Today, the world of research is quite literally available through the touch of a few buttons via online resaerch. But this increase in access and availability is not without its challenges. With ‘hits’ that can run into millions, unless the student knows how to search effectively and efficiently, the information that he or she finds can quickly become overwhelming. This chapter guides students through the process of literature searching for their dissertation. It outlines how to develop a successful search strategy and what to do with the literature once it is discovered. Topics covered include what counts as literature; different ‘types’ of literature searching; how to develop a literature search strategy; and common problems associated with literature searching.
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5. Conducting a Literature Search
Book
Tom Clark, Liam Foster, and Alan Bryman
How to do your Social Research Project or Dissertation looks to help readers to navigate research for a project or dissertation. It starts with an introduction to the research process and how to get started. It examines the process of developing an idea. It reviews the available literature. It then considers how to build upon the project idea, the ethical issues, and how to write a proposal. Next it considers sampling, and collecting and analyzing quantitative and qualitative data. Finally, it describes how to evaluate the project and the process of writing up.
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Falsification
How does it Relate to Reproducibility?
Brian D. Earp
This chapter evaluates falsification. Contemporary philosophers of science tend to look down on falsifiability as overly simplistic. Nevertheless, among many practising scientists, the notion is still regarded as a useful — if imperfect — heuristic for judging the strength of a hypothesis in terms of its ability to generate new insights when combined with careful observation. Falsification also relates to self-correction in science. Often, erroneous findings make their way into the literature. If subsequent researchers conduct the same experiment as the original and yet it fails to yield the same finding, they are often described as having ‘falsified’ (that is, shown to be incorrect) the original result. In this way, mistakes, false alarms, and other non-reproducible output is thought to be identifiable and thus able to be corrected. For self-correction in science through falsification, what is needed are ‘direct’ replications. The chapter then considers the importance of auxiliary assumptions.
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I. Interdisciplinarity
The Interaction of Different Disciplines for Understanding Common Problems
Roberto Carrillo and Lidia Núñez
This chapter describes interdisciplinary, a term which refers to a mode of conducting research that ‘integrates information, data, techniques, tools, perspectives, concepts, and/or theories from two or more disciplines or bodies of specialized knowledge to advance fundamental understanding or to solve problems whose solutions are beyond the scope of a single discipline or area of research practice’. Therefore, it is a way of conducting research that goes beyond the frontiers of traditional disciplines. The chapter provides an overview of the main features of how interdisciplinarity is applied in the social sciences. It defines the concept and traces its origins and evolution, as well as the interrelationship between interdisciplinary studies, society, and the development of public policies. The chapter then discusses the measurement and analysis of interdisciplinarity. Finally, it presents the main criticisms of interdisciplinarity and its use in the social sciences.
Chapter
Bias
Unavoidable Subjectivity?
Aysel Küçüksu and Stephanie Anne Shelton
This chapter looks at bias, a term which refers to an uninvited, but inevitable aspect of conducting research. It is usually equated with subjectivity, the distortion and manipulation of data, or a lack of objectivity, which undermines the credibility of the research. Bias comes in many forms and the chapter discusses the two that are the most common in the literature: gender bias and confirmation bias. The long-standing positivist interpretation of bias considers that it is an inherently problematic ‘ethical issue’. Yet, contemporary research has called for a ‘reconceptualization’ of this perception of bias in order to encourage a more nuanced view. In the social sciences, bias is a manifestation of how cultural and political standing affects our approach to science. Bias should be acknowledged early on to ensure that both researchers and readers have the critical tools necessary to recognize it and evaluate its influences. This approach originated in anthropology and is known as ‘positionality’.
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Typology
A Multidimensional Classification
Jean-Frédéric Morin, Christian Olsson, and Ece Özlem Atikcan
This chapter assesses typology. The importance of typologies is contested. Some scholars view them as fundamental to concept construction, while others consider that they are temporary devices at best and actually discourage their use. The chapter focuses on the less problematic, heuristic roles of typologies. In this respect, typologies are a proven and widely used instrument for organizing knowledge and ideas at various stages of research, and especially for jump starting the process of generating hypotheses. Moreover, theories are often presented, e.g. for didactic purposes, by means of typologies. Before turning to the uses of typologies, the chapter differentiates between typology, classification, and taxonomy.
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Research Question
Irene Wieczorek and Piergiuseppe Parisi
This chapter looks at research questions, which identify what the researcher wants to find out or understand. They are a crucial component of any study and are connected to all parts of the research. Depending on the type of study, the research question may either serve as the starting point of the entire research or change in response to the research design. A research question should naturally be formulated in an interrogative manner and should be a query to which the answer is not known at the outset of the research process. Research questions have a twofold purpose: they define the boundaries of a research project, thus guiding the investigation, and they are meant to spark the reader’s interest.
Chapter
Ethics in Research
Laurence Marquis and Mark Daku
This chapter studies ethics in research. Ethics play an important role in scientific inquiry, beyond cases of plagiarism, fraud, and misconduct. Importantly, there is a difference between ethical research and ethical researchers. While principles of ethics in research stem mostly from the biomedical field, they have also been adapted to apply to the social sciences. These principles are generally addressed through three common principles: voluntary participation, informed consent, and confidentiality. Researchers themselves must be wary of a number of other factors that can influence their project and role, such as the supervision of students, or other situations where there is a relationship of authority. Similarly, researchers must be careful not to make misrepresentations to subjects about the project or the related risks, or fail to disclose any conflict of interest. Researchers must take steps to ensure their neutrality so that no preconceptions or personal bias can risk influencing the results or subjects. The chapter then looks at ethics review boards and the emergent ethical issues.
Chapter
L. Levels of Analysis
Mauro Caprioli and Claire Dupuy
This chapter studies levels of analysis. Research in the social sciences may be interested in subjects located at different levels of analysis. The level of analysis indicates the position at which social and political phenomena are analysed within a gradual order of abstraction or aggregation that is constructed analytically. Its definition and boundaries vary across social science disciplines. In general, the micro level refers to the individual level and focuses on citizens’ attitudes or politicians’ and diplomats’ behaviour. Analyses at the meso level focus on groups and organizations, like political parties, social movements, and public administrations. The macro level corresponds to structures that are national, social, economic, cultural, or institutional — for example, countries and national or supranational political regimes. The explanandum (what research aims to account for), the explanans (the explanations), the unit of analysis, and data collection can be located at different levels. The chapter then considers two main errors commonly associated with aggregation and levels of analysis: ecological and atomistic fallacies.