Types of Errors in Quantitative Research

In this video session, Evelyn Hendriana, S.E., M.Si., Ph.D., discusses quantitative research and specifies the type of errors that researchers may face during data analysis.

Quantitative research involves testing theories using quantifiable data, often obtained through surveys or experiments. However, the research instruments used can contain both systematic and random errors. Systematic errors, or bias, are inaccuracies in the measurement process itself and can lead to incorrect conclusions. Random errors, also known as sampling errors, occur due to chance and affect the precision of the results. Using the analogy of target shooting, systematic errors are like consistently missing the target, while random errors are like shots scattering around the target. An example given in the video is temperature readings from various studies, where random errors result in varying temperatures, while systematic errors can lead to inaccurate and imprecise measurements. These errors can significantly impact the validity and reliability of quantitative research findings.