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).