data

Under secondary data, all the
information is retrieved from a second source other than getting them first
hand. By this, it means that the data are collected from journal, articles,
conference proceedings, web pages, and more.

 

3.4
DATA ANALYSIS

After data are obtained through
questionnaires, they need to be edited. The data is then input, assessed and
analysed using a Statistical Package for Social Science (SPSS) programs.
The information will then be coded using SPSS for data analysis resulting from
this research study. The types of data analysis to be used include:

 

· Reliability Test

The purpose of
reliability test is to measure whether the data obtained from this survey is
reliable, consistent and stabilize or not for this research. The test can be
done after the data has been collected. The reliability reflects how well the
items are positively correlated to one another. The test is considered reliable
if the same result is obtained repeatedly.

Table 3.1 shows the Cronbach’s Apha measures:

Value

Description

0.8

Good

Table 3.1

· Descriptive Analysis

Descriptive
analysis used to analyse all questions that will be answered by respondents.
Descriptive analysis will provide results according to different scales and
variables this study needed. Each score value for each question will be
obtained in the form of percentage, mean, median, mode and highest and lowest
score.

 

 

 

· Correlation Analysis

The
relationship between independent variables and dependent variable can be
measured by using correlation analysis. The function is to determine whether
both variables are significant to each other. The Pearson correlation
coefficient has a range of -1 to +1. The closer the correlation is to -1, the stronger
the negative linear relationship. The closer the correlation is to +1, the
stronger the positive linear relationship. The closer the correlation is to 0,
the weaker the linear relationship.

 

· Regression Analysis

Regression
analysis is used to predict the value of the variable based on the value of
another variable. The R value represents the simple correlation while the R²
value indicates how much the dependent variable can be explained by the
independent variables.

 

3.5 SUMMARY

This chapter has discussed about the method that
used to examine the main purpose of this research. The research design,
population, sampling design, data collection methods, and data analysis were
discussed in this chapter. The test will be run using the Statistical Package
for the Social Science (SPSS) software in the next chapter.

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