torsdag 19 december 2013

Theme 6: Qualitative and case study research (Reflection)


This week I have learned little of everything about qualitative research and case studies. New knowledge for me is what characterizes a case study and how a case study is conducted. I was already familiar with the qualitative research concept, after have been conducting qualitative research for my Bachelor thesis last spring. If you have prior knowledge about a topic, you easily assimilate more information about it. I would want to compare it with attending a lecture that revolves around something you have studied before. Due to that, I believe I have received a much greater understanding of what qualitative research is and also how it should be carried out. Just as during the previous week, I think it has been beneficial to read other blogposts and follow the discussion at the seminars. Something that stuck on my mind after have been reading the other blogs is the issues surrounding when and why qualitative research is preferable. These types of questions have, more or less, been at issue during every week of this course, for every kind of research method. I am still questioning if there is a 'golden rule' saying how many respondents you should involve in a qualitative research? How should the qualitative method be designed to collect as trustworthy data as possible?

As far as I am concerned, the design of the methodology for a study always depends on what topic you investigate, and the aim with the research. Also, you have to take into account how much time and cost you are able to spend on the research. One thing I have learned from this course is that it is hard to draw fine borders for when to conduct one specific method, and when not to chose that particular one. You have to regard the specific case in detail and truly compare alternative methods to select the one that in the end gives the highest validity and reliability, under given conditions. However, it has been helpful to consider the limitations and the advantages with different kind of research. I guess it will help me in future to chose the 'right' research method. Also, the course has broaden my general view of the research field of Media Technology. Speaking of preunderstanding, I will also have better prerequisites to conduct professional research since I have read through a large amount of research papers. It has given me a touch for when and why to apply a particular research method. That is the conclusion I would like to draw, to tie the course together as a whole. Now I believe that I am better prepared for the Master thesis.

fredag 13 december 2013

Theme 6: Qualitative and case study research


Research paper: Morality and ethics behind the screen: Young people’s perspectives on digital life

I have read the research paper Morality and ethics behind the screen: Young people’s perspectives on digital life that was published in the September 2013 issue of New Media & Society. The study is conducted by Andrea Flores and Carrie James, to draw attention to the moral and ethical issues in a time period of where emerging research illuminates how youth engage with digital media. There were 61 young people aged 15 to 25 participating in the study, who frequently engage in activities such as blogging, social networking, gaming, content creation, participation in online forums or knowledge communities.

The qualitative method used in the paper to explore the research questions is a qualitative interview. The method procedure was divided into two interviews. The first one focused on the participants’ online experiences and perceptions. The second one involved hypothetical dilemmas about online situations. All interviews were digitally recorded and transcribed. A coding scheme comprised of ‘ethic’ codes was developed, where the codes derived from the initial research questions and conceptual framework of ways of thinking. The coding scheme also included ‘emic’ codes, or codes based on themes that emerged directly from the stories and perspectives shared by the participants. For example, the participants’ emotional investment in their online activities surfaced as an important theme and thus became a basis for a code. By coding several transcripts for all codes, comparing coding, and resolving disagreements through discussion and refinement of code definitions, obtained reliability to the study. The final coding was in NVivo, a qualitative software program. A so-called shadow coder reviewed selected transcripts to ensure that reliability was maintained.

The benefits of using this method is that you gather a in-depth understanding of human behavior and the reasons that govern such behavior. What I have learn about qualitative methods by reading this paper is that they investigate why and how, not only what, where and when. The qualitative study produces a lot of information on the particular case studied, that can be used to seek empirical support for research hypotheses. One thing that could be seen as a limitation using this method, because of the low number of participants, is that general conclusions drawn are only propositions.

When to conduct a qualitative research I believe that a common methodological problem arise when to pose questions in order to measure feelings and attitudes that could be considered controversial. In an interview situation the interviewer as well as the respondent is ‘playing a role’ that all involved are aware of. It is often a straining situation that probably affects the conversation in some way. Especially if the issue discussed is somewhat controversial the respondent might respond ‘as it should be’. The design of a qualitative study, the interview and the questions posed must be planned carefully to create a situation in which the respondent in the highest degree can answer the questions truthfully. Also, the transcription of the interview must be carried out in a way that increases the validity and reliability of the study.



What is a case study?

A case study is a research strategy that combines data collection methods such as interviews, questionnaires, archives and observations. Moreover, a case study is an empirical inquiry that investigates a phenomenon within its real-life context. A case study employs an embedded design, which means multiple levels of analysis is carried out within a single study. The focus is on understanding the dynamics present within single settings. The aim that a case study serves to accomplish may differ. For example, it can provide description, test a theory or generate theory. Case studies should not be confused with qualitative research, since the evidence may be a combination of both quantitative and qualitative evidence. A case study typically strengthens grounding of theory by triangulation of evidence. It is sometimes mistaken for the case method, which is not the same. Instead, a case method is a teaching approach that consists in presenting students with a case, putting them in the role of a decision maker facing a problem.



Research paper: Mode, Medium, and Genre: A Case Study of Decisions in New-Media Design

I have read the research paper Mode, Medium, and Genre: A Case Study of Decisions in New-Media Design that was published in the January 2008 issue of Business and Technical Communication. This study is conducted to investigate the relationship between genre theory and new media theories from a designer's perspective. As common in the field of media technology this research uses a case study, because it investigates settings and situation that has already entry into force.

One strength of the paper is that there are a lot of literature that brings to light the internal validity. It introduces the reader to the field by focusing on theoretical useful cases, which lay a ground to the research study conducted. Also, there is an overlap of the data collection and the analysis, which increases the theoretical level and sharpens the construct definitions. On the contrary, the paper is not likewise successful in comparing conflicting literature in order to sharpen the generalizability and reduce the risk of subjectivity.

Concerning the crafting of instruments and protocols there are two investigators carrying out this investigation. One of them is the observer and the other one is the practitioner, and both of them have different backgrounds in the field of media and communication. By doing so, it might contribute to a synergistic view of the evidence that might strengthen the grounding of theory. What they believe is that they provides a more robust account of the design process than could have maintained with a strict researcher-subject division. On the one hand, I question the fact that the observer and the practitioner of the study are related. Maybe if they carry out a study with a common purpose and might affect each other, I am not sure their course of action is advantageously for the study. On the other hand, this approach could also reduce the inference in communications, given that they hold different positions in the study and also are comfortable with each other. If so, this situation might bring up and identify different perspectives, which is a good thing as the evidence is seen thru multiple lenses.

The investigators have used multiple data collecting methods (field-observations, interview-discussions, and artifact collection). A strength with such a triangulation of evidence is the increased validity and the reliability. The analysis of the data is of the sort that is called 'within-case analysis'. In some extent, it searches for evidence of “why” behind relationships that the literature suggests. The theory is linked to the findings and there is a iterative tabulation of evidence for some of the constructs in the study, although not for every one of them. Therefore, the study succeed in some extent to shape hypotheses by confirming, extending and sharpening the theory. Finally, I believe the investigation ties it all together and reach closure.


References:
  • Eisenhardt, K. M. (1989). Building Theories from Case Study Research. Academy of Management Review, 14(4), 532-550.
  • Graham, S. Scott & Whalen, Brandon. (2008). Mode, Medium, and Genre: A Case Study of Decisions in New-Media Design. Journal of Business and Technical Communication, 22(1); 65-91.
  • Flores, Andrea. (2012). Morality and ethics behind the screen: Young people’s perspectives on digital life. New Media & Society, 15(6): 834-852.

torsdag 12 december 2013

Theme 5: Design research (Reflection)

It feels like I have suffered from writer's block this week. And I have not been able to attend none of the lectures of this week, which does not make it easier to write this reflection. However, my course mates have informed me of what issues were raised at this week's lectures. The two papers that we read last week as a preparation for the design research theme brought many new issues to mind. Especially, after have been reading the blog posts by my course mates to glean more information about it.

One thing that surprised me was the statement that the design concept itself could serve as enough empirical data in a study. As far as I am concerned, it is important to gather a lot of data as it increases the validity and reliability. In general, I believe there is a fear of generalizing and therefore of not having enough data. If you instead ignore huge user studies, focus groups, interviews, cross-nation surveys with a large number of respondents, you can release time. Thus, a new lesson is that qualitative methods within design research do not have to be limited to the most common evaluation methods. Instead you can simply observe a concept or design based on your own prior research and expert knowledge, that will be accepted by the research community.

I remember that I enjoyed reading the research paper written by Haibo Li and his colleagues. It had a straight forward structure and a logical chain of thought, which made it easy to follow the text, even though the content was quite advanced. Now that we are approaching the end of the course and have been reading a lot of different research papers I have come to one conclusion. In the end it does not matter what you have done, if you do not manage to convey it in an interesting way. To convey the message in a clear and interesting way is an important part of communication. Not all researchers succeed to do so.

I really wish I could have attended Li’s lecture. As I understand, the lecture was a hands-on approach on how to conduct ‘successful research’ and how to monetize your research. As he suggests, you have to be good at foreseeing things. For example if the idea is a breakthrough technology, if the timing is right or if the idea will serve to solve a real problem. In order to do so, I believe you have to master many different areas, be analytical and understand how the world works, at various levels. Also, he stresses that a great researchers spend more time to analyzing and defining the underlying problem. By doing so, it is easier to come up with a solution that is truly successful. As I was mentioned before, the most important thing in communication is to convey a clear message. Prototyping can be helpful when to sell an idea.

Finally, it is interesting to discuss the which forces that are behind the research. Is it commercial gains that forefront of science forward, or knowledge-based gains? How will this affect the research in future? Will there be a less wide research area? Will the quality of research increase or decrease?

fredag 6 december 2013

Theme 5: Design research

Research paper: Comics, Robots, Fashion and Programming: outlining the concept of actDresses

Described in this paper is the exploration of how the semiotics of two fields, fashion and comics, could work as inspiration to physical language design. As Fernaeus and Jacobsson proclaim, clothes serve a range of communicative functions, like indicating appropriate behavior, group belongings and expected interactions. Also comics is a form of language which allow to exaggerate and emphasize properties. The visual presentation can produce a direct reading experience, creating an illusion of for example motion and sound, for readers that have learned the principles and sign language of comics, even though the medium itself is static and silent. The researchers that conduct this research think that there is a need to explore other systems and modes of program representations, as a consequence of the increased physical systems that are often not even equipped with screen displays. They also claim that users want to modify and control on their different devices. 

Based on these theories, a design concept of the so-called actDresses is defined. Also, three example scenarios were provided, of how the concept can be used for controlling, programming, and predicting the behavior of robotic systems. These examples are designed as physically embodied sketches, that was possible to realize with readily available technology.

One lesson learned from reading this paper is that visualizing different examples using scenarios is a good way to convey an idea. Scenarios make it easy for us to concretely realize an idea that we also can relate to. Reading this paper also made me understand what innovation revolves around. Innovation is partly about examining new research areas in relation to other existing fields. The way I see it, from investigations that link totally different fields, you are able to come up with new and fresh innovative ideas to develop. Thoughts as these lead my question: Can you think of some other examples of innovative ideas that are based on investigations that combine totally different research fields?


Research paper: Turn Your Mobile Into the Ball: Rendering Live Football Game Using Vibration

How media technologies can be evaluated
As things stand today, the field of media technology is mainly characterized by the social media and focuses heavily on the human-computer interaction (HCI). In order to analyze and evaluate media technologies, you often use and collect data from actual features in social media systems, sites and services. The exact way of carrying out the evaluation obviously vary as it depends on what to investigate. You can either evaluate features, systems, sites or services that has already entry into force, or evaluate a conceptual design. Conceptual design involves creations where you envision new platform features, systems, sites or services using mock-ups, scenario documents and so on. When to conduct a study within the field of HCI there are three standard parameters that you most often investigate to measure the usability, namely effectiveness, efficiency and satisfaction. That is what Haibo Li and his colleagues measure by using their evaluation method in the study Turn Your Mobile Into the Ball: Rendering Live Football Game Using Vibration.

HCI-parameters: Effectiveness, efficiency and satisfaction
The three parameters is often evaluated by observing and measure the users reactions when interacting with the particular system. The effectiveness is, as a suggestion, analyzed and evaluated by studying whether or not a task could be accomplished with the specific system at question. To analyze and evaluate the efficiency you often measure the time duration for a user to carry out a specific task with the specific system as support. Also, you can measure the satisfaction for the user to perform a task, by letting the user grade the experience using the specific system. Worth to mention is that you should always take into account that memories and past experiences could possibly affect the data, which in turn can affect the result in some direction. Therefore, you should make sure to chose an evaluation method that does not leave out to verify aspects or factors that might have an impact on the result. The more data the better, in order to increase the level of reliability and validity. Afterwards, you can always exclude findings that end up to be irrelevant. On the contrary, in hindsight it is harder to receive data on things you believe to have influenced the result. Therefore you must also plan your evaluation method in detail and in advance, to not make any mistakes. Mistakes always end up to be extremely time- and cost consuming.

Prototypes’ role in research
Prototypes can beneficially be used to show others a specific idea, or a system under development, with a clear visualization. Prototypes can be designed to resemble the actual product or system that you want to test on the user. They play an important role in iterative design processes, in which you continuously develop the design of the system, based on the user opinion. Therefore, prototypes are a great tool when you are investigating a system that has not completely entry into force, but is still in a development stage. In this context it is worth mentioning the costs of developing well-functioning and properly running systems. Let's say that you are conducting a comparative evaluation of two hypothetical systems that are not completely developed. This to test the users' attitudes toward the basic ideas of the two system. Conducting such an evaluation can lead to a forecast that reveals which one of the two systems that will probably be most appreciated by the users.


References

torsdag 5 december 2013

Theme 4: Quantitative research (Reflection)

It is time to sum up this theme and what I have learned during this week’s work. In general, I feel that I have got a chance to practise outlining and analysing scientific methods that are relevant for media technology research. Also, I have identified methodological problems in research studies.
I have thought a little bit more about the method ‘quantitative content analysis’ used on blogs, as so was the case in my chosen research paper (see the blog post before this one, for a reminder). Content analysis is a method that makes it possible to compress a lot of textual information and systematically identify their properties, and compressing a lot of words into fewer content categories. When analysing linguistics the results happens to depend a lot on the decoder’s interpretation. The blogosphere is filled with texts characterized of a high ‘personal touch’ and sometimes also a lot of irony. These factors can be seen as disruption in the communication and be problematic to analyse in a content analysis. Most likely it will affect the analysis in some direction and therefore also oppose basic validation of the coding scheme. Another thing I was wondering about is the fact that the blog has become a platform where to present oneself in the best light, without being required to tell the whole truth. That makes me questioning the reliability of using the blogosphere as primary research area.

I have also thought about how to measure feelings, as these are highly individual and experienced differently from person to person. I understand why one must generalize and simplify by categorizing. If not, it would be almost impossible to come up with a conclusion that ties the research together and makes it interesting. The way I see it, a study is always affected, either by the researchers or the participants, as none of these are unconcerned people. Therefore, feelings and experiences always affect the result in some way. Additionally, the environment where the experiment or study is carried out may also affect the result. Let’s say that the respondent does not feel comfortable in the specific environment, as it reminds him or her of unpleasant memories. Then the participant most likely would not react as he or she normally would have done if so was not the case. Finally, I want to put focus on another limitation of quantitative methods, namely when to answer the question "why" something is in a specific way. Instead quantitative methods are appropriate and effective when to proven right or wrong. All these mentioned aspects are things that I will carefully think of when I will conduct a research in future.


fredag 29 november 2013

Theme 4: Quantitative research

Research paper: Women bloggers: Identity and conceptualization of sports
I have read the media technology research paper Women bloggers: Identity and conceptualization of sports which is published in the December 2013 issue of New media and society. The paper has an impact factor of 1.824. The title of this paper caught my attention since I myself was studying women in the blogosphere for my Bachelor thesis. Also, I am interested in both sports and feminism. The study explores the formation of self and the conceptualization of sports in the 'Sports Blog' directory of a special women’s blog network in the US. I was curious to investigate how the methodology was carried out and also to read the conclusions.

In this research paper there is only one quantitative method used, namely a 'quantitative content analysis'. This method is most commonly defined as an objective and systematic method for a quantitative analysis of manifest content. As opposed to qualitative textual analysis, which is subjective and interpretive, quantitative content analysis does not make any claims beyond what can be identified and counted in the text.

I believe that a quantitative content analysis method is used beneficially when to study a topic that in some way could be controversial, or if it easily affects your feelings. What I mean is that a qualitative content analysis is probably more subjective and interpretive, which may in some cases affect your conclusion, either consciously or unconsciously. For example as feminist scholars, as in this case, you have to be cognizant that your social locations may shape your research. I guess that is always the case, more or less. However, taking such aspects into account when designing the methodology of the study, you are able to increase the level of validity and reliability. Speaking of which, one thing that stuck on my mind was the fact that the study only uses one single method as a base for the discussion and conclusion made. During my years as a student I have always heard that, in most cases, it is recommended to apply methods in a mix. The so-called 'triangulation' is a technique that facilitates the validation of data which is received from more than one or two sources. I believe that is something that could have been approved in this study, in order to increase the level of validity and reliability. At least the they could have argued why not to use other methods than the 'quantitative content analysis'.

The main thing learned from reading this paper is how a quantitative content analysis could be designed. For the Bachelor thesis we carried out a quite extensive qualitative content analysis instead, which was more based on observation and interpretation. Back then it felt too complicated to collect quantitative content from many sources in a widespread blogosphere. Especially since blogs have a high personal mark and it feels difficult to 'transform' this kind of content to research data. After been reading this paper, I am amazed by the advanced tools for collecting quantitative data from personal content, which are often built-in, in the blog networks.


Research paper: Physical Activity, stress, and self-reported upper respiratory tract infection
The reason with this study is to investigate whether upper respiratory tract infection (URTI) could be related to physical activity and perceived stress, or not. There were 1509 participants in the study, aged 20-60 years. The method used is a web-based questionnaire to assess disease status and lifestyle. Also, it assesses the physical activity and inactivity as total MET-hours per day, as well as perceived stress by a 14-item Perceived Stress Scale. The conclusion made is that a high physical activity is associated with lower risk of contracting URTI, for both men and women. Additionally, the result showed that highly stressed people, predominantly men, appear to benefit more from physical activity than those with lower stress levels.

1. Which are the benefits and limitations of using quantitative methods?
Quantitative methods makes it easy to gather statistical evidence to test or prove a proposed hypothesis. A large amount of quantitative data can be gathered in a short time period and the results is most commonly easy to analyze. Using population-based quantitative methods you get pretty good sample of the population, from which answers clear and comprehensive tendencies can be identified. Since you often receive a large amount of statistical data from quantitative methods, these can also bring up new insights on the issue at question. On the other hand, a drawback with quantitative methods is that these does not primarily take into account complex and more detailed aspects that might be of interest in the study. Also, it is hard to verify if the respondents has misinterpreted questions in a questionnaire, as you probably not come into close contact with the respondents.

2. Which are the benefits and limitations of using qualitative methods?
Qualitative methods are beneficially used when to search answers or information about a narrow research question within a specific subject area. Advantageously, qualitative methods is used to investigate the findings from a quantitative method further, to verify that the statistical data is interpreted properly. The findings often provide a deeper understanding and insights into the research question that is investigated. A limitation with qualitative methods is that they are often time consuming and therefore limited to a smaller group of respondents. Consequently, results from qualitative methods cannot independently support conclusions in a general sense.

torsdag 28 november 2013

Theme 3: Research and theory (Reflection)

I have learned a lot by reading other blog posts this week, that I can also relate to my findings in the research paper I studied. What I found most surprising is that there are so many different categories of theories, and how to decide what theory is not. Even though I have received a greater understanding of what is meant by theory and research in the field of media technology, it feels like I miss a conclusion that ties it all together. What has stuck on my mind after have been working with this theme is that these topics are really multifaceted and somehow 'messy'. Maybe that is because the plurality and dispersal in this research field have gone too far? Or else I am just way off..

However, the question raised above is more or less discussed in the research paper I have studied; Is there a 'field' of media research? – The 'fragmentation' issue revisited. As claimed in this research paper, the ubiquitous social media has penetrated into various academic spheres and led to a range of new disciplines. There is a new positioning of media within frameworks of ideas and how to investigate it, which has led to the so-called 'fragmentation of field'. As things stand today, most of the faculties in the research field of media technology consists of cross-disciplinary research groups. A typical faculty is represented of other 'subfields' within media, such as anthropology, psychology, history, philosophy, economics, computer science, interaction design, film and literature science, media and communication sciences etc. According to my chosen paper, the research field of media technology is changing as a result of the influence by all these 'subfields'. With such a great plurality and dispersal of 'subfields' in a broad and fragmented field, I believe it is hard to discuss a specific topic in a clear way with a logical chain of thought. That is precisely what happens to be the case in my chosen research paper; it is unclear, straggly and lack some logic. This in turn, reminds me of when I was writing my Bachelor thesis and how hard it was to narrow the content of the broad field of media technology. I often included topics that at first seemed relevant, that later ended up being totally irrelevant for the conclusion.

To sum up, I am pleased to have received a more clear understanding of what theory is and what theory is not. Even though I am not entirely sure about the concepts, I guess it will be clearer these forthcoming weeks. It will be interesting to further investigate the research field of media technology. So far we have only gone through the basics of theory and methodology for media technology. The remaining weeks I hope to get an even better insight in this particular field. The more research papers you read and discuss, the more experiences you gather. It will give you a great understanding of how to improve your own writing, which I believe is an awesome preparation towards the Master thesis.

fredag 22 november 2013

Theme 3: Research and theory

Gregor, S. - The Nature of Theory in Information Systems
Sutton, R. I. & Staw, B.M. - What Theory is Not

What is theory?
Theory is an abstract concept for explaining and describing phenomenons in world, emphasizing the nature of relationships between causal logic and event. It is built on information as a tool to understand why and how things happen or are in a certain way. A theory should be testable, meaning that it is established after have been confirmed by experiments or observations. It can be supported by references, hypotheses, diagrams or variables. A theory is looked upon as an accepted belief when it is accepted by a majority of people.

What is theory not?
There is lack of agreement whether a typology is properly labeled a theory or not, and whether the strength of a theory depends on how interesting it is. Objectivity and validity is beneficially when to postulate a theory, but only using what may be seen as undeniable knowledge does not necessarily make it a successful theory. There is a broad agreement as to what theory is not (Staw & Sutton, 1995). As far as I am concerned, information without context and logical reasoning is not theory. References are not theory, as references to existing theories cannot declare the causal logic which they contain. Variables are not theory, as a set of implications to hypothetical consequences does not make a theoretical argument. Diagrams are not theory, as they lack the logical declarations that are required to evince the underlying reasons, which form the basis of predictions in a theory. Hypotheses are not theory, as they offer statements as to what something is expected to occur, but not why. Finally, Data is not theory, as it describes the empirical patterns that were observed whilst theory explains why empirical patterns are expected to be observed.


Research journal
http://mcs.sagepub.com/

The aim of Media, Culture & Society is to provide a major peer-reviewed forum for research and discussion on the media. This research journal addresses the newer information and communication technologies, within their political, economic, cultural and historical contexts. Also, it raises issues on substantive topics and on critique and innovation in theory and method. Media, Culture & Society has an impact factor of 1.092.





Research paper
I have studied the paper Is there a ‘field’ of media research? – The ‘fragmentation’ issue revisited which was published in the November 2013 issue of Media, Culture & Society, written by John Corner. Appropriately to this theme of the course, the paper puts focus on the meteoric interest of ‘new media’ that brings us to the so-called anxious of ‘fragmentation of the field’, within media research. The main purpose of the paper is to show what is now happening under the heading of ‘media and communications research’ and to recognise the broader pattern of shifts in the nature and conduct of academic inquiry.

Comprehensively, the paper argues that there is a turn towards a more sustained engagement in a great diverse of fields within media, both conceptually and empirically. It claims the strengthening of research that focus on areas like literary studies, geography, history, modern languages and economics. The explanation to this is, not surprisingly, the arrival of ‘new media’ and ‘social media’. The ubiquitous media has penetrated into various academic spheres and led to a range of new disciplines in the humanities and social sciences. Therefore, there is a new positioning of media within frameworks of ideas and how to investigate it, which has led to the so-called ‘fragmentation of field’.

As characteristic of basic research, the paper is toward written with the purpose to greater knowledge or understanding of the fundamental aspects of phenomena and of observable facts without specific applications towards processes or products in mind. This paper is rather short and does not make room for limitations. Far from all concepts are fully explained to the reader, even though it contains a large number of examples and approaches that would be interesting to discuss further. The paper has an expository structure with a personal approach, as the author’s voice is present with support to be found in the literature. Generally, the data used in the paper are based on a contextual analysis including some literary studies. I believe the data are valid and reliable representations of the empirical reality they attempt to capture.

What I experienced as a disadvantage is the 'straggly' structure without a main thread. For example, concepts that first are said to be left out in the paper, are later brought to light. It misleads the reader and creates an unclear path of argumentation for the paper's propositions. A further disadvantage is that the conclusions drawn from the paper does not form a logical extension of the data used in the context. I really miss a conclusion that ties all the content together. On the other hand, the recited issue 'fragmentation of field' is a rather straggly topic. Maybe that explains the unclear structure, as it is quite hard to "sum up" a topic that is discussed in a broad field.


Theory type
I would describe the major theory that is used in my paper as explanation. The author provides explanations of how, why and when the phenomena happens. In this case the phenomena is ‘fragmentation of field’ and the explanation relies on varying views of causality and methods for argumentation. The paper intends to promote greater understanding and insights into the phenomena, with no aim to predict with any precision. The paper’s propostions are not really testable, which is another distinguished attribute for the “explanation”-theory. It rather explains something merely to show how to derive it in a logical argument from premises that include a covering law.


Benefits and limitations
Explaination serves a purpose to show others how the world may be viewed in a certain way, in turn with the aim of bringing about an altered understanding of how things are or why they are as they are. The theory for explaining is suitable at a lower level, when explanations are given for how and why things happened in some particular real-world situation. It also fits well where theory itself is an end product and not expected to lead to predictive, deterministic theory.

A distinguished attribute of explanation theory is that the propositions are not testable. One limitation is that judgment regarding the contribution to knowledge for this type of theory is made primarily on the basis of whether new or interesting insights are provided, and on the basis of plausibility, credibility, consistency, and transferability of the arguments made. Therefore, you have to keep in mind that there are cases that requires more than an explained “story” to qualify as theorizing and lead to conclusion with some generality.

I believe explanation is used beneficially when the proposition is basic, new and interesting. Instead of generalizing, as many generalizations are widely known and rather boring, the theory serve as a “surprise machine”. The point is to make room for artful and exciting insights that leads the reader into amazement, with a set of categories and domain assumptions aimed at clearing away conventional notions.