Quantitative Research Methods

Quantitative Research
Methods

Contents
INTRODUCTION...........................................................................................................................1
MAIN BODY..................................................................................................................................1
Reviewing the data and the purpose of the research task............................................................1
Explaining clustering analysis and arguing for the best solution................................................3
Explaining group comparisons and identifying the hypothesis which can be tested using
ANOVA test................................................................................................................................4
Explaining regression analysis results.........................................................................................8
CONCLUSION................................................................................................................................9
REFERENCES..............................................................................................................................10

INTRODUCTION
“Quantitative research methods” is a combination of various tools and techniques which
help in analyse the numerical data in order to achieve the research aim. These methods that help
in analysing the data includes descriptive analysis, clustering, correlation, regression and many
more. The main aim of this report is to build an understanding about the interpretation approach
using which analysed data can be interpreted. In this report, given results of clustering are
reviewed and then analysed interpret the best clustering solution. Furthermore in this report,
ANOVA results are analysed to determine the hypothesis which can be tested by the information
which is present in the data results.
Lastly, the results of regression analysis are reviewed in order to interpret the regression
results with the help of elements in regression results which are correlation coefficients,
significance values and R value.
MAIN BODY
Reviewing the data and the purpose of the research task
The data which has been used to develop cluster analysis results, ANOVA tables and
regression analysis is collected using various data sources. These sources includes World health
organisation’s SPAR data, COVID 19 infectious and casualties by country over time, World
Bank data regarding population density and gross domestic product. The data set has various
dependent and independent variables which are classified by gaining the information from above
resources. The dependent variables in this data set are total infections of COVID 19 virus per
1000 infections, total causalities due to COVID 19 per 1000 population and operational readiness
of score of a country which is ready to fight against the consequences of COVID 19. There are
two categorical dependent variables as well; first of these variables is “dimensions”. In this
variable data regarding capacity to prevent, detect, respond and function of countries is recorded.
This variable has the data of overall scores of countries that has the capability of prevent, detect,
response and function against the disease caused by COVID 19. Last variable is criteria and
definitions of levels. There are five categories to these variables which showcases the functional
capacity of each country to prevent and control the risk due to COVID 19.
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