Quantitative research is a powerful way to gather numerical data and test hypotheses, but it also requires careful planning and execution to avoid common data collection errors.

Learn the basic steps to preprocess quantitative research data and why they are important for data quality and validity. Preprocessing involves preparing, cleaning, and transforming data for analysis.

QUANTITATIVE RESEARCH – Below is a guide on the characteristics and data-gathering methods under this research approach. There are two (2) main approaches in doing a research study – the quantitative ...

Qualitative research in dentistry This paper explores the most common methods of data collection used in qualitative research: interviews and focus groups. The paper examines each method in detail ...

Methods of data collection used in qualitative research differ from those used in quantitative research because of a fundamental epistemological difference which underpins qualitative and ...

Compared with other research methodology books, such as those that classify data collection methods according to whether the data are primary or secondary (e.g., Kothari, 2004) or quantitative or ...

Qualitative research can offer important benefits for studies that involve special populations, including those that are traditionally underrepresented in research and those with low literacy. 42 ...

In previous posts I shared here and elsewhere, I discussed both qualitative research and quantitative research and in this post, I talk about mixed methods research. I also created an illustrative ...

"The book is very simplistically written and, I consider that undergraduate students would find maximum chapters easy to comprehend and apply. I strongly recommend Qualitative Methodologies and Data ...