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Either way, a literature review provides the researcher/author and the audiences with general information of an existing knowledge of a particular topic. A good literature review has a proper research question, a proper theoretical framework, and/or a chosen research methodology. It serves to situate the current study within the body of the ...
The answer to a research question will help address a research problem or question. [5] Specifying a research question, "the central issue to be resolved by a formal dissertation, thesis, or research project," [6] is typically one of the first steps an investigator takes when undertaking research.
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. [1] A systematic review extracts and interprets data from published studies on the topic (in the scientific literature), then analyzes, describes, critically appraises and summarizes interpretations into a refined evidence-based ...
Operational definition: Details in regards to defining the variables and how they will be measured/assessed in the study. Gathering of data: Consists of identifying a population and selecting samples, gathering information from or about these samples by using specific research instruments. The instruments used for data collection must be valid ...
A strong research design yields valid answers to research questions while weak designs yield unreliable, imprecise or irrelevant answers. [ 1 ] Incorporated in the design of a research study will depend on the standpoint of the researcher over their beliefs in the nature of knowledge (see epistemology ) and reality (see ontology ), often shaped ...
It details the aims, hypothesis, and research method clearly so as to remain transparent and neutral. [6] This review format adheres to explicit criteria when selecting what research is included in the review. Common methods used to analyse selected research articles include text mining, citation, co-citation analysis, and topic modelling ...
The main conclusions and recommendations (i.e., how the work answers the proposed research problem). It may also contain brief references, [20] although some publications' standard style omits references from the abstract, reserving them for the article body (which, by definition, treats the same topics but in more depth).
Accurate analysis of data using standardized statistical methods in scientific studies is critical to determining the validity of empirical research. Statistical formulas such as regression, uncertainty coefficient , t-test, chi square , and various types of ANOVA (analyses of variance) are fundamental to forming logical, valid conclusions.