## What statistical analysis should I use for Likert scale data?

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For ordinal data (individual Likert-scale questions), use non-parametric tests such as Spearman’s correlation or chi-square test for independence. For interval data (overall Likert scale scores), use parametric tests such as Pearson’s r correlation or t-tests.

## How do you Analyse a 5 point Likert scale?

To determine the minimum and the maximum length of the 5-point Likert type scale, the range is calculated by (5 − 1 = 4) then divided by five as it is the greatest value of the scale (4 ÷ 5 = 0.80). Afterwards, number one which is the least value in the scale was added in order to identify the maximum of this cell.

**How do you interpret Likert scales?**

0.01 to 1.00

mean score from 0.01 to 1.00 is (strongly disagree);…First method:

- From 1 to 1.80 represents (strongly disagree).
- From 1.81 until 2.60 represents (do not agree).
- From 2.61 until 3.40 represents (true to some extent).
- From 3:41 until 4:20 represents (agree).
- From 4:21 until 5:00 represents (strongly agree).

**Can chi square test be used for Likert scale?**

A variety of options for analyzing Likert scale data exist including the chi square statistic. The chi square statistic compares survey respondents’ actual responses to questions with expected answers to assess the statistical significance of a given hypothesis.

### Is the Likert scale qualitative or quantitative?

Likert scale items measure opinions and perceptions of participants on latent variables under investigation. Whether such a scale is in 5 or 7 point, it is a quantitative measurement. In spite of this nature of Likert scale instruments, they can be analyzed both qualitatively and quantitatively.

### How do you Analyse ordinal data?

The simplest way to analyze ordinal data is to use visualization tools. For instance, the data may be presented in a table in which each row indicates a distinct category. In addition, they can also be visualized using various charts. The most commonly used chart for representing such types of data is the bar chart.

**Can Chi Square be used for Likert scale?**

**Can Likert scales be used in Anova?**

While developing Likert type scales we consider these as summated scales, then why not ANOVA. Yes, you can use ANOVA after obtaining summed up score of all statements (reverse the score of a statement according to positive or negative nature of the statement) of each individual of the group.