Restricted accessEditorialFirst published online 2024-10
In This Issue: Artificial Intelligence,Bridging Methodological Divides Through Mixed Methods,Literature Reviews,Integration of Structural Equation Modeling and Autoethnography,and Research Problems in Mixed Methods
CameronR.GolenkoX. (Eds.), (2023). Handbook of mixed methods research in business and management. Edward Elgar.
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ClubbsB. H.ChinE. G. (2024). Integrating autoethnography and dynamic p-technique: A convergent explanatory bidirectional single-subject study on embodying mindfulness as an instructor. Journal of Mixed Methods Research, 18(4), 462–482. https://doi.org/10.1177/15586898231187527
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CooperA. L.BrennanM. C.LeslieG. D.BrownJ. A. (2024). Integrating literature as a data source in mixed methods research. Journal of Mixed Methods Research, 18(4), 447–461. https://doi.org/10.1177/15586898231188500
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HeapV.WatersJ. (2019). Mixed methods in criminology. Routledge.
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JamesT. G.GuettermanT. C.Molina-AzorinJ. F. (2024). Increasing transparency on the use of artificial intelligence and automated tools in mixed methods studies. Journal of Mixed Methods Research, 18(4), 425–429. https://doi.org/10.1177/15586898241287294
SnodgrassM. R.LoveH. R.RobertsC. A.GilsonC. B.YangX.BadgettN. M. (2024). Is mixed methods bridging educational research divides? Using prevalence as an indicator of change. Journal of Mixed Methods Research, 18(4), 430–446. https://doi.org/10.1177/15586898231184663
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YounasA.DuranteA.FàbreguesS. (2024). Understanding the nature of and identifying and formulating “research problems” in mixed methods research. Journal of Mixed Methods Research, 18(4), 483–502. https://doi.org/10.1177/15586898231191441
