Quantitative analysis is a structured process that involves several stages to ensure the accuracy and reliability of research findings. The first stage involves starting with a theory, which forms the basis of the research and provides a framework for understanding the phenomenon under investigation. This is followed by the development of a hypothesis, which is a testable statement that predicts the relationship between variables.
Once the hypothesis is formulated, the next stage is research design, where the researcher plans how to test the hypothesis effectively. This includes determining the operationalization of concepts, which involves defining variables in measurable terms. Subsequently, the researcher selects a research site and determines the appropriate sampling method to ensure the representativeness of the data collected.
After the data collection phase, the focus shifts to data processing and analysis. This involves organizing and cleaning the data, followed by applying appropriate statistical techniques to test the hypothesis and draw meaningful conclusions. Finally, the researcher presents the findings and conclusions derived from the analysis and publishes the results to contribute to the existing body of knowledge.
(Response: The stages of quantitative analysis include starting with a theory, developing a hypothesis, research design, operationalizing concepts, selecting a research site, sampling, data collection, data processing, data analysis, findings/conclusion, and publishing results.)