One can bifurcate the Likert scale into two types: Odd Likert Scale and the Even Likert Scale.ĭecide wisely, which type of Likert scale would provide the best results. This scale has gained tremendous popularity in online surveys and is used in every study, such as customer satisfaction, employee engagement, or employee satisfaction. Scales can be either a unipolar Likert scale or a bipolar Likert scale. Agreement, frequency, likelihood, quality, or importance can be measured using a Likert scale with corresponding anchors. The range provided in this scale is used to gain insights about respondent feelings and opinions. Named after its founder, psychologist Rensis Likert, the Likert scale question is used to understand the level of agreement that the respondents have with a particular statement. Over the years, they’ve evolved to become a favorite amongst survey makers as they obtain definite opinions, impressions, and approaches from the respondents. Likert Scale questions offer a range of answer options from either end of the spectrum for the respondents to choose from. In this blog, we will be looking at some of the best Likert scale examples used in su rve ys and questionnaires. Newbury Park, CA: Sage.Surveys are incomplete without an insightful Likert scale question. (I've seen Berry, 1993 cited as a source for an argument that five or fewer options is unacceptable, but I haven't read it myself.)īerry, W. I've seen it suggested that each item's Likert scale should have at least five options to approximate a normal distribution, and at least five Likert scale items should measure the same construct if their simple sum / average is to approximate a continuous dimension. The simple, "classical test theory" approach that weighs every item equally would probably have you just standardize all the items and average the $z$-scores, but I don't think that's a good idea, because four-point Likert scales may not approximate a continuous dimension well enough (and a binary item definitely won't it might not even make sense), nor can you be sure that the average of four polytomous items will be approximately continuous enough. You might be able to blend the partial credit and rating scale models this way by setting your six polytomous items' thresholds (each item will have three) to be equal across items, and estimating the binary items' single threshold independently (each could also have its own threshold, depending on how different the binary items are).but I'm not exactly sure this is all you'd need to do to have the best of both worlds.
![creating a likert scale survey with points creating a likert scale survey with points](https://images.ctfassets.net/qop92tnevinq/4wRKG77ND2l2u1kK7q6y7u/ec3e47c6a6fbcc84bc2c6aa8cc5fd2c8/likert-scale-web.png)
Some latent variable analysis programs will let you set certain thresholds to be equal across certain items and leave another item's threshold freely estimated. Wright posted some discussions of the differences between partial credit and rating scale models over at that might give you a better sense of what you'd be dealing with if you go the item response theory route here. If the four items with 4-point Likert scale ( polytomous) measurements are all on the exact same scale though, you might be better off dropping the binary items and using a rating scale model of the four polytomous items, depending partly on how much unique and valid information you get out of those binary items.
![creating a likert scale survey with points creating a likert scale survey with points](https://storage.googleapis.com/fplsblog/7-point-likert-scale-questionnaire-example.png)
![creating a likert scale survey with points creating a likert scale survey with points](https://blog.hubspot.com/hs-fs/hubfs/likertscaleexample.png)
If (or once) you're sure your six items are all measuring the same latent construct, you could use a partial credit model to account for differences in response scaling across all six items. and possibly Can one validly reduce the numbers of items in a published Likert-scale?.
#CREATING A LIKERT SCALE SURVEY WITH POINTS HOW TO#
How to carry out a Likert scale analysis?.Factor analysis of questionnaires composed of Likert items.If you're not sure your items are all measuring the same latent construct, you probably should consider exploratory item factor analysis. This answer is based on another answer of mine (which I've also adapted here), but this version is adapted to your question slightly.