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Aug 2, 2023 at 14:36 comment added YasG I am going through the data again and have seen that I only have 8 respondents to both Likert scales therefore I doubt how viable any statistical tests will be given this minimal sample size!
Aug 2, 2023 at 6:15 comment added YasG I do not think my data qualifies as paired. The participants filled in 1 questionnaire which contained (amongst other questions) 2 Likert Scale questions testing 2 completely different aspects (perception vs self-assessed knowledge). From what I've understood, paired data relates to gathering info at different points in time.
Aug 1, 2023 at 22:32 comment added Mari153 Assume your data is paired. If so, you could calculate the normalised mutual Information between the two scales. Or, if preferred, the mutual information can be transformed into a correlation. See answer to stats.stackexchange.com/questions/502630/…
Aug 1, 2023 at 13:15 history edited utobi CC BY-SA 4.0
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Aug 1, 2023 at 13:14 answer added utobi timeline score: 2
Aug 1, 2023 at 12:26 comment added YasG yes, i have asked individuals to rate their agreement to 2 statements, both having a 5-point likert scale. i expect those who rate 4/5 on one scale to rate the same on the other scale.
Aug 1, 2023 at 12:22 comment added utobi You have a pool of individuals and you have asked them (at least) two research questions with answers on a 5-point Likert scale each. You are interested in how similar the answers to two questions are similar. Is my interpretation that correct? If not please correct me.
Aug 1, 2023 at 12:18 comment added YasG i haven't touched upon correlation in my dissertation so i'm not keen on it, but i've read that it may be relevant to answer my research question. my hypothesis is that individuals who choose "agree" or "strongly agree" on one Likert will choose the same on the other scale. i'm quite confused to be honest.
Aug 1, 2023 at 12:12 history edited YasG CC BY-SA 4.0
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S Aug 1, 2023 at 11:47 review First questions
Aug 1, 2023 at 11:54
S Aug 1, 2023 at 11:47 history asked YasG CC BY-SA 4.0