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What scale uses responses strongly agree agree neutral strongly disagree disagree?
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∙ 14y ago
The Likert Scale
Wiki User
∙ 14y ago
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Which graph is best used to display data from a Leichardt scale?
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.
Would you quickly change your job if you found a better paying one Strongly Disagree Disagree Neither Agree Strongly Agree?
Strongly Agree
Is fair to evaluate employees based on the results they achieve strongly agree agree neither strongly disagree or disagree?
strongly agree
What is the ordinal scale in statistics?
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}.
How does an ordinal categorical variable works.?
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}.
At wwwwarriorcatscom what is the answers to get thunder clan as your clan?
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
Which graph is best used to display data from a Leichardt scale?
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.
Would you quickly change your job if you found a better paying one Strongly Disagree Disagree Neither Agree Strongly Agree?
Strongly Agree
Is fair to evaluate employees based on the results they achieve strongly agree agree neither strongly disagree or disagree?
strongly agree
when do you choose agree highly agree disagree highly disagree and neutral?
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.
How do you make numerical data?
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
How do you pass winndixie assessment test?
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
What is the ordinal scale in statistics?
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}.
How does an ordinal categorical variable works.?
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}.
To what extent do you agree with this statement?
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.
Examples of ordinal scale?
Likert scale (agree strongly, agree, neutral, disagree, disagree strongly), academic grade levels (A, B, C, D, F), rankings (1st place, 2nd place, 3rd place).
How do I make a likert scale questionnaire?
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.
