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it depends what you researching? what are your hypotheses and how are you going to treat your variables (ordinal, continous)? what scale are u using? 3, 5, 7 or more?in one case the analysis is a bit limited on the other hand there are many choices like Pearsons linear Gronbachs alpha and so on

Q: How to analyze data ccollected using a likert scale?

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Likert scales are good because theyshow the strength of the person's feelings to whatever is in questionThey're easy to anylaseThey're easy to collect dataMore expansiveQuickHope this helps :)

If you are considering a single ordinal variable, determining the mode or median would be meaningful, but the mean or SD would not. Many researchers do consider likert-scale data to possess only ordinal qualities. However, leading research studies, for example in the marketing area, obtain measures such as means and standard deviations from likert-scale data. Indeed leading textbooks also follow this approach. One concern has been that the 'distances' between points on a likert scale are not equal, for example the 'distance' or 'difference' between a strongly disagree and disagree is not the same as the difference between disagree and neutral. A recent study discusses these issues, as well as demonstrating that data obtained from 5-point, 7-point and 10-point likert scales are approximately comparable in terms of mean score (once re-scaled) and various measures of variation and data shape. The study reference is Dawes, John "Do Data Characteristics Change According to the Number of Scale Points Used ? An Experiment using 5-point, 7-point and 10-point Scales" International Journal of Market Research, Vol 50 2008.

by using the matric system

a way to analyze and solve problems using the units, or dimensions, of the measurements.

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Likert scales are good because theyshow the strength of the person's feelings to whatever is in questionThey're easy to anylaseThey're easy to collect dataMore expansiveQuickHope this helps :)

The disadvantage of using this type of scale is that you can not make statements about some percentage of the population "agreeing" or "disagreeing" with something. The population is not being described in an absolute sense. You can only compare answers across groups or across similar samples over time. Additionally the rankings are dependent on the particular list given. For example, you might say that ice cream is good on a three point scale but very good on a 5 point scale.

Many researchers believe you should only report the results for individual likert items using the proportion of responses for each scale point. For example, 17% strongly agreed, 32% agreed, 10% neither agreed or disagreed and so on. The reason they say this is that likert data is not "equal interval" - the difference between strongly agree and agree is not the same as the difference between neutral and agree, for example. The data is said to be ordinal, not metric. However, this is actually not so much of an issue. Several research studies show have calculated the numerical difference between Likert-type scale points and showed they are very, very close to "equal interval". References for this are given in this paper: Dawes, John. "Do Data Characteristics Change According to the Number of Scale Points Used - an Experiment using 5-point, 7-point and 10-point scales", International Journal of Market Research Vol 50, no 1, 2008. In fact the data used for this experiment is available on the web, go to www.johndawes.com.au and click on "free data".

If you are considering a single ordinal variable, determining the mode or median would be meaningful, but the mean or SD would not. Many researchers do consider likert-scale data to possess only ordinal qualities. However, leading research studies, for example in the marketing area, obtain measures such as means and standard deviations from likert-scale data. Indeed leading textbooks also follow this approach. One concern has been that the 'distances' between points on a likert scale are not equal, for example the 'distance' or 'difference' between a strongly disagree and disagree is not the same as the difference between disagree and neutral. A recent study discusses these issues, as well as demonstrating that data obtained from 5-point, 7-point and 10-point likert scales are approximately comparable in terms of mean score (once re-scaled) and various measures of variation and data shape. The study reference is Dawes, John "Do Data Characteristics Change According to the Number of Scale Points Used ? An Experiment using 5-point, 7-point and 10-point Scales" International Journal of Market Research, Vol 50 2008.

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