What is multi method quantitative research?

What is multi method quantitative research?

Multimethodology or multimethod research includes the use of more than one method of data collection or research in a research study or set of related studies. Another applicable, but less often used label, for multi or mixed research is methodological pluralism.

What are the key features of mixed-method research?

Characteristics Of Mixed Methods Research

• The analysis of both qualitative and quantitative data.
• The collection of both open and closed-ended data (qualitative and quantitative data) in response to research question.
• Persuasive and rigorous procedures for the qualitative and quantitative methods.

What is transformative mixed method?

A transformative paradigm emphasizes the use of qualitative and mixed methods to outline the ecological complexity of a situation and to access the voices of those who have historically been marginalized.

What is explanatory sequential mixed methods?

The mixed-methods sequential explanatory design consists of two dis- tinct phases: quantitative followed by qualitative (Creswell et al. 2003). The qualitative (text) data are collected and analyzed second in the sequence and help explain, or elaborate on, the quantitative results obtained in the first phase.

What is sequential research method?

Sequential research designs include elements of both longitudinal and cross-sectional research designs. Similar to longitudinal designs, sequential research features participants who are followed over time; similar to cross-sectional designs, sequential research includes participants of different ages.

What is an example of exploratory research?

For example: An interview with an employee can give you more insights to find out the degree of job satisfaction, or an interview with a subject matter expert of quantum theory can give you in-depth information on that topic. Focus groups: Focus group is yet another widely used method in exploratory research.

What is the goal of descriptive statistics?

Descriptive statistics can be useful for two purposes: 1) to provide basic information about variables in a dataset and 2) to highlight potential relationships between variables. The three most common descriptive statistics can be displayed graphically or pictorially and are measures of: Graphical/Pictorial Methods.