Tag: Likert scale
Tutorial on Tabulating Likert Scale Data for Social Research
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.
How to Analyze Likert Scale Variables | Non-Parametric Ordinal Scale Variables
Non-parametric variables measured using the Likert scale (ordinal scale) have a slightly different analysis approach compared to parametric variables. This Likert scale approach is often used in social and management research. In such studies, we are often confronted with variables that cannot be directly quantified.
Correlation Analysis on Non-Parametric Variables Measured Using Likert Scale
For researchers, correlation analysis is a familiar tool used to measure the strength and direction of the relationship between two variables. However, correlation analysis on non-parametric variables measured using the Likert scale has fundamental differences compared to correlation analysis on parametric variables.
Data Measurement Scales for Likert Scale Variables in Non-Parametric Statistics
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.
The Differences Between Nominal Data Scale and Ordinal Data Scale in Research Variable Measurement
In statistical analysis, data measurement scales are divided into four main categories namely nominal scale, ordinal scale, interval scale, and ratio scale. A proper understanding of the differences among these scales is crucial for determining the appropriate data analysis method.
Reasons why Likert scale variables need to undergo validity and reliability testing
A solid understanding of statistics, I believe, is crucial for researchers to master. Having a good grasp of statistics will lead us to choose the appropriate statistical methods in research.
How to Analyze Correlation between Ratio and Ordinal Scale Variables (Different Measurement Scales)
In correlation analysis, we often use Pearson correlation to test the relationship between variables measured on a ratio/interval scale. Variables measured on a ratio/interval scale have a greater potential to meet the normality assumption for data testing.
How to Analyze Correlation and Interpret for Variables Measured Using the Likert Scale
Researchers can choose correlation analysis to examine the relationship between variables. The selection of correlation analysis techniques depends on the scale of measurement used for the data. In statistics, the data measurement scale of a variable consists of nominal, ordinal, interval, and ratio scales.