If you are going to create a scale from your Likert-format items, then they all need to be scored in the same direction. If that is not the case, then you should recode any "reversed" items.
Yes, you can use reverse coding in a Likert scale, but it's important to keep in mind that it can have implications for data analysis.
When using a reverse scoring pattern in a Likert scale, you need to ensure that the scoring system is consistent throughout the survey. For example, if some items are reverse scored and others are not, it can create confusion and make it difficult to interpret the results.
Also, when using reverse coding, it's important to be consistent in the way you present the scale in the survey, and clearly indicate that reverse coding has been used. This will help participants understand how to respond to the items and avoid confusion.
When it comes to ranking, if you have used a reverse scoring pattern, you'll need to reverse the scores for the items that have been reverse coded before ranking them. This will ensure that the ranking is based on the correct scores and that the highest scores represent the most favorable attitudes, beliefs or perceptions.
It's always good to keep in mind that reverse coding can be a complex process and it's important to understand the implications of using it. If you're facing issues while ranking, it might be helpful to consult with an expert or statistician to help you with the data analysis.
Yes, reverse coding can be used with Likert scale data. Reverse coding involves reversing the scores assigned to each response option, so that the highest score corresponds to the most negative response and the lowest score corresponds to the most positive response. This is often done when the statements on a Likert scale are worded in a negative way, so that the scores will reflect a more positive perspective. For example, if the original scale has responses ranging from "strongly disagree" to "strongly agree," a reverse-coded version of the scale would have responses ranging from "strongly agree" to "strongly disagree."