Pr2

Cards (17)

  • Quantitative Research From its root word quantity, which means the "amount of" or "number of," quantitative research deals with numerals and how it can describe a phenomenon or infer a relationship. 
  • Quantitative research is the go-to approach for scientific inquiry because of its ability to test hypotheses. 
  • The relationship of different factors that we see creates a clearer picture of what is happening around us. These factors can also be called variables, which are the basis for formulating and testing hypotheses. 
  • Variables are traits that numerically describe or give meaning to an object, phenomenon, or group of people.
  • An independentvariable is the cause; this is the variable that changes or manipulated by the experimenter. The IV is usually the focus of the hypothesis being tested.
  • A variable is any factor that may affect the outcome of your investigation.
  • A dependent variable is the effect; this is the variable that responds to the change made on the IV. It is the outcome of the experiment.
  • In randomized experiments, participants are randomly assigned to either the treatment or control group using a process such as flipping a coin or drawing numbers out of a hat.
  • Controllability. To understand a specific relationship or phenomenon, quantitative research should be in an environment where all variables are identified and can be  controlled 
  • Generalizability. It is from larger sample sizes that the results are based on as a representative of the population. 
  • Objectivity. The results of the data are observable and measurable using structured instruments. 
  • Replicability. The research study should be replicable by other teams of researchers that will eventually come up with similar outcomes. 
  • Descriptive quantitative research is an example of a nonexperimental research design. The focus of this research design is to describe factors, variables, or phenomena that occur in nature. 
  • Comparative Research
    This is another example of a nonexperimental research design. The primary objective is to compare two variables 
  • Correlational Research This is another example of a nonexperimental research design. Its primary objective is to compare two variables then identify the relationship between them. 
  • Quasi-experimental research mirrors experimental research, but it is not true experimental research where a causal relationship can be determined with the use of dependent and independent variables. 
  • true experimental research design is to identify a cause-effect relationship between the variables where the samples are randomized.