technical terms

Cards (75)

  • research - an art of scientific investigation
  • research - careful and detailed study into a specific problem, concern or issue using the scientific method
  • research - regarded as a systematic efforts to gain new knowledge
  • research - careful investigation or enquiry especially through search for new facts in any branch of knowledge[dictionary meaning]
  • research - an organized and systematic way of finding answers to questions
  • systematic - because there is definite set of procedures and steps which will you follow. There are certain things in the research process which are always done in order to get the most accurate results
  • organized - in that there is a structure or method in going about doing research. It is a planned procedure, not a spontaneous one. It is focused and limited to a specific scope
  • questions - are central to research. If there is no question, then the answer is of no use. Research is focused on relevant, useful and important questions.
  • without a question, research has no focus, drive or purpose
  • research paper - piece of academic writing that provides analysis, interpretation, and argument based on depth independent research
  • abstract - short summary of your completed research
  • abstract - intended to describe your work without going into detail
  • abstract - should be self-contained and concise, explaining your work as briefly and clearly as possible
  • introduction - the next part after the title and abstract
  • introduction - it leads the reader from a general subject area to a particular topic of inquiry
  • introduction - it establish the scope, context, and significance of the research being conducted by
  • introduction - summarizing current understanding and background information about the topic
  • introduction - stating the purpose of the work in the form of the research problem supported by a hypothesis or a set of questions
  • introduction - explaining briefly the methodological approach used to examine the research problem
  • introduction - highlighting the potential outcomes your study can reveal
  • introduction - outlining the remaining structure and organization of the paper
  • literature review - provides an overview of sources you have explored including books, scholarly articles, and any other sources relevant to a particular issue, area of research, or theory to demonstrate to your readers how your research fits within a larger field of study
  • literature review - provides an overview of current knowledge, allowing you to identify relevant theories, methods, and gaps in the existing research
  • hypothesis - a statement of expectation or prediction that will be tested by research
  • hypothesis - commonly known as the researcher's intellectual guess or wild guess about the possible result of the study
  • methodology - the systematic method to resolve a research problem through data gathering using various techniques, providing an interpretation of data gathered, and drawing conclusions about the research data
  • methodology - aim is to ensure valid and reliable results that address the research aims and objectives
  • methodology - it is where the researcher will decide what data to collect[ and what data to ignore ], who to collect it from[ in research, this is called "sampling design", how to collect it[ this is called "data collection methods" ] and how to analyze it [ this is called "data analysis methods" ]
  • population - the entire group that you want to draw conclusions about
  • population - in research, it doesn't always refer to people
  • population - it can mean a group containing elements of anything you want to study, such as objects, events, organizations, countries, species, organisms, etc
  • sample - smaller part or subgroup of the population
  • sample - specific group within a population that you will collect data from
  • sample - group of individuals who will participate in your study. They are the ones who will answer surveys or interviews
  • necessity, practicality, cost-effectiveness, manageability - reasons for sampling
  • necessity - sometimes its simply not possible to study the whole population due to its size or inaccessibility
  • practicality - it's easier and more efficient to collect data from a sample
  • cost-effectiveness - there are fewer participants, laboratory equipment, and researcher costs involved
  • manageability - storing and running statistical analyses on smaller datasets is easier and reliable
  • respondents, participants, subjects - three parts of sample