Bibliografie tematiche / Mixed methods

Letteratura scientifica selezionata sul tema "Mixed methods"

Autore: Grafiati
Pubblicato: 4 giugno 2021
Ultima modifica: 7 luglio 2024

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Articoli di riviste sul tema "Mixed methods"

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Howe, Kenneth R. "Mixed Methods, Mixed Causes?" Qualitative Inquiry 17, n. 2 (31 dicembre 2010): 166–71. http://dx.doi.org/10.1177/1077800410392524.

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Balding, David J., Gregory S. Barsh, Gregory P. Copenhaver e Chengqi Yi. "Mixed methods". PLOS Genetics 16, n. 7 (15 luglio 2020): e1008950. http://dx.doi.org/10.1371/journal.pgen.1008950.

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Lister, Raymond. "Mixed methods". ACM SIGCSE Bulletin 37, n. 4 (dicembre 2005): 18–19. http://dx.doi.org/10.1145/1113847.1113857.

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Bliss, Donna Zimmaro. "Mixed or Mixed Up Methods?" Nursing Research 50, n. 6 (novembre 2001): 331. http://dx.doi.org/10.1097/00006199-200111000-00001.

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Lederman, Norman G., e Judith S. Lederman. "Mixed Up About Mixed Methods". Journal of Science Teacher Education 24, n. 7 (16 novembre 2013): 1073–76. http://dx.doi.org/10.1007/s10972-013-9367-7.

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Gilbert, Tony. "Mixed methods and mixed methodologies". Journal of Research in Nursing 11, n. 3 (maggio 2006): 205–17. http://dx.doi.org/10.1177/1744987106064634.

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Askun, Volkan, e Rabia Cizel. "Twenty Years of Research on Mixed Methods". Journal of Mixed Methods Studies 1, n. 1 (11 marzo 2020): 1–16. http://dx.doi.org/10.14689/jomes.2020.1.2.

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Wilson, Virginia. "Research Methods: Mixed Methods Research". Evidence Based Library and Information Practice 11, n. 1(S) (4 marzo 2016): 56. http://dx.doi.org/10.18438/b8qs53.

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Wilson, Virginia. "Research Methods: Mixed Methods Research". Evidence Based Library and Information Practice 8, n. 2 (12 giugno 2013): 275. http://dx.doi.org/10.18438/b8801m.

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Halcomb, Elizabeth, e Louise Hickman. "Mixed methods research". Nursing Standard 29, n. 32 (8 aprile 2015): 41–47. http://dx.doi.org/10.7748/ns.29.32.41.e8858.

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Tesi sul tema "Mixed methods"

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Wiggins, Bradford J. "The Dilemma of Mixed Methods". BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/2810.

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The past three decades have seen a proliferation of research methods, both quantitative and qualitative, available to psychologists. Whereas some scholars have claimed that qualitative and quantitative methods are inherently opposed, recently many more researchers have argued in favor of "mixed methods" approaches. In this dissertation I begin with a review of the mixed methods literature regarding how to integrate qualitative and quantitative methodologies. Based on this review, I argue that current mixed methods approaches have fallen short of their goal of integrating qualitative and quantitative methodologies and I argue that this problem may be due to a problematic ontology. In response to this problem I propose and conduct an ontological analysis, which examines the writings of leading mixed methods researchers for evidence of an underlying ontology. This analysis reveals that an abstractionist ontology underlies current mixed methods approaches. I then propose that an alternative relational ontology might better enable mixed methods researchers to meaningfully relate qualitative and quantitative methodologies and I provide an exploration of what assuming a relational ontology would mean for mixed methods research.
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Bernard, Julia M., e Mary K. Oglesby. "Mixed Methods and the Military". Digital Commons @ East Tennessee State University, 2016. https://dc.etsu.edu/etsu-works/934.

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Romberger, David D. "Optimization methods for mixed minefield clearance". Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1996. http://handle.dtic.mil/100.2/ADA319531.

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Neequaye, Beryl Koteikor. "Reviewing the Quality of Mixed Methods Research Reporting in Comparative and International Education: A Mixed Methods Research Synthesis". Ohio University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1565886346044592.

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NOVELLO, NOEMI. "The Quest for Integration in Mixed Methods Inquiry: A Research Synthesis on Mixed Methods Studies in Social Sciences". Doctoral thesis, Università degli Studi di Milano-Bicocca, 2019. http://hdl.handle.net/10281/241259.

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Abstract (sommario):
Nel campo dei mixed methods nella ricerca sociale, l’integrazione può seguire due possibili logiche generali: una prospettiva di complementarietà, secondo cui com binare strategie qualitative e quantitative sarebbe un tentativo di arricchimento informativo – per ottenere una comprensione più completa di un determinato fenomeno sociale – e una di convergenza, che pone l’attenzione sulla possibilità di superare il bias legato a singoli metodi, attraverso l’integrazione. Mentre il primo punto di vista sembra piuttosto aproblematico, sia da un punto di vista teorico che nell’implementazione empirica, la convergenza sembra porre maggiori sfide metodologiche, soprattutto nell’elicitazione di “meta-inferenze”. Questa tesi di dottorato propone una sintesi di ricerca metodologica di studi che utilizzano un approccio mixed methods alla ricerca sociale. Le domande di ricerca sono relative alla concezione, implementazione e legittimazione epistemologica della questione dell’integrazione all’interno della comunità accademica degli studiosi che si avvalgono di mixed methods nella ricerca sociale. Varie strategie di analisi sono state utilizzate per rispondere agli obiettivi di ricerca: l’analisi automatica del contenuto di articoli pubblicati in riviste accademiche; l’analisi delle reti citazionali degli stessi paper; alcune interviste semistrutturate a esperti nel campo e la relativa analisi tematica, nell’ottica di un’esplorazione più approfondita del punto di vista delle/gli autrici/ori sull’integrazione, nonché come modalità di indagine delle tematiche legate all’epistemologia.
Mixed methods studies in social inquiry may follow two main perspectives on integration: on the one hand, complementarity seeks an information enrichment, a fuller and more comprehensive picture on a social phenomenon; on the other hand, convergence focuses on the chance of overcoming single methods’ bias through mixing. While the first approach results rather unproblematic – both theoretically and empirically – convergence seems to pose additional challenges, especially in the elicitation of “meta-inferences”. This dissertation presents a methodological research synthesis of mixed methods studies in social inquiry. Research questions are related to understandings, implementation and epistemological legitimization of integration within the academic community of scholars applying mixed methods in social sciences. Diverse research strategies were implemented, in order to answer to research objectives: automated content analysis was performed on articles published in academic journals; citation network analysis was applied on references lists of the same papers; semi-structured interviews with experts and the related thematic analysis were helpful to address scholars’ points of view on integration, as well as a modality to explore paradigms and epistemological issues.
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楊謹鴻 e Kim-fong Roseline Yong. "Exploring hikikomori: a mixed methods qualitative research". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B41712146.

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Åkerlund, Mathilda. "IoT on Twitter : A Mixed Methods Study". Thesis, Umeå universitet, Institutionen för informatik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-149232.

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Pai, Hung-Chuan. "Analytical methods for mixed signal processing systems /". The Ohio State University, 1998. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487949508368344.

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Cheng, Xiao Liang. "Some research on mixed finite element methods". HKBU Institutional Repository, 1995. http://repository.hkbu.edu.hk/etd_ra/48.

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Yong, Kim-fong Roseline. "Exploring hikikomori a mixed methods qualitative research /". Click to view the E-thesis via HKUTO, 2008. http://sunzi.lib.hku.hk/hkuto/record/B41712146.

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Libri sul tema "Mixed methods"

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Bryman, Alan. Mixed Methods. 1 Oliver's Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications Ltd, 2006. http://dx.doi.org/10.4135/9781446262566.

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Kuckartz, Udo. Mixed Methods. Wiesbaden: Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-531-93267-5.

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Lüdemann, Jasmin, e Ariane Otto, a cura di. Triangulation und Mixed-Methods. Wiesbaden: Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-24225-1.

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Heap, Vicky, e Jaime Waters. Mixed Methods in Criminology. Abingdon, Oxon ; New York, NY : Routledge, 2018.: Routledge, 2019. http://dx.doi.org/10.4324/9781315143354.

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Specialized ethnographic methods: A mixed methods approach. 2a ed. Lanham, MD: AltaMira Press, 2012.

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Bergman, Manfred. Advances in Mixed Methods Research. 1 Oliver's Yard, 55 City Road, London EC1Y 1SP: SAGE Publications Ltd, 2008. http://dx.doi.org/10.4135/9780857024329.

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Dominguez, Silvia, e Betina Hollstein, a cura di. Mixed Methods Social Networks Research. Cambridge: Cambridge University Press, 2014. http://dx.doi.org/10.1017/cbo9781139227193.

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Berg-Schlosser, Dirk. Mixed Methods in Comparative Politics. London: Palgrave Macmillan UK, 2012. http://dx.doi.org/10.1057/9781137283375.

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Feldon, David F. Mixed Methods for Psychological Measurement. New York: Routledge, 2024. http://dx.doi.org/10.4324/9781003144717.

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Demystifying mixed-signal test methods. Amsterdam: Newnes, 2003.

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Capitoli di libri sul tema "Mixed methods"

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Grecu, Alyssa L., e Matthias Völcker. "Mixed Methods". In Qualitative Bildungsforschung, 229–46. Wiesbaden: Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-18597-8_13.

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Brenner, Susanne C., e L. Ridgway Scott. "Mixed Methods". In Texts in Applied Mathematics, 299–322. New York, NY: Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4757-3658-8_13.

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Auer-Srnka, Katharina J. "Mixed Methods". In Empirische Mastertechniken, 457–90. Wiesbaden: Gabler Verlag, 2009. http://dx.doi.org/10.1007/978-3-8349-8278-0_15.

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Bedard, Katherine K., e Amy Kerivan Marks. "Mixed Methods". In Encyclopedia of Immigrant Health, 1093–96. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-5659-0_519.

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Parahoo, Kader. "Mixed Methods". In Nursing Research, 78–94. London: Macmillan Education UK, 2014. http://dx.doi.org/10.1007/978-1-137-28127-2_6.

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Kennedy, Ian G., Gloria Latham e Hélia Jacinto. "Mixed Methods". In Education Skills for 21st Century Teachers, 5–9. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22608-8_2.

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Foscht, Thomas, Thomas Angerer e Bernhard Swoboda. "Mixed Methods". In Qualitative Marktforschung, 247–59. Wiesbaden: Gabler, 2009. http://dx.doi.org/10.1007/978-3-8349-9441-7_16.

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Brenner, Susanne C., e L. Ridgway Scott. "Mixed Methods". In Texts in Applied Mathematics, 237–60. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4757-4338-8_11.

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Schreier, Margrit, e Özen Odağ. "Mixed Methods". In Handbuch Qualitative Forschung in der Psychologie, 263–77. Wiesbaden: VS Verlag für Sozialwissenschaften, 2010. http://dx.doi.org/10.1007/978-3-531-92052-8_18.

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Schreier, Margrit, e Özen Odağ. "Mixed Methods". In Handbuch Qualitative Forschung in der Psychologie, 159–84. Wiesbaden: Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-26887-9_22.

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Atti di convegni sul tema "Mixed methods"

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Valenzuela-González, Jaime Ricardo. "Mixed methods". In TEEM'19: Technological Ecosystems for Enhancing Multiculturality. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3362789.3362904.

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Damsleth, Eivind. "Mixed Reservoir Characterization Methods". In University of Tulsa Centennial Petroleum Engineering Symposium. Society of Petroleum Engineers, 1994. http://dx.doi.org/10.2118/27969-ms.

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Murdock, Vanessa. "Mixed Methods Machine Learning". In SIGMOD/PODS '23: International Conference on Management of Data. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3555041.3589337.

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Agaian, Sos S., Jaakko T. Astola e Karen O. Egiazarian. "Mixed methods for nonlinear filtering". In IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, a cura di Edward R. Dougherty, Jaakko T. Astola e Harold G. Longbotham. SPIE, 1993. http://dx.doi.org/10.1117/12.144747.

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Brillout, Angelo, Daniel Kroening e Thomas Wahl. "Mixed abstractions for floating-point arithmetic". In 2009 Formal Methods in Computer-Aided Design (FMCAD). IEEE, 2009. http://dx.doi.org/10.1109/fmcad.2009.5351141.

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Bach, M., C. Santos-Hövener e S. Jordan. "Mixed Methods in der Partizipativen Gesundheitsforschung". In „Neue Ideen für mehr Gesundheit“. Georg Thieme Verlag KG, 2019. http://dx.doi.org/10.1055/s-0039-1694642.

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Garcia-Gathright, Jean, Christine Hosey, Brian St Thomas, Ben Carterette e Fernando Diaz. "Mixed methods for evaluating user satisfaction". In RecSys '18: Twelfth ACM Conference on Recommender Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3240323.3241622.

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Lie, K. A., S. Krogstad e B. Skaflestad. "Mixed Multiscale Methods for Compressible Flow". In ECMOR XIII - 13th European Conference on the Mathematics of Oil Recovery. Netherlands: EAGE Publications BV, 2012. http://dx.doi.org/10.3997/2214-4609.20143240.

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Gibson, Paul, Bruno Mermet e Dominique Méry. "Feature Interactions: a Mixed Semantic Model Approach". In Proceedings of the 1st Irish Workshop on Formal Methods. BCS Learning & Development, 1997. http://dx.doi.org/10.14236/ewic/fm1997.3.

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Chandar, Praveen, Jean Garcia-Gathright, Christine Hosey, Brian St. Thomas e Jennifer Thom. "Developing Evaluation Metrics for Instant Search Using Mixed Methods Methods". In SIGIR '19: The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3331184.3331293.

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Rapporti di organizzazioni sul tema "Mixed methods"

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Watkins, Daphne C. Mixed Methods Research. Instats Inc., 2023. http://dx.doi.org/10.61700/02hov92mhf16c469.

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Abstract (sommario):
This seminar will provide depth and breadth on developing well-refined and theoretically driven mixed methods studies. It also teaches participants how to use appropriate methods and instruments during mixed methods data collection, integration, and analysis. The content will be enhanced by an overview of both qualitative and quantitative methods, separately, then together, to examine how the strengths of one outweigh the weakness of the other. An official Instats certificate of completion is provided at the conclusion of the seminar. The seminar offers 2 ECTS Equivalent points for European Ph.D. students.
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Watkins, Daphne C. Mixed Methods Research. Instats Inc., 2023. http://dx.doi.org/10.61700/waf99gpnher26469.

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Abstract (sommario):
This seminar will provide depth and breadth on developing well-refined and theoretically driven mixed methods studies. It also teaches participants how to use appropriate methods and instruments during mixed methods data collection, integration, and analysis. The content will be enhanced by an overview of both qualitative and quantitative methods, separately, then together, to examine how the strengths of one outweigh the weakness of the other. An official Instats certificate of completion is provided at the conclusion of the seminar. The seminar offers 2 ECTS Equivalent points for European Ph.D. students.
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Creamer, Elizabeth. Contemporary Mixed Methods Research. Instats Inc., 2023. http://dx.doi.org/10.61700/s0sqns3fhs62h469.

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Abstract (sommario):
This 3-day seminar offers a comprehensive understanding of mixed methods research, focusing on its integration and theoretical approach. Participants will acquire skills such as crafting a mixed methods purpose statement, creating diverse visual displays that combine data from various sources, and designing a procedural diagram that shows the integration points in the research process. The seminar is based on the seminar leader's two textbooks on mixed methods, and each day ends with a chance to win a complimentary copy of one of these books. An official Instats certificate of completion will be provided along with 2 ECTS Equivalent points.
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Creamer, Elizabeth. Contemporary Mixed Methods Research. Instats Inc., 2023. http://dx.doi.org/10.61700/ellubimu8hji0469.

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Abstract (sommario):
This 3-day seminar offers a comprehensive understanding of mixed methods research, focusing on its integration and theoretical approach. Participants will acquire skills such as crafting a mixed methods purpose statement, creating diverse visual displays that combine data from various sources, and designing a procedural diagram that shows the integration points in the research process. The seminar is based on the seminar leader's two textbooks on mixed methods, and each day ends with a chance to win a complimentary copy of one of these books. An official Instats certificate of completion will be provided along with 2 ECTS Equivalent points.
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Fabregues, Sergi. Introduction to Mixed Methods Research. Instats Inc., 2023. http://dx.doi.org/10.61700/mgrotvwij3o3a532.

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Abstract (sommario):
This two-day seminar focuses on mixed methods research and is designed to introduce participants to its principles and practical considerations. It covers the logic, designs, and procedures of integrating qualitative and quantitative methods, aiming to enhance the understanding of multifaceted research phenomena. The seminar is practical in nature, discussing the rationale, research questions, design types, integration strategies, and quality reporting principles of mixed methods research. Geared towards graduate students and early-stage researchers, it offers an opportunity for hands-on design work, discussions, and access to extensive online resources, including a chat forum and recordings, along with an official Instats certificate of completion.
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Watkins, Daphne C. Secondary Data in Mixed Methods Research. Instats Inc., 2023. http://dx.doi.org/10.61700/9pymd85g70u1o529.

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Abstract (sommario):
The ability to effectively utilize secondary data in mixed methods research is becoming increasingly important. This two-day workshop, led by Daphne C. Watkins, is designed to equip PhD students, professors, and professional researchers with the skills and knowledge necessary to navigate this complex landscape. An official Instats certificate of completion is provided at the conclusion of the seminar.
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Fabregues, Sergi. Integration in Mixed Methods Research: Principles and Practices. Instats Inc., 2023. http://dx.doi.org/10.61700/s85qbu6jwcubp469.

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Abstract (sommario):
The integration of quantitative and qualitative components is the most challenging part of a mixed methods study, and therefore integration procedures and strategies are crucial for authors to obtain the maximum added value from their mixed methods studies. This one-day seminar focuses on the principles and practice of integration in mixed methods research. At the conclusion of the seminar an official Instats completion is provided, along with 1 ECTS Equivalent point.
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Doss, Cheryl, e Deborah Rubin. Exploring women’s empowerment using a mixed methods approach. Washington, DC: International Food Policy Research Institute, 2021. http://dx.doi.org/10.2499/p15738coll2.134478.

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Silver, Christina. Harnessing NVivo for Qualitative and Mixed-Methods Research. Instats Inc., 2023. http://dx.doi.org/10.61700/nt0r494153uop469.

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Abstract (sommario):
This seminar introduces you to harnessing NVivo to accomplish qualitative and mixed-methods analysis. The seminar follows the principles of ensuring analytic strategies drive the use of software tools as described in the CAQDAS pedagogy, the Five-Level QDA method, providing both theoretical understandings of the role of software like NVivo in the analysis process, and practical experience with operating NVivo to accomplish a variety of analytic tasks. You will be guided through the typical phases of an analysis and how they can be facilitated through the creative and systematic use of NVivo. An official Instats certificate of completion is provided and 2 ECTS Equivalent points are offered for European PhD students.
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Silver, Christina. Harnessing Dedoose for Qualitative and Mixed-Methods Analysis. Instats Inc., 2023. http://dx.doi.org/10.61700/ub9kx30m0ga6o469.

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Abstract (sommario):
This seminar, 'Harnessing Dedoose for Qualitative and Mixed-Methods Data Analysis', is a one-day workshop aimed at equipping researchers with the skills to effectively use Dedoose in their research. Led by Christina Silver, an expert in the field, the workshop covers a range of topics including preparing and importing data, coding strategies, data visualization, and troubleshooting common issues in Dedoose. The seminar, which will be taught via Zoom, is a valuable opportunity for researchers to enhance their qualitative and mixed-methods data analysis skills, with all materials available online for 30 days after the seminar begins. An official Instats certificate of completion and 1 ECTS Equivalent point is provided at the conclusion of the seminar.
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