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Author: Kanda Data

Use Stratified Random Sampling When the Population Is Not Entirely Homogeneous

By Kanda Data / Date Aug 07.2025 / Category Research Methodology

Sampling techniques are very important, especially when we’re observing a specific population. By taking samples, we can save on costs, time, and effort—yet still obtain results that represent the population being studied.

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Snowball Sampling Technique: A Solution When the Population Size Is Unknown

By Kanda Data / Date Aug 04.2025 / Category Research Methodology

In conducting research, we generally take samples from a population under observation. Of course, it’s much easier if we already have data on the population size, so we can take a representative sample that reflects the population as a whole.

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How to Create Dummy Variables in Multiple Linear Regression Analysis

By Kanda Data / Date Jul 31.2025 / Category Econometrics

For those of you conducting multiple linear regression analysis, have you ever used dummy variables? These variables are very useful when we want to include categorical variables in a multiple linear regression equation.

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How to Detect Normally Distributed Data in Linear Regression Analysis

By Kanda Data / Date Jul 28.2025 / Category Econometrics

When you conduct data analysis using linear regression, there are several assumptions that must be met. We need to fulfill these assumptions to ensure that the estimation results are consistent and unbiased.

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If the Data Is Not Normally Distributed, Can We Still Use the Paired Sample t-Test?

By Kanda Data / Date Jul 23.2025 / Category Comparison Test

In parametric statistical analysis, there are generally several assumptions that must be met to ensure the estimation results are unbiased. One of the key assumptions is that the data must be normally distributed. Now, if my aim is to determine the mean difference between two paired sample groups but the data is not normally distributed, can the paired sample t-test still be used? In this article, I will discuss this further.

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Understanding Cross-Section, Time Series, and Panel Data Structures in Research

By Kanda Data / Date Jul 19.2025 / Category Statistics

For those of you currently conducting research, I believe it’s important to have a solid understanding of data structure before starting. This is crucial because the structure of your data will determine the appropriate analytical tools to use when analyzing your research results.

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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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Tutorial on One-Way ANOVA Test for Non-Laboratory Research

By Kanda Data / Date Jul 14.2025 / Category Statistics

The one-way ANOVA test is a parametric statistical test used to examine the differences in means across more than two sample groups. It is important to emphasize that the one-way ANOVA is only applicable when comparing three or more groups. If you are comparing the means of only two groups, then a t-test should be used instead.

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