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Let your data speak : quantitative and qualitative methods

Résumé

Professeur en sciences de gestion, l'auteur présente les méthodes quantitatives et qualitatives utilisées en sciences sociales pour produire des connaissances. L'accent est mis sur les technologies de l'Internet et de l'intelligence artificielle. ©Electre 2022


  • Éditeur(s)
  • Date
    • DL 2022
  • Notes
    • En anglais
  • Langues
    • Anglais
  • Description matérielle
    • 1 vol. (270 p.) : ill., fig., tabl., couv. ill. en coul. ; 22 cm
  • Collections
  • Autre(s) édition(s)
  • Sujet(s)
  • ISBN
    • 978-2-37687-574-1
  • Indice
  • Quatrième de couverture
    • Let Your Data Speak

      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.


  • Tables des matières
      • Let Your Data Speak

      • Quantitative and Qualitative Methods

      • Jean Moscarola

      • Pr Paul Beaulieu,

      • Pr Michel Kalika,

      • Pr émérite Alain-Charles Martinet,

      • Introduction. Find Out ! 9
      • Part I. Knowledge Production in the Social Sciences
      • Chapter 1.
      • The Frame of Reference for Scientific Work 19
      • 1. Karl Popper and critical rationalism20
      • 2. Conceptualizing : Concepts and theories (World 3)24
      • 3. Observing and measuring : The field (World 1)26
      • 4. Linking theory and fieldwork (World 2)30
      • Chapter 2.
      • The Conceptual Framework : Choosing or Building a Theory 35
      • 1. Defining concepts35
      • 2. Conceiving of relations38
      • 3. Formulating theories44
      • 4. Grand theories and reference models47
      • 5. What is a good theory ?52
      • Chapter 3.
      • Protocols for Gathering Information and Editing Data 57
      • 1. Field, information and populations57
      • 2. Sources59
      • 3. Data collection and editing protocols62
      • 4. Examples78
      • Summary of Part I85
      • Part II. Measuring and Analyzing : Quantitative Methods
      • Chapter 4.
      • Data 91
      • 1. Data tables91
      • 2. Variables91
      • 3. Observations95
      • 4. From data to knowledge97
      • Chapter 5.
      • Describing and Interpreting 103
      • 1. Univariate analyses103
      • 2. Bivariate analyses110
      • 3. Multivariate analyses116
      • Chapter 6.
      • Explaining and Modeling 129
      • 1. Statistical estimation and sample survey theory129
      • 2. Confidence intervals132
      • 3. Statistical tests135
      • 4. Multivariate modeling144
      • 5. The uses of statistics and models150
      • Summary of Part II153
      • Part III. Observing and Interpreting : Qualitative Methods
      • Chapter 7.
      • The Challenges of Qualitative Data Analysis 159
      • 1. Corpora160
      • 2. The language system162
      • 3. Sensemaking169
      • Chapter 8.
      • The Classic Qualitative Approaches 173
      • 1. The tradition of the humanities173
      • 2. Pure qualitative research175
      • 3. Content analysis182
      • Chapter 9.
      • Textual, Lexical and Semantic Data Analysis 197
      • 1. History of methods and key steps197
      • 2. From corpora to textual data206
      • 3. Methods and their contributions208
      • 4. Textual data analysis and qualitative research213
      • Summary of Part III223
      • Part IV. Communicating227
      • Conclusion. Choose ! 233
      • Appendix. What Sphinx Software Can Do for a DBA Researcher 237
      • Abstract237
      • 1. Introduction237
      • 2. The software resources offered by Sphinx238
      • 3. Research situations246
      • 4. Communication, sharing249
      • 5. How to make the best use of Sphinx249
      • 6. Supplementary material : Glossaries251
      • References 257

  • Origine de la notice:
    • Abes ;
    • Electre
  • Disponible - 652.3 MOS

    Niveau 3 - Gestion