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What is the difference between descriptive research and correlational research?
Wiki User
∙ 15y ago
Descriptive research usually involves that the data collected are described by parameters like their central tendency (mode, median, mean) and their dispersion (range, interquartile range, standard deviation). Once there is more than one variable to describe one can go a step further in the research process and calculate the relationship between them. Usually it is expressed in terms of a Pearson correlation, which means that a relationship is expressed in terms of numbers ranging between - 1 and +1, the latter is called a positive relationship, the former means that the relationship is negative (like the bigger an apple, the less it costs). Zero (0) would indicate no relationship between variables (e.g. no relationship between price and size). It is rare for a correlation to be as strong as 1, most correlations range between .30 and .60. - CPeter
Wiki User
∙ 15y ago
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What are the four major types of psychological research?
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The three main methods of research are experimental research (conducting controlled experiments to test hypotheses), descriptive research (observing and describing behaviors or characteristics), and correlational research (examining the relationships between variables without manipulating them).
What are the 3 basic research methods of psychology?
The three basic research methods in psychology are experimental research (manipulating variables to determine cause and effect), correlational research (examining the relationship between variables without manipulation), and descriptive research (observing and recording behaviors without manipulating variables).
How does experimental research differ importantly from correlational research methods?
Experimental research involves manipulating variables to determine cause-and-effect relationships, while correlational research examines the relationship between two or more variables without manipulation. Experimental research allows for greater control over variables and enables researchers to draw stronger causal inferences compared to correlational research.
This is the type of research that describes the strength and direction of relationships between variables?
Correlational
What is co relational research?
Correlational research is a type of non-experimental research design that examines the relationship between two or more variables without manipulating them. It seeks to determine if there is a statistical relationship between the variables, but does not imply causation. Correlational studies provide information about how variables are related and can help generate hypotheses for further research.
What are the advantages of the correlational method?
The advantage of the correlational research method is the ability to prove a positive or negative correlation between two subjects . The disadvantage of this is the unclear interpreation of cause and affect. moletsane
Which research method assesses how well one variable predicts another without specifying a cause and effect relationship between the 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.
What is correlational research method?
Correlational research method is a type of study that looks at the relationship between two or more variables in order to determine if and how they are related. It involves measuring the variables as they naturally occur without manipulating them. Correlational studies can provide valuable insights into potential relationships between variables but cannot establish causation.
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.
