PDF Using SPSS, Handout 2: Descriptive statistics - University of Sussex levels = c("1", "2", "3", "4", "5") Descriptive statistics are used to describe the basic features of the data in a study. data, Summary treating Likert data as nominal data, Interaction plot using medians and quartiles, Interaction plot using medians and confidence The data in the worksheet are five-point Likert scale data for two groups Bishop and R.L. Survey questions that ask you to indicate your level of agreement, from strongly agree to strongly disagree, use the Likert scale. SPSS refers to these as "scale" and "nominal" respectively. 6 6.25 7.0 7.75 9 How to Design and Report Likert Scale - UKEssays.com Information a on a continuum from strongly agree to strongly disagree, and makes the assumption that attitudes can be measured. Spongebob 0.0000 0.0000 0.0556 0.1111 0.2222 0.1667 0.1667 0.1667 0.0556 Mean is easy to calculate: It is easy to see the relationship between the raw data and the mean. :6 Descriptive statistics are used to summarize the collected data. g. Describe these results, including your opinions on the digits=3), Question n data framelibrary(psych)headTail(Data), Speaker Rater Likert Likert.f1 Maggie NY: Academic Press. Wilcoxon rank sum test with continuity correction, data: as.numeric(dt_wc[, 1]) by as.factor(gender) Tukey (2001) Understanding Robust and Exploratory Data Analysis instead. Artino (2013) Analyzing and Interpreting Data From Likert-Type Scales, Journal of Graduate Medical Education, December, page 541. the previous interaction plot. 1st Qu. 4 48 Maggie the counted variable is ordinal in nature, as Likert.f is. Q1, Q3 from this data frame. XT = xtabs(~Q1) It is safest to assume that all people have a vicious streak and it will come out when they are given a chance.