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What else can I help you with?
What type of research study requires the largest sample size?
Correlational or Experimental or maybe Grounded Theory and possibly even Phenomenology.
What kind of research is needed to establish a cause-and-effect relationship between two variables?
You need to set up an experimental study. The variable which is the cause should be randomly assigned and the effect variable is then observed. Other study designs can only tell you that there is a link or correlation, but not necessarily a causal relation.
What is a correlational design?
It is a large wooden ship, probably made in the 1700's.
What can be used to show a cause and effect between two variables?
A controlled experiment can be used to show a cause and effect relationship. ex: an experiment studying the effect of a certain medicine on patients.
What are the three basic research designs?
Three basic research designs are experimental, correlational, and quasi-experimental.Experimental designs have random assignment to conditions. Correlational designs define the relationship between two measured values. Quasi-experimental designs have participants grouped on a variable that isn't manipulated.
What type of research study can suggest likely associations but not cause-and-effect relationships?
correlational
What type of research study can suggest likely associations but cannot establish cause-and-effect relationships?
Correlational researches
A major disadvantage of correlational research is that?
It cannot be used to demonstrate cause and effect relationships.
Is Sandra L Bem's study on androgyny considered to be correlational or experimental?
Correlational
Why is the correlational method even considered if the experimental method is the only research method that identifies cause and effect?
While the experimental method is ideal for determining cause and effect, the correlational method is still valuable for studying relationships between variables when it's not feasible or ethical to manipulate them. Correlational studies can provide useful information about associations between variables and generate hypotheses for further experimental research.
Is correlational study qualitative or quantitative?
quantitative.
What is correlative study?
A correlational study is one where you examine correlations without manipulating any variables.
What methods is most helpful for revealing cause-effect relationships?
Experiments with a control and variable...not correlational studies because they don't ensure that the cause led directly to the "effects"
Does correlational research have a control group?
Correlational research typically does not have a control group, as its primary aim is to examine the relationships between variables rather than to establish cause-and-effect relationships. In correlational studies, researchers analyze data to identify patterns or correlations between variables without manipulating any of them. This means that while correlations can indicate associations, they do not provide evidence of causation or the effect of one variable on another.
Unlike an observational study an experiment can prove?
cause and effect
Why can't we conclude cause-and-effect relationships from correlational data?
Correlational data only indicates that two variables are related, but it does not establish a direction of influence or causation. There could be confounding factors influencing both variables, or it might be that a third variable is responsible for the observed correlation. Additionally, correlation does not imply that one variable changes as a direct result of the other; they could simply be coincidentally related. Thus, without further experimental evidence, we cannot definitively conclude cause-and-effect relationships from correlational data.
Cause and effect conclusions can be drawn from what kind of studies?
Cause and effect conclusions can be drawn from experimental studies, where researchers manipulate an independent variable to observe its effect on a dependent variable. Correlational studies, on the other hand, can only show associations between variables but not causation.
