| Titre : | Quantitative methods in the humanities : an introduction | | Type de document : | texte imprimé | | Auteurs : | Claire Lemercier, Auteur ; Claire Zalc, Auteur ; Arthur Goldhammer, Traducteur | | Editeur : | Charlottesville : University of Virginia Press | | Année de publication : | 2019 | | Importance : | 1 vol. (177 p.) | | Présentation : | ill. | | Format : | 22 cm | | ISBN/ISSN/EAN : | 978-0-8139-4268-1 | | Langues : | Anglais (eng) | | Langues originales : | Français (fre) | | Catégories : | RAMEAU
Enseignement supérieur -- Recherche ; Sciences sociales -- Méthodologie ; Données massives
| | Résumé : | This timely and lucid guide is intended for students and scholars working on all historical periods and topics in the humanities and social sciences-especially for those who do not think of themselves as experts in quantification, "big data," or "digital humanities."Drawing on examples from works in social, political, economic, and cultural history, the authors guide readers through a wide range of methods, from cross-tabulations and statistical tests to factor analysis and visualization. The book offers both beginners and seasoned practitioners detailed advice and practical tips on how to build a dataset from historical sources and how to categorize it according to research questions.
| | Type de document : | Livre | | Permalien de la notice : | https://infodoc.agroparistech.fr/index.php?lvl=notice_display&id=197539 |
Quantitative methods in the humanities : an introduction [texte imprimé] / Claire Lemercier, Auteur ; Claire Zalc, Auteur ; Arthur Goldhammer, Traducteur . - Charlottesville : University of Virginia Press, 2019 . - 1 vol. (177 p.) : ill. ; 22 cm. ISBN : 978-0-8139-4268-1 Langues : Anglais ( eng) Langues originales : Français ( fre) | Catégories : | RAMEAU
Enseignement supérieur -- Recherche ; Sciences sociales -- Méthodologie ; Données massives
| | Résumé : | This timely and lucid guide is intended for students and scholars working on all historical periods and topics in the humanities and social sciences-especially for those who do not think of themselves as experts in quantification, "big data," or "digital humanities."Drawing on examples from works in social, political, economic, and cultural history, the authors guide readers through a wide range of methods, from cross-tabulations and statistical tests to factor analysis and visualization. The book offers both beginners and seasoned practitioners detailed advice and practical tips on how to build a dataset from historical sources and how to categorize it according to research questions.
| | Type de document : | Livre | | Permalien de la notice : | https://infodoc.agroparistech.fr/index.php?lvl=notice_display&id=197539 |
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