kvantitatiivsetesse

Kvantitatiivsetesse refers to quantitative methods in Latvian. Quantitative research is a research strategy that quantifies attitudes, opinions, behaviors, and other variables – and generalizes results from a larger sample population. It involves collecting and analyzing numerical data. This approach is often used to test theories or hypotheses, establish relationships between variables, and make predictions.

The process typically begins with a clearly defined research question or hypothesis. Data is collected using structured instruments such as surveys with closed-ended questions, experiments, or by analyzing existing statistical data. The collected data is then analyzed using statistical techniques. These techniques can range from simple descriptive statistics like means and frequencies to more complex inferential statistics like regression analysis or hypothesis testing. The goal is to identify patterns, trends, and statistical significance.

Quantitative methods are valued for their objectivity, replicability, and ability to generalize findings to larger populations. They are widely used in fields such as social sciences, economics, marketing, and public health. The emphasis is on measurement, numerical analysis, and the pursuit of generalizable laws or principles. This contrasts with qualitative research, which focuses on understanding experiences, meanings, and perspectives through non-numerical data.