Emergent Data Analysis Techniques in Mixed Methods Research: A Synthesis

Author(s):  
Anthony J. Onwuegbuzie ◽  
Julie P. Combs
Author(s):  
Anthony Onwuegbuzie ◽  
Nancy Leech

The purpose of this paper is to discuss the development of research questions in mixed methods studies. First, we discuss the ways that the goal of the study, the research objective(s), and the research purpose shape the formation of research questions. Second, we compare and contrast quantitative research questions and qualitative research questions. Third, we describe how to write mixed methods research questions, which we define as questions that embed quantitative and qualitative research questions. Finally, we provide a framework for linking research questions to mixed methods data analysis techniques. A major goal of our framework is to illustrate that the development of research questions and data analysis procedures in mixed method studies should occur logically and sequentially.


2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Lori Fogus Gooding

An Introduction to Music Therapy Research, edited by Barbara Wheeler and Kathleen Murphy, is a 20-chapter that provides overview of how research has been conceived and implemented in music therapy. The text is geared to those beginning their studies in music therapy and as such address all stages of research, beginning with foundational aspects like selection of a topic before moving to a more detailed presentation of specific research components like data analysis and interpretation of results. Objectivist (qualitative) and interpretivist (quantitative research) theoretical perspectives, methodologies, and methods are included in the book, as well as information on mixed methods research and important historical, ethical, and multicultural considerations.


This chapter presents the methodological and conceptual approach, which informed the research design for the study. It is pertinent to reiterate here that the design of this study sought to discern the positive psychological forces that shape subjective wellbeing of informal caregivers. This desire prompted the adoption of a mixed methods research. The rationale for this methodological preference is presented. In addition, advantages of mixed methods approach are elaborated upon. Furthermore, other issues are addressed, including sample size, instrumentation, and research procedures. This chapter also explains, with much detail, the parameters and boundary conditions that constituted the guiding assumptions, limitations, as well as delimitations of the study. It should be noted that the chapter also explains the essential approach to data analysis.


2019 ◽  
Vol 14 (4) ◽  
pp. 522-544
Author(s):  
Jörg Stolz ◽  
Anaïd Lindemann

Despite tremendous interest in social games and game studies, the potential of game heuristics for the field of mixed methods remains unknown. This article introduces game heuristics to mixed methods research, showing how it was used in a specific study on the survival probabilities on the Titanic. Specifically, we describe how game heuristics was used to create the explanandum, code and interpret the qualitative material, and set up and interpret the quantitative model. Furthermore, we show and explicate how game heuristics was used to construct seven types of meta-inferences. The Titanic data set is especially interesting, since it is routinely used for statistical mono-method teaching; however, it can be shown that a mixed methods approach leads to a better explanation.


10.18060/1858 ◽  
2013 ◽  
Vol 14 (2) ◽  
pp. 307-333 ◽  
Author(s):  
Josphine Chaumba

The complexity of social problems addressed by the social work profession makes mixed methods research an essential tool. This literature review examined common quantitative and qualitative techniques used by social work researchers and what mixed methods research may add to social work research. Surveys and in-depth interviews were the most common quantitative and qualitative data collection methods, respectively. The t-test was the most frequently used quantitative data analysis method. Although thematic analysis was the most common qualitative data analysis method, 12% of the qualitative data analysis techniques were not specified. Mixed methods research adds three important elements to social work research: voices of participants, comprehensive analyses of phenomena, and enhanced validity of findings. For these reasons, the teaching and use of mixed methods research remain integral to social work.


Author(s):  
Pisit Potjanajaruwit

The objective of the research titled ‘Innovation and Technology of Small and Medium Enterprises (SMEs) in Coconut Sugar Business in Thailand 4.0’ is to study the level of innovation and technology of Small and Medium Enterprises (SMEs) in the coconut sugar business in Samut Songkhram Province. This research is the Mixed Methods Research and the populations of this research consisted of entrepreneurs and executives as well as those who engage in the development of innovation and technology of Small and Medium Enterprises (SMEs) in the coconut sugar business in Samut Songkhram Province.The results showed that SMEs’ innovation and technology consisted of 3components including Innovation and Technology in Learning, Innovation and Technology in Communication and Innovation and Technology in Operational Support. Innovation and Technology in Communication was ranked as No. 1with the highest Mean, it was found that there are 3 areas of innovation and technology to be studied, including Innovation and Technology in Learning, Innovation and Technology in Communication and Innovation and Technology in Operational Support. Based on the data analysis for the rating scale on the innovation and technology, it was found that the rating scale on communication was ranked as No. 1 with the highest Mean (x̄= 4.40S.D. = 0.43), No. 2 was the innovation and technology in learning with the highest Mean (x̄= 4.38 S.D. = 0.44) and No. 3 was the innovation and technology on operational support with the highest Mean (x̄= 4.33 S.D. = .047). All variables are statistically significant influences.


2018 ◽  
Vol 6 (3) ◽  
pp. 345-356 ◽  
Author(s):  
Rani Rani ◽  
Choirun Niswah ◽  
Riza Agustiani

AbstrakAktivitas belajar diartikan sebagai suatu kegiatan yang dilakukan oleh siswa dalam pelaksanaan proses pembelajaran. Aktivitas siswa sangatlah diperlukan dalam proses pembelajaran. Tujuan penelitian ini adalah untuk melihat melihat aktivitas belajar siswa pada pembelajaran matematika setelah diterapkan metode Two Stay Two Stray (TS-TS) di SMP Negeri 19 Palembang. Untuk mengetahui tujuan penelitian, maka yang digunakan dalam penelitian ini adalah Mixed Methods Research. Hasil penelitian ini diambil dari data observasi aktivitas siswa pada setiap pertemuan, wawancara kepada sampel terpilih, dan dokumentasi, kemudian dapat disimpulkan bahwa: setelah diterapkan metode Two Stay Two Stray (TS-TS) dalam pembelajaran matematika di SMP Negeri 19 Palembang, aktivitas belajar siswa termasuk dalam kategori aktif dengan rata-rata 75, dimana 12 orang siswa berada pada kategori sangat aktif, 7 orang siswa berada pada kategori aktif, 8 orang siswa berada pada kategori cukup aktif, 3 orang siswa berada ada kategori kurang aktif, dan 1 orang siswa berada pada kategori sangat kurang aktif.Kata Kunci: aktivitas belajar, metode Two Stay Two Stray (TS-TS).AbstractLearning activity is defined as an activity undertaken by students in the implementation of the learning process. Student activity is very necessary in the learning process. The purpose of this study is to observe the student learning activities in the study of mathematics after applied Two Stay Two Stray (TS-TS) method in SMP Negeri 19 Palembang. This research is a Mixed Methods Research. The data of this study is observational data of student activity at each meeting, interview data of the selected sample, and documentation. From the data analysis, it can be concluded that after applied the Two Stay Two Stray (TS-TS) method in mathematics instructions at SMP Negeri 19 Palembang, student learning activities included in the category of active with an average of 75: 12 very active students, 7 active students, 8 sufficient students, 3 less active students, and 1 very less active student.Keyword: learning activities, methods Two Stay Two Stray (TS-TS).


Author(s):  
Anastacia Mamabolo ◽  
Kerrin Myres

Mixed‑methods research designs are increasingly popular, especially in the management domain because they hold the potential to offset the weaknesses inherent in mono‑method, qualitative or quantitative designs. In entrepreneurship research, the domain in which this study is located, mixed‑method studies are conducted mostly according to a sequential‑exploratory design with an aim of developing and validating theory in a single research study. In some studies, the qualitative phase is used to develop a questionnaire, which is more common. However, the actual process of converting qualitative data into operationalised constructs and survey items is usually not clearly articulated. This creates an opportunity to contribute to a better understanding of the process of transitioning from a qualitative to a quantitative study. This paper proposes such an approach, using an example of a study of the skills entrepreneurs use to start and run their businesses. In the qualitative phase, interviews were conducted with 20 entrepreneurs and 6 national experts to discover the skills required by entrepreneurs to start and manage their businesses. Data analysis, using computer assisted qualitative data analysis software, resulted in nine groups of skills considered important in performing entrepreneurial activities. Based on qualitative analysis, the study provides a detailed account of the process of converting qualitative data into a quantitative survey questionnaire, which will enhance the effectiveness of mixed‑methods designs. The developed entrepreneurial skills questionnaire was tested and validated on a sample of 235 entrepreneurs. The article concludes with implications for mixed‑methods researchers who want to develop new instruments, and scholars conducting research on entrepreneurial skills.


2018 ◽  
Vol 13 (4) ◽  
pp. 536-554 ◽  
Author(s):  
Susanne Vogl

The challenge in data analysis often lies in accounting for the multidimensionality and complexity of the data while simultaneously discovering patterns. Integrating and consolidating different types of data during analysis can broaden the perspective and permit obtaining complementary views. This methodological research study on data collection illustrates how one type of data collection generates different types of data, which can be linked and consolidated to reach a better understanding of the topic. Procedures and practicalities are illustrated to offer a good practice example for data integration and consolidation. With the methodological reflection of research practice, I evaluate the consequences for the field of mixed methods research, in which the practicalities of an integrated mixed analysis still need to be elaborated.


2017 ◽  
Vol 9 (3) ◽  
pp. 166
Author(s):  
Mei Lan Chan

Mixed methods research is becoming an important methodology for the investigation of various topics in applied linguistics. However, data integration remains a challenge for mixed methods researchers and thus needs further development. This study discusses the integrative data analysis strategies used in an embedded mixed methods study in applied linguistics, illustrated through two phases of the study, and the way in which the adoption of a pragmatic approach explicitly aids data integration by abductive reflection on the knowledge acquired. This study investigated the language learning strategies used by English as a Foreign Language nursing students in higher education in Macao, and the effectiveness of the students’ learning outcomes as a result of strategy instruction. Six integrative data analysis strategies are discussed, and the explicit pragmatic approach that guided the exploratory sequential design sheds further light on the integrative data analysis.


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