Why is validity and reliability important in quantitative research?

Why is validity and reliability important in quantitative research?

The measurement error not only affects the ability to find significant results but also can damage the function of scores to prepare a good research. The purpose of establishing reliability and validity in research is essentially to ensure that data are sound and replicable, and the results are accurate.

Why is quantitative research reliable?

Both qualitative and quantitative research methods have their flaws. However, it is imperative to note that quantitative research method deals with a larger population and quantifiable data and will, therefore, produce a more reliable result than qualitative research.

What is quantitative research purpose?

The purpose of quantitative research is to generate knowledge and create understanding about the social world. Using scientific inquiry, quantitative research relies on data that are observed or measured to examine questions about the sample population.

What are the characteristics of a quantitative research?

Characteristics of Quantitative Research

  • The data is usually gathered using structured research instruments.
  • The results are based on larger sample sizes that are representative of the population.
  • The research study can usually be replicated or repeated, given its high reliability.

What is a mixed method?

The term “mixed methods” refers to an emergent methodology of research that advances the systematic integration, or “mixing,” of quantitative and qualitative data within a single investigation or sustained program of inquiry. Collecting and analyzing both quantitative (closed-ended) and qualitative (open-ended) data.

What is a mixed methods research design?

A mixed methods design is characterized by the combination of at least one qualitative and one quantitative research component. Mixed methods research is the type of research in which a researcher or team of researchers combines elements of qualitative and quantitative research approaches (e.

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