Data collection instrument
LIKERT SCALE
By: Ericka Caballero Id: 4-723-359 Maks Sanjur ID: 12-715-2420
Index
1. Definition
2. Importance
3. Characteristics
4. Advantages
5. Disadvantages
6. Conclusion
7. References
What is the Likert scale?
The Likert Scale is an ordinal psychometric measurement of attitudes, beliefs and opinions. In each question, a statement is presented in which a respondent must indicate a degree of agreement or disagreement in a multiple choice type format.
IMPORTANCE
The importance of using a Likert scale is that it provides more granular information on people's attitudes towards a subject than a simple yes/no question type.
CHARACTERISTICS
- It is a psychometric scale commonly involved in research that employs questionnaires.
It is the most widely used approach to scaling responses in survey research. - Likert scales are a non-comparative scaling technique and are one-dimensional in nature.
- When responding to a Likert questionnaire item respondents specify their level of agreement or disagreement on a symmetric agree-disagree scale for a series of statements. - Thus, the range captures the intensity of their feelings for a given item, while the results of analysis of multiple items reveals a pattern that has scaled properties of the kind Likert identities.
Difference
Likert Likert item scale
Likert item
1. Strongly disagree2. Disagree 3. Neither agree nor disagree 4. Agree 5. Strongly agree
Likert item example
DISADVANTAGES
ADVANTAGES
vs
Conclusion
Likert scales are a highly effective way of collecting qualitative data. They help you gain a deeper understanding of customers’ opinions and needs.
References
AR Baggaley, AL Hull - Evaluation & the health professions, 1983 - journals.sagepub.com
J Ogden, J Lo - Journal of health psychology, 2012 - journals.sagepub.com
SJ Heine, DR Lehman, K Peng… - Journal of personality …, 2002 - psycnet.apa.org
https://www.google.com/search?q=likert+scales+conclusions&source=lmns&bih=730&biw=1498&hl=es-419&sa=X&ved=2ahUKEwi08sqIpYb6AhXEi-AKHavJDkQQ_AUoAHoECAEQAA
¡Thank You!
Likert Scale Presentation
Ericka Caballero
Created on September 8, 2022
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Transcript
Data collection instrument
LIKERT SCALE
By: Ericka Caballero Id: 4-723-359 Maks Sanjur ID: 12-715-2420
Index
1. Definition
2. Importance
3. Characteristics
4. Advantages
5. Disadvantages
6. Conclusion
7. References
What is the Likert scale?
The Likert Scale is an ordinal psychometric measurement of attitudes, beliefs and opinions. In each question, a statement is presented in which a respondent must indicate a degree of agreement or disagreement in a multiple choice type format.
IMPORTANCE
The importance of using a Likert scale is that it provides more granular information on people's attitudes towards a subject than a simple yes/no question type.
CHARACTERISTICS
- It is a psychometric scale commonly involved in research that employs questionnaires. It is the most widely used approach to scaling responses in survey research. - Likert scales are a non-comparative scaling technique and are one-dimensional in nature.
- When responding to a Likert questionnaire item respondents specify their level of agreement or disagreement on a symmetric agree-disagree scale for a series of statements. - Thus, the range captures the intensity of their feelings for a given item, while the results of analysis of multiple items reveals a pattern that has scaled properties of the kind Likert identities.
Difference
Likert Likert item scale
Likert item
1. Strongly disagree2. Disagree 3. Neither agree nor disagree 4. Agree 5. Strongly agree
Likert item example
DISADVANTAGES
ADVANTAGES
vs
Conclusion
Likert scales are a highly effective way of collecting qualitative data. They help you gain a deeper understanding of customers’ opinions and needs.
References
AR Baggaley, AL Hull - Evaluation & the health professions, 1983 - journals.sagepub.com
J Ogden, J Lo - Journal of health psychology, 2012 - journals.sagepub.com
SJ Heine, DR Lehman, K Peng… - Journal of personality …, 2002 - psycnet.apa.org
https://www.google.com/search?q=likert+scales+conclusions&source=lmns&bih=730&biw=1498&hl=es-419&sa=X&ved=2ahUKEwi08sqIpYb6AhXEi-AKHavJDkQQ_AUoAHoECAEQAA
¡Thank You!