33 Best Likert Scale Examples & Template

When you were given the task of making a survey, now there are many ways of measuring and also steps in carrying out the survey. The following will be reviewed in detail about the Likert scale. Look at the article below.

How to Measure Likert Scale For Your Survey

There are many types of scales that can be used to measure a required research data. These scales are like the Guttman, Likert, and Thurstone scales. The Likert scale itself is one type of measurement scale for quantitative data. This data is mostly found in questionnaires to conduct certain surveys. You need to understand the form of the Likert scale to be used. There are many types of scales that can be used to measure a required research data.

Definition Likert scale

The Likert scale itself is one type of measurement scale for quantitative data. This data is mostly found in questionnaires to conduct certain surveys. You need to understand the form of the Likert scale to be used. This is so that you do not have difficulty when measuring research data using this scale. Likert scale or Likert Scale is a research scale used to measure attitudes and opinions. With this Likert scale, respondents are asked to complete a questionnaire which requires them to indicate their level of agreement with a series of questions.

Likert Scale Forms

Likert scale forms are quite diverse depending on the objectives the researcher wants to achieve. The first form is a scale regarding opinions which usually on a questionnaire paper consists of five choices, namely Very Happy (SS), Happy (S), Neutral (N), Displeased (TS), and Very Displeased (STS). Another form is in the form of an opinion regarding an agreement regarding a policy or a phenomenon that is happening.

The questions or statements used in this research are usually referred to as research variables and are specifically determined by the researcher. The name of this scale is taken from the name of its creator, RensisLikert, a social psychologist from the United States. The level of approval referred to in this Likert scale consists of 5 scale options which have a gradation from Strongly Agree to Strongly Disagree. The 5 options include:

  • Strongly Agree
  • Agree
  • Undecided
  • Disagree
  • strong Disagreeable

Apart from the Grading of Approval, it can also be used in several types of gradations regarding attitudes and opinions.

As :

  • Really Like
  • Like
  • Neutral
  • Dislikes
  • Very Dislike

In general, research instruments that use a Likert scale are made in the form of a questionnaire with multiple choice or checklists. Do you agree with company regulations that require all employees to remove Watches, rings and belts before entering the production area? To determine the number of responses under study, we can use several techniques for determining the number of samples, one of which is the sample determination technique using the Slovin formula.

Understanding Likert Scale

The Likert scale is one form of scale that is used to collect data in order to find out or measure data that is qualitative in nature. This data is obtained to determine a person’s opinion, perception, or attitude towards a phenomenon that occurs. The Likert scale is one form of scale that is used to collect data in order to find out or measure data that is qualitative in nature.

This data is obtained to determine a person’s opinion, perception, or attitude towards a phenomenon that occurs. The characteristic that is easily seen from the Likert scale is the 5 choices that will be answered by the respondent. Of the 5 gradations of the answer, then it will be processed in the form of a percentage as a determinant of the research results.

Likert Scale Example

Likert Scale Template

Analysis Steps and the Measurement

There are several main steps that must be taken in conducting research using a Likert scale. Here are the analysis steps along with examples that you can apply.  Collecting Data The first step is to collect data to be analyzed by providing a questionnaire that has been filled in with questions about a social condition or phenomenon. Make sure to use the right sample with the right number of respondents so that the results you get are more accurate.

Sample Question No Questions SS S R TS STS with Likert scale.

  • There are additional lessons that specifically provide knowledge about technology.
  • Add up all data From all the data that has been collected, you can classify them based on the type of answer you get. For example, the answer is very like, collected with respondents who also say they really like it. After all the data is collected, you can add up each answer. Example of Amount of Data For 100 students, the following data were found: Very Happy: 30 Happy: 30 Doubt: 5 Displeased: 20 Very Unhappy: 15
  • Weighting All data that have been added up cannot be processed immediately. You must give weight to each answer. For example, the points or weights in the answers from really like to really dislike are 5, 4, 3, 2, and 1.After the sum is multiplied by the weight, then all of them are added up. Very happy: 30 x 5 = 150 Happy: 30 x 4 = 120 Doubt: 5 x 3 = 15 Displeased: 20 x 2 = 60 Very Unhappy: 15 x 1 = 15 Total Score = 360 To find out the maximum score, the formula is the number of respondents x the highest score. Meanwhile, to find out the minimum score using the formula number of respondents x lowest score using Likert scale.

From this calculation, the assessment interval will be obtained. Maximum score = 100 x 5 = 500 Minimum score = 100 x 1 = 100 4. Calculate the Percentage The final step, to find theconclusions from the research results is to calculate the percentage. The formula for knowing the index as a percent is the total score divided by the maximum total score times 100. Percentage index = 360: 500 x 100 = 72% So that the conclusion of the study is that students are happy with technology lessons in school.

Before deciding to use a Likert scale in research, you must understand the method of calculation and the objective of the assessment obtained first. This is important to support more valid data before evaluating and making conclusions. In addition, the effectiveness of thisscale is also greatly influenced by the form of the questions you write on the questionnaire.