GI5008 Autumn Assessment: Quantitative Analysis in Conflict Studies

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GI5008 Autumn Assessment
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Contents
Essay................................................................................................................................... 3
Q3. Only quantitative analysis can give us a true understanding of the nature and causes of conflicts.. 3
References............................................................................................................................ 8
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Essay
Q3. Only quantitative analysis can give us a true understanding of the nature and
causes of conflicts.
For the research methodology, there are several techniques will be used for the collection of
the data to specify the objectives of the research or for any other forms. Data collection
techniques have different forms which have used for gathering different types of the data and
information such as information in mathematical calculation, measurements, from the
published newspaper, or form any other published documents which give some critical
information for the current research. The data gathering method divided into two parts the
one secondary data collection method and other is primary data collection methods.
The secondary collection of data method is used for collecting the data which is already
available on the internet or somewhere else this type of gathering information is already
analyses and collected by anyone else. Whenever any researcher wants to use the second type
of the data and information then they look in the various types of sources and if they are not
satisfied or have a doubt on the secondary data then they prefer to use the original
information which is collected by the current researcher efforts. The secondary type of the
data may be published and also unpublished data form and generally published type of the
data may be available through the different publication which is of the central, local or the
state government and also from the international bodies, from any books and magazines and
newspaper (Mihas, 2019).
On the other hand primary collection of data, the method is that where the researcher may
directly collect the fresh information or the data which is collected for the first time is the
primary data collection method. This type of data collection methods are original and also it
is very specific to the problems in the research study. The method of fresh data collection
method is from the following ways:
The interview method is the most used method for collecting the data and information in
which they ask some questions which is at the personal level or from the mail and telephone
from the accused and in the case of the survey on the telephone the interviewer may ask
questions which is very specific to the problem of the research.
Focus on group interview is also the method which is used for the data collection method
which is to be done generally in the six to twelve members and discuss the common part of
the problems. In this type of method, a common point is to be raised for the problem of the
research and collect the people views.
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Questionnaire method is also used for the data collection this method is widely used for
collecting the feedbacks and personal advice on some topic. There is the set of questions
which are raised at the time of the research and this method is used if the data collection is
needed from the wider population so that they may get the views from the people’s choice.
The primary data collection method is further divided into two parts the first is qualitative
and the other is a quantitative analysis of the data. In the qualitative data collection method,
they usually focus on the groups, interviews and other experiments which is supporting the
research objectives (Michie, et. al., 2015). This type of data analysis helps in identifying
some of the common patterns for the responses and which is critically examining for attaining
some goals and objectives.
On the other hand, quantitative analysis method is used for the critical analysis of the data
and figure out something numerical and also to attempt for finding the logic behind the
appearance of the core results. It is also to be said that the present psychology is the more
advance then the science of the early days. And also the questions which were asked in the
present-day science is more meaningful or maybe not. This is because if the one source of the
incorrect questions to the studied occurrences is the unacceptable answer for the questions
too. There are many numbers of the considerable problems which are come with the
quantitative methods that are bought by the students is going to be increasing every year in
which the only one observations could create the scientists watchfully. The questions which
are provided in the quantitative analysis are in the positive order such as first have the
questions which are according to the phenomenon and then the proper findings for the
questions may be taken place and looking for the accurate solutions (Chowdhury, 2015).
The considerable part in the present psychology may follow just opposite to the decisions. In
the present time, they first decided to use the quantitative method for the analysis and then
they formulated the questions according to the language of the data analysis. From the year
1940 to 1955 there is the statistical data type of analysis has become the crucial tool which is
mainly used in the hypothesis testing and with the change of the methodology, the methods
like statistical tool may start to convert in the theories of the mind. The statistical tools then
become to regulate the shape of the theories.
The problems may appear which is with the purpose of the number of the factors to recollect.
Many of the researchers may also decide that the number of the factors based on the clarity
that means the structure which may generate the clearest factor for the structure is to be
chosen for the research. This significant standard is used for applying the formal standards
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and also no one has to start the possibility that all items which are in the inventory may
resemble the psychological process.
At present, the developers and the users for the statistical analysis of the data have don't ask
any more questions and those questions may not answer with the help of the actions. The
researchers who were trying to introduce some mathematical actions, may clear that what
types of answers they are intended at (Colorafi. Et. al., 2016).
Most of the researchers may reject the questions and the answer through statistical measures
in the present time which is to be largely ignored without any scientific reason by the present-
day researchers. There are the inducing figures for interfering the factors analysis which is
into psychology is the name as Thurstone. The Thurstone suggested that the object of the
feature analysis is to determine the psychological abilities. If the researchers may be
interested in differencing the emotional devices of the behavior the other events may be
needed for the research. The researchers may invent the different methods used for revealing
the differences in the externally similar behaviors. It is also possible in many situations to
directly ask by the person of justification for their behaviors. There is also the important point
that the method which is created for the discovering of the potential differences in the similar
behaviors is qualitative this is due to if the variables are going too entered in the quantitative
analysis of data may lack the important information.
The qualitative relationship may hold the events which means the lack of the nucleotide
which is in the genetic factor is related to the qualitatively with the different process of the
protein synthesis which is related to the genetic factor. Most of the quantitative researchers
have provided considerable reasons why the inter-individual and their differences may not
ground clarifications which is at the intraindividual level. The purpose of the quantitative
analysis which is to be conducted with the variables that may encode the intraindividual
variability and this type of approaches static assumes the quantification and the steadiness.
From the last two eras, there is an increase in number for the considerable problems with
statistical data analysis and this has been exposed (Houghton, et. al., 2015). There are other
important difficulties which are understanding variables that help to encode the data on
behavior. Most of the problems may have appeared when the variables which contain the
information is at the changed level of the analysis, the tool which is used for the measurement
is not suitably sensitive. The phenomenon of the study is necessary and also it is not varied,
variability will be represented through validity which is an emerging phenomenon may vary
according to the properties and the test questionnaire.
The quantitative method of psychology may ask questions about the patterns for the
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relationships that are between the variables. The major questions which are to be answered
with the help of quantitative analysis are possible to identify with some of the faculty and
ability with some of the causes that are motivates in the experiential behavior. For example in
the subject of biology and chemistry in which the format of the questions are different so for
that while asking for the definite cause that is to be recognized the questions were asked for
the structure and the related studied phenomena (Callina, et. al., 2017).
The quantitative data and their manipulations may not able to reveal the structure this is
because of the structure and the elemental qualities and the relationship qualities are whole
will be determined once. No one epistemology highlights the disciplines but two in which the
one is looking for the identification of the cause and the effect of the relationships and also
the other is aiming at the operational methodical explanation of the phenomenon which is
under the study. The present-day quantitative psychology is only based on the Cartesian
human epistemology and the other chemistry and biology and several other sciences are also
based on the Aristotelian epistemology.
There is also one interesting correspondence come among Humean epistemology and with
the present-day quantitative psychology. Now according to the Hume the discovery of the
cause which affects the relationship that is based not only on the deductions or the thinking
but also on the mechanical propensity. Similarly, it has to be said for the science of
quantitative it is the way through the man-made reasons are to be exposed and very high
powered. There are also some algorithms which are followed in calculations of the
probabilities and the effected sizes and also other statistical descriptions for the variables that
are used for the analysis and there is also no adjustment for the specific case of the study and
to the specific statistical calculations (Cole, et. al., 2017). When it is in the inquiry in
scientific the automation is indications to death and also it ends due to the constraints in what
it is to be understood in the principle. And there is also another point where the researchers
may introduce the statistical type of data and the analysis which is agreed to the Hume but
there are also some modern researchers who disagree with these trends.
The quantitative method helps in analyzing the statistical data, mathematical calculations,
numerical data that is collected with the polls surveys and questionnaires. This research
analysis mainly focusing on collecting the numerical type of data and generating some
specific phenomenon. The major characteristics of the quantitative analysis are as the data is
collected in structured instruments that are supporting the research, the results are mainly
based on the larger size of the sample, and all the aspects for the study are designed carefully
before all the data is collected carefully.
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The quantitative analysis will give a true understanding of the nature and cause of conflicts
because quantitative analysis method uses structural format for describing the collected data
and this method mainly uses statistical data with mathematical calculation so due to this
method the information may gather of very large size and it is very useful for analyzing the
big information in less time inan accurate manner so that the researcher may conclude
properly about the problems and find out the accurate solutions (Wesoły, et. al., 2018).
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References
 Callina, K.S., Johnson, S.K., Tirrell, J.M., Batanova, M., Weiner, M.B. and
Lerner, R.M., 2017. Modeling pathways of character development across the first
three decades of life: An application of integrative data analysis techniques to
understanding the development of hopeful future expectations. Journal of youth
and adolescence, 46(6), pp.1216-1237.
 Chowdhury, M.F., 2015. Coding, sorting and sifting of qualitative data analysis:
Debates and discussion. Quality & Quantity, 49(3), pp.1135-1143.
 Cole, A.P. and Trinh, Q.D., 2017. Secondary data analysis: techniques for
comparing interventions and their limitations. Current opinion in urology, 27(4),
pp.354-359.
 Colorafi, K.J. and Evans, B., 2016. Qualitative descriptive methods in health
science research. HERD: Health Environments Research & Design Journal, 9(4),
pp.16-25.
 Houghton, C., Murphy, K., Shaw, D. and Casey, D., 2015. Qualitative case study
data analysis: An example from practice. Nurse researcher, 22(5).
 Michie, S., Wood, C.E., Johnston, M., Abraham, C., Francis, J. and Hardeman,
W., 2015. Behaviour change techniques: the development and evaluation of a
taxonomic method for reporting and describing behaviour change interventions (a
suite of five studies involving consensus methods, randomised controlled trials
and analysis of qualitative data). Health Technology Assessment, 19(99).
 Mihas, P., 2019. Qualitative data analysis. In Oxford Research Encyclopedia of
Education.
 Wesoły, M. and Ciosek, P., 2018. Comparison of various data analysis techniques
applied for the classification of pharmaceutical samples by electronic
tongue. Sensors and Actuators B: Chemical, 267, pp.570-580.
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