What is the most appropriate way to determine reliability with Likert scales?

All Answers (4) The usual way to calculate reliability with Liker-scored items is to use Cronbach’s alpha. If the items file to form a single scale, then you should consider Exploratory Factor Analysis.

Can Likert scales be treated as interval scales?

The Likert scale is widely used in social work research, and is commonly constructed with four to seven points. It is usually treated as an interval scale, but strictly speaking it is an ordinal scale, where arithmetic operations cannot be conducted.

When should Likert scales be used?

It is often used to measure respondents’ attitudes by asking the extent to which they agree or disagree with a particular question or statement. A typical scale might be “Strongly disagree, Disagree, Neutral, Agree, Strongly agree.” Likert scales may meet your needs when you have attitude, belief, or behavior items.

Should a Likert scale ever be treated as though it had ordinal properties Why or why not?

The simple answer is that Likert scales are always ordinal. The intervals between positions on the scale are monotonic but never so well-defined as to be numerically uniform increments. That said, the distinction between ordinal and interval is based on the specific demands of the analysis being performed.

How do you evaluate Likert scale data?

A Likert scale is composed of a series of four or more Likert-type items that represent similar questions combined into a single composite score/variable. Likert scale data can be analyzed as interval data, i.e. the mean is the best measure of central tendency. use means and standard deviations to describe the scale.

Is a Likert scale ordinal data?

Likert items are used to measure respondents’ attitudes to a particular question or statement. To analyse the data it is usually coded as follows. One must recall that Likert-type data is ordinal data, i.e. we can only say that one score is higher than another, not the distance between the points.

Is Likert scale data continuous?

The same Likert scale can be used with another set of data where the values for 1-strongly agree differ from values used in a different study where 1-Strongly agree was used. For this reason, Likert scale fails the continuous data definition as it lacks definite zero – the starting point depends with the researcher.

What does a Likert scale do?

Likert scale, rating system, used in questionnaires, that is designed to measure people’s attitudes, opinions, or perceptions.

Can ordinal data be treated as interval data?

All ordinal data is not the same. Then there are other instances of ordinal data for which it is reasonable to treat it as interval data and calculate the mean and median. It might even be supportable to use it in a correlation or regression.

How do you Analyse Likert scale data?

Ordinal vs interval level data Your data can be divided into these two different types because they are associated with separate analysis procedures. data from individual Likert-type questions are treated as ordinal level. data from the overall Likert scale are treated as interval level.

Are Likert scales ordinal or interval scales?

Are Likert scales ordinal or interval scales? Individual Likert-type questions are generally considered ordinal data, because the items have clear rank order, but don’t have an even distribution. Overall Likert scale scores are sometimes treated as interval data. These scores are considered to have directionality and even spacing between them.

How do you test for independence in Likert scale?

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.

Can I use Likert scale data in a Kruskal Wallis test?

For example, the results from an ANOVA that treats Likert scale data as interval should be consistent with those from a Kruskal-Wallis test that treats the scale data as ordinal. In my experience, it’s uncommon to get drastically inconsistent results.

What’s the catch with the Likert scale?

Here’s the catch to Likert scale: many researchers will treat it like an interval scale. This means that the differences between each response are equal in distance. The truth is that the Likert scale does not tell us this.