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.
The advantage is knowing what you are writing about, and why. The disadvantage is not doing the research,and not knowing what you are supposed to be writing about.
A non-directional research hypothesis is a kind of hypothesis that is used in testing statistical significance. It states that there is no difference between variables.
In undertaking a research project,it requires the collection of data in order to arrive at a research conclusion
There is probably no such study. A correlation or regression analysis works only with linear relationships. Any even function over a symmetric interval will give a correlation coefficient of 0; suggesting no relationship and so no predictive power. That is utter nonsense. If two variables are independent of one another but are affected by a third variable which is unknown to (or overlooked by) the experimenter then one of the two observed variables may appear to predict the other observed variable but that will fall apart if the unknown variable changes. For example observed variables: my age and number of cars in the country. Both related to time and fairly good predictive power. But the predictive power will fail if I move to Another Country.
Secondary data may not answer fully answer the research questions of a study. It is also hard to establish its validity, and if proper sampling and data collection methods were employed.
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.
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.
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.
A correlational study is a research method that examines relationships between variables without manipulating them. It aims to determine if and to what extent a relationship exists between two or more variables, but it does not establish causation. The strength and direction of the relationship are typically measured using statistical techniques such as correlation coefficients.
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 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.
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.
ReSearch
An experiment
Correlational research can make predictions without stating cause. This method involves examining the relationship between two or more variables to determine if they are associated with each other, but does not establish causation.
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).
Correlation Research Method, a statistical measure of a relationship between two or more variables, gives an indication of how one variable may predict another.