We all know that quantitative research demands statistical techniques to validate results and conclusions.
- Descriptive Statistics
- Regression and Correlation
- Variance, ANOVA and ANCOVA
- Chi-square
- Hypothesis test
- ... and so on...
Do you have a clue about which one is the most used on BRICS studies?
I don't understand why it matters for BRICS or any specific country
Dear Mirna,
Thanks for sharing your doubt.
It´s part of a survey about how BRICS economies are doing Economic research - regarding sofistication level and knowledge level about economic models and statistical techniques.
It´s hard to understand when you look just this question, I know. Seems to be "empty", but there is a purpose. Believe me. :)
Thanks for answering.
Best.
Hess
This article explains it more: Article Inputs and outputs of innovation: analysis of the BRICS
Did you know?
In a short study about this question, considering:
a) Google Scholar results gatered in January, 31 - 2018 (with each search key) on the abstracts of BRICS articles
b)Keys: "Economics" and "country" and "statistical technique"
c) The ten most used techniques in economic studies in BRICS
We have found that:
This % were done applying:
63% Time series
13% Correlation
9% Hypothesis test
5% Descriptive statistics
5% Qualitative study
1% Bayesian statistics
1% Chi-Square
1% Nonparametric statistics
1% ANOVA
1% Quantitative study
Seems that there is a preferency for time series in Economic studies, followed by correlational studies and hypothesis testing options.
We have found that:
Brazil 1.837.900 13%
Russia 1.437.400 10%
India 3.637.600 25%
China 3.869.800 27%
S Africa 3.781.500 26%
Although S.Africa has just about 56mi people, it responds for about the same quantity of economic studies that India (1,3bi) and China (1,4bi)
We have found that:
Although S.Africa has just about 56mi people, it responds for more economic studies that Brazil (200mi) and Russia (145mi) as a total.
S Africa - 3.781.500 26%
Brazil - 1.837.900 13%
Russia - 1.437.400 10%
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