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Causation, correlation...
A Bar Graph!
That's exactly what the equation tells you.
An advantage of using a correlational study is that it allows you to investigate variables that cannot be directly manipulated.
A variable is a number that isn't fixed, it can be anything. So in this situation x and y are the variables.
Time and temperature
Explanatory research aims to explain the relationships between variables and phenomena by uncovering the underlying mechanisms and factors that influence outcomes. This type of research goes beyond describing a situation to understand why or how something occurs. It is often used to test hypotheses and establish causal relationships between variables.
Yes, an experiment with several variables can be used to test and provide evidence for a theory. By manipulating and controlling the variables, researchers can investigate the relationships between them and how they affect the outcomes, helping to support or refute theoretical predictions. However, it is essential to design the experiment carefully to ensure that the results are reliable and can contribute to a better understanding of the theory.
Variable are used to show relationships by multiple ways.
A cross-sectional study is a type of observational research that analyzes data collected from a population at a single point in time to assess relationships between variables. In contrast, a retrospective study looks at past data to investigate possible links between exposure and outcome variables.
an equation
Associative research design is a type of research methodology that aims to establish relationships between variables by studying the statistical associations between them. It does not imply causation, but rather shows the degree of relationship between variables. This design is commonly used in fields such as psychology, sociology, and medicine to investigate correlations and patterns.
Direct or inverse relationships,that is a problem
Causation, correlation...
There are complex models that allow researchers to study several variables if the experiment is carefully designed and very carefully carried out. These models can show whether a variety of variable interactions occur, and if that is your focus then these models are good. But the best experiments investigate a small number of variables, as few as one.
An intervening variable is a hypothetical internal state that is used to explain relationships between observed variables
Research that is guided by a hypothesis is called hypothesis-driven research. It involves designing experiments and collecting data to test a specific hypothesis or theory. This type of research helps to systematically investigate and understand relationships between variables.