Hypothesis: A hypothesis is an educated prediction that provides an explanation for an observed event. An observed event is a measurable result or condition. If you can't measure it, then you can't form a hypothesis about it because you can't confirm or reject it.
Research Hypothesis: A research hypothesis is the statement created by researchers when they speculate upon the outcome of a research or experiment.Every true experimental design must have this statement at the core of its structure, as the ultimate aim of any experiment.
Null Hypothesis (H0) is a hypothesis which the researcher tries to disprove, reject or nullify.
The 'null' often refers to the common view of something, while the alternative hypothesis is what the researcher really thinks is the cause of a phenomenon.
Cases: Case study research excels at bringing us to an understanding of a complex issue or object and can extend experience or add strength to what is already known through previous research. Case studies emphasize detailed contextual analysis of a limited number of events or conditions and their relationships. Researchers have used the case study research method for many years across a variety of disciplines.
Independent Variables (IV) : In an experiment, the independent variable is the variable that is varied or manipulated by the researcher, and the dependent variable is the response that is measured.The independent variable, also known as the manipulated variable, lies at the heart of any quantitative experimental design.This is the factor manipulated by the researcher, and it produces one or more results, known as dependent variables. There are often not more than one or two independent variables tested in an experiment, otherwise it is difficult to determine the influence of each upon the final results.
Dependent Variables (DV) : In any true experiment, a researcher manipulates an independent variable, to influence a dependent variable, or variables.A well-designed experiment normally incorporate one or two independent variables, with every other possible factor eliminated, or controlled. There may be more than two dependent variables in any experiment.For example, a researcher might wish to establish the effect of temperature on the rate of plant growth; temperature is the independent variable. They could regard growth as height, weight, number of fruits produced, or all of these. A whole range of dependent variables arises from one independent variable.
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