What is replication in research and why is it important?
Replication is one of the most important tools for the verification of facts within the empirical sciences. Any piece of research must be repeated by other investigators before its findings can be considered as reasonably well established. [Replicability] gives credibility to the conclusions of scientific research.
Why quantitative research can be replicated or repeated?
The data is usually gathered using structured research instruments. The results are based on larger sample sizes that are representative of the population. The research study can usually be replicated or repeated, given its high reliability. All aspects of the study are carefully designed before data is collected.
What is replication in an experiment statistics?
In statistics, replication is repetition of an experiment or observation in the same or similar conditions. Replication is important because it adds information about the reliability of the conclusions or estimates to be drawn from the data.
Why is replication important in experimental design answers?
The replication reduces variability in experimental results. Scientists must replicate experiments to ensure validity and account for error.
What is replication in an experiment quizlet?
Replication. Occurs when each treatment is applied to more than one experimental unit; ensures the effect of a treatment is not due to some characteristic of a single experimental unit.
What does replication confirmation mean?
A replication study attempts to validate the findings of a prior piece of research. By doing so, that prior research is confirmed as being both accurate and broadly applicable, since the replication study typically changes one or more variables of the original study, such as sample population, industry sector, etc.
What is the only research method that can show cause and effect?
A controlled experiment is the only research method that can establish a cause and effect relationship.
What are two research methods for exploring the cause and effect relationships between variables?
There are two research methods for exploring the cause and effect relationship between variables: Experimentation, and. Simulation.
What is a good way to remember the difference between independent variables?
One way to remember the difference is to literally consider the independent variable as being ‘independent’, because it is the only thing that changes, as everything else in the experiment is controlled.
What is descriptive method in quantitative research?
Quantitative research: Descriptive research is a quantitative research method that attempts to collect quantifiable information for statistical analysis of the population sample. It is a popular market research tool that allows us to collect and describe the demographic segment’s nature.