Sample size in quantitative instrument-based studies published in Scopus up to 2022: An artificial intelligence aided systematic review
Despite their popularity, quantitative instruments like Likert scales struggle with a practical issue for research projects - how many participants have to fill out the instrument? This study started with the data for 31,271 articles downloaded from Scopus and, after exclusions, reviewed the sample...
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| Formato: | Otro |
| Lenguaje: | inglés |
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2023
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| _version_ | 1881508966120292352 |
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| author | White, Michaël |
| author_browse | White, Michaël |
| author_facet | White, Michaël |
| author_sort | White, Michaël |
| collection | Producción científica |
| description | Despite their popularity, quantitative instruments like Likert scales struggle with a practical issue for research projects - how many participants have to fill out the instrument? This study started with the data for 31,271 articles downloaded from Scopus and, after exclusions, reviewed the sample size used in 21,506 studies. Scimago highest quartile data was brought in for 1999-2021 and linked to the exported articles. Anthropic's Claude and Claude-Instant AI tools were used to analyze the journal article abstracts and extract the sample size information. Frequency distribution of sample size used are presented. Descriptive statistics such as maximum, average and trimmed averaged sample size values are presented by quartile of the journal where the article was published, range of years when the article was published, 3 common analyses which tend to increase sample size, and two population groups which have been shown to impact sample size. The study concludes with ranges for commonly used sample sizes based on a number of criteria. This is one of the first studies to use AI tools to assist in the analysis for a systematic review study. |
| format | Other |
| id | oai:cris.upeu.edu.pe:20.500.15037/1738 |
| institution | UPeU |
| language | English |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
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| spelling | oai:cris.upeu.edu.pe:20.500.15037/17382026-10-30T16:16:38ZSample size in quantitative instrument-based studies published in Scopus up to 2022: An artificial intelligence aided systematic reviewWhite, MichaëlSample size determinationSample (material)QuartileScopusStatisticsDescriptive statisticsPsychologyPopularityPopulationMathematicsMEDLINEDemographySocial psychologySociologyPhysicsPolitical scienceConfidence intervalThermodynamicsLawArtificial IntelligenceHumansBibliometricsSample SizeSocial Sciences Decision Sciences Statistics, Probability and Uncertainty Meta-analysis and systematic reviewsHealth Sciences Medicine Health Informatics Artificial Intelligence in Healthcare and EducationSocial Sciences Decision Sciences Management Science and Operations Research Impact of AI and Big Data on Business and SocietyDespite their popularity, quantitative instruments like Likert scales struggle with a practical issue for research projects - how many participants have to fill out the instrument? This study started with the data for 31,271 articles downloaded from Scopus and, after exclusions, reviewed the sample size used in 21,506 studies. Scimago highest quartile data was brought in for 1999-2021 and linked to the exported articles. Anthropic's Claude and Claude-Instant AI tools were used to analyze the journal article abstracts and extract the sample size information. Frequency distribution of sample size used are presented. Descriptive statistics such as maximum, average and trimmed averaged sample size values are presented by quartile of the journal where the article was published, range of years when the article was published, 3 common analyses which tend to increase sample size, and two population groups which have been shown to impact sample size. The study concludes with ranges for commonly used sample sizes based on a number of criteria. This is one of the first studies to use AI tools to assist in the analysis for a systematic review study.Otherhttps://pubmed.ncbi.nlm.nih.gov/38029697https://doi.org/10.1016/j.actpsy.2023.10409510.1016/j.actpsy.2023.104095https://hdl.handle.net/20.500.15037/1738W4389101004enActa Psychologica0001-69181873-62972023-11-012026-06-13T14:20:12Z2026-06-13T14:20:12Z |
| spellingShingle | Sample size determination Sample (material) Quartile Scopus Statistics Descriptive statistics Psychology Popularity Population Mathematics MEDLINE Demography Social psychology Sociology Physics Political science Confidence interval Thermodynamics Law Artificial Intelligence Humans Bibliometrics Sample Size Social Sciences Decision Sciences Statistics, Probability and Uncertainty Meta-analysis and systematic reviews Health Sciences Medicine Health Informatics Artificial Intelligence in Healthcare and Education Social Sciences Decision Sciences Management Science and Operations Research Impact of AI and Big Data on Business and Society White, Michaël Sample size in quantitative instrument-based studies published in Scopus up to 2022: An artificial intelligence aided systematic review |
| title | Sample size in quantitative instrument-based studies published in Scopus up to 2022: An artificial intelligence aided systematic review |
| title_full | Sample size in quantitative instrument-based studies published in Scopus up to 2022: An artificial intelligence aided systematic review |
| title_fullStr | Sample size in quantitative instrument-based studies published in Scopus up to 2022: An artificial intelligence aided systematic review |
| title_full_unstemmed | Sample size in quantitative instrument-based studies published in Scopus up to 2022: An artificial intelligence aided systematic review |
| title_short | Sample size in quantitative instrument-based studies published in Scopus up to 2022: An artificial intelligence aided systematic review |
| title_sort | sample size in quantitative instrument based studies published in scopus up to 2022 an artificial intelligence aided systematic review |
| topic | Sample size determination Sample (material) Quartile Scopus Statistics Descriptive statistics Psychology Popularity Population Mathematics MEDLINE Demography Social psychology Sociology Physics Political science Confidence interval Thermodynamics Law Artificial Intelligence Humans Bibliometrics Sample Size Social Sciences Decision Sciences Statistics, Probability and Uncertainty Meta-analysis and systematic reviews Health Sciences Medicine Health Informatics Artificial Intelligence in Healthcare and Education Social Sciences Decision Sciences Management Science and Operations Research Impact of AI and Big Data on Business and Society |
| topic_facet | Sample size determination Sample (material) Quartile Scopus Statistics Descriptive statistics Psychology Popularity Population Mathematics MEDLINE Demography Social psychology Sociology Physics Political science Confidence interval Thermodynamics Law Artificial Intelligence Humans Bibliometrics Sample Size Social Sciences Decision Sciences Statistics, Probability and Uncertainty Meta-analysis and systematic reviews Health Sciences Medicine Health Informatics Artificial Intelligence in Healthcare and Education Social Sciences Decision Sciences Management Science and Operations Research Impact of AI and Big Data on Business and Society |
| url | https://pubmed.ncbi.nlm.nih.gov/38029697 https://doi.org/10.1016/j.actpsy.2023.104095 https://hdl.handle.net/20.500.15037/1738 |
| work_keys_str_mv | AT whitemichael samplesizeinquantitativeinstrumentbasedstudiespublishedinscopusupto2022anartificialintelligenceaidedsystematicreview |