Designing a PhD Proposal in Mixed Method Research

2022 ◽  
pp. 211-221
Author(s):  
Ndungi wa Mungai

This chapter reviews the challenges and advantages of writing a mixed method research (MMR) proposal. The argument put forward is that a mixed method approach overcomes the shortcomings of the commonly used qualitative and quantitative methods. A brief definition of a research proposal is followed by a discussion on the different interpretations of a mixed method and what makes mixed methods ideal in the proposal example that follows. A mixed method can be either one that utilizes qualitative and quantitative methods to different degrees or it can be regarded as a distinct method by itself. A mixed method is suitable where both different types of data can be collected, when the data adds value to what would be achieved using one approach and where cost also justifies it. A hypothetical case example where an application is being made to conduct an evaluation of an anti-truancy program is presented.

Author(s):  
Ndungi wa Mungai

This chapter reviews the challenges and advantages of writing a mixed method research (MMR) proposal. The argument put forward is that a mixed method approach overcomes the shortcomings of the commonly used qualitative and quantitative methods. A brief definition of a research proposal is followed by a discussion on the different interpretations of a mixed method and what makes mixed methods ideal in the proposal example that follows. A mixed method can be either one that utilizes qualitative and quantitative methods to different degrees or it can be regarded as a distinct method by itself. A mixed method is suitable where both different types of data can be collected, when the data adds value to what would be achieved using one approach and where cost also justifies it. A hypothetical case example where an application is being made to conduct an evaluation of an anti-truancy program is presented.


2019 ◽  
Vol 7 (5) ◽  
pp. 86 ◽  
Author(s):  
Birol Bulut ◽  
Süleyman Aslan

The feeling of empathy is as old as the humankind. Empathy is an attempt to perceive the emotions and to understand the thoughts of other individuals and discern their point of view. Due to such aspects, empathy presents “a focus on other individuals”. In general terms, empathy was defined as “adopting a sensitive attitude towards correctly understanding the emotions and thoughts of another individual, encountering any event, through placing oneself in the place of that individual during the process of communication.”The present study was intended to determine the effects of the communication and immigration subjects in the 7th grade social studies course on the empathy skills of students through employing the didactic approach, which is one of the techniques for empathy development.Concurrent nested (embedded) design, a mixed research method, was employed in the present study. Mixed-method research is defined as the approach through which the researcher draws conclusions by using the advantage of integrating qualitative and quantitative methods, approaches and concepts in a study or consecutive studies with the aim to understand diverse research models. The quantitative data in the present study were obtained via the “Index of Empathy for Children and Adolescents”, whereas the qualitative data were collected through interview forms.Almost all students emphasized the significance of empathy and understanding the feelings of the migrants for understanding the causes and consequences of immigration throughout the activities related to immigration.


2019 ◽  
Vol 11 (6) ◽  
pp. 1581 ◽  
Author(s):  
Volkan Kaya ◽  
Doris Elster

This study is based on a Delphi study on environmental literacy which is an important part of science education. The main goal is to clarify the framework, including concepts, contexts, and competencies of environmental literacy, and to reach consensus on this framework in accordance with expert opinions. This study used a mixed method research design, which included both qualitative and quantitative methods, to reveal expert opinions. The exploratory sequential design, one type of mixed method research, was used in this Delphi study and performed in three consecutive steps. The sample consisted of 45 experts who initially agreed to participate in this study, with 20 of the 45 participating in the first step Delphi. The numbers of participants in the second and third Delphi steps are 44 and 31, respectively. This study concluded there was a consensus about the definition, sub-dimensions, and competencies of environmental literacy and the institutions, social groups, and people responsible for the development of qualified environmentally-literate individuals. Additionally, there was agreement concerning what to do to support the development of environmental literacy, topics that should be included in the curriculum and textbooks, and teaching methods and extra-curriculum activities for the development of environmental literacy.


2020 ◽  
Vol 2 (1) ◽  
pp. 55
Author(s):  
Yan Zheng ◽  
Yongfeng Zhao

Despite the fact that threatening in languages is common in ordinary verbal communication, it has not received much attention from academic studies because of its “negative” nature. Muschalik’s monograph Threatening in English: A Mixed Method Approach, mainly based on the theory of Face Threatening Speech Act by Brown and Levinson (1987), takes 301 categories of threatening expressions in judicial proceedings as the corpus with qualitative and quantitative methods, brings a new perspective for pragmatic research, especially speech act research, and deepens people’s understanding of relevant issues. Initiated by Muschalik’s book Threatening in English: A Mixed Method Approach, the paper is to make a critical review on the studies of threatening in English and propose some new directions for the study of threatening in languages.


2021 ◽  
Vol 12 ◽  
Author(s):  
Kristian Moltke Martiny ◽  
Juan Toro ◽  
Simon Høffding

Despite a long history of researchers who combine phenomenology with qualitative or quantitative methods, there are only few examples of working with a phenomenological mixed method—a method where phenomenology informs both qualitative and quantitative data generation, analysis, and interpretation. Researchers have argued that in working with a phenomenological mixed method, there should be mutual constraint and enlightenment between the qualitative (first-person, subjective) and quantitative (third-person, objective) methods for studying consciousness. In this article, we discuss what a framework for phenomenological mixed methods could look like and we aim to provide guidance of how to work within such framework. We are inspired by resources coming from research in mixed methods and existing examples of phenomenological mixed-method research. We also present three cases of phenomenological mixed methods where we study complex social phenomena and discuss the process of how we conducted the studies. From both the research inspiration and our own studies, we depict the landscape of possibilities available for those interested in mixing phenomenology with qualitative and quantitative methods, as well as the challenges and common pitfalls that researchers face. To navigate in this landscape, we develop a three-fold structure, focusing on (1) the phenomenological frame, (2) the phenomenologically informed generation of qualitative and quantitative data (tier one), and (3) the phenomenologically informed analysis and interpretation of data (tier two).


2021 ◽  
Author(s):  
Ulrika Wänström Lindh ◽  
Annika K. Jägerbrand

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.


2010 ◽  
Vol 9 (2) ◽  
pp. 22-34
Author(s):  
PAV KALINOWSKI ◽  
JERRY LAI ◽  
FIONA FIDLER ◽  
GEOFF CUMMING

Our research in statistical cognition uses both qualitative and quantitative methods. A mixed method approach makes our research more comprehensive, and provides us with new directions, unexpected insights, and alternative explanations for previously established concepts. In this paper, we review four statistical cognition studies that used mixed methods and explain the contributions of both the quantitative and qualitative components. The four studies investigated concern statistical reporting practices in medical journals, an intervention aimed at improving psychologists’ interpretations of statistical tests, the extent to which interpretations improve when results are presented with confidence intervals (CIs) rather than p-values, and graduate students’ misconceptions about CIs. Finally, we discuss the concept of scientific rigour and outline guidelines for maintaining rigour that should apply equally to qualitative and quantitative research. First published November 2010 at Statistics Education Research Journal: Archives


Author(s):  
Sheila S. Thompson ◽  
Annemarie Vaccaro

The purpose of this chapter is to address epistemological and methodological approaches to assessing assessment. The authors’ intent is to show how moving beyond paradigm wars and using multiple methods makes for good assessment. The authors explore ways qualitative and quantitative methods are complementary, as opposed to competing concepts, arguing that these methodologies in collaboration provide a much richer form of higher education assessment. The chapter begins with a review of the literature on qualitative, quantitative, and mixed method designs, which includes an overview of the history and contemporary landscape of the qualitative-quantitative debate. The chapter also highlights successful examples of mixed-method assessment at a mid-sized, private university, presented in general frameworks which can be used on any campus. The chapter concludes with recommendations for practitioners and future trends.


2021 ◽  
Vol 10 (1) ◽  
pp. 1-4
Author(s):  
Johanna Seibt ◽  
Christina Vestergaard ◽  
Malene F. Damholdt

In this research note, we offer a comment on the “A Primer for Conducting Experiments in Human-robot Interaction,” by G. Hoffman and X. Zhao, suggesting that due to the complexity of human social reality quantitative methods should be integrated into a mixed method approach.


Author(s):  
Nuraisya Maisara Md Noor Aizuddin ◽  
Sabrinah Adam ◽  
Beni Widarman3

The study aimed to assess the effectiveness of entrepreneurship training towards the level of Bumiputera entrepreneurial performances in Johor. Action research was applied in the study and intervention plan was designed to examine the changes of Bumiputera entrepreneurial performances. The study used a mixed-method for data collection which consists of qualitative and quantitative methods. 4 respondents for the qualitative method and a number of 217 from a total population of 500 Bumiputera entrepreneurs will be used as respondents for the study. The data collected from the mixed-method will be analysed using Miles and Huberman Technique and SPSS version 25.


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