![]() Cross-sectional Data (Quantitative or Qualitative): Cross-sectional data is data collected from different subjects at a single point in time.This can provide valuable clues regarding the stability of personality characteristics or intellectual abilities. Researchers will administer the same measurement tool at different points in the participants’ lifespan. Longitudinal Research Data (Quantitative or Qualitative): This strategy for acquiring empirical evidence involves collecting data on a particular trait over a long period of time.Many consider this type of research as the most scientifically sound method of attaining empirical evidence. By manipulating the level of one variable and observing changes in another, the researcher can draw conclusions regarding causality. Experimental Lab Data (Quantitative) : Randomly assigning research participants to receive different treatments is a hallmark of scientific research.Those words can then be coded along a variety of dimensions to develop trends across a textual dataset ( also known as textual analysis and thematic analysis). ![]() Textual Data (Quantitative or Qualitative): Although it is not possible to read people’s minds yet, the next best thing is to ask people to write their thoughts down on paper.This data is empirical and may be very sound, but its lack of population-level relevance limits is usability. Case Study Data (Qualitative): Sometimes the first step to understanding a psychological disorder is to thoroughly examine how it is manifest in a single individual.However, if the observation is made only once and future studies do not support claims made by the original observer, it may slip into the category of anecdotal evidence. ![]() It can pass as empirical evidence if it’s repeatable over time and renders similar results.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |