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Journal articles on the topic 'Mixed methods'

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Published: 4 June 2021
Last updated: 7 July 2024

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1

Howe, Kenneth R. "Mixed Methods, Mixed Causes?" Qualitative Inquiry 17, no. 2 (December 31, 2010): 166–71. http://dx.doi.org/10.1177/1077800410392524.

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2

Balding, David J., Gregory S. Barsh, Gregory P. Copenhaver, and Chengqi Yi. "Mixed methods." PLOS Genetics 16, no. 7 (July 15, 2020): e1008950. http://dx.doi.org/10.1371/journal.pgen.1008950.

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3

Lister, Raymond. "Mixed methods." ACM SIGCSE Bulletin 37, no. 4 (December 2005): 18–19. http://dx.doi.org/10.1145/1113847.1113857.

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4

Bliss, Donna Zimmaro. "Mixed or Mixed Up Methods?" Nursing Research 50, no. 6 (November 2001): 331. http://dx.doi.org/10.1097/00006199-200111000-00001.

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5

Lederman, Norman G., and Judith S. Lederman. "Mixed Up About Mixed Methods." Journal of Science Teacher Education 24, no. 7 (November 16, 2013): 1073–76. http://dx.doi.org/10.1007/s10972-013-9367-7.

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6

Gilbert, Tony. "Mixed methods and mixed methodologies." Journal of Research in Nursing 11, no. 3 (May 2006): 205–17. http://dx.doi.org/10.1177/1744987106064634.

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7

Askun, Volkan, and Rabia Cizel. "Twenty Years of Research on Mixed Methods." Journal of Mixed Methods Studies 1, no. 1 (March 11, 2020): 1–16. http://dx.doi.org/10.14689/jomes.2020.1.2.

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8

Wilson, Virginia. "Research Methods: Mixed Methods Research." Evidence Based Library and Information Practice 11, no. 1(S) (March 4, 2016): 56. http://dx.doi.org/10.18438/b8qs53.

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9

Wilson, Virginia. "Research Methods: Mixed Methods Research." Evidence Based Library and Information Practice 8, no. 2 (June 12, 2013): 275. http://dx.doi.org/10.18438/b8801m.

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10

Halcomb, Elizabeth, and Louise Hickman. "Mixed methods research." Nursing Standard 29, no. 32 (April 8, 2015): 41–47. http://dx.doi.org/10.7748/ns.29.32.41.e8858.

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11

Hesse-Biber, Sharlene. "Mixed Methods Research." Qualitative Health Research 25, no. 6 (April 17, 2015): 775–88. http://dx.doi.org/10.1177/1049732315580558.

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12

Mertens, Donna M. "Transformative Mixed Methods." American Behavioral Scientist 56, no. 6 (February 2, 2012): 802–13. http://dx.doi.org/10.1177/0002764211433797.

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13

Sowicz, Timothy Joseph. "Mixed methods designs." PAIN 158, no. 4 (April 2017): 760. http://dx.doi.org/10.1097/j.pain.0000000000000806.

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14

Plano Clark, Vicki L. "Mixed methods research." Journal of Positive Psychology 12, no. 3 (December 9, 2016): 305–6. http://dx.doi.org/10.1080/17439760.2016.1262619.

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15

Golder, Su, Kate Light, and Lisa Stirk. "Mixed methods research." Journal of Health Services Research & Policy 12, no. 3 (July 1, 2007): 188–89. http://dx.doi.org/10.1258/135581907781543085.

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16

Whitley, Rob. "Mixed-methods studies." Journal of Mental Health 16, no. 6 (January 2007): 697–701. http://dx.doi.org/10.1080/09638230701677837.

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17

Giddings, Lynne S. "Mixed-methods research." Journal of Research in Nursing 11, no. 3 (May 2006): 195–203. http://dx.doi.org/10.1177/1744987106064635.

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18

Ghosh, Rajashi. "Mixed Methods Research." International Journal of Adult Vocational Education and Technology 7, no. 2 (April 2016): 32–41. http://dx.doi.org/10.4018/ijavet.2016040103.

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Mixed methods research (MMR) is increasingly becoming a popular methodological approach in several fields due to the promise it holds for comprehensive understanding of complex problems being researched. However, researchers interested in MMR often lack reference to a guide that can explain the key issues pertaining to the paradigm wars influencing MMR, different objectives of MMR, choice of MMR designs, and articulation of research questions in MMR. This paper addresses that gap through providing a peek into these issues through illustrative examples. This brief introduction to MMR is meant to encourage readers to delve deeper into the MMR literature and make informed decisions in designing and implementing MMR studies.
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19

Teddlie, Charles, and Fen Yu. "Mixed Methods Sampling." Journal of Mixed Methods Research 1, no. 1 (January 2007): 77–100. http://dx.doi.org/10.1177/1558689806292430.

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20

Freshwater, Dawn. "Mixed Methods Research." Journal of Mixed Methods Research 9, no. 4 (September 18, 2015): 295–96. http://dx.doi.org/10.1177/1558689815606008.

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21

Creamer, Elizabeth G. "Striving for Methodological Integrity in Mixed Methods Research: The Difference Between Mixed Methods and Mixed‐Up Methods." Journal of Engineering Education 107, no. 4 (October 2018): 526–30. http://dx.doi.org/10.1002/jee.20240.

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22

Rizzo Parse, Rosemarie. "Mixed Methods or Mixed Meanings in Research?" Nursing Science Quarterly 22, no. 2 (April 2009): 101. http://dx.doi.org/10.1177/0894318409331939.

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23

Conte, Dajana, Raffaele D’Ambrosio, Maria Pia D’Arienzo, and Beatrice Paternoster. "Multivalue mixed collocation methods." Applied Mathematics and Computation 409 (November 2021): 126346. http://dx.doi.org/10.1016/j.amc.2021.126346.

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24

Millington, James D. A., and John Wainwright. "Mixed qualitative-simulation methods." Progress in Human Geography 41, no. 1 (July 10, 2016): 68–88. http://dx.doi.org/10.1177/0309132515627021.

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Across geography there has been variable engagement with the use of simulation and agent-based modelling. We argue that agent-based simulation provides a complementary method to investigate geographical issues which need not be used in ways that are epistemologically different in kind from some other approaches in contemporary geography. We propose mixed qualitative-simulation methods that iterate back-and-forth between ‘thick’ (qualitative) and ‘thin’ (simulation) approaches and between the theory and data they produce. These mixed methods accept simulation modelling as process and practice; a way of using computers with concepts and data to ensure social theory remains embedded in day-to-day geographical thinking.
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25

Teddlie, Charles, and Fen Yu. "WITHDRAWN - Mixed Methods Sampling." Journal of Mixed Methods Research 1, no. 1 (January 2007): NP1. http://dx.doi.org/10.1177/2345678906292430.

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26

Stolz, Jörg. "Milieus and Mixed Methods." KZfSS Kölner Zeitschrift für Soziologie und Sozialpsychologie 69, S2 (June 28, 2017): 361–86. http://dx.doi.org/10.1007/s11577-017-0463-0.

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27

Poth, Cheryl, and Anthony J. Onwuegbuzie. "Special Issue: Mixed Methods." International Journal of Qualitative Methods 14, no. 2 (April 2015): 1–4. http://dx.doi.org/10.1177/160940691501400201.

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28

Onwuegbuzie, Anthony J., and Cheryl Poth. "Special Issue: Mixed Methods." International Journal of Qualitative Methods 14, no. 2 (April 2015): 122–25. http://dx.doi.org/10.1177/160940691501400203.

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29

Mertens, Donna M. "Transformative Mixed Methods Research." Qualitative Inquiry 16, no. 6 (March 23, 2010): 469–74. http://dx.doi.org/10.1177/1077800410364612.

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30

Goodhue, Catherine J., Natalie E. Demeter, Rita V. Burke, Khadija T. Toor, Jeffrey S. Upperman, and Russell J. Merritt. "Mixed-Methods Pilot Study." Nutrition in Clinical Practice 31, no. 2 (October 8, 2015): 257–65. http://dx.doi.org/10.1177/0884533615605828.

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31

Mertens, Donna M. "Divergence and Mixed Methods." Journal of Mixed Methods Research 4, no. 1 (December 29, 2009): 3–5. http://dx.doi.org/10.1177/1558689809358406.

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32

Mertens, Donna M. "Publishing Mixed Methods Research." Journal of Mixed Methods Research 5, no. 1 (December 5, 2010): 3–6. http://dx.doi.org/10.1177/1558689810390217.

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33

Rinne, Tiffany, and John Fairweather. "A Mixed Methods Approach." Journal of Mixed Methods Research 6, no. 3 (September 9, 2011): 166–83. http://dx.doi.org/10.1177/1558689811420572.

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34

Guest, Greg. "Describing Mixed Methods Research." Journal of Mixed Methods Research 7, no. 2 (October 4, 2012): 141–51. http://dx.doi.org/10.1177/1558689812461179.

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35

Thomas, J. M., and D. Trujillo. "Mixed finite volume methods." International Journal for Numerical Methods in Engineering 46, no. 9 (November 30, 1999): 1351–66. http://dx.doi.org/10.1002/(sici)1097-0207(19991130)46:9<1351::aid-nme702>3.0.co;2-0.

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36

Sandelowski, Margarete. "Unmixing Mixed-Methods Research." Research in Nursing & Health 37, no. 1 (November 8, 2013): 3–8. http://dx.doi.org/10.1002/nur.21570.

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37

Weis, Lois, Margaret Eisenhart, Thomas S. Weisner, Paul Cobb, Greg J. Duncan, Elizabeth Albro, Ruby Mendenhall, et al. "Exemplary Mixed-Methods Research Studies Compiled by the Mixed Methods Working Group." Teachers College Record: The Voice of Scholarship in Education 121, no. 10 (October 2019): 1–34. http://dx.doi.org/10.1177/016146811912101008.

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38

Molina-Azorin, José F., and Michael D. Fetters. "In This Issue: Mixed Methods and Interventional Evaluations, Multilevel Mixed Methods Designs, Full Integration in Case Study Research, Mixed Methods-Grounded Theory, Mixed Methods Evaluation Through Cost-Effectiveness Analysis, and Action Research in Mixed Methods Research." Journal of Mixed Methods Research 14, no. 2 (March 17, 2020): 127–30. http://dx.doi.org/10.1177/1558689820912852.

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39

Leech, Nancy L., Amy B. Dellinger, Kim B. Brannagan, and Hideyuki Tanaka. "Evaluating Mixed Research Studies: A Mixed Methods Approach." Journal of Mixed Methods Research 4, no. 1 (October 13, 2009): 17–31. http://dx.doi.org/10.1177/1558689809345262.

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40

Sandelowski, Margarete, Corrine I. Voils, Jennifer Leeman, and Jamie L. Crandell. "Mapping the Mixed Methods–Mixed Research Synthesis Terrain." Journal of Mixed Methods Research 6, no. 4 (December 28, 2011): 317–31. http://dx.doi.org/10.1177/1558689811427913.

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41

Kindt, James T. "Atomistic simulation of mixed-lipid bilayers: mixed methods for mixed membranes." Molecular Simulation 37, no. 7 (June 2011): 516–24. http://dx.doi.org/10.1080/08927022.2011.561434.

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42

Lindemann, Anaïd, and Jörg Stolz. "Teaching mixed methods: Using the Titanic datasets to teach mixed methods data analysis." Methodology 17, no. 3 (September 30, 2021): 231–49. http://dx.doi.org/10.5964/meth.4241.

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The Titanic quantitative dataset has long been used to teach statistics. However, combining the quantitative dataset with a qualitative dataset of survivor testimonies shows that the Titanic case is an even better example to teach mixed methods. This article offers practical tools to teach mixed methods to undergraduate or postgraduate students in the social sciences, using the Titanic datasets. Based on an empirical analysis of the survival probabilities on the Titanic, we show how mixed methods lead to superior explanations than mono-method strategies. This paper has two goals: 1) to introduce the freely available linked Titanic datasets; and 2) to present a three-hour step-by-step exercise with the Titanic datasets that can be used to learn and teach mixed methods.
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43

Hattam, Caroline, Anne Böhnke-Henrichs, Tobias Börger, Daryl Burdon, Maria Hadjimichael, Alyne Delaney, Jonathan P. Atkins, Samantha Garrard, and Melanie C. Austen. "Integrating methods for ecosystem service assessment and valuation: Mixed methods or mixed messages?" Ecological Economics 120 (December 2015): 126–38. http://dx.doi.org/10.1016/j.ecolecon.2015.10.011.

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44

Kim, Ki-Yun, Kyung Sang Lee, and Beomsoo Kim. "Protection Motivation of IP Camera Users: A Mixed Methods Approach." E-Business Studies 19, no. 1 (February 28, 2018): 227–45. http://dx.doi.org/10.20462/tebs.2018.2.19.1.227.

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45

Johnstone, P. Lynne. "Mixed Methods, Mixed Methodology Health Services Research in Practice." Qualitative Health Research 14, no. 2 (February 2004): 259–71. http://dx.doi.org/10.1177/1049732303260610.

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46

Boivin, Jacquelynne Anne. "The Importance of Qualitative Methods in Mixed Methods Studies." International Journal of Adult Education and Technology 12, no. 2 (April 2021): 1–17. http://dx.doi.org/10.4018/ijaet.2021040101.

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This article presents a thorough review of the literature dedicated to learning more about mixed methods research design. Explanatory sequential mixed methods studies and exploratory sequential mixed methods studies are the two types of mixed methods research design models that this article presents in detail. To contextualize different ideas related to research design, the author provides examples of research studies that exemplify different research designs falling within mixed methods. The main objective of this article is to highlight the important role that qualitative research design plays in mixed methods research. Such a presentation of the literature aims to argue that qualitative data substantiates quantitative data as a means to heighten the regard to which qualitative methodology receives.
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47

Archibald, Mandy M., and Anthony J. Onwuegbuzie. "Poetry and Mixed Methods Research." International Journal of Multiple Research Approaches 12, no. 2 (August 31, 2020): 153–65. http://dx.doi.org/10.29034/ijmra.v12n2editorial3.

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Integration—or the meaningful bringing together of different data sets, sampling strategies, research designs, analytic procedures, inferences, or the like—is considered by many to be the hallmark characteristic of mixed methods research. Poetry, with its innate capacity for leveraging human creativity, and like arts-based research more generally, which can provide holistic and complexity-based perspectives through various approaches to data collection, analysis, and representation, can offer something of interest to dialogue on integration in mixed methods research. Therefore, in this editorial, we discuss and promote the use of poetry in mixed methods research. We contend that the complexities and mean-making parallelisms between poetry and mixed methods research render them relevant partners in a quest to complete the hermeneutic circle whose origin represents experiences, phenomena, information, and/or the like. We advance the notion that including poetic representation facilitates the mixed methods research process as a dynamic, iterative, interactive, synergistic, integrative, holistic, embodied, creative, artistic, and transformational meaning-making process that opens up a new epistemological, theoretical, and methodological space. We refer to this as the fourth space, where the quantitative, qualitative, mixed methods, and poetic research traditions intersect to enable different and deeper levels of meaning making to occur. We end our editorial with a poetic representation driven by a word count analysis of our editorial and that synthesizes our thoughts regarding the intersection of poetry and mixed methods research within this fourth space—a representation that we have entitled, “Dear Article.”
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48

Lee, Dianne Mei Cheong, and Swee Ai Teoh. "Mixed methods in developmental research." Social and Management Research Journal 10, no. 2 (December 2, 2013): 91. http://dx.doi.org/10.24191/smrj.v10i2.5229.

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Developmental research is widely used in instructional development which tends to use different data collection methods. The research questions of an instructional development study can be looked at from different angles andusing different methods to approach its research questions. This paper presents an analysis of a developmental research study by Ma (2012), which comprised eleven research questions. Ma sstudy developed from Phase One: identifying the target group scurrent vocabulary learning strategies and vocabulary level, to Phase Two: identifying the characteristics of a vocabulary learning system, to Phase Three: designing a vocabulary learning modulefor Chinese EFL learners. Ma used a mixture of qualitative and quantitative methods to give the depth and breadth to the development of her instructional module. Ma's study is distinctively a developmental research employing a mixed methods approach.
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49

Gelling, Leslie. "When to use mixed methods." Nurse Researcher 21, no. 4 (March 27, 2014): 6–7. http://dx.doi.org/10.7748/nr2014.03.21.4.6.s2.

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50

Stame, Nicoletta. "Mixed Methods e valutazione democratica." RIV Rassegna Italiana di Valutazione, no. 76 (August 2021): 53–70. http://dx.doi.org/10.3280/riv2020-076004.

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