{"title":"研究统计分析博士研究计划的方法","authors":"A. Furaev, S. Zubarev","doi":"10.12737/1998-1740-2023-11-3-22-25","DOIUrl":null,"url":null,"abstract":"The article describes the content of the discipline \"Methods of statistical analysis\", developed for the preparation of postgraduate students of the Moscow State Academy of Physi-cal Culture in the scientific specialty 5.8.7. \"Methodology and technology of vocational educa-tion\". The relevance substantiated and the tasks of the discipline defined. Methods of statistical analysis that are effective for the specified specialty are given, and features of statistical pro-cessing of data from pedagogical research are noted. The specifics of the issues under consider-ation and the volume of the studied material are reflected in the main learning outcomes (to know, to be able, to master), which graduate students must demonstrate during certification in the discipline.","PeriodicalId":338903,"journal":{"name":"Standards and Monitoring in Education","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Methodology for Studying the PHD Study Program in Statistical Analysis\",\"authors\":\"A. Furaev, S. Zubarev\",\"doi\":\"10.12737/1998-1740-2023-11-3-22-25\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article describes the content of the discipline \\\"Methods of statistical analysis\\\", developed for the preparation of postgraduate students of the Moscow State Academy of Physi-cal Culture in the scientific specialty 5.8.7. \\\"Methodology and technology of vocational educa-tion\\\". The relevance substantiated and the tasks of the discipline defined. Methods of statistical analysis that are effective for the specified specialty are given, and features of statistical pro-cessing of data from pedagogical research are noted. The specifics of the issues under consider-ation and the volume of the studied material are reflected in the main learning outcomes (to know, to be able, to master), which graduate students must demonstrate during certification in the discipline.\",\"PeriodicalId\":338903,\"journal\":{\"name\":\"Standards and Monitoring in Education\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Standards and Monitoring in Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12737/1998-1740-2023-11-3-22-25\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Standards and Monitoring in Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12737/1998-1740-2023-11-3-22-25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Methodology for Studying the PHD Study Program in Statistical Analysis
The article describes the content of the discipline "Methods of statistical analysis", developed for the preparation of postgraduate students of the Moscow State Academy of Physi-cal Culture in the scientific specialty 5.8.7. "Methodology and technology of vocational educa-tion". The relevance substantiated and the tasks of the discipline defined. Methods of statistical analysis that are effective for the specified specialty are given, and features of statistical pro-cessing of data from pedagogical research are noted. The specifics of the issues under consider-ation and the volume of the studied material are reflected in the main learning outcomes (to know, to be able, to master), which graduate students must demonstrate during certification in the discipline.