Summary
Highlights
The 'Literature Review' provides an overview of explored sources, demonstrating how the current research fits within a larger field of study. It helps identify relevant theories, methods, and gaps in existing research, analyzing and synthesizing information rather than just summarizing.
The video introduces the objective of distinguishing technical terms used in research, preparing students to compose a research report on a relevant social issue. It highlights that writing a research paper can be challenging and aims to guide students through the process by first familiarizing them with common technical terms.
The first term defined is 'Research,' described as an art of scientific investigation, a careful and detailed study into a specific problem or issue using the scientific method. It's an organized and systematic way of finding answers to relevant, useful, and important questions, with a definite set of procedures to ensure accurate results.
A 'Research Paper' is defined as a piece of academic writing that provides analysis, interpretation, and argument based on in-depth, independent research.
The 'Abstract' is explained as a short, self-contained, and concise summary of completed research. Its primary function is to help readers decide if they are interested in reading the entire research paper.
The 'Introduction' follows the title and abstract, guiding the reader from a general subject area to a specific topic. It establishes the scope, context, and significance of the research, states the purpose as a research problem, outlines the methodological approach, and highlights potential outcomes.
'Population' refers to the entire group about which conclusions are drawn, extending beyond just people to include objects, events, or organisms. A 'Sample' is a smaller subgroup of the population from which data is collected, comprising the individuals participating in the study. Reasons for sampling include necessity, practicality, cost-effectiveness, and manageability.
The video further categorizes sample individuals: 'Respondents' answer questions in surveys, 'Participants' engage more actively in qualitative studies like interviews, and 'Subjects' are individuals in experiments, typically quantitative research, often in a more passive role.
A 'Variable' is any factor, trait, or condition that can be manipulated, controlled, or measured in an experiment. The 'Independent Variable' is changed or manipulated and directly affects the 'Dependent Variable,' which responds to these changes and is the variable being tested and measured.
A 'Research Instrument' is any tool used to collect, obtain, measure, and analyze data relevant to the research, such as questionnaires, surveys, interviews, or tests. A 'Questionnaire' is specifically highlighted as the main instrument for collecting data in survey research, consisting of standardized questions.
'Data' refers to any information collected, observed, or generated to validate research findings. The 'Results' (or findings) section of a paper presents this collected data. The 'Discussion' section interprets and describes the significance of these findings, relating them to existing knowledge, considering alternative explanations, acknowledging limitations, and suggesting further research.
The 'Conclusion' wraps up ideas, restates the research problem, summarizes arguments, and suggests key takeaways. 'References' is the final page listing all sources used and giving credit to authors. The 'Appendix' serves as a space for clarifying materials not in the main text, such as interview transcripts or questionnaires.
A 'Hypothesis' is a statement of expectation or prediction that will be tested by research, often referred to as the researcher's intellectual guess about the study's possible results. Examples are provided to illustrate testable hypotheses, such as the effect of sleep quality on academic performance.
The 'Methodology' is the systematic method to resolve a research problem through data gathering, interpretation, and drawing conclusions. It encompasses decisions on what data to collect, from whom (sampling design), how to collect it (data collection methods), and how to analyze it (data analysis methods).