1. Sample = group of people, objects, or items that are taken from a larger population for measurement. The sample should be representative of the population to ensure findings can be generalized from the research sample to the population as a whole.
2. Probability sampling: Probability sampling is defined as a sampling technique in which the researcher chooses samples from a larger population using a method based on the theory of probability. For a participant to be considered as a probability sample, he/she must be selected using a random selection.
3. Nonprobability sampling: Non-probability sampling is defined as a sampling technique in which the researcher selects samples based on the subjective judgment of the researcher rather than random selection. It is a less stringent method. This sampling method depends heavily on the expertise of the researchers. It is carried out by observation.
F. Oguz, personal communication, May 22, 2019.
Generally speaking, quantitative research seeks to understand the relationship between variables through testing hypotheses. Qualitative research hopes to understand a phenomenon through the use of interviews and real-world observation. Both types of research are valid; however, certain research topics are better suited to one approach or the other. It is important to understand the differences between these two types of research so that you will be able to effectively analyze any articles that you read. Because you will understand the different advantages and disadvantages of each approach, you will be better prepared to critique the articles you read.
What is Quantitative Research?
Purpose?
Sample Size
Types of Data
F. Oguz, personal communication, May 22, 2019.
What is Qualitative Research?
Purpose
Sample Size
Types of Data
F. Oguz, personal communication, June 10, 2019.
Unowacademics. (2014 May 19). UniversityNow: Quantitative vs. qualitative research [Video]. YouTube. https://youtu.be/bCuwX35MHyE
