Which types of analysis are commonly performed in quantitative studies?

In quantitative studies, researchers focus on numerical data and statistical analysis to draw conclusions. Descriptive statistics provide a summary of the data, allowing researchers to understand patterns such as central tendency and variability. T-tests help determine whether there are significant differences between the means of two groups, while ANOVA (Analysis of Variance) allows for comparisons among three or more groups. Regression analysis assesses the relationship between variables and can predict outcomes, while correlation measures the strength and direction of relationships between two variables.

These analyses are foundational in quantitative research, helping to validate hypotheses and ensure that findings are reliable and generalizable. The emphasis on statistical methods distinguishes quantitative analysis from qualitative approaches, which center on themes and narratives.