# How Do You Know If A Likert Scale Is Reliable?

## How do you know if Cronbach’s alpha is reliable?

Theoretically, Cronbach’s alpha results should give you a number from 0 to 1, but you can get negative numbers as well.

A negative number indicates that something is wrong with your data—perhaps you forgot to reverse score some items.

The general rule of thumb is that a Cronbach’s alpha of .

70 and above is good, ..

## What happens if Cronbach alpha is low?

A low value of alpha could be due to a low number of questions, poor inter-relatedness between items or heterogeneous constructs. For example if a low alpha is due to poor correlation between items then some should be revised or discarded.

## When would you use Cronbach’s alpha?

Cronbach’s alpha is the most common measure of internal consistency (“reliability”). It is most commonly used when you have multiple Likert questions in a survey/questionnaire that form a scale and you wish to determine if the scale is reliable.

## Is Cronbach alpha 0.6 reliable?

A general accepted rule is that α of 0.6-0.7 indicates an acceptable level of reliability, and 0.8 or greater a very good level. However, values higher than 0.95 are not necessarily good, since they might be an indication of redundance (Hulin, Netemeyer, and Cudeck, 2001).

## Why is a Likert Scale good?

Likert Scales have the advantage that they do not expect a simple yes / no answer from the respondent, but rather allow for degrees of opinion, and even no opinion at all.

## How is Likert scale data calculated?

I came across two methods of Mean distribution of the findings. First method: 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).

## 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.

## 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).

## Can Likert scales be considered continuous?

Likert scales are a way for participants to respond to a question with a level of agreement, disagreement, satisfaction, and so on. … These both result in a number of categories much higher than the ordinal Likert scales they’re calculated from, which results in an approximately continuous variable.

## How do you check the reliability of a Likert scale?

Reliability can be easily determined with Cronbach’s alpha and intraclass correlations (ICC). You can apply the latter method for test-retest assessment at the item level. Alternatively, applying Pearson’s correlation to the correlation of the summed scale scores also works.

## Are Likert scales valid and reliable?

Likert-type scales have better reliability and validity among adolescents and adults with borderline IQ or mild ID. Pretests and clarifying questions increase reliability and validity.

## 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.

## How do you Analyse Likert scale results?

To properly analyze Likert data, one must understand the measurement scale represented by each. Numbers assigned to Likert-type items express a “greater than” relationship; however, how much greater is not implied. Because of these conditions, Likert-type items fall into the ordinal measurement scale.

## What is a Likert rating scale?

A Likert Scale is a type of rating scale used to measure attitudes or opinions. With this scale, respondents are asked to rate items on a level of agreement. For example: Strongly agree.

## When should you use a Likert scale?

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.

## Why are Likert scales bad?

The problem with a Likert scale is that the scale [of very satisfied, quite satisfied, neutral, quite dissatisfied, very dissatisfied, for example] produces ordinal data. … So it would seem that is wrong to calculate means from Likert scales.

## Is a Likert scale quantitative or qualitative?

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 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).