TL;DR — Quick Answer A thesis statement is a single sentence (sometimes two) that states the central argument or main point of an essay or paper. It appears near the end of the introduction and tells the reader what you will argue and why. A strong thesis statement is specific, arguable (not just a fact), […]
Read More →TL;DR — Quick Answer Academic writing is the formal, structured style of writing used in scholarly work — research papers, theses, essays, and journal articles. Its key features are formality, objectivity, clarity, precision, evidence-based argument, proper structure, and correct citation. Academic writing is impersonal and precise, avoids casual language and unsupported claims, supports every assertion […]
Read More →TL;DR — Quick Answer An experiment is a research method in which the researcher manipulates one or more variables (independent variables) and measures the effect on other variables (dependent variables), while controlling other factors. It is the strongest method for establishing cause and effect. Key features include manipulation of variables, control of other factors, and […]
Read More →TL;DR — Quick Answer A survey is a research method for collecting data from a sample of people through a structured set of questions, in order to describe characteristics, attitudes, behaviours, or opinions of a larger population. Surveys can be conducted online, by phone, by mail, or in person, and use questionnaires with closed or […]
Read More →TL;DR — Quick Answer A case study is a research method that investigates a single case — an individual, group, organisation, event, or situation — in depth and within its real-world context. It aims to provide rich, detailed understanding of the case rather than to generalise statistically. Case studies use multiple sources of evidence (interviews, […]
Read More →TL;DR — Quick Answer Research limitations are the shortcomings, constraints, and weaknesses of a study that may affect its results or how far they can be generalised. Common limitations include small or non-representative samples, methodological constraints, limited scope, time and resource constraints, and measurement limitations. To write them: honestly identify the genuine limitations, explain how […]
Read More →TL;DR — Quick Answer Correlation means two variables are related — they tend to change together. Causation means one variable actually causes a change in the other. The crucial principle is that correlation does not imply causation: just because two things are related does not mean one causes the other. A correlation can arise from […]
Read More →TL;DR — Quick Answer Statistical significance indicates whether a result is likely to reflect a real effect rather than random chance. It is assessed using the p-value — the probability of obtaining the observed result (or a more extreme one) if there were truly no effect. A common threshold is p < 0.05, meaning less […]
Read More →TL;DR — Quick Answer Data analysis is the process of examining, cleaning, organising, and interpreting data to extract meaningful insights and answer research questions. Quantitative data analysis uses statistical methods — descriptive statistics (summarising data) and inferential statistics (drawing conclusions and testing hypotheses). Qualitative data analysis uses interpretive methods like thematic analysis to identify patterns […]
Read More →TL;DR — Quick Answer A research question is the specific question a study sets out to answer — the central question that guides the entire research. To write a good one: derive it from your research problem and gap, make it clear, specific, and focused, ensure it is researchable and answerable through evidence, and match […]
Read More →