This topic will be dealing with researches. causations in researches and, various kinds of variables in research. it will be describing correlational researches and its various aspects like positive co-relation, negative co-relation zero co-relation, the linear and curvilinear co-relation between variables, along with the descriptive research, and its characteristics as well as types like a case study, observational, laboratory researches. A psychological experiment involves the investigation or determination of the relationship between variables. Variable is an object or an individual or event that can take on different values or can vary. Variables are mainly two different types they are independent variable and dependent variable. The independent variable is that in which changes are brought and dependent variables are those in which changes are observed while making changes In independent variables. A researcher in his experiment has to see the cause and effect in these two variables and this is called causation in research.
Correlational researches or methods do not involve any cause-and-effect relationship rather this type of research includes the investigation of associational relationships. This involved observing the variable just to see the statistical relationships. In other words, it involves how we connect different aspects of our life. Every person does it in his daily life to establish connections like for example going every day to college leads to face tanning. Co relational researches tell us about the potential of the relationship between the variables. Also, this type of research can become a base for further research if required.
Types of correlation researches
Positive correlation: It means an increase or decrease in one variable leads to an increase or decrease in another variable. The positive correlation ranges from 0 to 1.
Negative correlation: It means an increase in one variable causes a decrease in another variable the negative correlation ranges from 0 to -1.
Zero correlation: When there is no relationship between two variables. In other words, change in one variable does not impact change in others. For example rainy season and weight, your wage, and your height.
Linear or curvilinear co relational: The change in variables is in the same direction or else in opposite direction and accordingly graphically line will be straight.
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