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Use and Misuse of the Likert Item Responses and Other Ordinal Measures

Likert, Likert-type, and ordinal-scale responses are very popular psychometric item scoring schemes for attempting to quantify people’s opinions, interests, or perceived efficacy of an intervention and are used extensively in Physical Education and Exercise Science research. However, these numbered...

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Detalles Bibliográficos
Autores principales: BISHOP, PHILLIP A., HERRON, ROBERT L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Berkeley Electronic Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4833473/
https://www.ncbi.nlm.nih.gov/pubmed/27182418
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author BISHOP, PHILLIP A.
HERRON, ROBERT L.
author_facet BISHOP, PHILLIP A.
HERRON, ROBERT L.
author_sort BISHOP, PHILLIP A.
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description Likert, Likert-type, and ordinal-scale responses are very popular psychometric item scoring schemes for attempting to quantify people’s opinions, interests, or perceived efficacy of an intervention and are used extensively in Physical Education and Exercise Science research. However, these numbered measures are generally considered ordinal and violate some statistical assumptions needed to evaluate them as normally distributed, parametric data. This is an issue because parametric statistics are generally perceived as being more statistically powerful than non-parametric statistics. To avoid possible misinterpretation, care must be taken in analyzing these types of data. The use of visual analog scales may be equally efficacious and provide somewhat better data for analysis with parametric statistics.
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spelling pubmed-48334732016-05-12 Use and Misuse of the Likert Item Responses and Other Ordinal Measures BISHOP, PHILLIP A. HERRON, ROBERT L. Int J Exerc Sci Technical Note Likert, Likert-type, and ordinal-scale responses are very popular psychometric item scoring schemes for attempting to quantify people’s opinions, interests, or perceived efficacy of an intervention and are used extensively in Physical Education and Exercise Science research. However, these numbered measures are generally considered ordinal and violate some statistical assumptions needed to evaluate them as normally distributed, parametric data. This is an issue because parametric statistics are generally perceived as being more statistically powerful than non-parametric statistics. To avoid possible misinterpretation, care must be taken in analyzing these types of data. The use of visual analog scales may be equally efficacious and provide somewhat better data for analysis with parametric statistics. Berkeley Electronic Press 2015-07-01 /pmc/articles/PMC4833473/ /pubmed/27182418 Text en
spellingShingle Technical Note
BISHOP, PHILLIP A.
HERRON, ROBERT L.
Use and Misuse of the Likert Item Responses and Other Ordinal Measures
title Use and Misuse of the Likert Item Responses and Other Ordinal Measures
title_full Use and Misuse of the Likert Item Responses and Other Ordinal Measures
title_fullStr Use and Misuse of the Likert Item Responses and Other Ordinal Measures
title_full_unstemmed Use and Misuse of the Likert Item Responses and Other Ordinal Measures
title_short Use and Misuse of the Likert Item Responses and Other Ordinal Measures
title_sort use and misuse of the likert item responses and other ordinal measures
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4833473/
https://www.ncbi.nlm.nih.gov/pubmed/27182418
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