Is ANOVA used for Likert scale?
Technically, we shouldn't use an ANOVA to analyse ordinal data - but almost everyone does.
Most people would argue that if there are multiple Likert scale items that are averaged (which is the case in our study) and this averaged data are normally distributed, then it is not a problem..
What statistical analysis is best for Likert scale?
If you're looking to do some statistical analysis on a Likert scale survey, the rule of thumb is to use non-parametric tests, which mean Spearman's r for correlations, and Wilcoxon Signed-Rank (in place of the paired t-test) or Mann Whitney (in place of the independent samples t-test)..
What type of analysis is a Likert scale?
Researchers use surveys regularly to measure and analyze the quality of products or services.
The Likert scale is a standard classification format for studies.
The respondents provide their opinion (data) about the quality of a product/service from high to low or better to worse using two, four, five, or seven levels..
Which descriptive statistics to use for Likert scale?
Descriptive statistics recommended for interval scale items include the mean for central tendency and standard deviations for variability.
Additional data analysis procedures appropriate for interval scale items would include the Pearson's r, t-test, ANOVA, and regression procedures..
- The traditional way to report on a Likert scale is to sum the values of each selected option and create a score for each respondent.
This score is then used to represent a specific trait — satisfied or dissatisfied, for example — particularly when used for sociological or psychological research.