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Online Quantitative Research Methodology: Reflections on Good Practices and Future Perspectives

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Intelligent Computing (SAI 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 506))

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Abstract

The methodology of quantitative research in psychology was essentially addressed in the presence to investigate certain dimensions in training such as motivation, perception, etc. Since 2019, after the pandemic, it has been necessary to move the surveys online as new tools. The researcher would like to investigate this phenomenon of sampling, research designs of the instruments validated in the last three years which is 2019–2021. Investigating these concerns has allowed researchers to perform systematic studies on the effects of online teaching on learning, social participation, and feeling of community. The specific setting in which the phenomena were investigated altered the theoretical framework of the research designs. The techniques and methods of data gathering are fundamentally innovated once the research issue has been conceived. Even the tools used to measure the variables involved in the researched processes are improvised or subjected to rewriting or alteration. The population has changed: subjects are sampled in different ways, and there could be a considerably higher number of subjects to search. As a result, there's a chance for new inaccuracies that weren't present in face-to-face surveys or previous online research. As a result, the statistical analysis of the data must take care to avoid reasoning errors. Validity, as well as the processes’ reliability and replicability, remain top priorities in these researches. Furthermore, the methodologies of experimental or quasi-experimental research, the correlation research approach, the questionnaire survey, the interview, and participant observation have all required redefining of their internal characteristics. In light of the diversity of the landscape investigated, the researcher made a comprehensive evaluation of the literature on quantitative research technique in connection to online training.

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References

  1. Stitzlein, C., Fielke, S., Waldner, F., Sanderson, T.: Reputational risk associated with big data research and development: an interdisciplinary perspective. Sustainability 13(16) (2021). https://doi.org/10.3390/su13169280

  2. Perochon, S., et al.: A scalable computational approach to assessing response to name in toddlers with autism. J. Child Psychol. Psych. Allied Discipl. 62(9), 1120–1131 (2021). https://doi.org/10.1111/jcpp.13381

  3. Onyeaka, H.K., Zambrano, J., Longley, R.M., Celano, C.M., Naslund, J.A., Amonoo, H.L.: Use of digital health tools for health promotion in cancer survivors. Psychooncology 30(8), 1302–1310 (2021). https://doi.org/10.1002/pon.5677

    Article  Google Scholar 

  4. Martin, F., Sun, T., Westine, C.D.: A systematic review of research on online teaching and learning from 2009 to 2018. Comput. Educ. 159, 104009 (2020)

    Article  Google Scholar 

  5. Wootton, B.M., et al.: Internet-delivered cognitive-behaviour therapy (ICBT) for obsessive-compulsive disorder when delivered as routine clinical care: a phase IV clinical trial. J. Anxiety Disord. 82, 102444 (2021)

    Article  Google Scholar 

  6. Helm, C., Huber, S., Loisinger, T.: Meta-review on findings about teaching and learning in distance education during the corona pandemic—evidence from Germany, Austria and Switzerland. [Was wissen wir über schulische Lehr-Lern-Prozesse im Distanzunterricht während der Corona-Pandemie? – Evidenz aus Deutschland, Österreich und der Schweiz] Zeitschrift Fur Erziehungswissenschaft 24(2), 237–311 (2021). https://doi.org/10.1007/s11618-021-01000-z

  7. Shevchenko, Y., Kuhlmann, T., Reips, U.-D.: Samply: a user-friendly smartphone app and web-based means of scheduling and sending mobile notifications for experience-sampling research. Behav. Res. Methods 53(4), 1710–1730 (2021). https://doi.org/10.3758/s13428-020-01527-9

    Article  Google Scholar 

  8. Margarida, R., Rui, S.R., Franco, M.: Teaching and researching in the context of covid-19: an empirical study in higher education. Sustainability (Switzerland) 13(16) (2021). https://doi.org/10.3390/su13168718

  9. Kurten, S., Brimmel, N., Klein, K., Hutter, K.: Nature and extent of quantitative research in social work journals: a systematic review from 2016 to 2020. British J. Soc. Work (2021). https://doi.org/10.1093/bjsw/bcab171

  10. Gupta, A., Jagzape, A., Kumar, M.: Social media effects among freshman medical students during COVID-19 lock-down: an online mixed research. J. Educ. Health Prom. 10(1) (2021). https://doi.org/10.4103/jehp.jehp_749_20

  11. Stys, P., et al.: Trust, quality, and the network collection experience: a tale of two studies on the democratic republic of the congo. Soc. Networks 68, 237–255 (2022). https://doi.org/10.1016/j.socnet.2021.08.002

    Article  Google Scholar 

  12. Matović, N., Ovesni, K.: Interaction of quantitative and qualitative methodology in mixed methods research: integration and/or combination. Int. J. Soc. Res. Methodol. 1–14 (2021)

    Google Scholar 

  13. Yue, C., Xu, X.: Review of quantitative methods used in Chinese educational research, 1978–2018. ECNU Rev. Educ. 2(4), 515–543 (2019)

    Article  Google Scholar 

  14. Lu, M., Cui, T., Huang, Z., Zhao, H., Li, T., Wang, K.: A systematic review of questionnaire-based quantitative research on MOOCs. Int. Rev. Res. Open Distrib. Learn. 22(2), 285–313 (2021)

    Google Scholar 

  15. Evans, J.R., Mathur, A.: The value of online surveys: a look back and a look ahead. Internet Research (2021)

    Google Scholar 

  16. Salameh, J.-P., et al.: Preferred reporting items for systematic review and meta-analysis of diagnostic test accuracy studies (PRISMA-DTA): explanation, elaboration, and checklist. BMJ 370 (2020)

    Google Scholar 

  17. Maraolo, A.E.: Una bussola per le revisioni sistematiche: la versione italiana della nuova edizione del PRISMA statement. Medici oggi XXV, 1–28 (2021)

    Google Scholar 

  18. Williams, R.I., Clark, L.A., Clark, W.R., Raffo, D.M.: Re-examining systematic literature review in management research: additional benefits and execution protocols. Europ. Manage. J. 39, 521–533 (2020)

    Google Scholar 

  19. Jeffery, K.A., Bauer, C.F.: Students’ responses to emergency remote online teaching reveal critical factors for all teaching. J. Chem. Educ. 97(9), 2472–2485 (2020)

    Article  Google Scholar 

  20. Kaushik, M.K., Verma, D.: Determinants of digital learning acceptance behavior. J. Appl. Res. High. Educ. 12(4), 659–672 (2020)

    Article  Google Scholar 

  21. Withington, T., Alcorn, N., Maybery, D., Goodyear, M.: Building research capacity in clinical practice for social workers: a training and mentorship approach. Adv. Ment. Health 18(1), 73–90 (2020)

    Article  Google Scholar 

  22. Herkanaidu, R., Furnell, S.M., Papadaki, M.: Towards a cross-cultural education framework for online safety awareness. Information & Computer Security, ahead-of-print (2021)

    Google Scholar 

  23. Vanhala, M., Lu, C., Peltonen, J., Sundqvist, S., Nummenmaa, J., Järvelin, K.: The usage of large data sets in online consumer behaviour: a bibliometric and computational text-mining–driven analysis of previous research. J. Bus. Res. 106, 46–59 (2020)

    Article  Google Scholar 

  24. Parks-Leduc, L., Mulligan, L., Rutherford, M.: Can ethics be taught? Examining the impact of distributed ethical training and individual characteristics on ethical decision-making. Acad. Manage. Learn. Educ. 20, 30–49 (2021)

    Article  Google Scholar 

  25. Bragg, L.A., Walsh, C., Heyeres, M.: Successful design and delivery of online professional development for teachers: a systematic review of the literature. Comput. Educ. 166, 104158 (2021)

    Article  Google Scholar 

  26. Rohr-Mentele, S., Forster-Heinzer, S.: Practical validation framework for competence measurement in VET: a validation study of an instrument for measuring basic commercial knowledge and skills in Switzerland. Emp. Res. Vocat. Educ. Train. 13(1), 1–25 (2021). https://doi.org/10.1186/s40461-021-00122-2

    Article  Google Scholar 

  27. Hobby, L., Ullman, J., Ferfolja, T.: Parental attitudes towards inclusiveness instrument (PATII): Psychometric evaluation of a new instrument measuring parental beliefs about gender and sexuality diversity inclusions in schools. J. Sch. Psychol. 86, 222–242 (2021). https://doi.org/10.1016/j.jsp.2021.02.008

    Article  Google Scholar 

  28. Aiken, J.M., De Bin, R., Lewandowski, H.J., Caballero, M.D.: Framework for evaluating statistical models in physics education research. Phys. Rev. Phys. Educ. Res. 17(2) (2021). https://doi.org/10.1103/PhysRevPhysEducRes.17.020104

  29. Rahmati, J., Izadpanah, S., Shahnavaz, A.: A meta-analysis on educational technology in English language teaching. Lang. Test. Asia 11(1), 1–20 (2021). https://doi.org/10.1186/s40468-021-00121-w

    Article  Google Scholar 

  30. Ma, L., Lee, C.S.: Evaluating the effectiveness of blended learning using the ARCS model. J. Comput. Assist. Learn. 37(5), 1397–1408 (2021). https://doi.org/10.1111/jcal.12579

    Article  Google Scholar 

  31. Samuelsson, R., Price, S., Jewitt, C.: How pedagogical relations in early years settings are reconfigured by interactive touchscreens. Br. J. Edu. Technol. (2021). https://doi.org/10.1111/bjet.13152

    Article  Google Scholar 

  32. Daugvilaite, D.: Exploring perceptions and experiences of students, parents and teachers on their online instrumental lessons. Music. Educ. Res. 23(2), 179–193 (2021). https://doi.org/10.1080/14613808.2021.1898576

    Article  Google Scholar 

  33. Klein, J.W., Tyler-Parker, G., Bastian, B.: Measuring psychological distress among Australians using an online survey. Aust. J. Psychol. 72(3), 276–282 (2020). https://doi.org/10.1111/ajpy.1228

    Article  Google Scholar 

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Authors and Affiliations

  1. Learning Science Hub, University of Foggia, via Arpi 176, 71121, Foggia, Italy

    Pierpaolo Limone, Giusi Antonia Toto, Piergiorgio Guarini & Marco di Furia

Authors
  1. Pierpaolo Limone
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  2. Giusi Antonia Toto
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  3. Piergiorgio Guarini
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  4. Marco di Furia
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Correspondence to Piergiorgio Guarini .

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  1. Saga University, Saga, Japan

    Kohei Arai

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Limone, P., Toto, G.A., Guarini, P., di Furia, M. (2022). Online Quantitative Research Methodology: Reflections on Good Practices and Future Perspectives. In: Arai, K. (eds) Intelligent Computing. SAI 2022. Lecture Notes in Networks and Systems, vol 506. Springer, Cham. https://doi.org/10.1007/978-3-031-10461-9_45

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