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Home/non-parametric statistics

Tag: non-parametric statistics

Alternative to the t-test When Data Are Not Normally Distributed

By Kanda Data / Date Feb 09.2026 / Category Statistics

The t-test is one of the most popular methods for comparing the means of two sample groups. In practice, the t-test can be used for two paired sample groups or two independent sample groups. We can perform this difference test using a paired-samples t-test or an independent-samples t-test, depending on the characteristics of the data being analyzed.

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Tutorial on Tabulating Likert Scale Data for Social Research

By Kanda Data / Date Jul 18.2025 / Category Nonparametric Statistics

In social research, many researchers measure variables using the Likert scale. Have you ever conducted research involving variables measured with the Likert scale? In this article, Kanda Data will discuss variables measured using the Likert scale and provide a tutorial on how to tabulate Likert scale variables.

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Nonparametric Statistics

Data Measurement Scales for Likert Scale Variables in Non-Parametric Statistics

By Kanda Data / Date Jun 14.2024

The use of variables measured with the Likert scale is certainly familiar to us. This scale is often applied in research involving non-parametric variables.

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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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Nonparametric Statistics

Binary Logistic Regression Analysis in Research | Basic Theory

By Kanda Data / Date Oct 14.2023

Regression analysis has become a staple tool among researchers. Indeed, regression analysis serves as a familiar associative test, aiming to discern the impact of one variable on another.

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Statistics

Understanding the Difference between Parametric and Non-Parametric Statistics

By Kanda Data / Date Jun 11.2022

The selection of data analysis methods is an important step that researchers must prepare. The correct analytical method will obtain the proper conclusion.

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  • Alternative to the t-test When Data Are Not Normally Distributed
  • When Should Natural Logarithmic Data Transformation Be Applied?
  • Should Data Normality Testing Always Be Performed in Statistical Analysis?
  • Differences in Nominal, Ordinal, Interval, and Ratio Data Measurement Scales for Research
  • Reasons Why the R-Squared Value in Time Series Data Is Higher Than in Cross-Section Data
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