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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.
What else can I help you with?
What type of data would the total score in a likert scale be?
That depends upon whom you ask, as there is some degree of controversy around Likert scales. Many people, myself included, would consider it interval data, and it is usually interpreted that way. However, there is another school of thought that says that Likert data is ordinal at best. Both sides of the debate have valid points, and this question hasn't been settled.
What is ordinal statistics?
Ordinal statistics or data is classified as ordinal if the values can be rated on a scale or put i order. Ordinal data can be counted but never measured.
Which graph is best used to display data from a Leichardt scale?
I think you mean a Likert scale, i.e. a scale that gives ordered responses that have no real numerical value, for example "Strongly agree, agree, neutral, disagree, strongly disagree." This is ordinal level data and is probably best displayed in a bar graph, with one bar for each possible answer.
How to analyze data ccollected using a likert scale?
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
What are 5 different types of scale?
Five different types of scales include: Nominal Scale: Categorizes data without any order, such as gender or types of fruit. Ordinal Scale: Ranks data in a specific order, like customer satisfaction ratings (e.g., poor, fair, good). Interval Scale: Measures variables with equal intervals but no true zero, such as temperature in Celsius. Ratio Scale: Contains all the properties of an interval scale, but includes a true zero, like height or weight. Likert Scale: Often used in surveys, it measures attitudes by providing a range of response options, such as from "strongly agree" to "strongly disagree."
What type of data would the total score in a likert scale be?
That depends upon whom you ask, as there is some degree of controversy around Likert scales. Many people, myself included, would consider it interval data, and it is usually interpreted that way. However, there is another school of thought that says that Likert data is ordinal at best. Both sides of the debate have valid points, and this question hasn't been settled.
What is ordinal statistics?
Ordinal statistics or data is classified as ordinal if the values can be rated on a scale or put i order. Ordinal data can be counted but never measured.
Is a Likert scale quantitative or qualitative?
A Likert scale is considered a quantitative measurement tool because it assigns numerical values to responses and allows for numerical analysis of data.
Can you use spss to analyze Data collected on Likert scale?
Absolutely. SPSS doesn't care how you collect data; it just analyzes that data that you input. Likert scale data is usually treated as continuous, although this practice is not without some controversy from more conservative researchers.
Which graph is best used to display data from a Leichardt scale?
I think you mean a Likert scale, i.e. a scale that gives ordered responses that have no real numerical value, for example "Strongly agree, agree, neutral, disagree, strongly disagree." This is ordinal level data and is probably best displayed in a bar graph, with one bar for each possible answer.
Is likert scale qualitative or quantitative?
Quantitative
How to analyze data ccollected using a likert scale?
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
How is it that business researchers can justify treating a seven point Likert scale as interval?
Business researchers often justify treating a seven-point Likert scale as interval data because the scale provides an ordered range of responses that are equidistant, allowing for meaningful mathematical operations. They assume that the differences between scale points represent equal intervals of the underlying variable being measured, facilitating the use of parametric statistical techniques. While strictly speaking, Likert scales are ordinal, the interval treatment is common in practice due to its practical utility in analyzing survey data. This justification is further supported by the central limit theorem, which allows for the approximation of distributions under certain conditions, making parametric tests applicable.
Reporting likert scale results?
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".
How many times is diamond harder than sapphire?
You can see in the link, below, that a diamond is ranked as 10 on the Mohs scale of hardness, while a sapphire is ranked as 9. The Mohs scale ranks the hardness of minerals.The Mohs scale is an ordinal scale, meaning -- from Wikipedia:"Rank-ordering data simply puts the data on an ordinal scale. Ordinal measurements describe order, but not relative size or degree of difference between the items measured. "
IS GPA nominal data or ordinal?
It is ordinal.
What are 5 different types of scale?
Five different types of scales include: Nominal Scale: Categorizes data without any order, such as gender or types of fruit. Ordinal Scale: Ranks data in a specific order, like customer satisfaction ratings (e.g., poor, fair, good). Interval Scale: Measures variables with equal intervals but no true zero, such as temperature in Celsius. Ratio Scale: Contains all the properties of an interval scale, but includes a true zero, like height or weight. Likert Scale: Often used in surveys, it measures attitudes by providing a range of response options, such as from "strongly agree" to "strongly disagree."
