Explanatory research is necessary to understand the underlying reasons and relationships between factors and events. It helps researchers uncover the "why" behind phenomena, providing insights for decision-making, problem-solving, and theory development. By explaining relationships and determining causality, explanatory research enhances understanding and can lead to practical applications in various fields.
A necessary activity during the information-collecting phase of the research process is conducting a thorough literature review to gather existing knowledge and research on the topic. This helps to identify gaps in the current understanding and informs the direction of the study.
Dual-use research refers to scientific research that can be used for both beneficial purposes, such as advancements in medicine or technology, and potentially harmful purposes, such as the creation of biological weapons. Scientists conducting dual-use research must carefully consider the ethical implications and potential risks associated with their work.
During the information-collecting phase of research, it is necessary to review relevant literature, gather data from various sources, and critically evaluate the information to ensure its reliability and relevance to the research topic. Additionally, it is important to document and organize the collected information properly for future reference and analysis.
Parentheses or footnotes are commonly used to enclose information or explanatory material that is not crucial to the main content. These elements allow for additional context without disrupting the flow of the main text.
You can apply research in reporting by ensuring that your information is accurate and credible. Use research to fact-check your stories, provide evidence to support your claims, and add depth and context to your reporting. By conducting thorough research, you can enhance the quality and reliability of your reporting.
Explanatory research aims to explain why something happens, while descriptive research focuses on describing a phenomenon without explaining it.
Explanatory research is research conducted in order to explain any behaviour in the market. It could be done through using questionnaires, group discussions, interviews, random sampling, etc.
Yes, causation is a central focus of explanatory research. Explanatory research aims to understand the relationships between variables and uncover the causes behind certain phenomena or outcomes. It seeks to explain why certain events occur and how variables are connected to each other.
Some disadvantages of explanatory research include limited generalizability of results due to small sample sizes, potential bias in data collection and analysis, and difficulty in establishing causation between variables. Additionally, explanatory research may be time-consuming and resource-intensive.
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Explanatory theory in psychology is based on it's research methodology. They are also called descriptive theories. An explanatory theory attempts to explain a phenomenon in terms of established theories in a field, in this case, psychology.
Explanatory research is superior to predictive research when the goal is to understand the underlying reasons and relationships between variables, rather than solely making predictions based on data patterns. Explanatory research helps in uncovering insights and providing a deeper understanding of the phenomenon being studied. It is especially useful when prior knowledge is limited and when the research aims to explain causality rather than focusing on forecasting future outcomes.
Yes, you can use first person in a research paper, but it is generally recommended to use it sparingly and only when necessary to clarify your perspective or experiences.
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An example of explanatory research could be a study investigating the impact of social media usage on mental health by examining the potential mechanisms underlying this relationship. A descriptive research example might involve a survey to gather information about people's shopping habits without seeking to establish causal relationships.
Self explanatory.. Don't use strikes?
Use iWeb. It is a pretty self-explanatory.