Academic literature on the topic 'Convergent mixed-methods design'
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Journal articles on the topic "Convergent mixed-methods design"
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Turner, Scott F., Laura B. Cardinal, and Richard M. Burton. "Research Design for Mixed Methods." Organizational Research Methods 20, no. 2 (July 8, 2016): 243–67. http://dx.doi.org/10.1177/1094428115610808.
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All methods individually are flawed, but these limitations can be mitigated through mixed methods research, which combines methodologies to provide better answers to our research questions. In this study, we develop a research design framework for mixed methods work that is based on the principles of triangulation. Core elements for the research design framework include theoretical purpose, i.e., theory development and/or theory testing; and methodological purpose, i.e., prioritizing generalizability, precision in control and measurement, and authenticity of context. From this foundation, we consider how the multiple methodologies are linked together to accomplish the theoretical purpose, focusing on three types of linking processes: convergent triangulation, holistic triangulation, and convergent and holistic triangulation. We then consider the implications of these linking processes for the theory at hand, taking into account the following theoretical attributes: generality/specificity, simplicity/complexity, and accuracy/inaccuracy. Based on this research design framework, we develop a roadmap that can serve as a design guide for organizational scholars conducting mixed methods research studies.
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Roy, Sunanda Siddhartha. "SIMPLIFYING THE COMPLEX MIXED METHODS DESIGNS." SCHOLARLY RESEARCH JOURNAL FOR HUMANITY SCIENCE AND ENGLISH LANGUAGE 9, no. 47 (October 1, 2021): 11631–37. http://dx.doi.org/10.21922/srjhsel.v9i47.7706.
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Research design is the technical aspect of a study which includes the planning of the research, visualising the data taking into consideration the problems that are associated in using the data in the study. There are three main research approaches, i.e., quantitative, qualitative and mixed methods. Mixed methods research involves combining or integration of quantitative and qualitative research procedures and data in a research study. The article illustrates the three main models of Mixed Methods Design i.e., Explanatory sequential, Exploratory sequential and Convergent mixed methods design. The main focus of the article is on Complex Mixed Methods Designs. Some of the designs are illustrated with figures for better understanding. A table to help investigators choose the appropriate mixed methods design is also provided. The Complex Mixed Methods designs involve more steps and procedures enabling them to fit in complex projects. Mixed methods research can produce a more complete knowledge as it includes both qualitative and quantitative approaches.
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Alwashmi, Meshari F., John Hawboldt, Erin Davis, and Michael D. Fetters. "The Iterative Convergent Design for Mobile Health Usability Testing: Mixed Methods Approach." JMIR mHealth and uHealth 7, no. 4 (April 26, 2019): e11656. http://dx.doi.org/10.2196/11656.
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Hatta, Taichi, Keiichi Narita, Kazuhiro Yanagihara, Hiroshi Ishiguro, Toshinori Murayama, and Masayuki Yokode. "Crossover Mixed Analysis in a Convergent Mixed Methods Design Used to Investigate Clinical Dialogues About Cancer Treatment in the Japanese Context." Journal of Mixed Methods Research 14, no. 1 (August 19, 2018): 84–109. http://dx.doi.org/10.1177/1558689818792793.
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The convergent mixed methods design is a common mixed methods research strategy; however, a challenge arises when data are collected concurrently but not analyzed completely independently due to overlapping research aims or certain styles of reasoning. The aims of this study were to (1) implement a crossover-tracks analysis in a convergent design wherein qualitative and quantitative strands were intertwined and informed each other and (2) examine a working hypothesis about the relationship between temporal change in clinical dialogues to examine the strength of patients’ motivation to participate in a clinical consultation. Using hypothetico-deductive method, the dynamic analytical approach shifted between inductive and deductive approaches. The qualitative and quantitative results were merged, and a joint-display depicted the relation for the final interpretation.
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Puhy, Chandler, Nalini Prakash, Clarissa Lacson, and Joke Bradt. "Multicultural teaching competence among undergraduate faculty: a convergent mixed methods study." Journal for Multicultural Education 15, no. 4 (November 4, 2021): 459–73. http://dx.doi.org/10.1108/jme-05-2021-0059.
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Purpose Increased student diversity in universities across the USA has increased the need for post-secondary educators to develop multicultural teaching competence (MTC). Most studies of MTC focus on educators teaching grades K-12. The purpose of this study is to determine how faculty members rate themselves in terms of MTC, what multicultural knowledge and skills faculty report and how they integrate these skills into their teaching practice and what barriers exist to developing and implementing MTC. The purpose of this study was to examine the factors that impact undergraduate faculty integration of multicultural awareness and attitudes into their teaching practices to enhance student learning. Design/methodology/approach A convergent mixed methods study used survey and interview data from undergraduate faculty. Select items from the MTC Inventory (MTCI) and social justice scales (SJS) were administered. Interviews (N = 7) were transcribed and analyzed using thematic analysis. Quantitative and qualitative data were compared to examine convergence and divergence. Findings Quantitative results revealed undergraduate faculty’s awareness, knowledge and skills as indicated by percent agreement with items from the MTCI and SJS instruments. Qualitative findings included the following four themes: knowledge building, addressing diversity in the classroom, barriers and challenges, and needs and recommendations. Qualitative data corroborated or explained many of the quantitative results and provided insight into these trends and barriers that impact MTC. Originality/value This is the first study of its kind, to our knowledge, that has used a mixed methods research design to examine factors that impact MTCs and associated barriers among a sample of undergraduate faculty across disciplines in one urban university.
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Moseholm, Ellen, and Michael D. Fetters. "Conceptual models to guide integration during analysis in convergent mixed methods studies." Methodological Innovations 10, no. 2 (July 2017): 205979911770311. http://dx.doi.org/10.1177/2059799117703118.
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Methodologists have offered general strategies for integration in mixed-methods studies through merging of quantitative and qualitative data. While these strategies provide researchers in the field general guidance on how to integrate data during mixed-methods analysis, a methodological typology detailing specific analytic frameworks has been lacking. The purpose of this article is to introduce a typology of analytical approaches for mixed-methods data integration in mixed-methods convergent studies. We distinguish three dimensions of data merging analytics: (1) the relational dimension, (2) the methodological dimension, and (3) the directional dimension. Five different frameworks for data merging relative to the methodological and directional dimension in convergent mixed-methods studies are described: (1) the explanatory unidirectional approach, (2) the exploratory unidirectional approach, (3) the simultaneous bidirectional approach, (4) the explanatory bidirectional approach, and (5) the exploratory bidirectional approach. Examples from empirical studies are used to illustrate each type. Researchers can use this typology to inform and articulate their analytical approach during the design, implementation, and reporting phases to convey clearly how an integrated approach to data merging occurred.
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Nzabonimpa, Jean Providence. "Quantitizing and qualitizing (im-)possibilities in mixed methods research." Methodological Innovations 11, no. 2 (May 2018): 205979911878902. http://dx.doi.org/10.1177/2059799118789021.
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Mixed methods research has gained momentum over the past decade, but critics rightly charge that the integration of qualitative and quantitative data remains an unresolved methodological issue. While each of the dualistic and canonized methodological paradigms has its own way of handling analysis, researchers in mixed methods as a new paradigm have invested considerable efforts in more complex mixed analysis. They use the quantitizing of qualitative data and qualitizing of quantitative data as the strategies to effect data integration in mixed methods research. While attempts have been made to achieve quantitizing and qualitizing of data, few empirical studies have been conducted in a two-phase convergent parallel mixed methods design to investigate such data conversion approaches, especially dichotomization, within a single inquiry. To contribute to this ongoing methodological quest, this article explores the possibilities and impossibilities offered by either strategy to convert narratives into numerical data and numerical data into narratives.
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Santos, Ana Paula Sousa. "Nursing students' errors in clinical learning. Qualitative outcomes in Mixed Methods Research." Revista Brasileira de Enfermagem 72, no. 1 (February 2019): 170–76. http://dx.doi.org/10.1590/0034-7167-2018-0592.
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ABSTRACT Objective: to analyze factors associated with nursing students' errors during clinical learning, and their perceptions regarding these events and the opportunity for learning and development provided by them. Method: Convergent Mixed Method design according Creswell and Clark. Qualitative dimension included face to face and internet interviews. Data analysis followed Miles and Huberman method. Results: Nursing student's errors were revealed according to their perceptions. They occurred in all phases of the nursing process and in transversal skills. Errors were acknowledged as learning and developmental opportunities. Final considerations: Students acknowledged their errors and ascribe to themselves reasons and what could have prevented what happened. Mixed Method was a very adequate design to study phenomena. Qualitative dimension was essential to reveal and achieve the objectives. Suggestions founded on the findings are presented.
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SARICAN, Elif. "Are the Learning Styles of Elementary School Students Related to Their Academic Success? A Study of Mixed Research Methods." International Journal of Psychology and Educational Studies 8, no. 4 (October 31, 2021): 110–24. http://dx.doi.org/10.52380/ijpes.2021.8.4.606.
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The aim of this study is to point out the relationship between learning styles and the academic. The purpose of this study is to show the relationship between learning styles and academic achievement of 4th grade elementary students. The study was designed according to the convergent parallel design, one of the mixed research designs in which quantitative and qualitative research methods are used together. While the quantitative and qualitative data are collected together in accordance with the convergent parallel design, the data analysis is presented separately in the results section. The study group of the research consists of 163 grade 4 primary school students, 74 girls (n=74) and 89 (n=89) boys, taught in a government primary school in Istanbul Turkey. To find out whether learning styles predict academic achievement, linear regression analysis was conducted. On the other hand, descriptive analysis and content analysis were used in the qualitative data analysis. In this study, it was found that learning styles predict academic achievement. It was also found that students tend to discover their own learning methods, and depending on which method they prefer, the academic area in which they succeed differs.
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Lamprecht, Christiaan, and Timothy C. Guetterman. "Mixed methods in accounting: a field based analysis." Meditari Accountancy Research 27, no. 6 (February 12, 2019): 921–38. http://dx.doi.org/10.1108/medar-11-2018-0403.
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Purpose This study aims to advance mixed methods as a research methodology in accounting through three research objectives: develop a typology of mixed methods research (MMR) features from current literature, analyse accounting papers published in two leading South African journals against these features, and offer recommendations for best practice going forward. Design/methodology/approach This paper follows five elements for a MMR review study: identify the methodological aim and choice of discipline; identify the relevant accounting MMR literature and collect the data; develop a codebook and analysis procedures to assess the reviewed papers against; report on the MMR findings; and discuss the findings and make recommendations. Findings The use of MMR as a methodological approach is increasing; however, in many instances published papers revealed limited methodological detail. Furthermore, most accounting MMR studies use a convergent MMR design, with data collected qualitatively using interviews/focus groups and quantitatively using questionnaires. Finally, accounting education studies is the topic within accounting research that mostly use MMR. Research limitations/implications The study is limited to a five-year period and the prevalence of applicable MMR articles during that period in two journals. Practical implications This paper presents advantages of using MMR in accounting studies and offer recommendations for best practice to answer the complex accounting research questions of today. Originality/value This study is the first systematic examination of how mixed methods is used in accountancy research as reflected in South African journals.
Dissertations / Theses on the topic "Convergent mixed-methods design"
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Hatta, Taichi. "Crossover Mixed Analysis in a Convergent Mixed Methods Design Used to Investigate Clinical Dialogues About Cancer Treatment in the Japanese Context." Kyoto University, 2019. http://hdl.handle.net/2433/236596.
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Ogunmakinde, Olabode Emmanuel. "Developing a circular-economy-based construction waste minimisation framework for Nigeria." Thesis, 2019. http://hdl.handle.net/1959.13/1407524.
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Research Doctorate - Doctor of Philosophy (PhD)The construction industry plays a significant role in developing and developed nation’s growth. It has been criticised as unsustainable because it impacts negatively on the environment and makes onerous demands on natural resources. Therefore researchers, policy makers, governments and non-governmental organisations have recognised the need to promote sustainable construction. Nigeria, one of Africa’s fastest-growing economies and the most populous, is endeavouring to implement sustainable practices. Its construction industry is viewed as lacking sustainable construction approaches such as waste management. The industry is heavily dependent on natural resources and its activities contribute to environmental degradation. A number of studies have identified high volumes of waste and this has highlighted the need for alternative approaches to the current traditional method of construction linked to the linear economy. The circular economy is a concept that integrates material repair, reduction, reuse, and recycling. Although the circular economy has not been applied in Nigeria, it has been adopted in the manufacturing, steel, and agricultural sectors in countries like China, Scotland, and Finland, while others are considering its adoption. The circular economy requires a holistic approach to be effectively and efficiently mainstreamed. Despite its advantages, there has been little investigation of its adoption for the Nigerian construction industry. The aim of this study is to develop a circular-economy-based construction material waste minimisation framework for Nigeria with a view to achieving sustainable construction. The objectives are, first, to identify types, causes, and methods of disposal for material waste. Second, to investigate the awareness, attitudes, and perceptions of Nigerian building construction firms to material waste minimisation. Third, to investigate current approaches to material waste minimisation at the design, procurement, and construction phases. Fourth, to investigate the extent to which the 3R principle has been adopted. Fifth, to identify policies or legislative measures and implementation methods for waste minimisation. Finally, to develop a circular-economy-based construction waste minimisation framework and investigate readiness for its adoption by Nigerian building construction firms. This study is founded on literature about construction waste management, the Nigerian construction industry, construction processes and phases as well as sustainable construction. The concept of the circular economy, including its origins, definitions, principles, characteristics, approaches, drivers, challenges, and benefits have been reviewed. The foundations of the circular economy and theoretical perspectives underpinning its integration have also been reviewed. This study has been viewed from a pragmatic philosophical stance that encourages the use of methods appropriate for the problem. A convergent parallel mixed methods approach was employed to obtain primary data from building construction firms in Lagos, Nigeria. Using a concurrent triangulation design, data obtained from a questionnaire survey were triangulated with data from semi-structured interviews and direct observation. Secondary data were collected via a traditional literature review. Quantitative data were analysed using SPSS. The tests conducted are the relative importance index analysis, factor analysis, Kruskal-Wallis test, and the Spearman’s rank correlation. Qualitative data were analysed through thematic analysis using NVivo 11 to identify key themes, relationships, coding, and sorting into categories. To ensure reliability and validity of the questionnaire data, a Cronbach’s Alpha test was conducted, with a result of 0.83 indicating good reliability and validity. A rigorous process, including a review of the research problem, design, and interview questions, as well as six rechecks of interview transcripts, ensured reliability and generalisability of the qualitative data. Findings suggest that concrete, timber products, and offcut tiles are the main types of waste generated in the Nigerian construction industry. The causes of these types of waste at the design, procurement, and construction phases are design changes, substandard materials, and quality of supervision, respectively. Nigerian building construction firms demonstrate a high level of awareness of the effects of material waste, while exhibiting positive attitudes to waste minimisation. However, their perceptions vary, although the majority perceived environmental protection as an important factor for waste minimisation. The relationships between the Nigerian building construction firms’ awareness, attitudes, and perceptions indicate that these are influenced by their perceptions. Furthermore, the study reveals that design for material optimisation is the design approach most frequently embraced to minimise waste, while design for reuse and recycling is the least frequently used. The most significant procurement approach adopted by the Nigerian building construction firms is to purchase durable materials. A factor analysis of procurement approaches was conducted, and two factors labelled “act green” and “buy green” were extracted. For construction approaches, stock control, effective team work, and avoiding excavation of unnecessary soil were identified as the most important processes, while factor analysis of construction approaches yielded three factors, namely: strategies, techniques, and operations. These approaches to waste minimisation differ among medium and large-scale construction companies. Additionally, the research has revealed reuse of formwork and scaffolding as the most significant approach of the 3Rs principle (reduce, reuse, and recycle). A factor analysis of the 3Rs approaches to waste minimisation yielded three factors, labelled “reduce”, “reuse”, and “recycle”. Site waste management planning is considered by Nigerian building construction firms as the most important policy to minimise waste. Two factors labelled “recommended” and “required” policies were extracted from the factor analysis of policies and regulations for ease of description and understanding. The key implementation methods are policy and education/training of the construction workforce. However, more than half of the firms surveyed do not have an organisational policy on waste minimisation, while 89.3% were keen to adopt a new waste minimisation method. Following these findings, a circular-economy-based construction waste minimisation framework was developed based on the diffusion of innovation theory. The framework consists of five sections, which are: identification of waste minimisation needs, assessment of existing minimisation measures, policy identification and formulation, identification of implementation methods, and evaluation of the proposed framework. This study has established a framework that can be used as a baseline for waste minimisation in the Nigerian construction industry while contributing to gaps identified in the body of knowledge. Adoption of the framework by Nigerian building construction firms and the Nigerian construction industry in general has the potential to reduce waste generated and landfilled. Recommendations are made for policy, training and education, changes in organisational culture and attitudes, best practices, and research and development. The study concludes by identifying future research areas.
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Nepivodová, Linda. "Vlastními slovy studentů a podle výsledků estů: Smíšený výzkum porovnávající dva způsoby adminisrace testů." Doctoral thesis, 2018. http://www.nusl.cz/ntk/nusl-375561.
Full textBooks on the topic "Convergent mixed-methods design"
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Soares, Célia, Carla Pereira, Carmen Caeiro, and Madalena Gomes da Silva. Health interventions for self-management: the role of qualitative approaches in mixed methods research. Ludomedia, 2022. http://dx.doi.org/10.36367/ntqr.11.2022.e548.
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The long-term success of health intervention programs for self-management is often compromised by the difficulties felt by participants to maintain adherence to prescribed behavioral changes. Mixed methods research can expand understanding and the insights of complex health research problems such as self-management in chronic conditions. The purpose of this paper is to share key contents of a symposium focusing on the application of mixed methods research in the context of person-centered education, held during the 6th World Conference on Qualitative Research. More specifically, it aims at: 1) exploring examples of implementing mixed methods research in health interventions for self-management of chronic conditions and other health risks; 2) promoting insights and knowledge on the ‘why and how of combinations’ in mixed methods studies; and 3) exploring the valuable role of qualitative strands in mixed methods in the wider context of health research. Three studies are explored as examples of application of mixed methods in self-management programs, considering the experiences of participants for changing self-care behaviors and challenges faced for maintaining such changes. Convergent and explanatory sequential designs have been used, combining questionnaires and semi-structured interviews for data collection. Data analysis included procedures such as thematic analysis and descriptive statistics (examples 1 and 3), and thematic analysis and descriptive/inferential statistics (example 2). Results show how mixed methods designs can contribute to develop self-management strategies, to be considered in planning future interventions, and to expand understanding about their impact as well. Likewise, these examples emphasize why mixed methods can bring added value both to process and results of health research. Thus, exploring the application of mixed methods into a wider context is of utmost importance since the complexity of health phenomena is growing and requires equally complex research designs to capture them.
Book chapters on the topic "Convergent mixed-methods design"
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Baran, Mette L. "Mixed Methods Research Design." In Advances in Library and Information Science, 26–52. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1025-4.ch002.
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This chapter introduces the various design choices researchers need to decide on prior to conducting the study. The chapter starts with a detailed description of what research design is, followed by an explanation of descriptive, explanatory, or exploratory research questions. This determines what type of data will be collected. The major strategic implementation methods for quantitative, qualitative, and mixed methods are then discussed. The three strategies for mixed methods research—parallel convergent, sequential, and embedded design—are presented in detail along with the rationale for their use. Finally, in the last section, the strands or sequencing of the data collection phase of the study are explained.
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Baran, Mette L. "Mixed Methods Research Design." In Research Anthology on Innovative Research Methodologies and Utilization Across Multiple Disciplines, 312–33. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-3881-7.ch017.
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This chapter introduces the various design choices researchers need to decide on prior to conducting the study. The chapter starts with a detailed description of what research design is, followed by an explanation of descriptive, explanatory, or exploratory research questions. This determines what type of data will be collected. The major strategic implementation methods for quantitative, qualitative, and mixed methods are then discussed. The three strategies for mixed methods research—parallel convergent, sequential, and embedded design—are presented in detail along with the rationale for their use. Finally, in the last section, the strands or sequencing of the data collection phase of the study are explained.
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Flynn, Stephen V., and Nicole V. Brady. "Mixed Methods Research: Convergent and Embedded Designs." In Research Design for the Behavioral Sciences. New York, NY: Springer Publishing Company, 2021. http://dx.doi.org/10.1891/9780826143853.0016.
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Mavodza, Judith. "Mixed Methods Research." In Handbook of Research on Mixed Methods Research in Information Science, 47–69. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-8844-4.ch003.
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This chapter seeks to investigate the use of convergent mixed methods design, explanatory mixed methods design, exploratory mixed methods design, embedded mixed method design, transformative mixed methods design, and multiphase mixed methods design in 61 mixed methods-based LIS doctoral dissertations and theses completed between 2006 and 2018, retrieved from the ProQuest Library Science Database. Their retrieval was achieved through search for the term “mixed methods” in the abstract, based on the assumption that each author mentions their research method in the abstract. The aim is to assess the effectiveness of mixed methods use, including advantages and possible challenges of each type. The premise for doing so is that the mixing of methods must be a deliberate, skillfully crafted, not a haphazardly concocted fusion.
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Baran, Mette L. "It is All in the Design." In Mixed Methods Research for Improved Scientific Study, 66–78. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0007-0.ch004.
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This chapter introduces the various design choices researchers need to decide on prior to conducting the study. In the first section of this chapter a detailed description of research design is followed by an explanation that the type of information that is collected is based on whether the research question is descriptive, explanatory, or exploratory. The major strategic implementation methods for quantitative, qualitative, and mixed methods are then discussed. The three strategies for mixed methods research Parallel Convergent, Sequential, and Embedded Design are presented in detail along with the rationale for their use. Finally, in the last section, the strands or sequencing of the data collection phase of the study is explained.
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Baran, Mette L. "It is All in the Design." In Cognitive Analytics, 24–36. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2460-2.ch003.
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This chapter introduces the various design choices researchers need to decide on prior to conducting the study. In the first section of this chapter a detailed description of research design is followed by an explanation that the type of information that is collected is based on whether the research question is descriptive, explanatory, or exploratory. The major strategic implementation methods for quantitative, qualitative, and mixed methods are then discussed. The three strategies for mixed methods research Parallel Convergent, Sequential, and Embedded Design are presented in detail along with the rationale for their use. Finally, in the last section, the strands or sequencing of the data collection phase of the study is explained.
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Mutsagondo, Samson. "Application of the Convergent Mixed Methods Research Design in the Study of Email Records Management in Zimbabwe's Central Government." In Handbook of Research on Mixed Methods Research in Information Science, 558–74. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-8844-4.ch026.
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Mixed methods research, the so called “third methodological movement,” has come as a great relief to scholars who do not subscribe to the polarised qualitative and quantitative research approaches alone. It has plugged the gap between the two approaches and has capitalised on the strengths of the two as well. In fact, it tells a complete story from both ends, thus adding and aiding comprehension and comprehensiveness at the same time. Many researchers have had difficulties in correctly using and applying the mixed methods research approach. Through use of the convergent mixed methods research design, the chapter helps to show why, how, and where quantitative and qualitative elements can be correctly and effectively mixed in pursuit of assessing email management strategies and the importance thereof in Zimbabwe's central government.
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Du, Xiaoxue, and Cynthia Breazeal. "Engage Teacher Leaders to Design Inclusive and Inquiry-Based Practices." In Advances in Early Childhood and K-12 Education, 93–113. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-5478-7.ch006.
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COVID-19 has presented new challenges for all teachers, especially teachers of students with special needs. Students have struggled with online learning environments with limited opportunities for social interaction and resources. The study investigated a co-design process to help teacher leaders to design inquiry-based learning with the integration of artificial intelligence (AI) technologies. The study utilized the convergent parallel mixed methods approach to analyze both qualitative and qualitative data to capture how teacher leaders introduced inquiry-based learning in the school community. The quantitative analysis revealed shifts in terms of teachers' ability to design inquiry-based projects that integrated AI. The qualitative analysis showed that the growth pattern of teacher leaders might be dependent upon (1) the usefulness of AI, (2) teachers' attitudes about the role of the teacher as a designer, and (3) perceived leadership support. The study provided a co-design process to engage teachers in designing inquiry-based projects during the pandemic times.
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Poor, Jasmin, and Lucas Vasconcelos. "Impact of Virtual Field Trips on Elementary Students' Interest in Science and STEM." In Advances in Educational Technologies and Instructional Design, 198–222. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-5920-1.ch011.
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The number of science, technology, engineering, and mathematics (STEM) jobs available in the United States will soon outnumber those qualified to fill them. Equally concerning is the decreasing number of students pursuing STEM careers. Standards-based virtual field trips (VFTs) are a promising strategy to support student interest in science and STEM fields, as well as meet the educational needs of teachers and students. VFTs provide students opportunities to connect with academic content in contextualized ways regardless of location and logistical restrictions. This convergent parallel mixed methods study investigated the impact of VFT programs on elementary students' interest in specific science domains and STEM fields. Findings showed a non-statistically significant increase in participants' interest in science domains and STEM. Further, findings suggest that prior interest and role-based scenarios promote an increase in science and STEM interest. Implications for research and practice are discussed in this chapter.
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Kim, Daesang, Daniel Ruecker, and Dong-Joong Kim. "Mobile Assisted Language Learning Experiences." In Computer-Assisted Language Learning, 1059–77. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7663-1.ch050.
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The purpose of this study was to investigate the benefits of learning with mobile technology for TESOL students and to explore their perceptions of learning with this type of technology. The study provided valuable insights on how students perceive and adapt to learning with mobile technology for effective learning experiences for both students and teachers. The authors conducted a convergent mixed methods design to achieve the research objectives. Three critical and practical recommendations for effective mobile learning experiences were scrutinized for design and implementation of Mobile Assisted Language Learning (MALL): effective instructional strategies, training or professional workshop development, and ongoing technical support and assistance.
Conference papers on the topic "Convergent mixed-methods design"
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Holder, Shannon. "How School Leaders Make Sense of Detracking: A Convergent Parallel Mixed-Methods Design." In 2020 AERA Annual Meeting. Washington DC: AERA, 2020. http://dx.doi.org/10.3102/1577958.
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Sulaiman, Ruba, Sara Ismail, Maguy ElHajj, Mujahed Shraim, Tanya Kane, and Alla El-Awaisi. "Exploring QU Health Students' Experiences of Burnout, Anxiety, and Empathy during the COVID-19 Pandemic: A Mixed Method Study." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2021. http://dx.doi.org/10.29117/quarfe.2021.0131.
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Background Students' mental health is a growing concern. COVID-19 pandemic resulted in academic and non-academic challenges which caused students' burnout, anxiety, and reduced empathy. Objectives The study objectives were to assess burnout amongst QU Health students, determine the relationship between burnout and anxiety, and burnout and empathy, and to determine the students coping strategies. Methods A convergent mixed-methods design was used: (1) a cross-sectional survey using validated instruments. Maslach Burnout Inventory-General Students Survey (MBI-GS(S)) to measure burnout, Generalized Anxiety Disorder 7-item Scale (GAD-7) to measure anxiety, and Interpersonal Reactivity Index (IRI) to measure empathy; (2) focus groups to get a deeper insight of the students' experiences and coping strategies. Descriptive and multivariate statistical analyses were used for the survey while the focus groups were analysed using deductive thematic analysis following the coping reserve model. Results 21.45% of students responded to the survey. Burnout was reported according to the subscales. MBI-Exhaustion (MBI-EX) subscale (mean= 4.07, SD= 1.56), MBI-Cynicism (MBI-CY) subscale (mean= 2.63, SD= 1.53), and MBI-Professional Efficacy (MBI-PE) subscale (mean= 3.97, SD= 1.22). MBI-EX and MBI-CY were associated with GAD-7 scores. MBI-EX and MBI-CY were associated with IRI-Empathic Concern (IRI-EC) and IRI-Personal Distress (IRI-PD) while MBI-PE was associated with IRI-Perspective Talking (IRI-PT) and IRI-EC. The students used many coping strategies to build resilience. Conclusion QU Health students experienced burnout during the spring 2020 semester. Many burnout causes and coping strategies were identified. It is suggested for QU to start mentorship programs and mental health initiatives to promote students' resilience.
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Chaw, Ei Phyu, and Erika Kopp. "Student-teachers' Experiences During Practicum in Pre-service Teacher Education in Myanmar." In ATEE 2020 - Winter Conference. Teacher Education for Promoting Well-Being in School. LUMEN Publishing, 2021. http://dx.doi.org/10.18662/lumproc/atee2020/08.
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Teacher education program differs internationally in accordance with the admission, assessment, teaching practice period, induction program, professional learning, initial teacher learning, continuous professional development, and performance appraisal systems for recognizing accredited teaching. Experts in teacher education recommends that the practicum is the focus and an integral part of initial teacher education program. In most countries, teacher education programs face difficulties in finding the proper role and form of practice. Referring to National Education Strategic Plan (2016-21) of Myanmar, practicum in teacher preparation program is dull and it has limited guidance and supervision. Moreover, very few publications are available in Myanmar that label the perceptions of teacher candidate on their practicum experience. This study explores student-teachers' experience during practicum in their pre-service teacher education program. The doctoral research will focus on the role of practicum in pre-service teacher education in Myanmar. This document describes the results of the pilot study conducted in 2019, July. The researcher employed convergent mixed-method design to collect data for the pilot study. Data collection methods include semi-structured focus group interviews and questionnaires. The final year student-teachers (N=23) who were enrolled in 2014 academic year at the Yangon University of Education are the subject of the study. The questionnaire consists of 27 closed items. Fourteen final-year student-teachers discussed their practicum experiences in two focus group interviews. Student-teachers' responses to the questionnaire are mostly positive. In the focus group interview, they mentioned their critical point of views such as their university program could prepare them to some extent for their practicum. There were some differences in responses to the questionnaire and focus group interviews. From the results of the quantitative and qualitative part, the researcher could learn some potential problem areas that can affect the whole doctoral research.
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Ogot, Madara, and Sherif Aly. "Discretizing Continuous Problems for Faster Global Convergence." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/dac-48798.
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Global optimization of mechanical design problems using heuristic methods such as Simulated annealing (SA) and genetic algorithms (GAs) have been able to find global or near-global minima where prior methods have failed. The use of these nongradient based methods allow the broad efficient exploration of multimodal design spaces that could be continuous, discrete or mixed. From a survey of articles in the ASME Journal of Mechanical Design over the last 10 years, we have observed that researchers will typically run these algorithms in continuous mode for problems that contain continuous design variables. What we suggest in this paper is that computational efficiencies can be significantly increased by discretizing all continuous variables, perform a global optimization on the discretized design space, and then conduct a local search in the continuous space from the global minimum discrete state. The level of discretization will depend on the complexity of the problem, and becomes an additional parameter that needs to be tuned. The rational behind this assertion is presented, along with results from four test problems.
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Michalek, Jeremy J., and Panos Y. Papalambros. "BB-ATC: Analytical Target Cascading Using Branch and Bound for Mixed-Integer Nonlinear Programming." In ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99040.
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The analytical target cascading (ATC) methodology for optimizing hierarchical systems has demonstrated convergence properties for continuous, convex formulations. However, many practical problems involve both continuous and discrete design variables, resulting in mixed integer nonlinear programming (MINLP) formulations. While current ATC methods have been used to solve such MINLP formulations in practice, convergence properties have yet to be formally addressed, and optimality is uncertain. This paper describes properties of ATC for working with MINLP formulations and poses a solution method applying branch and bound as an outer loop to the ATC hierarchy in order to generate optimal solutions. The approach is practical for large hierarchically decomposed problems with relatively few discrete variables.
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Guirguis, David, David A. Romero, and Cristina H. Amon. "Efficient Wind Turbine Micrositing in Large-Scale Wind Farms." In ASME 2016 10th International Conference on Energy Sustainability collocated with the ASME 2016 Power Conference and the ASME 2016 14th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/es2016-59594.
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As wind energy is established as a sustainable alternative source of electricity, very large-scale wind farms with hundreds of turbines are becoming increasingly common. For the optimal design of wind farm layouts, the number of decision variables is at least twice the number of turbines (e.g., the Cartesian coordinates of each turbine). As the number of turbines increases, the computational cost incurred by the optimization solver to converge to a satisfactory solution increases as well. This issue represents a serious limitation in the computer-aided design of large wind farms. Moreover, the wind farm domains are typically highly constrained including land-availability and proximity constraints. These non-linear constraints increase the complexity of the optimization problem and decrease the likelihood of obtaining even a feasible solution. Several approaches have been proposed for micrositing of wind turbines, including random searches, mixed-integer programs, and metaheuristics. Each of these methods has its own trade-off between the quality of optimized layouts and the computational cost of obtaining the solution. In this paper, we demonstrate the capability of non-linear mathematical programming for optimizing very large-scale wind farms by leveraging explicit, analytical derivatives for the objective and constraint functions, thus overcoming the aforementioned limitations while also providing convergence and local optimality guarantees. For that purpose, two large farms with hundreds of turbines and significant land-use constraints are solved on a standard personal computer.
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Wänström Lindh, Ulrika, and Annika K. Jägerbrand. "IMPACT OF QUALITATIVE AND QUANTITATIVE METHODS ON THE EVALUATION OF STREET LIGHTING UNIFORMITY." In CIE 2021 Conference. International Commission on Illumination, CIE, 2021. http://dx.doi.org/10.25039/x48.2021.op53.
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Uniformity of lighting for pedestrians is often assumed to have been achieved in mixed traffic environments when the lighting uniformity requirements for vehicular traffic have been fulfilled. Uniformity of lighting for drivers is commonly evaluated based on quan-titative data on parameters such as overall luminance uniformity. However, methods for evaluating uniformity from the perspective of other road users are currently somewhat lacking. This study discusses qualitative and quantitative methods of assessing street lighting uniformity, and the potential implications for lighting design and the road us-ers. We used convergence design and imbedded design based on two field studies. The research purpose is twofold: first, to study if, and how, measured lighting uni-formity corresponds with visual perception. Secondly, to identify and explain the addi-tional value that a combined method approach can contribute. The study considers ex-amples of when the measured uniformity corresponds to visually perceived uniformity and when they do not correspond.
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Ghenaiet, Adel, and Nouredine Djeghri. "Computation of the Flow Field of Transonic Axial Compressor by Steady Arbitrary Lagrangian Eulerian Formulation." In ASME Turbo Expo 2008: Power for Land, Sea, and Air. ASMEDC, 2008. http://dx.doi.org/10.1115/gt2008-50339.
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This paper presents a multi-block solver dealing with an inviscid three dimensional compressible flow through a transonic compressor blading. For efficient computations of the 3D time dependant Euler equations, this solver that we have developed has been cast within a stationary ALE ‘Arbitrary Lagrangian Eulerian’. The main contribution of this paper is by consolidating this ALE formulation, to alleviate the shortcomings linked to rotation effects and the mixed relative subsonic–supersonic inlet flow conditions, which are now simply implemented through an absolute subsonic flow velocity. The finite volume based solver is using the central differencing scheme known as JST (Jameson-Schmidt-Turkel). The explicit multistage Runge-Kutta algorithm is used as a pseudo time marching to the steady-state, coupled with two convergence accelerating techniques; the variable local time-stepping and the implicit residual smoothing procedure. The adaptive implicit residual smoothing has extended the stability range of this explicit scheme, and proved to be successful in accelerating the rate of convergence. This code is currently being extended to include viscous effects, where fluxes are discretized based on Green’s theorem. To support this solver, an H type grid generator based on algebraic and elliptic methods has been developed. The segmentation of the complete domain into smaller blocks has provided full topological and geometrical flexibilities. The code was used to compute the flow field of a transonic axial compressor NASA rotor 37, and comparisons between the calculations and some available experimental data under the design speed and part speed, show qualitatively good agreement.
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Mehraban, Arash, Jed Brown, Valeria Barra, Henry Tufo, Jeremy Thompson, and Richard Regueiro. "Efficient Residual and Matrix-Free Jacobian Evaluation for Three-Dimensional Tri-Quadratic Hexahedral Finite Elements With Nearly-Incompressible Neo-Hookean Hyperelasticity Applied to Soft Materials on Unstructured Meshes in Parallel, With PETSc and libCEED." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-24522.
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Abstract Soft materials such as rubber, elastomers, and soft biological tissues mechanically deform at large strain isochorically for all time, or during their initial transient (when a pore fluid, typically incompressible such as water, does not have time to flow out of the deforming polymer or soft tissue porous skeleton). Simulating these large isochoric deformations computationally, such as with the Finite Element Method (FEM), requires higher order (typically quadratic) interpolation functions and/or enhancements through hybrid/mixed methods to maintain stability. Lower order (linear) finite elements with hybrid/mixed formulation may not perform stably for all mechanical loading scenarios involving large isochoric deformations, whereas quadratic finite elements with or without hybrid/mixed formulation typically perform stably, especially when large bending or folding deformations are being simulated. For topology-optimization design of soft robotics, for instance, the FEM solid mechanics solver must run efficiently and stably. Stability is ensured by the higher order finite element formulation (with possible enhancement), but efficiency for higher order FEM remains a challenge. Thus, this paper addresses efficiency from the perspective of computer science algorithms and programming. The proposed efficient algorithm utilizes the Portable, Extensible Toolkit for Scientific Computation (PETSc), along with the libCEED library for efficient compiler optimized tensor-product-basis computation to demonstrate an efficient nonlinear solution algorithm. For preconditioning, a scalable p-multigrid method is presented whereby a hierarchy of levels is constructed. In contrast to classical geometric multigrid, also known as h-multigrid, each level in p-multigrid is related to a different approximation polynomial order, p, instead of the element size, h. A Chebyshev polynomial smoother is used on each multigrid level. Algebraic MultiGrid (AMG) is then applied to the assembled Q1 (linear) coarse mesh on the nodes of the quadratic Q2 (quadratic) mesh. This allows low storage that can be efficiently used to accelerate the convergence to solution. For a Neo-Hookean hyperelastic problem, we examine a residual and matrix-free Jacobian formulation of a tri-quadratic hexahedral finite element with enhancement. Efficiency estimates on AVX-2 architecture based on CPU time are provided as a comparison to similar simulation (and mesh) of isochoric large deformation hyperelasticity as applied to soft materials conducted with the commercially-available FEM software program ABAQUS. The particular problem in consideration is the simulation of an assistive device in the form of finger-bending in 3D.
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Deng, Xin, Cori Watson, Minhui He, Houston Wood, and Roger Fittro. "Comparison of Experimental, Thermoelastohydrodynamic (TEHD) and Isothermal, Non-Deforming Computational Fluid Dynamics (CFD) Results for Thrust Bearings." In ASME 2018 5th Joint US-European Fluids Engineering Division Summer Meeting. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/fedsm2018-83177.
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Bearings are machine elements that allow components to move with respect to each other. A thrust bearing is a particular type of rotary bearing permitting rotation between parts but designed to support a predominately axial load. Oil-lubricated bearings are widely used in high speed rotating machines such as those found in the aerospace and automotive industries. With the increase of velocity, the lubrication regime will go through boundary lubrication, mixed lubrication, and hydrodynamic lubrication (full film). In this paper, the analysis was in the hydrodynamic lubrication region. THRUST is used to predict the steady-state operating characteristics of oil-lubricated thrust bearings. As a thermoelastohydrodynamic prediction tool, THRUST assumes a 3D turbulence model, 3D energy equation, and 2D Reynolds equation. Turbulence is included by obtaining average values of eddy momentum flux (Reynolds stress) and averaging the influence down to a 2D Reynolds equation. Convergence is achieved by iterating on the pad tilt angles and pivot film thickness until the integrated pressure matches the load applied to the pad. Despite the multiple experimental, CFD, and TEHD studies of thrust bearings that have been performed to date, no validation has yet been performed to confirm the accuracy of TEHD methods in modeling the performance of thrust bearings by both experimental and advanced computational means simultaneously. This study addresses this need by comparing TEHD and CFD simulation results of film thickness, temperature, power loss, and pressure in thrust bearings taken from the literature at multiple speeds and loads with results from experimental data. Starting from the case of the lowest speed and load, it was verified that this case is indeed laminar and with negligible thermal and elastic effects. Four cases were run in THRUST, a TEHD solver, combining thermal and deformation in each rotational speed and load combination. Additionally, a CFD study was performed in ANSYS CFX with the assumptions of isothermal, non-deforming. The average viscosity from THRUST was used in CFD to follow the effects of the isoviscous assumption. Then, the experimental, TEHD and CFD results were compared at each case. Experimental, TEHD, and CFD results show acceptable agreement when turbulence is negligible.
Reports on the topic "Convergent mixed-methods design"
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Siercke, Maj, Sanne Pagh Moller, Lau Caspar Thygesen, Henrik Sillesen, and Dorthe Overgaard. Improving Rehabilitation for Patients with Intermittent Claudication: A Randomized Controlled Trial with a Mixed-Methods Evaluation (The CIPIC Rehab Study). Science Repository, October 2021. http://dx.doi.org/10.31487/j.jicoa.2021.04.01.sup.
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Aim: This study aimed to explore how qualitative data about rehabilitation for patients with intermittent claudication do provide an enhanced understanding of the quantitative experimental results. Background: The study was a randomized clinical trial comparing a rehabilitation intervention with usual care. A statistically significant difference between rehabilitation and usual care was found in walking distance, physical activity, quality of life and diet. The findings from the quantitative and qualitative analyses were analysed separately on their own tradition. In this study, mixed methods address whether the qualitative results could help explain the quantitative results and bring forward additional information. Design: Complex mixed-method intervention design with a convergent questionnaire variant. Methods: From April 2017- May 2019, patients diagnosed with intermittent claudication were included in a randomized clinical trial (N=118). In addition, qualitative interview informants from the intervention group were sampled from the quantitative study population for a survey (N=43) and focus group interviews (N=10). Interviews were conducted from April 2018-August 2019. Results: Integrated analyses identified how improvement in walking distance, physical activity, diet and quality of life was affected by team spirit, pedometer, education and fun exercise in a local setting. Quantitative and qualitative findings primarily confirmed and expanded each other; however, two discordant results were also evident. Conclusion: Our study adds empirical evidence regarding how a mixed-methods study can be used to obtain a more nuanced understanding of complex healthcare problems. The study provides new knowledge concerning how to set up a rehabilitation programme for patients with intermittent claudication.