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Home/Data Transformation

Tag: Data Transformation

Statistics

Why Should Data Transformation Be Done Only Once?

By Kanda Data / Date Jul 11.2024

Data transformation is an essential step in inferential statistical analysis. It can be a solution to ensure that research data meets certain required statistical model assumptions, such as normality, linearity, and homoscedasticity.

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Statistics

Data Transformation to Address Non-Normally Distributed Data

By Kanda Data / Date Jun 18.2024

The assumption that data must be normally distributed is often a prerequisite for using certain inferential statistical tests. However, sometimes the test results do not meet expectations, indicating that the data is not normally distributed.

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Assumptions of Linear Regression

The data that cannot be transformed using natural logarithm (Ln)

By Kanda Data / Date Mar 11.2024

In quantitative data analysis, to ensure unbiased and consistent estimations, it’s important to meet several assumptions required in the conducted tests. However, sometimes, the test results may not meet the desired expectations.

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Statistics

Data That Cannot Be Transformed Using Natural Logarithm (Ln)

By Kanda Data / Date Jan 13.2024

In quantitative data analysis, data transformation is not a new concept. It is a process of converting the original form of data into another form to improve the data and meet the assumptions required for quantitative data analysis.

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Econometrics

Can Data Transformation Be Done More Than Once?

By Kanda Data / Date Oct 11.2023

For those of us accustomed to conducting research, understanding how to analyze data is a crucial skill to master. In the process, when we are processing data, we are sometimes faced with the choice of data transformation.

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