Researchers use Quantitative Methods to investigate a phenomenon and identify factors for a quantitative study. The goal of Quantitative Methods is to measure and analyse data collected through various methods such as surveys, questionnaires, or polls. It establishes the link between experimental observation and quantitative relationship scientific expression.
– Typically, information gathering instruments request measurable characteristics of the population (e.g., age, the number of kids, instructive status, and financial status).
– The outcomes are dependent on larger sample sizes that are representative of the population.
– Before gathering information, all aspects of the investigation are carefully planned.
– Numbers are used to represent information, and measurements are frequently displayed in tables, diagrams, figures, or other non-printed shapes.
– The project can be used to summarise ideas more broadly, forecast future outcomes, or investigate causal connections.
– The quantitative technique can be repeated in another setting to check or confirm the findings. It emphasises the credibility of pivotal revelations or findings, removing the possibility of erroneous or spurious conclusions.
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Quantitative Methods are research techniques that are commonly used for tabulating and presenting quantitative data. The results of these methods are typically presented in tables and graphs using statistics such as frequencies, percentages, averages, dispersion, and so on. There are four types of quantitative research designs: descriptive, correlational, causal-comparative or quasi-experimental, and experimental.
1. Descriptive research entails determining the basic characteristics of the variables in the dataset. For example, it includes a description of the college students’ tobacco use.
2. Correlation research examines the relationship between two or more variables in data. One can, for example, determine the relationship between the number of hours studied and the marks obtained in a specific exam.
3. The goal of Causal-Comparative or Quasi-Experimental research is to identify the cause-effect relationships between variables. It is employed to investigate the impact of one or more independent variables on the dependent / response variable. This research method, for example, can be used to investigate the effect of gender on statistics achievement.
4. True experimentation, also known as experimental research, entails using a methodology to determine the cause-effect relationship among a set of variables included in a study.
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