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.
Strongly Agree
strongly agree
An ordinal scale is a method of categorising observation according to a scheme in which there is a sense of ordering between categories but the difference between categories is variable and unspecified. For example, the scale {strongly disagree, disagree, neither disagree nor agree, agree, strongly disagree}.
An ordinal categorical variable is often used in questions for which the responses can be put into some kind of natural order but where the difference between categories is not the same. One example may be where the respondent is asked to class statements as "disagree strongly", "disagree", "neither disagree nor agree", "agree", and "agree strongly". There is a natural progression in the response but the difference between "disagree strongly" and "neither ... " [2 steps] may not be the same as that between "disagree" and "agree" [also 2 steps].The results of any analyses which attaches numerical value to the answers for processing is sensitive to the coding system used. The results with the answers coded as {1, 2, 3, 4, 5} will be quite different to those coded {1, 4, 10, 20, 25}.
following rules: strongly agree decorating your room: strongly disagree fast runner: neutral (wind clan are fast) defending class mate: agree keeping to your self: disagree trying again: strongly agree swimming in summer: strongly disagree staying up at night: neutral you snooze you lose: neutral sneaking up on friends: strongly agree (thunder can are good stalkers) board games and cross words: disagree in the air: strongly agree (thunder can like the air) first on roller coaster: strongly agree (they are brave) owning a boat: strongly disagree (river clan) color black: strongly agree (attracts the sun they like the sun) loyalty: strongly agree
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.
Strongly Agree
strongly agree
There are many times where you may highly agree or disagree on a subject. If you are talking with someone about a topic, you may choose to stay neutral, or agree or disagree with what is being said.
You can code the data. For example, male = 1, female = 2. Or Strongly Agree = 5 Agree = 4 Neither agree nor disagree = 3 Disagree = 2 Strongly Disagree = 1
mainly choose the best answer to ur knowledge an when u get to the agree/disagree questions mainly pick strongly agree/strongly disagree and if ur not sure pick the choice neither disagree/agree
An ordinal scale is a method of categorising observation according to a scheme in which there is a sense of ordering between categories but the difference between categories is variable and unspecified. For example, the scale {strongly disagree, disagree, neither disagree nor agree, agree, strongly disagree}.
When you are asked to what degree do you agree with a statement in a job interview, the interviewer is trying to gauge your beliefs and thought process. You could answer that you agree strongly, agree slightly, disagree somewhat, or disagree strongly.
An ordinal categorical variable is often used in questions for which the responses can be put into some kind of natural order but where the difference between categories is not the same. One example may be where the respondent is asked to class statements as "disagree strongly", "disagree", "neither disagree nor agree", "agree", and "agree strongly". There is a natural progression in the response but the difference between "disagree strongly" and "neither ... " [2 steps] may not be the same as that between "disagree" and "agree" [also 2 steps].The results of any analyses which attaches numerical value to the answers for processing is sensitive to the coding system used. The results with the answers coded as {1, 2, 3, 4, 5} will be quite different to those coded {1, 4, 10, 20, 25}.
Likert scale (agree strongly, agree, neutral, disagree, disagree strongly), academic grade levels (A, B, C, D, F), rankings (1st place, 2nd place, 3rd place).
To create a Likert scale questionnaire, first define the statements or questions to be rated. Then, choose a scale, such as a 5-point scale ranging from "Strongly Disagree" to "Strongly Agree." Next, present the statements along with the scale and ask respondents to select the option that best represents their opinion. Finally, analyze the responses by calculating averages or percentages for each statement.