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Advantages and disadvantages of inductive method of research
Qualitative research methodology phenomenology
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A scholarly exploration involves the employment of a research approach. In the qualitative side of the research method spectrum, there exists a multitude of approaches (Willig, 2008). From this pool of choices, I decided that for my research project, I will employ Jonathan Smith’s Interpretative Phenomenological Analysis (abbreviated as IPA). As an approach, IPA aims to produce an understanding of the sensemaking involved in people’s lived experiences (Birkbeck University of London, 2015; Smith & Osborn, 2008). Through the employment of IPA as the research approach, I expect that a thorough understanding of the defeminization phenomenon will be achieved. My expectation is grounded on the fact that IPA draws its strength as a framework from philosophical and methodological underpinnings that I deemed appropriate or fitting for the exploration of my research topic. These underpinnings are as follows: phenomenology, hermeneutics, idiography, induction, eidetic reduction, transcendental reduction, cognitive paradigm, symbolic interactionism, critical realism, and social cognition paradigm (Fade, 2004; Smith & Osborn, 2008; Smith, Flowers, & Larkin, 2009).
IPA as Phenomenological IPA is theoretically underpinned by
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The inductive approach involves the formulation of generalizations, propositions, or theories out of the extracted patterns, consistencies, and meanings that a researcher has extracted from the gathered data (Gray, 2015; Gabriel, 2013; Weitzman, n.d.). This is opposed to the use of data for confirmation and debunking of theories and conceptions involved in the deductive approach (Gabriel, 2013; Weitzman, n.d.). As such, induction is considered as the ideal approach to exploring novel and underresearched phenomena (Gabriel, 2013). Even in well-researched topics, induction proves its usefulness by permitting the emergence of unanticipated and unpredicted findings (Griffiths,
Hayano (1979) first introduced the term “auto-ethnography” in response to his questions around the issue of how people could create ethnographies of their own cultures, but the extent of its relevance and application only arose in the coming years. This relevance was due to the shift away from canonical forms of research that were “author evacuated texts” (Sparkes, 2000, p. 22) towards a more personalised approach. This was a direct echo of the post-modern movement burgeoning at the time, which questioned the scientific paradigm that qualitative research was subjected to. Rather autoethnographies “are highly personalized accounts that draw upon the experience of the author/researcher for the purposes of extending sociological understanding” (Sparkes, 2000, p. 21).
“Limited Information is really how we err. But it is also how we think.” The act of actively combating our inductive bias in Kathryn Schulz’s Evidence
Symbolic interactionism perspective is defined as “the study of how people negotiate the meanings of social life during their interactions with others” (Rohall, Milkie, and Lucas, 2014, p.27). It asserts that “we construct meaning about things that are important in our own lives and in our society” (Rohall, Milkie, and Lucas, 2014, p.28). These meanings derive from social interactions among individuals which
Jackson, J. P., Clements, P. T., Averill, J. B., & Zimbro, K. (2009). Patterns of knowing:
Statistical Induction- is based on statistical information, it predicts something will happen with numerical probability.
”Theories tell how and why things work; how and why one variable is related to another. Research findings that are theory based can be place in a framework that advances science further than findings that are unconnected to formal theory.” (O'Connell, 2009, p. 33).
Induction is a form of reasoning where humans use past experiences to make future predictions.
The term inductive reasoning refers to reasoning that takes specific information and makes a broader generalization that is considered probable, allowing for the fact that the conclusion may not be accurate. An example of inductive reasoning is: All observed children like to play with Legos. All children, therefore, enjoy playing with Legos. Relying on inductive reasoning throughout everyday life is just a part of human nature. If someone were to take into consideration every plausible outcome of a given situation, they would never get anything done or been stricken with worry. The simple principle of induction (SPI) states that:
The unstructured interview approach, is an excellent way of creating multiple realities by giving the control of the interview over to the participants being interviewed and inviting them to tell their stories peaked by only an open-ended question. This method requires an environment in which the participants readily open up (Hill, 2001). To the credit of the current study, the interviewees did provide detailed accounts when interviewed. Additionally, as the stories are elicited by the participants own volition, they can cover a broad range of topics allows for unplanned comments and topics to come up that may have otherwise been left untouched in a more structured methodology (Kvale, 1983). However, because the responses are so gloriously open ended they are difficult to compare across different cases, and large amounts of irrelevant data must be sifted through in a time consuming manner. The benefit of qualitative phenomenological research is that while most scientific methods focus on what can be physically observed and quantitatively measured, this leaves a gapping hole in our ability to evaluate the human condition as most of what we do is determined by unseen forces in our psyches (Kvale, 1983). Therefore, open-ended phenomenology allows researchers to break the restrictive mold and attempt to discover insights into lived experience that would normally remain invisible to more traditional scientific study (Dale,
One of the first things that has always caught my attention with the concepts of Deconstruction has to do with the representation of reality and truth through language. Since we learned via Saussere's structuralist linguistics that the word as we know it is arbitrary and dependent on signification for meaning, how can we be assured that the signification and contexts we are using are the right ones to convey reality? The readings this week of Jacques Derrida, Jonathan Culler, and others shed light upon how the process of deconstruction works to identify the structural assumptions we make when deriving meaning, and how those can be exposed through the deconstructive process to critically examine what represents experience and reality.
Qualitative research is an approach that attempts to situate an activity that locates the observer in the world by providing the study to occur in their natural setting and by attempting to make sense of, or interpret information (Denzin and Lincoln, 2005). A characteristic of qualitative research is to use a variety of empirical materials such as personal experience, interviews, and questionnaires. It is imperative to understand the task at hand and how to fully carry out the study when using a qualitative research approach in order to find out the information needed. One view of qualitative research is it involves examining individual’s experiences and documenting those experiences in detail (Jones, 2011). By documenting these observations the researcher is ensuring validity in his or her data and giving the correct creditability to those who participated in the study.
The subject of induction can be derived back from the 18th century after philosophers argued about contemporary individual views. David Hume emerged with the induction problem and posed a big challenge on how people approached the world through inductive reasoning. According to his writings, induction created an epistemological hurdle proving unreasonable as a way of acquiring knowledge. Chalmers’s contribution to inductive reasoning facilitated towards finding a resolution to the problem. Induction had created a skeptical danger towards a widely accepted belief in the society. According to Chalmers, it is an unjustifiable approach that individuals use to make assumptions from what has been, previously...
A theory is a way organizing and systematizing what is known about a phenomenon. It is, in fact, “a rationalized set of assumptions or hypotheses that provides a person with tools that can be utilized to explain the past and predict the future” (Johnson, 2000). Therefore, theories provide direction and when tested and supported, can assist in expanding our knowledge.
Primary source data collection relies on structured interviews and questionnaires, which many argue do not offer enough fluidity to relate to everyday lives and therefore are not valid research tools (Bryman 2001, p.77). Critics also continue to associate positivism and quantitative methods failing to see that quantitative researchers do not apply the scientific method to all data and can account for influencing variables (Bryman 2001, p.77; Matthews and Ross 2010, p.29). Quantitative methods in the social sciences were highlighted by the positivist epistemology during the mid 20th century; however, Jones (2010) explains how the principles of positivist epistemology are not fully consistent with modern quantitative methods in the social sciences (Matthews and Ross 2010, p.27). Positivist research parallels that of the natural sciences, where data collection and hypothesis testing is conducted from information that can be observed and recorded by the senses (Matthews and Ross 2010, p.27). Because information can only be observed, positivists look for regularities and explain causation when one event regularly follows another, which is why many will criticize quantitative methods if they associate them with the positivist approach to research (Jones
Traditional research may use quantitative or qualitative research method. According to Hendricks (2009), quantitative research is a general conclusion based on hard data. Hen-dricks describe quantitativ...