Quantitative research focuses on collecting and analyzing numerical data to test hypotheses, make generalizations, and establish cause-effect relationships.

Qualitative research aims to understand and interpret individual experiences, beliefs, and behaviors in their natural context.

Interviews are widely used in qualitative research to collect in-depth information from individuals through face-to-face or virtual conversations.

Quantitative research primarily collects numerical data that can be statistically analyzed and used to test hypotheses.

Regression analysis is a statistical method used in quantitative research to determine the relationship between independent and dependent variables.

Qualitative research aims to explore and understand individual experiences, perspectives, and meanings in their natural context.

Thematic analysis is a widely used qualitative data analysis method that involves identifying and interpreting patterns and themes in textual or visual data.

In quantitative research, a hypothesis is a statement that predicts the outcome of a study and guides the data collection and analysis process.

Qualitative research is more suitable for studying individual experiences and understanding the complexities of human behavior due to its focus on in-depth exploration and interpretation.

In quantitative research, a control group is used to eliminate the effects of confounding variables and isolate the impact of the independent variable on the dependent variable.

Random sampling is a widely used sampling method in quantitative research to ensure that the sample is representative of the population and that findings can be generalized.

The primary goal of quantitative research is to test hypotheses, make generalizations, and establish cause-effect relationships through the analysis of numerical data.

In qualitative research, the researcher actively engages with and influences the research participants to gain a deeper understanding of their experiences and perspectives.

Surveys are widely used in quantitative research to collect numerical data from a large number of participants.

The primary purpose of using quantitative research methods is to test hypotheses, make generalizations, and establish cause-effect relationships through the analysis of numerical data.