- Is Cronbach alpha 0.6 reliable?
- Can I use regression for Likert scale?
- What happens if Cronbach alpha is low?
- What is the minimum acceptable level of reliability?
- How do you know if a Likert scale is reliable?
- Are Likert scales good?
- Can Likert scales be considered continuous?
- Is Likert scale qualitative or quantitative?
- What is a good number for Cronbach’s alpha?
- Why are Likert scales bad?
- How is Likert scale data calculated?
- Is a Likert scale categorical or quantitative?
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)..
Can I use regression for Likert scale?
In the question, the researcher asked about logistic regression, but the same answer applies to all regression models. 1. There is a difference between a likert scale item (a single 1-7 scale, eg.) … There are NO assumptions about the distribution of the predictor (independent) variables in any regression.
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.
What is the minimum acceptable level of reliability?
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).
How do you know if a Likert scale is reliable?
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 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. Therefore quantitative data is obtained, which means that the data can be analyzed with relative ease.
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.
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.
What is a good number for Cronbach’s alpha?
The general rule of thumb is that a Cronbach’s alpha of . 70 and above is good, . 80 and above is better, and . 90 and above is best.
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.
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).
Is a Likert scale categorical or quantitative?
Categorical for a likert scale as it is an ordinal variable. There is some debate on this topic as some people choose to see it as a continuous variable.