{"corpus_id":182342186,"paper_sha":"995f47336628a018c0c9dccdd0c51b7869590150","doi":"10.33050/atm.v3i1.826","arxiv_id":null,"pmid":null,"pmcid":null,"mag_id":2945876341,"dblp_id":null,"acl_id":null,"title":"Management Multivariate Analysis Methods for Variables Measurement in Scientific Papers","year":2019,"publication_date":"2019-01-03","venue":"Aptisi Transactions on Management (ATM)","journal":{"name":"Aptisi Transactions on Management (ATM)","pages":null,"volume":null},"journal_issn":null,"journal_title":null,"publication_types":[],"pubmed_pub_types":null,"s2_fields_of_study":["Mathematics","Computer Science"],"reference_count":29,"citation_count":8,"influential_citation_count":1,"is_open_access":false,"arxiv_categories":null,"arxiv_license":null,"arxiv_journal_ref":null,"mesh_headings":null,"chemicals":null,"comments_corrections":null,"source_flags":1,"s2_open_access_pdf_url":null,"s2_open_access_landing_url":null,"s2_open_access_license":null,"s2_open_access_status":null,"pmc_open_access_pdf_url":null,"pmc_open_access_landing_url":null,"pmc_open_access_license":null,"pmc_open_access_status":null,"unpaywall_open_access_pdf_url":null,"unpaywall_open_access_landing_url":null,"unpaywall_open_access_license":null,"unpaywall_open_access_status":null,"abstract":"The management of writing a scientific papers we already know has important chapters in the writing. And have a way of choosing in a variety of methods. There are problems in this study, namely the absence of the use of research methods in scientific-rich management. Then one of them is needed by multivariate data analysis management to become one of the methods in writing scientific papers. Multivariate data is data collected from two or more observations by measuring these observations with several characteristics. There are 2 (two) methods in multivariate data, namely dependency and interdependence methods. Dependency analysis functions to explain or predict dependent variables by using two or more independent variables. Focused on the dependency method there are 9 (nine) classifications. It is expected that the multivariate data analysis management can help writers to use scientific research methods well and be able to analyze the influence of several variables on other variables at the same time","claims":[{"public_id":"cl_630d85cf59cff3669739a35496f5060d","status":"active","text":"Dependency analysis explains or predicts dependent variables using two or more independent variables.","confidence":0.97,"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/claims/cl_630d85cf59cff3669739a35496f5060d"},{"public_id":"cl_7958e967220a741a7a487639b41fd0f8","status":"active","text":"Multivariate data analysis includes two methods: dependency methods and interdependence methods.","confidence":0.95,"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/claims/cl_7958e967220a741a7a487639b41fd0f8"},{"public_id":"cl_2bd1eb5ab2edf179fd412c4d01512f32","status":"active","text":"Multivariate data analysis management is needed as a method for writing scientific papers.","confidence":0.77,"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/claims/cl_2bd1eb5ab2edf179fd412c4d01512f32"},{"public_id":"cl_f1e411308b0d561d3af425ed8488e4cd","status":"active","text":"Multivariate data are observations measured on two or more variables or characteristics.","confidence":0.93,"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/claims/cl_f1e411308b0d561d3af425ed8488e4cd"},{"public_id":"cl_43a9493e7ec284b1a63ff296c47b79f0","status":"active","text":"The dependency method is divided into nine classifications.","confidence":0.9,"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/claims/cl_43a9493e7ec284b1a63ff296c47b79f0"}],"concepts":[{"public_id":"co_0bcde232076ff305538bd95964754212","status":"active","name":"multivariate data analysis","description":"An analytical approach for examining data with multiple variables at the same time.","types":["method"],"aliases":[],"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_0bcde232076ff305538bd95964754212"},{"public_id":"co_1973f7576f1990eadfe440370b0c27e6","status":"active","name":"dependency methods","description":"Multivariate methods used to explain or predict dependent variables from independent variables.","types":["method"],"aliases":["dependency analysis"],"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_1973f7576f1990eadfe440370b0c27e6"},{"public_id":"co_19fbb8cb2d33d967e267f7cc296fef2c","status":"active","name":"dependency method","description":"A multivariate analysis category that focuses on modeling dependence between variables.","types":["method category"],"aliases":["dependency methods"],"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_19fbb8cb2d33d967e267f7cc296fef2c"},{"public_id":"co_21cc8b45724a0ecf0a1cd070f3b728f0","status":"active","name":"multivariate data","description":"Data collected from two or more observations measured with several characteristics.","types":["data"],"aliases":[],"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_21cc8b45724a0ecf0a1cd070f3b728f0"},{"public_id":"co_277ed211d636232b004dacbc083d27ce","status":"active","name":"characteristics","description":"Variables or features used to measure the observations in multivariate data.","types":["measure"],"aliases":["variables"],"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_277ed211d636232b004dacbc083d27ce"},{"public_id":"co_3adae8fd6e5c08d6ab9028ff3d4816ea","status":"active","name":"classifications","description":"The subcategories used to divide the dependency method.","types":["taxonomy"],"aliases":[],"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_3adae8fd6e5c08d6ab9028ff3d4816ea"},{"public_id":"co_517f64a0ec62b043feb25deecf1edeff","status":"active","name":"dependent variables","description":"Outcome variables that are explained or predicted in dependency analysis.","types":["variable"],"aliases":["outcome variables"],"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_517f64a0ec62b043feb25deecf1edeff"},{"public_id":"co_78221c438d6ef720b7c38b6debd8417c","status":"active","name":"independent variables","description":"Predictor variables used to explain or predict dependent variables.","types":["variable"],"aliases":["predictor variables"],"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_78221c438d6ef720b7c38b6debd8417c"},{"public_id":"co_7a229c6eaf7b299127ac21a7679c9682","status":"active","name":"multivariate data analysis management","description":"The organized use of multivariate data analysis methods for managing variable measurement in scientific writing.","types":["method"],"aliases":["management multivariate analysis methods"],"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_7a229c6eaf7b299127ac21a7679c9682"},{"public_id":"co_89cc1128571d0a140726e54f41649188","status":"active","name":"dependency analysis","description":"Analysis that models how one or more independent variables relate to a dependent variable.","types":["analysis method"],"aliases":[],"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_89cc1128571d0a140726e54f41649188"},{"public_id":"co_bc65b5292d402090e516bab493873d36","status":"active","name":"interdependence methods","description":"Multivariate methods that examine relationships among variables without specifying dependent and independent roles.","types":["method"],"aliases":["interdependence analysis"],"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_bc65b5292d402090e516bab493873d36"},{"public_id":"co_d786521c94bf0ab61904266520d934a6","status":"active","name":"writing scientific papers","description":"The process of composing scholarly papers with appropriate research methods and analysis.","types":["activity"],"aliases":["scientific paper writing"],"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_d786521c94bf0ab61904266520d934a6"},{"public_id":"co_dc746342eb5e5dc21c6ce56987169ba3","status":"active","name":"observations","description":"Measured units or cases from which multivariate data are collected.","types":["data component"],"aliases":[],"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_dc746342eb5e5dc21c6ce56987169ba3"}],"external_ids":{"DOI":"10.33050/atm.v3i1.826","ArXiv":null,"PubMed":null,"PubMedCentral":null,"MAG":2945876341,"DBLP":null,"ACL":null},"open_access":{"is_open_access":false,"pdf_url":null,"landing_url":"https://sah.borca.ai/papers/182342186","source":null,"pdf_url_source":null,"license":null,"reason":"pdf_url_not_indexed"},"reference_availability":{"status":"available","references_indexed":true,"full_text_available":false,"full_text_source":null,"count_basis":"semantic_scholar_metadata","extraction_status":"not_applicable","reason":null},"source":{"provider":"episteme2","base_corpus":"semantic_scholar_dump","freshness_mode":"unknown","basis":["semantic_scholar_metadata","postgres_metadata"],"limits":["paper metadata is based on indexed upstream scholarly datasets","claims and concepts are available only for extracted papers","absence of claims or concepts means no extracted graph data is available in this response"],"status":"available","degraded":false,"degraded_reasons":[],"diagnostics":{"status":"available","degraded":false,"degraded_reasons":[],"metadata_status":"available","graph_status":"available","abstract_status":"available"},"source_flags":1},"paper_id":632182,"paper_uid":"d7560636-0449-45ee-961d-d2a633ea722e","canonical_identity":{"paper_id":632182,"paper_uid":"d7560636-0449-45ee-961d-d2a633ea722e","identity_status":"available","lookup_basis":"semantic_scholar_external_id","compatibility_path":"corpus_id"},"url":"https://sah.borca.ai/papers/182342186"}