Analysis of likert scale

[Najmul Hoda]

Dear Members

Please suggest the ways in which analysis of likert data is done. In some books it is given that likert data and likert scale are two different things and need to be differently analysed.

What tests are appropriate?

How should we treat the likert scale? Is it a ratio scale?

Thanks

[Rekha Mishra]

To analyze Likert data, one need to understand the measurement scale represented by each. Numbers assigned to Likert-type items express a "greater than" relationship; however, how much greater is not implied. Because of these conditions, Likert-type items fall into the ordinal measurement scale. Descriptive statistics recommended for ordinal measurement scale items include a mode or median for central tendency and frequencies for variability. Additional analysis procedures appropriate for ordinal scale items include the chi-square measure of association, Kendall Tau B, and Kendall Tau C.

Likert scale data, on the other hand, are analyzed at the interval measurement scale. Likert scale items are created by calculating a composite score (sum or mean) from four or more type Likert-type items; therefore, the composite score for Likert scales should be analyzed at the interval measurement scale. Descriptive statistics recommended for interval scale items include the mean for central tendency and standard deviations for variability. Additional data analysis procedures appropriate for interval scale items would include the Pearson's r, t-test, ANOVA, and regression procedures. Table 3 provides examples of data analysis procedures for Likert-type and Likert scale data.

Thanks,

Best regards,

Rekha Mishra,

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[Rekha Mishra]

To properly analyze Likert data, one must understand the measurement scale represented by each. Numbers assigned to Likert-type items express a "greater than" relationship; however, how much greater is not implied. Because of these conditions, Likert-type items fall into the ordinal measurement scale. Descriptive statistics recommended for ordinal measurement scale items include a mode or median for central tendency and frequencies for variability. Additional analysis procedures appropriate for ordinal scale items include the chi-square measure of association, Kendall Tau B, and Kendall Tau C.

Likert scale data, on the other hand, are analyzed at the interval measurement scale. Likert scale items are created by calculating a composite score (sum or mean) from four or more type Likert-type items; therefore, the composite score for Likert scales should be analyzed at the interval measurement scale. Descriptive statistics recommended for interval scale items include the mean for central tendency and standard deviations for variability. Additional data analysis procedures appropriate for interval scale items would include the Pearson's r, t-test, ANOVA, and regression procedures.

Thanks,

Best regards,

Rekha Mishra,

On Sat, Jun 22, 2013 at 12:32 PM, Najmul Hoda <najmul...@gmail.com> wrote:

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[Neeraj Kaushik]

B'fully analyzed by Rekha.
I discussed the same topic with Prof CP Gupta, Delhi University.
He explained any question measured on Likert scale is essentially ordinal as
1. The respondent can't answer between the options (e.g. more than agree but less than strongly agree)
2. We can't be sure that whatever difference is there between Strongly agree & Agree, it is the same as between Agree & Neutral.
But likert scale is evaluated by summation of all statements (Remember its name was Summated Rating scale). Now when we add up all statements their sum will have a range (Ex: 5 point Likert scale filled by 100 respondents will have sum between 100 to 500) and here difference between any two points is exactly the same. Hence it falls under Interval observations.

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