![]() Some researchers consider Likert scale data as interval data because they believe parametric tests are more accurate in determining and interpreting inferences. Typically, when a balanced Likert scale is used with proper symmetry and balance, the data may act like interval-level data despite the scale being ordinal. This leaves us with the question of whether Likert scale data should be considered as ordinal or interval-level. We mean by this: is the distance between ‘strongly agree’ and ‘somewhat agree’ the same as the distance between ‘somewhat agree’ and ‘neutral’? Without equidistant categories, there is a chance of the results being biased in favor of a positive outcome.Ī well-designed Likert scale boasts symmetry between categories, with clear qualifiers labeling each point. The main conflict arises when the topic of the distance between each successive point comes into question. Conventionally, these values are progressive, positive integers. The values assigned to each point on the scale are determined by the researcher or surveyor who designed the questionnaire. One of the key points in this debate arises from the fact that the scale is arbitrary. There are different schools of thought, with the conflict rooted in whether the points on the Likert scale are equidistant and equivalent. When it comes to analyzing Likert scale data, there is some debate on whether the data itself should be considered interval-level or ordinal.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |