Prof. Dr. Sugiyono: Desain Penelitian Mixed Methods-Eps.1 @Suyantoid

Summary

In this insightful discussion, Dr. Sugiyono explains the significance of mixed-method research (MixMeter), combining both quantitative and qualitative approaches to offer a more comprehensive understanding of research problems. He highlights how this method, emerging in the 1990s, enriches data by integrating numerical measurement with human experience and context. Dr. Sugiyono outlines various research designs, including sequential and simultaneous combinations of data collection, emphasizing the advantages of increased validity and richer insights. With the support of advanced software tools like SPSS and Atlas.ti, mixed-methods research is positioned as the future of research, especially in fields like education.

Takeaways

• 😀 The importance of combining quantitative and qualitative research methods to get a more complete and accurate set of data.
• 😀 Mixed-methods research, also known as 'Mix Meter' or 'Hybrid Research', integrates both qualitative and quantitative perspectives for a more comprehensive understanding of research problems.
• 😀 The concept of 'novelty' in research—this can come from exploring new aspects of a problem, using new research locations, or applying new methods like mixed-methods research.
• 😀 Mixed-methods research enables researchers to gather both numerical (quantitative) and descriptive (qualitative) data, resulting in more thorough findings.
• 😀 There are four main research designs for combining quantitative and qualitative methods: sequential explanatory, sequential exploratory, simultaneous mixed methods with equal weighting, and simultaneous mixed methods with unequal weighting.
• 😀 In a **sequential explanatory design**, the researcher first collects quantitative data and then follows up with qualitative methods to explain or explore the results in greater depth.
• 😀 In a **sequential exploratory design**, qualitative methods are used initially to explore a problem, followed by quantitative methods to measure or validate the findings.
• 😀 **Simultaneous mixed methods** involve applying both quantitative and qualitative methods at the same time, with one method often being more dominant than the other.
• 😀 The use of software tools like **Atlas.ti** (qualitative), **SPSS**, **PLS**, and **electrical analysis software** (quantitative) is critical for analyzing mixed-methods research data effectively.
• 😀 The adoption of mixed-methods research is increasing in academia, particularly in the fields of education and social sciences, as it allows researchers to approach problems from multiple angles and gain deeper insights.

Q & A

What is the main focus of Dr. Sugiyono's discussion in this video?

Dr. Sugiyono focuses on explaining mixed methods research, also known as 'Penelitian Kombinasi,' which combines qualitative and quantitative research approaches to provide more complete and accurate data in research studies.

Why is mixed methods research important in contemporary research?

Mixed methods research is important because it allows researchers to approach a research problem from both qualitative and quantitative perspectives, leading to a more comprehensive understanding of the subject being studied. It also provides a way to triangulate data, ensuring richer and more reliable findings.

How does mixed methods research contribute to the completeness of research data?

By combining qualitative and quantitative methods, mixed methods research ensures that data is collected from different angles. Quantitative data can be supported by qualitative insights, and vice versa, leading to more complete and nuanced findings that would not be achieved by using just one method.

What is the historical context of mixed methods research?

Mixed methods research became more popular in the 1990s as scholars realized that research subjects often contain both quantitative and qualitative elements. Since then, it has been increasingly recognized and integrated into research literature as a valuable methodological approach.

What role do software tools like SPSS, Atlas.ti, and PLS play in mixed methods research?

Software tools such as SPSS, Atlas.ti, and PLS are used to analyze the quantitative and qualitative data collected in mixed methods research. These tools facilitate data analysis and help researchers draw meaningful conclusions from both types of data.

What are the key innovations in research methodology discussed in the video?

The key innovation discussed is the introduction of mixed methods research as a new approach to data collection and analysis. This innovation allows researchers to combine both qualitative and quantitative techniques in a single study, providing a more holistic view of the research problem.

What are the different designs for combining qualitative and quantitative methods in mixed methods research?

There are several designs for combining qualitative and quantitative methods: sequential explanatory design (quantitative followed by qualitative), sequential exploratory design (qualitative followed by quantitative), and concurrent design (both methods used simultaneously). Each design has its own strengths depending on the research goals.

How does the sequential explanatory design work in mixed methods research?

In a sequential explanatory design, researchers first collect and analyze quantitative data, and then follow up with qualitative data collection to explain or further explore the quantitative findings. This design allows for deeper understanding and clarification of the numerical results.

What is the difference between sequential explanatory and sequential exploratory designs?

In the sequential explanatory design, the quantitative method is conducted first, followed by qualitative research to explain the findings. In contrast, the sequential exploratory design starts with qualitative research to explore the problem, and then uses quantitative methods to measure or validate the findings.

What is the significance of determining the 'dominant' and 'secondary' methods in mixed methods research?

Determining the dominant and secondary methods helps clarify the main focus of the research and ensures that the methods are applied effectively. The dominant method is the one that drives the study, while the secondary method complements it. This balance ensures that both methods contribute meaningfully to the research findings.