Nantilus
Let Your Data Speak : Quantitative and Qualitative Methods
Data include texts, articles, books or documents, numbers in economics or statistics, conversations, interviews, questionnaires, images, and anything we see or observe. We apply our culture and knowledge to approach them so we can understand the world or take action. This book presents the quantitat...
| Auteur principal : | |
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| Format : | Livre |
| Langue : | français |
| Titre complet : | Let Your Data Speak : Quantitative and Qualitative Methods / Jean Moscarola |
| Publié : |
Caen :
EMS Editions
, 2022 Paris : Cairn |
| Collection : | Business Science Institute |
| Titre de l'ensemble : | Business Science Institute |
| Accès en ligne : |
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| Documents associés : | Autre format:
Let your data speak |
| Résumé : | Data include texts, articles, books or documents, numbers in economics or statistics, conversations, interviews, questionnaires, images, and anything we see or observe. We apply our culture and knowledge to approach them so we can understand the world or take action. This book presents the quantitative and qualitative methods used in the social sciences to produce knowledge by combining theoretical conceptualization with empirical observations in other words, making data speak in the spirit of the scientific method! On the basis of numerous examples, it highlights the complementary nature of these methods and gives readers the understanding they need to identify the most appropriate methodology for the particular research question and field. There is an emphasis on online technologies and artificial intelligence, which provide an opportunity to combine quantitative and qualitative approaches and stimulate the development of traditional approaches. This book is intended both for students who are just discovering these methods and want to learn how to implement them and for experienced researchers and research directors. They will find a wealth of material that will help them polish their research practices and enhance their skillsets |
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| ISBN : | 978-2-37687-574-1 |