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MaxineOne technique is to conduct experiments in a controlled environment where variables can be manipulated and controlled. Another technique is using statistical methods such as regression analysis to account for the influence of potential intervening variables. Additionally, conducting multiple studies or using longitudinal designs can help to assess the consistency of results across different conditions and reduce the impact of intervening variables.
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What is the primary difference between an experiment and an observastional study?
The primary difference is that in an experiment, the researcher actively manipulates or controls one or more variables to observe the effect on another variable, while in an observational study, the researcher simply observes and records data without intervening or controlling any variables. Experiments allow for more control over variables and can establish cause-and-effect relationships, while observational studies can only establish correlations.
What is the difference between internal and external variables?
Internal variables are those that are within the control or influence of the system or entity being studied, while external variables are those that are outside of its control or influence. Internal variables are typically more easily manipulated in an experiment, while external variables are often more difficult to control for.
Compare and contrast traditional and modern control techniques giving their advantages and disadvantages?
Traditional control techniques rely more on manual or paper-based methods, while modern control techniques use advanced technology such as automation, AI, and data analytics. Traditional techniques may be simpler and easier to implement but can be less efficient and prone to human error. Modern techniques offer improved accuracy, real-time monitoring, and scalability, but can be more complex and expensive to establish and maintain.
Which research method do investigators use to exercise maximum control over the factors they are interested in studying?
Investigators use laboratory experiments to exercise maximum control over the factors they are interested in studying. This method allows researchers to manipulate variables, control the environment, and establish cause-and-effect relationships between variables.
What Confounding variables are there on a questionnaire?
Confounding variables on a questionnaire refer to factors that may influence the relationship between the variables being studied. For example, participant demographics, question wording, or response bias could confound the results. It is important to identify and control for these variables to ensure accurate and reliable data analysis.
