How do you reply to Do you agree?

How do you reply to Do you agree?

Hi, The proper manner to ask and answer using “agree” is: Do you agree with me? or Are you agree with me? Yes……Answers being:

1. Yes, I do!
2. Yes, I am!
3. Yes, I am! or simply:
4. Yes, I agree! or even:
5. Yes I do agree!

What are Agree Disagree questions called?

A Likert scale is a question which contains 5 or 7 response options. The choices range from Strongly Agree to Strongly Disagree so the survey maker can get a holistic view of people’s opinions and their level of agreement.

Why we should not use 5 point Likert scales?

A review of the literature indicates that expanding the number of choice-points beyond five or seven points does not systematically damage scale reliability, yet such an increase does increase scale sensitivity (Cummins & Gullone, 2000) . Scale items were averaged to create an overall value for each construct. …

How do you calculate a 5 point Likert scale?

To determine the minimum and the maximum length of the 5-point Likert type scale, the range is calculated by (5 − 1 = 4) then divided by five as it is the greatest value of the scale (4 ÷ 5 = 0.80).

Should we use a 5 or 7-point Likert scale what’s better and why?

7-point scales are slightly better The short answer is that 7-point scales are a little better than 5-points—but not by much. The psychometric literature suggests that having more scale points is better but there is a diminishing return after around 11 points (Nunnally 1978).

What is the main reason to use a Likert scale?

A Likert scale is an ordered scale from which respondents choose one option that best aligns with their view. It is often used to measure respondents’ attitudes by asking the extent to which they agree or disagree with a particular question or statement.

Why are Likert scales bad?

The problem with a Likert scale is that the scale [of very satisfied, quite satisfied, neutral, quite dissatisfied, very dissatisfied, for example] produces ordinal data. So it would seem that is wrong to calculate means from Likert scales.

What are the advantages and disadvantages of Likert scales?

However, the Likert Scale is uni-dimensional and only gives 5-7 options of choice, and the space between each choice cannot possibly be equidistant. Therefore, it fails to measure the true attitudes of respondents.

What are the disadvantages of scales?

Wastage of Fuel : Scale is a poor conductor of heat. This results in the reduced rate of heat transfer, and thus the evaporative capacity of the boiler will be reduced. Thus scale formation also decreases the efficiency of the boiler and causes a wastage of fuel.

What is the benefit of using 7 points Likert scale?

Seven-point Likert items have been shown to be more accurate, easier to use, and a better reflection of a respondent’s true evaluation. In light of all these advantages, even when compared to higher-order items, 7-point items appear to be the best solution for questionnaires such as those used in usability evaluations.

Is Likert scale qualitative or quantitative?

Rating scales do not produce qualitative data, irrespective of what the end-point labels may be. Data from Likert scales and continuous (e.g. 1-10) rating scales are quantitative. These scales assume equal intervals between points.

How do you Analyse a Likert scale questionnaire?

A Likert scale is composed of a series of four or more Likert-type items that represent similar questions combined into a single composite score/variable. Likert scale data can be analyzed as interval data, i.e. the mean is the best measure of central tendency. use means and standard deviations to describe the scale.

How do you score a Likert scale questionnaire?

The traditional way to report on a Likert scale is to sum the values of each selected option and create a score for each respondent. This score is then used to represent a specific trait — satisfied or dissatisfied, for example — particularly when used for sociological or psychological research.

How do you introduce a Likert scale?

It’s advisable to start from the extremes (“extremely,” “not at all”,) set the midpoint of your scale to represent moderation (“moderately,”) or neutrality (“neither agree nor disagree,”) and then use very clear terms–“very,” “slightly”–for the rest of the options.

What type of measurement is a Likert scale?

Likert Scale: A Likert scale is an ordinal scale with five response categories, which is used to order a list of attributes from the best to the least. This scale uses adverbs of degree like very strongly, highly, etc. to indicate the different levels.

What is Likert scale with example?

A Likert Scale is a type of rating scale used to measure attitudes or opinions. With this scale, respondents are asked to rate items on a level of agreement. For example: Strongly agree. Agree.

What are scale questions?

In rating scale questions (sometimes referred to as ordinal questions), the question displays a scale of answer options from any range (0 to 100, 1 to 10, etc.). The respondent selects the number that most accurately represents their response.

Can Chi Square be used for Likert scale?

A variety of options for analyzing Likert scale data exist including the chi square statistic. The chi square statistic compares survey respondents’ actual responses to questions with expected answers to assess the statistical significance of a given hypothesis. Combine the response categories in your Likert scale.

Can Anova be used for Likert scale?

ANOVA is a comparison of means but a Likert scale is ordinal data. With continuous data (like temperature), you could use ANOVA because the change in temperature from 10 to 11 is the same as 20 to 21. With ordinal data, you’ll have things like “1= strongly disagree” up to “5=strongly agree”.

What does chi square measure?

A chi-square (χ2) statistic is a measure of the difference between the observed and expected frequencies of the outcomes of a set of events or variables. χ2 depends on the size of the difference between actual and observed values, the degrees of freedom, and the samples size.

How do you do chi square?

Calculate the chi square statistic x2 by completing the following steps:

1. For each observed number in the table subtract the corresponding expected number (O — E).
2. Square the difference [ (O —E)2 ].
3. Divide the squares obtained for each cell in the table by the expected number for that cell [ (O – E)2 / E ].

What is p value in Chi Square?

The P-value is the probability of observing a sample statistic as extreme as the test statistic. Since the test statistic is a chi-square, use the Chi-Square Distribution Calculator to assess the probability associated with the test statistic.