How to embed a conceptual or theoretical framework into a dissertation study design

2020 ◽  
Vol 28 (3) ◽  
pp. 24-29
Author(s):  
Joan Lynch ◽  
Lucie M Ramjan ◽  
Paul J Glew ◽  
Yenna Salamonson
2011 ◽  
Vol 2 (4) ◽  
pp. 301-312 ◽  
Author(s):  
BongKyoo Choi ◽  
Peter Schnall ◽  
Marnie Dobson ◽  
Leslie Israel ◽  
Paul Landsbergis ◽  
...  

2021 ◽  
Vol 5 (S3) ◽  
pp. 1678-1691
Author(s):  
Febrika Dwi Lestari ◽  
Rina Octavia Simarmata ◽  
Nurhayati Sitorus ◽  
Usman Sidabutar

COVID-19 Street banner is one of various ways and medias used for communicating and informing about the virus that contain of whether invitation, prohibition, or strategies to reduce the spread of Corona virus outbreak to society. Based on an interdisciplinary theoretical framework, this study revealed to the genaral understanding of the COVID-19 banners and how this media contribute to the overcoming of the pandemic spreading. In order to examine and explain the interpretations and influences of this media associated with the awareness and information on how to reduce the COVID-19 outbreak through the images and verbal signs of the banner, this present work analyzed COVID-19 street banner that circulated on the street and building around Medan to Binjai about COVID-19. The study employed the theories of social semiotics by using Barthes theory with descriptive visual study design approach to reveal the code and message of the banner. The result showed that those banners conveyed the similar message that doing the heath protocols are able to reduce the spreading of the virus and they have special effect on society. Government ministry and various organizations worked together to educate and encourage society about COVID-19 through street banners as their communicative strategy.


Author(s):  
Muhamad Fadzllah Zaini ◽  
◽  
Anida Saruddin ◽  
Mazura Mastura Muhammad ◽  
Siti Saniah Abu Bakar ◽  
...  

Scholars of architecture have at times recorded sense of smell metaphors in the site selection processes of Malay houses. This has been described in several manuscripts within discourses of Tips of Building a Home (Petua Membina Rumah). This paper analyses smell metaphors using the Conceptual Metaphor Theory (CMT). The theoretical framework is based on a corpus, which generates three sets of manuscript data, namely MSS741, MSS1521 and Tajul Muluk, to access the Keyword In Context (KWIC) of bau (smell) and baunya (its smell). This paper uses a qualitative study design around a Malay manuscript. Three main findings emerged from this paper. First, the existence of the metaphor of ‘smell’ contained in the Malay manuscripts was evident. Secondly, the conceptual metaphor was formed according to domain structures such as smell, sound, touch, taste, vision and spirituality. Third, the metaphor of ‘smell’ aligns with feeling, which suggests that humans can use the tongue to sense odours. This study thus becomes significant in explaining the ways in which the concept of smell is linguistically coded in the Malay language and attempts to present elements of Malay wisdom based on the ‘smell’ metaphors.


Author(s):  
Kai Kuang ◽  
Steven R Wilson

Abstract The theory of motivated information management ([TMIM]; Afifi & Weiner, 2004) was proposed to explicate the processes through which uncertainty motivates information management. Over the past 15 years, the theory has been tested and applied to a wide range of topics and contexts. The current study meta-analyzes 33 studies from 31 articles that have empirically tested predictions from TMIM. Potential moderating effects of age, issue importance, and study design were also examined. Results, in general, provide support for bivariate associations proposed by TMIM, although these associations are heterogeneous and moderated by the average age of the sample and study design. A path model testing TMIM associations found good model fit after some modifications. Findings highlight the utility of TMIM as a theoretical framework (e.g., proposed paths operate as predicted), but also suggest changes that might better explain the range of ways in which uncertainty motivates information management.


2012 ◽  
Vol 15 (2) ◽  
pp. 71-77 ◽  
Author(s):  
Kyle R. Allen ◽  
Susan E. Hazelett ◽  
Steven Radwany ◽  
Denise Ertle ◽  
Susan M. Fosnight ◽  
...  

2018 ◽  
Vol I (I) ◽  
pp. 1-12
Author(s):  
Muhammad Imran Ashraf ◽  
Athar Ali ◽  
Syed Umair Jalal

This thesis is an attempt to explain the Russian resurgence: The case study of Georgia and Ukraine, with the help of theoretical framework structural realism. Russia having large territory is full of natural resources, under the leadership of Putin Russia utilized its natural resources to regain its lost position and power. In this research I tried to find out the answers of the questions: Why Russia is resurging in Georgia and Ukraine? How we can explain Russia NATO relations and what will be the future course of this relationship? This study is qualitative in nature and case study design has been used. Both Primary and secondary data is being used. This study explains the probability of emergence of the new regional powers, and alliances due to Russian resurgence that counter US and NATO role in world politics up to a certain level. Russian decision to enter into the Syrian crisis and the conflict between Turkey and Russia made my hypothesis true, that Russian resurgence lead to more conflicts between Russia and NATO. Along with all diplomatic channels and cooperation between NATO and Russia has been suspended due the Russian resurgence.


2011 ◽  
Vol 14 (3) ◽  
pp. 137-142 ◽  
Author(s):  
Kyle R. Allen ◽  
Susan E. Hazelett ◽  
David Jarjoura ◽  
Kathy Wright ◽  
Susan M. Fosnight ◽  
...  

2020 ◽  
Vol 43 ◽  
Author(s):  
Myrthe Faber

Abstract Gilead et al. state that abstraction supports mental travel, and that mental travel critically relies on abstraction. I propose an important addition to this theoretical framework, namely that mental travel might also support abstraction. Specifically, I argue that spontaneous mental travel (mind wandering), much like data augmentation in machine learning, provides variability in mental content and context necessary for abstraction.


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