Skip to Main Content

Experimental Psychology (Russia)
2021. Vol. 14, no. 3, 4–16
https://doi.org/10.17759/exppsy.2021140301
ISSN: 2072-7593 / 2311-7036 (online)

Integration Issues of Qualitative and Quantitative Methods in Psychological Research

 
Audio is AI-generated
1090

PDF (RUS)
Online translation in english
GS
Information
in Google Scholar
Metrics

Abstract

The article discusses the integration of qualitative and quantitative methods in psychological research. It is shown that the idea of such integration is embedded in the B.F. Lomov’s systemic paradigm and is in the general trend of modern research related to the Mixed Methods approaches. Examples of the development of the systemic paradigm in scientific and practical research of cognition and communication are given, in particular, concerning the application of the strategy of triangulation and the principles of inductive analysis for the integration of qualitative and quantitative empirical data. The specific possibilities of multiple triangulation and inductive analysis of not only data obtained by qualitative methods, but also quantitative data obtained by instrumental methods are considered. Studies are presented where qualitative (verbal) data are converted into quantitative ones, to which standard statistical procedures are applicable to identify causal links.

General Information

Keywords: system integration, qualitative methods, quantitative methods, mixed methods, triangula- tion, inductive approach, cognitive-communicative approach, verbalization, perception, perceived quality

Journal rubric: Methodology of Psychological Research

OpenAlex citations: 14

OpenAlex trends: Cognitive Science and Mapping, Educational Methods and Teacher Development, Technology and Human Factors in Education and Health

Information about the work in OpenAlex

Number of citations: 14

Topics

Cognitive Science and Mapping

This cluster of papers focuses on the application of Fuzzy Cognitive Maps (FCMs) in modeling complex systems, decision support, and knowledge representation. It explores various learning algorithms for FCMs, their use in scenario development for social-ecological systems, prediction in healthcare decision making, and their role in multi-criteria analysis.

Number of works: 39197  |  Total number of citations: 744496

Topic detailsв OpenAlex

Educational Methods and Teacher Development

This cluster of papers covers a wide range of topics related to innovative approaches in education, technology integration, and sustainable development. It includes research on online learning, teacher training, curriculum design, cognitive development, digital literacy, and the impact of technology on education. The cluster also explores the role of education in adapting to global challenges such as the COVID-19 pandemic and emphasizes the importance of sustainable consumption of energy resources.

Number of works: 53051  |  Total number of citations: 78907

Topic detailsв OpenAlex

Technology and Human Factors in Education and Health

This cluster of papers explores the future of personalized medicine in healthcare, focusing on topics such as artificial intelligence, healthcare technology, medical innovation, ergonomics, biomedical signal analysis, digital health, cyber-physical systems, healthcare automation, and clinical decision support. The papers cover a wide range of interdisciplinary research related to advancing personalized medical treatments and technologies.

Number of works: 27270  |  Total number of citations: 81913

Topic detailsв OpenAlex

Work details in OpenAlex

Article type: scientific article

DOI: https://doi.org/10.17759/exppsy.2021140301

Funding. The study was carried out with the financial support of the Russian Science Foundation (project No 20-68-47048).

Published

For citation: Nosulenko, V.N. (2021). Integration Issues of Qualitative and Quantitative Methods in Psychological Research. Experimental Psychology (Russia), 14(3), 4–16. (In Russ.). https://doi.org/10.17759/exppsy.2021140301

© Nosulenko V.N., 2021

License: CC BY-NC 4.0

References

  1. Alexandrov Yu.I., Nosulenko V.N., Savitskaia T.Y. Verbal’naya otsenka emotsional’nykh i neytral’nykh izobrazheniy [Verbal assessment of emotional and neutral images]. Voprosy psikhologii [Psychology issues], 2020. Vol. 66. No. 6. P. 117—130. (In Russ.).
  2. Zabrodin Yu. M. O nekotorykh napravleniyakh razvitiya otechestvennoy psikhofiziki [On some areas of development of domestic psychophysics]. Psikhologicheskiy zhurnal [Psychological journal], 1982. Vol. 3. No. 2. P. 55—69. (In Russ.).
  3. Lazursky A.F. Ob yestestvennom eksperimente [About natural experiment]. // Trudy pervogo vserossiyskogo s”yezda po eksperimental’noy psikhologii [Proceedings of the First All-Russian Congress on Experimental Psychology]. Sankt-Petersburg, Edition of the Bureau of the Congress. 1911. (In Russ.).
  4. Lahlou S., Nosulenko V.N. «Eksperimental’naya real’nost’»: sistemnaya paradigma izucheniyaikonstruirovaniya rasshirennykh sred [“Experimental reality”: a systemic paradigm for the study and construction of augmented environments]. In: Ideya sistemnosti v sovremennoy psikhologii [The idea of system in modern psychology] // Moscow: Institute of Psychology, Russian Academy of Sciences Publ., 2005. P. 433—468. (In Russ.).
  5. Leontiev A.N. Deyatel’nost’. Soznaniye. Lichnost’ [Activity. Consciousness. Personality]. Moscow, Politizdat Publ., 1977. (In Russ.).
  6. Lomov B.F. Obschenie kak problema jbschej psihologii [Communication as a problem of social psychology]. In: Metodologicheskie problemy sotcial’noj psihologii [Methodological problems of social psychology]. Moscow, Nauka [Science] Publ., 1975. P. 124—135. (In Russ.).
  7. Lomov B.F. Metodologicheskie i teoreticheskie problemy psihologii [Methodological and theoretical problems of psychology]. Moscow, Nauka [Science] Publ., 1999. (In Russ.).
  8. Nosulenko V.N. Psykhofysika vospriyatiya estestvennoj sredy. Diss. dokt. psikhol. nauk. [Psychophysics of perception of natural environment. Dr. Sci. (Psychology) diss.]. Moscow: Institute of Psychology, Russian Academy of Sciences Publ. 2004. (In Russ.).
  9. Nosulenko V.N. Psykhofysika vospriyatiya estestvennoj sredy. Problema vosprinimayemogo katchestva [Psychophysics of perception of natural environment. Problem of Percieved Qualty]. Moscow: Institute of Psychology, Russian Academy of Sciences Publ., 2007. (In Russ.).
  10. Nosulenko V.N., Samoylenko E.S. Induktivnyj analiz v ramkakh prtceptivno-kommunikativnogo podkhoda [Inductive analysis in a perceptual-communicative approach]. In: Aktualnye problem ntjhtnbtcheskoj b prikladnoj psikhologii: traditcii I perspektivy [Actual problems of theoretical and applied psychology: traditions and perspectives]. Yaroslavl’, Yaoslavl’ State University, 2011. P. 366—370. (In Russ.).
  11. Nosulenko V.N., Samoylenko E.S. «Poznanie I obschenie»: sistemnaya issledovatel’skaya paradgma [“Cognition and communication”: system research paradigm]. Psikhologicheskiy zhurnal [Psychological journal], 2012. Vol. 33, No. 4. P. 5—16. (In Russ., аbstr. in Engl.).
  12. Rubinshtein S.L. Osnovy obshchey psikhologii [Fundamentals of General Psychology]. Moscow, Uchpedgiz Publ., 1946. (In Russ.).
  13. Samoylenko E.S. Operatsiya sravneniya pri reshenii kognitivno-kommunikativnykh zadach. Diss. kand. psikhol. nauk. [Comparison operation in solving cognitive and communicative tasks. Dr. Sci. (Psychology) diss.]. Moscow: Institute of Psychology, Russian Academy of Sciences. 1986. (In Russ.).
  14. Samoylenko E.S. Problemy sravneniya v psikhologicheskom issledovanii [Comparison problems in psychological research]. Moscow: Institute of Psychology, Russian Academy of Sciences. 2010. (In Russ.).
  15. Samoylenko E.S. Protsess sravneniya v sistemakh poznaniya, obshcheniya i lichnosti. Diss. dokt. psikhol. nauk. [Comparison process in systems of cognition, communication and personality. Dr. Sci. (Psychology) diss.]. Moscow: Institute of Psychology, Russian Academy of Sciences. 2012. (In Russ.).
  16. Samoylenko E.S., Nosulenko V.N., Melkumyan T.A. Rol’ verbal’no vyrazhennogo sravnenia ob’ektov v sub’ektivnoj ocenke stepeni ih shodstva [The role of verbal expression in the comparison of objects in the subjective assessment of the degree of similarity]. Eksperimental’naya psihologiya [Experimental Psychology (Russia)], 2010. Vol. 3, No. 3, pp. 93—109. (In Russ., аbstr. in Engl.)
  17. Åkerblad L., Seppänen-Järvelä R., Haapakoski K. Integrative Strategies in Mixed Methods Research // Journal of Mixed Methods Research. 2021. Vol. 15, No. 2. P.152—170.
  18. Apostolidis T. Représentations sociales et triangulation: enjeux théorico-méthodologiques // Méthodes d’étude des représentations sociales / J.-C. Abric (Ed.). Ramonville Saint-Agne: Erès, 2003. P. 13—35.
  19. Bryman A. Integrating quantitative and qualitative research: How is it done? // Qualitative Research. 2006. Vol. 6, No. 1. P. 97—113. Doi: 10.1177/1468794106058877
  20. Cicourel A.V. Le raisonnement médical. Paris: Seuil. 2002.
  21. Creswell J.W. Research design: qualitative, quantitative, and mixed method approaches. Thousand Oaks, CA.— L.: Sage Publications, 2002.
  22. Fetters M., Molina-Azorin J. The Journal of Mixed Methods Researchstarts a new decade: The mixed methods research integration trilogy and its dimensions // Journal of Mixed Methods Research. 2017. Vol. 11, No. 3. P. 291—307. Doi: 10.1177/1558689817714066
  23. Flick U., Garms-Homolová V., Herrmann W.J., Kuck J., Röhnsch G. “I Can’t Prescribe Something Just Because Someone Asks for It …”: Using Mixed Methods in the Framework of Triangulation // Journal of Mixed Methods Research. 2012. Vol. 6. No. 2. P. 97—110. DOI: 10.1177/1558689812437183
  24. Garfinkel H. Remarks on Ethnomethodology // J.J. Gumperz, D. Hymes. Directions in Sociolinguistics. New York, Holt, Rinehart and Winston, 1972.
  25. Gelo O.C.G., Braakmann D., Benetka G. Quantitative and qualitative research: beyond the debate // Integrative Physiological and Behavioral Science. 2008. Vol. 42. No. 3. P. 266—290. DOI: 10.1007/s12124-008-9078-3
  26. Guest G. Describing Mixed Methods Research: An Alternative to Typologies // Journal of Mixed Methods Research, 2013. Vol. 7, No. 2. P. 141—151.
  27. Lahlou S., Nosulenko V., Samoylenko E. Numériser le travail. Théories, méthodes, expérimentations. Paris: Lavoisier, 2012. 328 p.
  28. Massey A. Methodological Triangulation, Or How To Get Lost Without Being Found Out // Explorations in methodology, Studies in Educational Ethnography / A. Massey, G. Walford (Eds.). Vol. 2. Stanford: JAI Press, 1994. P. 183—197.
  29. Molina-Azorin J.F. Mixed methods research: An opportunity to improve our studies and our research skills // European Journal of Management and BusinessEconomics. 2016. Vol. 25. P. 37—38.
  30. Morgan D.L. Integrating qualitative and quantitative methods. London: Sage. 2014. Doi: 10.4135/9781544304533
  31. Morgan D., Hoffman K. Searching for qualitatively driven mixed methods research: a citation analysis // Quality & Quantity. 2021. Vol. 55. P. 731—740. Doi: 10.1007/s11135-020-01025-2
  32.  Morse J.M., Niehaus L. Mixed method design: Principles and procedures. Walnut Creek: Left Coast Press, 2009.
  33. Moseholm E., Fetters M.D. Conceptual models to guide integration during analysis in convergent mixed methods studies // Methodological Innovations. 2017. Vol. 10, No. 2. Doi: 10.1177/2059799117703118
  34. Nosulenko V. The estimation of sound intensity when subjects communicate // Soviet and Western perspectives in Social psychology / L.H. Strickland (Ed). New York: Pergamon press, 1979. P. 227—233.
  35. Nosulenko V., Parizet E., Samoylenko E. La méthode d’analyse des verbalisations libres : une application à la caractérisation des bruits de véhicules // Social Science Information. 1998, Vol. 37. No. 4. P. 593—611.
  36. Nosulenko V., Parizet E., Samoylenko E. The emotional component in perceived quality of noises produced by car engines // International Journal of Vehicle Noise and Vibration. 2013. Vol. 9. Nos. 1/2. P. 96—108.
  37. Nosulenko V., Samoylenko E. Approche systémique de l’analyse des verbalisations dans le cadre de l’étude des processus perceptifs et cognitifs // Social Science Information. 1997. Vol. 36. No. 2. P. 223—261.
  38. Olsen W. Triangulation in Social Research: Qualitative and Quantitative Methods Can Really Be Mixed // Developments in Sociology. Ormskirk: Causeway Press, 2004. P. 1—30.
  39. Parizet E., Guyader E., Nosulenko V. Analysis of car door closing sound quality // Applied Acoustics. 2008. Vol. 69. No. 1. P. 12—22.
  40. Patton M.Q. Qualitative research and evaluation methods. Thousand Oaks. CA: Sage, 2014. 832p.
  41. Plano Clark V.L. Huddleston-Cases C.A., Churchill S.L., O’Neil Green D., Garrett A.L. Mixed methods approaches in family science research // Journal of Family Issues. 2008. Vol. 29. No. 11. P. 1543—1566. DOI: 10.1177/0192513X08318251.
  42. Soviet and Western perspectives in Social psychology / L.H. Strickland (Ed). New York: Pergamon press, 1979.
  43. Strauss A., Corbin J. Basics of Qualitative Research. Techniques and Procedures for Developping Grounded Theory. 2nd ed. Thousand Oaks, CA: SAGE Publications. 1998.
  44. Streitz N., Prante Th., Röcker C., Alphen D. van, Stenzel R., Magerkurth C., Lahlou S., Nosulenko V., Jegou F., Sonder F., Plewe D. Smart Artefacts as Affordances for Awareness in Distributed Teams // N. Streitz, A. Kameas, I. Mavrommati (Eds.) The Disappearing Computer. Springer, Heidelberg. Lecture Notes in Computer Science, 2007, Vol. 4500. P. 3—29.
  45. Teddlie C.B., Tashakkori A.M. Foundations of Mixed Methods Research. Integrating Quantitative and Qualitative Approaches in The Social and Behavioral Sciences. Thousand Oaks, Ca.: SAGE. 2009. 388 p.
  46. Thomas D.R. A general inductive approach for analyzing qualitative evaluation data // American Journal of Evaluation. 2006. Vol. 12. No. 2. P. 237—246. DOI: 10.1177/1098214005283748.
  47. Uprichard E., Dawney L. Data Diffraction: Challenging Data Integration in Mixed Methods Research // Journal of Mixed Methods Research. 2019. Vol. 13. No. 1. P. 19—32. DOI: 10.1177/1558689816674650
  48. Willig C. Introducing Qualitative Research in Psychology. Adventures in Theory and Method. Buckingham: Open University Press. 2001.

Information About the Authors

Valeriy N. Nosulenko, Doctor of Psychology, Chief Researcher, Laboratory of Cognitive Processes and Mathematical Psychology, Institute of Psychology, Russian Academy of Sciences, Chief Researcher, Institute of Experimental Psychology, Moscow State University of Psychology and Education, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0003-0591-2335, e-mail: nosulenkovn@ipran.ru

Metrics

 Web Views

Whole time: 3418
Previous month: 27
Current month: 29

 PDF Downloads

Whole time: 1090
Previous month: 11
Current month: 23

 Total

Whole time: 4508
Previous month: 38
Current month: 52