The most appropriate research method for establishing a cause-and-effect relationship is a randomized controlled trial. This experimental design involves randomly assigning participants to different groups, with one group receiving the treatment (cause) and another group serving as a control. By comparing the outcomes between the two groups, researchers can determine whether the treatment caused the observed effect.
Casual-comparative research method is a type of research design that involves examining the relationship between variables without manipulating them. It aims to determine if there is a cause-and-effect relationship between the variables being studied. This method is also known as quasi-experimental research.
An experimental research method can best establish a cause and effect relationship. By manipulating an independent variable and observing its effect on a dependent variable while controlling for other variables, researchers can determine a causal relationship between the variables. Random assignment of participants to different conditions helps minimize bias and increase internal validity.
Experimental research methods, such as randomized controlled trials, are best suited to demonstrate cause and effect relationships. By manipulating an independent variable and measuring its effect on a dependent variable while controlling for confounding variables, researchers can establish a causal relationship between variables.
Correlational research method assesses the relationship between two variables without implying causation. It examines how changes in one variable are associated with changes in another variable.
Experimental research is the technique that can provide cause-effect answers as it involves manipulating an independent variable to observe its effect on a dependent variable while controlling for other variables. This allows researchers to establish a causal relationship between the variables being studied.
The transition "therefore" is most appropriate to show a cause-and-effect relationship. It indicates that one event or action directly leads to another as a result.
Sociologists often use experimental research techniques to determine possible cause-and-effect relationships. This involves manipulating one variable (the independent variable) to see how it affects another variable (the dependent variable), while controlling for other factors that could influence the outcome. This approach helps to establish more definitive connections between variables in sociological studies.
An experiment
random sample
The experimental method allows researchers to establish cause-and-effect relationships by manipulating variables and controlling for confounding factors. This method provides more control over the research setting, increasing internal validity compared to non-experimental methods.
Correlational research method assesses the relationship between two variables without implying causation. It examines how changes in one variable are associated with changes in another variable.
How does alcohol effect a relationship? How does alcohol effect a relationship?
Ex-post facto research measures the cause and effect relationship without manipulating the independent variable. While the experimental research starts from manipulating and controlling the independent variables and proceeds to observing the effect on the dependent variables.
An experimental research method can best establish a cause and effect relationship. By manipulating an independent variable and observing its effect on a dependent variable while controlling for other variables, researchers can determine a causal relationship between the variables. Random assignment of participants to different conditions helps minimize bias and increase internal validity.
Cohort, case control, and cross sectional
Ex-post facto research measures the cause and effect relationship without manipulating the independent variable. While the experimental research starts from manipulating and controlling the independent variables and proceeds to observing the effect on the dependent variables.
A good starting point to research and very good at showing relationship between variables but doesn't demonstrate cause and effect