Quantitative Research Methods

Table of Contents

Abstract.

Introduction.

The research question.

Background.

Methodology.

Data analysis and discussion.

Conclusion.

References.

Abstract on Quantitative Research Methods

The project in this study evaluated the effect of both the export and the business growth on the GDP of the country. The project used the secondary data to investigate the effect of both the export and the business growth on the GDP. The results indicated that there was significant positive effect on the export on the GDP since the p-value was less than 0.05 significant level. The results also indicated that there was significant effect of the business growth on the GDP since the p-values was less than 0.05 significant level.

Introduction to Quantitative Research Methods

This multivariate project will investigate the relationship between the GDP and the expert in business, business growth and the new product in the business. The project will use secondary data obtained from the website on the business progress from 2008 to 2014. The project used the multivariate regression analysis to determine if there is relationship between the dependent variable (GDP) and the independent variables. The purpose of the study was to investigate the effect of the export on the GDP of the country. The other objective of the project was to investigate the effect of the business growth on the GDP of the country.

The Research Question

What effect does export of the business over years have on the GDP of a country?

What effect does the business growth of the business over the year have on GDP of county?

Hypothesis

  1. The null hypothesis: there is no significant effect of the export on the GDP of a country
  2. The null hypothesis: there is no significant effect of the business growth on the GDP of a country

Background of Quantitative Research Methods

Export in business has been associated with business growth and high profitability for many years (Ansah, & Kwofie, 2018). The exports is also associated with the business growth and hence can be a great effect to the GDP of the country (Maity, & Ramsundar, 2013). They begin to spend less as they are already burdened with the prices and additional tax which causes more increase in prices and this has thereby proved positive relationship between the Export and consumer spending behaviour which needs to be addressed by the marketers as well as the influence of economic variables affects consumers directly, (Nazer, 2016). The lower income brackets of the society need help in case of Export and are most affected by it as the burden falling on them is very heavy on their shoulders, (Bagus et al., 2014).

Methodology of Quantitative Research Methods

The data was collected from the secondary database on business and economy. The data was first checked for any outliers and missing values. The data was analyzed using spss version 24. The statistical method used in this study was the multiple regression.

Data Analysis and Discussion on Quantitative Research Methods

Table 1: the descriptive statistics

Descriptive Statistics

 

N

Minimum

Maximum

Mean

Std. Deviation

SU_e2p - Export rate

139

1.4200

72.0897

32.077563

16.2700122

GDP

139

548.6000

101248.1000

25121.315108

23266.1490431

TEAEMP - Medium job growth

139

1.8920

23.4487

8.192409

5.1412860

Valid N (listwise)

139

       

The analysis of the descriptive indicate that the mean export rate was 32.077563 with a standard deviation of 16.2700122. The analysis also indicate the mean GDP was 548.600 with a standard deviation of 23266.1490431. The analysis also indicate that the mean medium growth rate was 1.8920 with a standard deviation of 5.1412860.

Table 2:Model summary

Model Summary

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

1

.539a

.291

.259

20030.7287700

a. Predictors: (Constant), Teacm2 - Limited competition rate , TEAEMP - Medium job growth , Teacs1 - New product , SU_e2p - Export rate , SU_e3p - Substantial export rate , TEAHJG - High job growth

From the analysis of the model adequacy, it can be observed that the coefficient of determination was equal to 0.291 which implies that the model can account for 29.1% of the total variability in the GDP due to the limited competition rate, medium job growth, new product, export rate, substantial export rate, and high job growth

Table 3: The analysis of variance of regression

ANOVAa

Model

Sum of Squares

Df

Mean Square

F

Sig.

1

Regression

21738916851.160

6

3623152808.527

9.030

.000b

Residual

52962372547.798

132

401230095.059

   

Total

74701289398.958

138

     

a. Dependent Variable: GDP

b. Predictors: (Constant), Teacm2 - Limited competition rate , TEAEMP - Medium job growth , Teacs1 - New product , SU_e2p - Export rate , SU_e3p - Substantial export rate , TEAHJG - High job gwoth

From the analysis of variance results, it can be observed that the p-value = 0.000 which was less than 0.05 significant level. This means that there was significant relationship between the dependent variable Growth domestic product and the independent variables; limited competition rate, medium job growth, new product, export rate, substantial export rate, and high job growth

Table 4:The coefficient of the independent variables analysis

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

B

Std. Error

Beta

1

(Constant)

15939.965

8826.013

 

1.806

.073

SU_e2p - Export rate

391.908

129.967

.274

3.015

.003

SU_e3p - Substantial export rate

-316.739

286.653

-.093

-1.105

.271

TEAEMP - Medium job growth

-2051.868

482.668

-.453

-4.251

.000

TEAHJG - High job growth

1454.856

2771.612

.060

.525

.601

Teacs1 - New product

-93.828

190.570

-.040

-.492

.623

Teacm2 - Limited competition rate

455.860

227.645

.159

2.003

.047

a. Dependent Variable: GDP

From table 3, the coefficient of the export rate was 391.908 with a p-value = 0.003 which was less that 0.05 significant level. This mean that there was sufficient evidence that the export rate influences the Growth domestic product (GDP) positively. The analysis also indicate that the coefficient of substantial export rate was -316.739 with a p-value of 0.271 which was greater than 0.05 significant level. This means that there was sufficient evidence that the substantial export rate does not have significant effect on the GDP. The analysis indicate that the coefficient of medium growth rate was -2051.868 with a p-value= 0.000 which was less than 0.05 significant level. This means that there was sufficient evidence that the medium growth rate significantly affect the GDP. The analysis indicate that the coefficient of high job growth was 1454.856 with a p- value= 0.601 which was less than 0.05 significant level. This means that there was sufficient evidence that there was no significant effect of the high job growth on the GDP. The analysis also indicate the coefficient of limited competition rate was 455.860 with a p- value = 0.047 which was less than 0.05 significant level. This implies that the limited competition significantly affect the GDP

Conclusion on Quantitative Research Methods

From the results, the project conclude that the export of the business in a country affect the GDP positively. This implies that an increase in the level of export of the business influences the GDP of the country positively. The project also conclude that the limited competition of the business positively affect the GDP of the business in the country. This means that as there is less competition in the business the higher the GDP of the country will grow.

References for Quantitative Research Methods

Ansah, R.K. & Kwofie, C. (2018). A Study of the Effect of Inflation and Exchange Rate on Stock Market

Returns in Ghana. International Journal of Mathematics and Mathematical Sciences, Article ID

Bagus, P., David H. & Amadeus G. (2014). Causes and Consequences of Inflation. Business and Society

Khan, M. (2014). The Effects of Inflation on Economic Growth and on its Macroeconomic Determinants. Economics and Finance. Université d’Orléans, English.

Maity, S.K. & Ramsundar, B. (2013). Impact of Economic Inflation on different levels of Education in West Bengal. Journal of Empirical Economics,Research Academy of Social Sciences, 1(4), 135

Martinez, F.V., Preciado, V.H.T. & Zermeño, M. A.T. (2018). Effects of Inflation on Financial Sector

Performance: New Evidence from Panel Quantile Regressions. Investigación económica, 77 (303)

Nazer, Y. (2016). Causes of Inflation in Saudi Arabia. The Business and Management Review, 7(3), 147-154

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