Mixed methods dissertation checklist


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Mixed methods research

R is a programming language for data analysis and graphics. In five sessions of four hours, the participants will learn the basics of R. This is a hands-on course with practical assignments. Delegates will be presented with statistical principles relevant to data analysis and data modelling, practical guidelines for the interpretation of results, and cautions on common missteps.

Mixed Methods: An Example

Principles and guidelines will be illustrated with numerous examples. Discussions of current problems presented by delegates will greatly enrich the experience. Introduction to a data analysis framework and to the concept of the Carrying Capacity of Data. Examples drawn from fields such as education, demography, engineering. They will also be exposed to some alternatives to classical statistical modelling strategies. In this hands-on one-week workshop, participants will have the opportunity to apply design thinking and visual thinking tools and methods to design their own career and life.


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Together with other PhD students, participants develop a constructive and effective approach to finding and designing their vocation at the University or elsewhere by developing new thinking patterns and working on future ideas. The workshop addresses challenges and questions such as:.

What is good work for me? How can I better integrate work into the rest of my life?

How can I design a meaningful future despite all my constraints? We start off with analysing what brought the participants where they are today through activating and reflective visual methods. This understanding will be the foundation for defining the current challenges of participants and ideate possible solutions using visual thinking and incorporating peer coaching.

The next stage, prototyping and testing, will support participants in turning their thoughts into action and will aggregate their efforts during the workshop. By the end of the workshop, participants will be able to apply their learning and ideas into real life. With this approach, participants can iteratively design their way forward to a more fulfilling and meaningful future. Further, we will not only apply the model and methods of design thinking but also and especially the mind-set of curiosity, radical collaboration and reframing problems.

It is essentially those dysfunctional beliefs that often prevent us from designing a future that is meaningful for us. Below is a brief overview of the dysfunctional beliefs and how to overcome them. Benefits for participants. Life design enables participants to strengthen their identity as academics or to build up a vocational identity outside academia By recognizing the wide range of sound career prospects, PhD students experience that asking themselves future career related questions can be fun. The entire group, the instructor and the life design teams act as resonating board and will ensure an atmosphere of appreciation, support and encouragement.

Part 1 provides a foundational platform key to improving our understanding of grounded theory methodology theory and application including:.

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The history of grounded theory methodology over time and across disciplines; The ethics of grounded theory research; Core components of grounded theory methodology including constant comparison, theoretical sampling, theoretical saturation, use of literature, etc. Part 2 focuses specifically on the hands-on practical application of grounded theory research and includes:. Upon completion of the course, students will be able to:.

Describe the origins, leading scholars and traditions of grounded theory research; Recognize important ethical issues in grounded theory research; Identify the core components of grounded theory methodology; Identify and distinguish among contemporary approaches to grounded theory including grounded theory ethnography and mixed methods-grounded theory; Design grounded theory research studies; Develop grounded theory data collection, analysis, and interpretation techniques; Describe how validity, reliability, and generalizability are addressed in grounded theory research; Write, evaluate, and publish grounded theory research studies.

This workshop also forms part of the Science Communication course 14 in week 2 of the Summer School. It is being offered as a stand-alone course due to its popularity. The course is specifically targeted at post graduate researchers who have to deliver presentations or talks at conferences, meetings and thesis defences. At the end of the course participants will be able to:. The following elements will be thus be discussed and practised in the workshop: Basic structure of grant proposal Why grant proposals fail The core components of a grant proposal Why writing style matters The budget Where to look for funding Explaining peer review panels.

Participants will understand the following:. Rate: R1 The participants need to be able to read and understand a scientific publication in their field. This course will explain the principles of effective communication, how to make and present a poster at a scientific meeting, how to analyse and write an IMRAD-structured scientific article, and how to give an oral presentation with slideshow. Finally, we will discuss how to answer questions and how to deal with nerves.

After completion of the course, the participants will have insight into: The principles of effective communication How to have an impact with a poster The principle of an elevator pitch The peer-review process in publishing The composition of an IMRAD-based manuscript How to write an IMRAD-based manuscript How to make an effective slideshow How to give an oral presentation with slideshow How to answer questions after a presentation. Course material. The course material are slides, which will be made available as handouts. Standard Rate: R8 Advanced Qualitative Research Design and Implementation is an interdisciplinary advanced course structured to benefit students seeking to improve their qualitative skills and hone their abilities to conduct research at the highest level.

Part 1 provides a concise overview of foundational knowledge underpinning the qualitative enterprise including: The history, ethics, and epistemological foundations of qualitative research; Key characteristics of qualitative methods; Differences between qualitative, quantitative, and mixed methods research; Underlying assumptions, procedures, challenges, and applications of several popular contemporary qualitative approaches.

Part 2 focuses on the systematic conduct of qualitative research including: Formulating qualitative purpose statements and research questions; Use of literature and sampling strategies in qualitative research; Data collection and analysis techniques; Validation strategies needed to achieve rigor and trustworthiness and evaluate and assess qualitative research studies. The course will concentrate around the following themes: Understanding the basics of active learning as a foundation for good academic teaching, Using digital tools for classroom-based active learning, Going fully online as teacher and learner, Blending classroom and online learning experiences into a meaningful integrated learning experience, Reflecting through action research on your own practice as a teacher in the digital world.

After completion of the course, the participants will be able to:. Describe the fundamentals of active- and blended learning and apply them into a classroom, a fully online and a blended learning environment; Search, assess and use up-to-date learning technologies in order to improve their own teaching; Design, develop and implement meaningful learning experiences in order to activate learners; Apply action research for reflection on their own practice as a teacher in the digital world.

This introductory course will teach participants when, how and why to integrate a qualitative and a quantitative research components into a single research project. Mixed methods research is an innovative and increasingly important way to conduct research in the social sciences. This research design integrates qualitative and quantitative components in a research study or very closely connected series of studies that inform one another.

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The course places special emphasis the markers of scientifically rigorous mixed methods research to achieve integration. This workshop will be practical and hands on. We step through the features of rigorous mixed methods research that you can immediately apply to your research proposal, project, or manuscripts underway. At the end of this workshop, delegates will understand the principles of mixed methods research be able to apply components of rigorous mixed methods studies, identify the possibilities and limitations of mixed methods research outline the basics of a mixed methods design with a design diagram appropriate for any specific purpose have a concrete plan for integration of qualitative and quantitative research draft a potential joint display to represent integration.

During this hands-on course, participants plan and write an article for publication in a scholarly journal. Participants work on material from their doctoral stud ies and it is essential for this workshop to have a draft manuscript to work on during your time with the ADA.

Online Certificate Program in Mixed Methods Research | University of Michigan School of Social Work

Minimal input is provided by the facilitator and participants then spend workshop time crafting their article with one-on-one discussion and feedback from facilitators during the writing process. You will learn to carry out your literature review in a more rigorous manner and to analyse qualitative data more effectively. Technical aspects of coding Methodological aspects of coding: how to build an efficient coding schema.

Participants should have a basic understanding of the process of research. This course will benefit delegates who want to learn more about quantitative research design and methods. The course will have a strong holistic and interdisciplinary focus and draw upon examples from the social and health sciences and education over time and across cultures.

Sharan B. There are no prerequisites, but previous knowledge about basic mathematical and statistical principles e. Experience in analysing data is an asset. Focus Disciplines. Advanced graduate students and statisticians interpreting quantitative data: Delegates' research projects will be discussed in class.

Cambridge: Cambridge University Press. Since that time, a variety of design thinking approaches have been applied to an ever-increasing range of challenges including life challenges.

This course at the ADA is using design thinking for creating a fulfilling and meaningful career and life. This course is relevant across all discplines. Saturday - Participants are encouraged to bring an idea or topic to the workshop they are interested in pursuing in more detail. The presenter will lead interactive discussions and facilitate small group exercises.

Participants are to participate in all course activities and discussions and help promote a collaborative learning environment. This course will benefit students interested in learning more about grounded theory methodology and those who are using it or intending to use it for their dissertation research or other research projects. The course will accommodate novice and more advanced grounded theorists as we move from theory to practice and incorporate numerous examples across disciplines and topic areas.

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mixed methods dissertation checklist Mixed methods dissertation checklist
mixed methods dissertation checklist Mixed methods dissertation checklist
mixed methods dissertation checklist Mixed methods dissertation checklist
mixed methods dissertation checklist Mixed methods dissertation checklist
mixed methods dissertation checklist Mixed methods dissertation checklist
mixed methods dissertation checklist Mixed methods dissertation checklist
mixed methods dissertation checklist Mixed methods dissertation checklist

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