Literature review

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A literature review is an overview of the previously published works on a topic. The term can refer to a full scholarly paper or a section of a scholarly work such as a book, or an article. Either way, a literature review is supposed to provide the researcher/author and the audiences with a general image of the existing knowledge on the topic under question. A good literature review can ensure that a proper research question has been asked and a proper theoretical framework and/or research methodology have been chosen. To be precise, a literature review serves to situate the current study within the body of the relevant literature and to provide context for the reader. In such case, the review usually precedes the methodology and results sections of the work.

Contents

Producing a literature review is often a part of graduate and post-graduate student work, including in the preparation of a thesis, dissertation, or a journal article. Literature reviews are also common in a research proposal or prospectus (the document that is approved before a student formally begins a dissertation or thesis). [1]

A literature review can be a type of review article. In this sense, a literature review is a scholarly paper that presents the current knowledge including substantive findings as well as theoretical and methodological contributions to a particular topic. Literature reviews are secondary sources and do not report new or original experimental work. Most often associated with academic-oriented literature, such reviews are found in academic journals and are not to be confused with book reviews, which may also appear in the same publication. Literature reviews are a basis for research in nearly every academic field.

Types

Since the concept of a systematic review was formalized (codified) in the 1970s, a basic division among types of reviews is the dichotomy of narrative reviews versus systematic reviews. The term literature review without further specification still refers (even now, by convention) to a narrative review.

The main types of narrative reviews are evaluative, exploratory, and instrumental. [2]

A fourth type of review, the systematic review, also reviews the literature (the scientific literature), but because the term literature review conventionally refers to narrative reviews, the usage for referring to it is "systematic review". A systematic review is focused on a specific research question, trying to identify, appraise, select, and synthesize all high-quality research evidence and arguments relevant to that question. A meta-analysis is typically a systematic review using statistical methods to effectively combine the data used on all selected studies to produce a more reliable result. [3]

Torraco (2016) [4] describes an integrative literature review. The purpose of an integrative literature review is to generate new knowledge on a topic through the process of review, critique, and then synthesis of the literature under investigation.

George et al (2023) [5] offer an extensive overview of review approaches and describe six different types of review, each with their own unique purpose. First, the exploratory or scoping review which focuses on broadness as opposed to depth. Second, the systematic or integrative review which integrates empirical studies on a topic. Third, the meta-narrative review which is a qualitative review approach that uses literature to compare different research or practice communities. Fourth, the problematizing or critical review which proposes new ways of thinking about a concept by linking it with other literature. Fifth, the meta-analysis and meta-regression which provide an integration of quantitative studies and identify moderators. And, finally, the mixed research synthesis which combines other review approaches in the same paper. They also propose a model for selecting an approach by looking at the purpose, object, subject, community and practices of the review.

Process and product

Shields and Rangarajan (2013) distinguish between the process of reviewing the literature and a finished work or product known as a literature review. [6] :193–229 The process of reviewing the literature is often ongoing and informs many aspects of the empirical research project.

The process of reviewing the literature requires different kinds of activities and ways of thinking. [7] Shields and Rangarajan (2013) and Granello (2001) link the activities of doing a literature review with Benjamin Bloom's revised taxonomy of the cognitive domain (ways of thinking: remembering, understanding, applying, analyzing, evaluating, and creating). [6] [8]

Use of artificial intelligence in a literature review

Artificial intelligence (AI) is reshaping traditional literature review across various disciplines. [9] Generative pre-trained transformers, such as ChatGPT, are often used by students [10] and academics for review purposes. [11]

Nevertheless, the employment of ChatGPT in academic reviews is problematic due to ChatGPT's propensity to "hallucinate". [12] In response, efforts are being made to mitigate these hallucinations through the integration of plugins. For instance, Rad et al. (2023) used ScholarAI for review in cardiothoracic surgery. [13] [ example needed ]

See also

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Peer review is the evaluation of work by one or more people with similar competencies as the producers of the work. It functions as a form of self-regulation by qualified members of a profession within the relevant field. Peer review methods are used to maintain quality standards, improve performance, and provide credibility. In academia, scholarly peer review is often used to determine an academic paper's suitability for publication. Peer review can be categorized by the type of activity and by the field or profession in which the activity occurs, e.g., medical peer review. It can also be used as a teaching tool to help students improve writing assignments.

<span class="mw-page-title-main">Research</span> Systematic study undertaken to increase knowledge

Research is "creative and systematic work undertaken to increase the stock of knowledge". It involves the collection, organization, and analysis of evidence to increase understanding of a topic, characterized by a particular attentiveness to controlling sources of bias and error. These activities are characterized by accounting and controlling for biases. A research project may be an expansion of past work in the field. To test the validity of instruments, procedures, or experiments, research may replicate elements of prior projects or the project as a whole.

<span class="mw-page-title-main">Meta-analysis</span> Statistical method that summarizes and or integrates data from multiple sources

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<span class="mw-page-title-main">Systematic review</span> Comprehensive review of research literature using systematic methods

A systematic review is a scholarly synthesis of the evidence on a clearly presented topic using critical methods to identify, define and assess research on the topic. A systematic review extracts and interprets data from published studies on the topic, then analyzes, describes, critically appraises and summarizes interpretations into a refined evidence-based conclusion. For example, a systematic review of randomized controlled trials is a way of summarizing and implementing evidence-based medicine.

Evidence-based practice is the idea that occupational practices ought to be based on scientific evidence. The movement towards evidence-based practices attempts to encourage and, in some instances, require professionals and other decision-makers to pay more attention to evidence to inform their decision-making. The goal of evidence-based practice is to eliminate unsound or outdated practices in favor of more-effective ones by shifting the basis for decision making from tradition, intuition, and unsystematic experience to firmly grounded scientific research. The proposal has been controversial, with some arguing that results may not specialize to individuals as well as traditional practices.

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<span class="mw-page-title-main">Review article</span> Summary of the understanding on a topic

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<span class="mw-page-title-main">Plagiarism</span> Using another authors work as if it was ones own original work

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References

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  3. Bolderston, Amanda (June 2008). "Writing an Effective Literature Review". Journal of Medical Imaging and Radiation Sciences. 39 (2): 86–92. doi: 10.1016/j.jmir.2008.04.009 . PMID   31051808.
  4. Torraco, Richard J. (December 2016). "Writing Integrative Literature Reviews: Using the Past and Present to Explore the Future". Human Resource Development Review. 15 (4): 404–428. doi:10.1177/1534484316671606. ISSN   1534-4843. S2CID   152155091.
  5. George, Bert; Andersen, Lotte B.; Hall, Jeremy; Pandey, Sanjay K (December 2023). "Writing impactful reviews to rejuvenate public administration: A framework and recommendations". Public Administration Review. 83 (6): 1517–1527. doi: 10.1111/puar.13756 .
  6. 1 2 Shields, Patricia; Rangarjan, Nandhini (2013). A Playbook for Research Methods: Integrating Conceptual Frameworks and Project Management. Stillwater, Oklahoma: New Forums Press. ISBN   978-1-58107-247-1.
  7. Baker, P. (2000). "Writing a Literature Review". The Marketing Review. 1 (2): 219–247. doi:10.1362/1469347002529189.
  8. Granello, D. H. (2001). "Promoting cognitive complexity in graduate written work: Using Bloom's taxonomy as a pedagogical tool to improve Literature Reviews". Counselor Education & Supervision. 40 (4): 292–307. doi:10.1002/j.1556-6978.2001.tb01261.x.
  9. Wagner, Gerit; Lukyanenko, Roman; Paré, Guy (2022). "Artificial intelligence and the conduct of literature reviews". Journal of Information Technology. 37 (2): 209–226. doi: 10.1177/02683962211048201 . ISSN   0268-3962.
  10. "What Students Are Saying About ChatGPT". The New York Times. 2023-02-02. Retrieved 2023-08-14.
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  12. Alkaissi, Hussam; McFarlane, Samy I.; Alkaissi, Hussam; McFarlane, Samy I. (2023-02-19). "Artificial Hallucinations in ChatGPT: Implications in Scientific Writing". Cureus. 15 (2): e35179. doi: 10.7759/cureus.35179 . ISSN   2168-8184. PMC   9939079 . PMID   36811129.
  13. Rad, Arian Arjomandi; Nia, Peyman Sardari; Athanasiou, Thanos (2023). "ChatGPT: revolutionizing cardiothoracic surgery research through artificial intelligence". Interdisciplinary CardioVascular and Thoracic Surgery. 36 (6). doi:10.1093/icvts/ivad090. ISSN   2753-670X. PMC   10287897 . PMID   37349973.

Further reading