scholarly journals Making sense with mixed methods: An analysis of the software tool SenseMaker as a novel mixed methods research tool

2020 ◽  
Author(s):  
Lauren Powell

This paper explore the software tool SenseMaker in relation to challenges facing the development of mixed methods research.

2020 ◽  
Author(s):  
Lauren Powell

This paper explore the software tool SenseMaker in relation to challenges facing the development of mixed methods research.


2018 ◽  
Vol 10 (1) ◽  
pp. 422-436 ◽  
Author(s):  
Bonnie Kaul Nastasi ◽  
◽  
Amanda P. Borja ◽  
Meredith Summerville ◽  
◽  
...  

2020 ◽  
Vol 11 (1) ◽  
pp. 140-150 ◽  
Author(s):  
Lloyd Rieber

Q methodology provides a unique mixed-methods means of examining subjectivity through the use of an activity called a Q sort in which participants must sort a list of given items within a predetermined sorting form. Although Q methodology has a long history as a research tool, its use as an instructional tool has not been extensively explored. This is unfortunate because the Q sort activity—an element of Q methodology—offers instructors with an evidence-based approach to helping individual students understand their own subjective points of view while also helping to reveal distinctive subjective profiles or perspectives held by all students in the class. One reason why Q sorts may not have been embraced by instructors is perhaps the fact that it is difficult to prepare a Q sort in its traditional, paper-based form. A prototype of a Q sort software tool was built to meet this challenge. The purpose of this paper is to present the story of the current design of this tool. Four categories of design iterations developed over a four-year period are presented and discussed.


2021 ◽  
pp. 155868982110216
Author(s):  
Elisabeth L. Kutscher ◽  
Lionel C. Howard

A defining characteristic of mixed methods research, integration receives considerable attention in the field, yet evidence suggests that the process of integration may be challenging in practice. Crossover analyses, in which methods typically used with one data type are applied to a different data type, can deepen integration. Using an example from the field of education, this article demonstrates the iterative application of multiple correspondence analysis as a crossover analysis through a four-stage integration process. Contributions to the field of mixed methods include (a) the utility and potential of multiple correspondence analysis to surface new dimensions of integrated findings, (b) considerations for rigor in the application of crossover methods, and (c) considerations for making sense of diffractive or dynamic findings.


2019 ◽  
Vol 11 (3) ◽  
pp. 255-276 ◽  
Author(s):  
Carla Ginn ◽  
◽  
Karen Benzies ◽  
Leslie-Anne Keown ◽  
Shelley Raffin Bouchal ◽  
...  

2018 ◽  
Vol 10 (1) ◽  
pp. 283-295
Author(s):  
Katrin Niglas ◽  
◽  
Meril Ümarik ◽  
Maarja Tinn ◽  
Ivor Goodson ◽  
...  

2019 ◽  
Author(s):  
Tarun Khanna ◽  
Karim R. Lakhani ◽  
Shubhangi Bhadada ◽  
Nabil Khan ◽  
Saba Kohli Davé ◽  
...  

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