Analyzing Likert Response Items
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.
Descriptive statistics, such as means and standard deviations, have unclear meanings when applied to Likert scale responses. For example, what does the
Developed in 1932 by Rensis Likert to measure attitudes, the typical Likert scale is a 5- or 7-point ordinal scale used by respondents to rate the degree to
In terms of descriptive statistics, you add up the scores from each question to get the total score for each participant. You find the mean, or average, score and the standard deviation, or spread, of the scores for your sample. Likert scales are a practical and accessible method of collecting data.
These
summary statistics for each item on the scale indicate the content of the construct and the direction and intensity of each item’s contribution to the summated total score or summated subscale score.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, -test, ANOVA,t and regression procedures.
compute x=1 cta /vla var=x var1 disp=none /tab x by var1 [c] [count 'Count'] [layerpct 'n%'] + var1 [s] [mean] [mean] [stddev] [mode] [validn] /sla pos=column /cla rowlabel=layer. You would have to repeat this for every variable (var1, var2 etc) and each time take out the row with the figures you need.
