# Can Chi Square Be Used For Likert Scale?

## What is Likert scale with example?

A Likert scale is basically a scale used to represent people’s opinions and attitudes to a topic or subject matter.

The Likert scale ranges from one extreme to another, for example “extremely likely” to “not at all likely.

It uses psychometric testing to measure beliefs, attitudes, and opinions of subjects..

## Why would you use a Likert scale?

The Likert scale is commonly used in public health evaluation. … A Likert scale is an ordered scale from which respondents choose one option that best aligns with their view. It is often used to measure respondents’ attitudes by asking the extent to which they agree or disagree with a particular question or statement.

## How do you read a neutral on a Likert scale?

mean score from 0.01 to 1.00 is (strongly disagree); to 2.00 is (disagree); from 2.01 until 3.00 is (neutral);

## What is an example of nominal scale?

Nominal Scale. A nominal scale is a scale (of measurement) that uses labels to classify cases (measurements) into classes. Some examples of variables that use nominal scales would be religious affiliation, sex, the city where you live, etc. One example of a nominal scale could be “sex”.

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

Modes, medians, and frequencies are the appropriate statistical tools to use. If you have designed a series of questions that when combined measure a particular trait, you have created a Likert scale. Use means and standard deviations to describe the scale.

## Can Anova be used for Likert scale?

ANOVA is a comparison of means but a Likert scale is ordinal data. With continuous data (like temperature), you could use ANOVA because the change in temperature from 10 to 11 is the same as 20 to 21. With ordinal data, you’ll have things like “1= strongly disagree” up to “5=strongly agree”. … But ANOVA might be OK.

## Is Likert scale qualitative or quantitative?

Rating scales do not produce qualitative data, irrespective of what the end-point labels may be. Data from Likert scales and continuous (e.g. 1-10) rating scales are quantitative. These scales assume equal intervals between points.

## How can you tell if data is qualitative or quantitative?

There exists a fundamental distinction between two types of data: Quantitative data is information about quantities, and therefore numbers, and qualitative data is descriptive, and regards phenomenon which can be observed but not measured, such as language.

## Why do we use 5 point Likert scale?

In its final form, the Likert scale is a five (or seven) point scale which is used to allow the individual to express how much they agree or disagree with a particular statement.

## How can you analyze data from a Likert scale?

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.

## What type of data is Likert scale?

Likert-type scales are ordinal data in that there is order and in that (unlike interval or other data types) distances between response categories are not quantitative/numerical.

## Should I use middle position on Likert scale?

You insert a midpoint on the Likert scale to allow respondents to express a neutral opinion between disagreement on one side and agreement on the other. … For a midpoint of neutrality, neutral or neither agree nor disagree are often used.

## Is age ordinal or nominal?

Age can be both nominal and ordinal data depending on the question types. I.e “How old are you” is a used to collect nominal data while “Are you the first born or What position are you in your family” is used to collect ordinal data. Age becomes ordinal data when there’s some sort of order to it.

## Is a rating scale ordinal?

Ordinal refers to quantities that have a natural ordering. The ranking of favorite sports, the order of people’s place in a line, the order of runners finishing a race or more often the choice on a rating scale from 1 to 5. … For example, we often using rating scales (Likert questions).

## What is the difference between a Likert scale and a Likert type scale?

The difference between the Likert-type scale and a full-blown Likert scale is that the Likert-type scale only uses a five-point (or seven-point, or whatever you prefer) to answer on a single question. A full-blown Likert scale on the other hand uses a series of statements that explore different dimensions of a subject.

## Is Likert scale nominal or ordinal?

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 calculate 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).

## What type of variable is a Likert scale in SPSS?

In some cases, the measurement scale for data is ordinal, but the variable is treated as continuous. For example, a Likert scale that contains five values – strongly agree, agree, neither agree nor disagree, disagree, and strongly disagree – is ordinal.

## Is GPA qualitative or quantitative?

General rule of thumb: if you can add it, it’s quantitative. For example, a G.P.A. of 3.3 and a G.P.A. of 4.0 can be added together (3.3 + 4.0 = 7.3), so that means it’s quantitative.

## How should Likert scale options be ordered?

When using Likert-type scales, you may list the response options in: ascending order (e.g., Strongly Disagree, Somewhat Disagree, Neutral, Somewhat Agree, Strongly Agree) or. descending order (e.g., Strongly Agree, Somewhat Agree, Neutral, Somewhat Disagree, Strongly Disagree).