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It highlights numerical analysis of data hoping that the numbers yield unbiased results that can be generalized to some larger population and explain a observation.

It suggests that the data concerned can be analyzed in terms of numbers.

This kind of research derives conclusion from observations and manifestations that already occurred in the past and now compared to some dependent variables.

It describes the norm level of characteristics for a given behavior

In this design, the researcher can collect more data, either by scheduling more observations or finding more existing measures.

It is conducted by researchers whose aim would be to find out the direction, associations and/or relationship between different variables or groups of respondents under study.

It refers to the overall strategy that you choose to integrate the different components of the study coherently and logically, thereby ensuring you will effectively address the research problem.

It controls for both time-related and group-related threats. Two features mark true experiments: two or more differently treated groups; and random assignment to these groups.

All variables in the study can contribute to the over-all prediction in an equation that adds together the predictive power of each identified variable.

Its main purpose is to observe, describe and document aspects of a situation as it naturally occurs and sometimes to serve as a starting point for hypothesis generation or theory development.