I mixed methods e la valutazione: un’analisi tramite Structural Topic Model

Titolo Rivista RIV Rassegna Italiana di Valutazione
Autori/Curatori Noemi Novello
Anno di pubblicazione 2021 Fascicolo 2020/76
Lingua Italiano Numero pagine 16 P. 107-122 Dimensione file 416 KB
DOI 10.3280/RIV2020-076007
Il DOI è il codice a barre della proprietà intellettuale: per saperne di più clicca qui

Qui sotto puoi vedere in anteprima la prima pagina di questo articolo.

Se questo articolo ti interessa, lo puoi acquistare (e scaricare in formato pdf) seguendo le facili indicazioni per acquistare il download credit. Acquista Download Credits per scaricare questo Articolo in formato PDF

Anteprima articolo

FrancoAngeli è membro della Publishers International Linking Association, Inc (PILA)associazione indipendente e non profit per facilitare (attraverso i servizi tecnologici implementati da CrossRef.org) l’accesso degli studiosi ai contenuti digitali nelle pubblicazioni professionali e scientifiche

;

Keywords:Empirical social research, evaluative research, Mixed Methods Research, theory, research practices, operational experiences

  1. Airoldi E. M. and Bischof J. M. (2016), Improving and Evaluating Topic Models and Other Models of Text. Journal of the American Statistical Association, 111(516), 1381–1403.
  2. Amaturo E. e Punziano, G. (2016), I Mixed Methods nella ricerca sociale. Carocci.
  3. Andrew S. and Halcomb E. (2009), Mixed methods research for nursing and the health sciences. Wiley Online Library.
  4. Bazeley P. (2015), Mixed Methods in Management Research: Implications for the Field. 13(1), 9.
  5. Campbell D. T. and Fiske, D. W. (1959), Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105.
  6. Creswell J. W. and Garrett, A. L. (2008), The “movement” of mixed methods research and the role of educators. South African Journal of Education, 28(3), 321–333.
  7. Doyle L., Brady A.-M. and Byrne G. (2009), An overview of mixed methods research. Journal of Research in Nursing, 14(2), 175–185.
  8. Fetters M. D. and Molina-Azorin J. F. (2017), The Journal of Mixed Methods Research Starts a New Decade: Principles for Bringing in the New and Divesting of the Old Language of the Field. Journal of Mixed Methods Research, 11(1), 3–10.
  9. Fidel R. (2008), Are we there yet?: Mixed methods research in library and information science. Library & Information Science Research, 30(4), 265–272.
  10. Grafton J., Lillis A. M. and Mahama, H. (2011), Mixed methods research in accounting. Qualitative Research in Accounting & Management, 8(1), 5–21.
  11. Greene J. C. (2007), Mixed Methods in Social Inquiry. John Wiley & Sons.
  12. Greene J. C. (2008), Is Mixed Methods Social Inquiry a Distinctive Methodology? Journal of Mixed Methods Research, 2(1), 7–22.
  13. Greene J. C., Caracelli V. J. and Graham W. F. (1989), Toward a conceptual framework for mixed-method evaluation designs. Educational Evaluation and Policy Analysis, 11(3), 255–274.
  14. Hall J. N. (2013), Pragmatism, Evidence, and Mixed Methods Evaluation. New Directions for Evaluation, 2013(138), 15–26.
  15. Krishnan A. (2009), What are academic disciplines? Some observations on the disciplinarity vs. interdisciplinarity debate.
  16. Lopez-Fernandez O. and Molina-Azorin J. F. (2011), The use of mixed methods research in the field of behavioural sciences. Quality & Quantity, 45(6), 1459.
  17. Mauceri, S. (2017). L’avvento dell’era dei mixed methods. Nuovo paradigma o deadline di un dibattito? Sociologia e Ricerca Sociale, 113, 39–61.
  18. Mertens D. M. (2014), Research and Evaluation in Education and Psychology: Integrating Diversity With Quantitative, Qualitative, and Mixed Methods. SAGE Publications.
  19. Niaz M. (2008), A Rationale for Mixed Methods (Integrative) Research Programmes in Education. Journal of Philosophy of Education, 42(2), 287–305.
  20. Nicolescu B. (2002), Manifesto of Transdisciplinarity. SUNY Press.
  21. O’Cathain A. (2009), Editorial: Mixed Methods Research in the Health Sciences: A Quiet Revolution. Journal of Mixed Methods Research, 3(1), 3–6.
  22. O’Cathain A., Murphy E. and Nicholl J. (2007), Why, and how, mixed methods research is undertaken in health services research in England: A mixed methods study. BMC Health Services Research, 7(1), 85.
  23. Onwuegbuzie A. J. and Leech N. L. (2004), Enhancing the interpretation of “significant” findings: The role of mixed methods research. The qualitative report, 9(4), 770–792.
  24. Plano Clark V. L. and Ivankova N. V. (2016), Mixed methods research. A guide to the field. Sage.
  25. Roberts M. E., Stewart B. M. and Tingley D. (2014), stm: R package for structural topic models. R package version 0.6, 1.
  26. Steyvers M. and Griffiths T. (2007), Probabilistic topic models. Handbook of latent semantic analysis, 427(7), 424–440.
  27. Tashakkori A. and Creswell J. W. (2008), Editorial: Mixed Methodology Across Disciplines. Journal of Mixed Methods Research, 2(1), 3–6.
  28. Tashakkori A. and Teddlie C. (2003), Handbook of mixed methods in social & behavioral research. Sage.

Noemi Novello, I mixed methods e la valutazione: un’analisi tramite Structural Topic Model in "RIV Rassegna Italiana di Valutazione" 76/2020, pp 107-122, DOI: 10.3280/RIV2020-076007