Which of the following describes the treatment in an investigation?

Physics · High School · Tue Nov 03 2020

Answered on

The treatment in an investigation refers to the specific condition or intervention applied to the subjects or units in an experimental group within a study. It is what the researchers vary in order to assess the effect of the treatment on certain outcomes. For example, if the investigation is a medical trial, the treatment could be a new drug, a placebo, or a different dose of an existing medication. In a psychological experiment, the treatment might be exposure to certain types of images or tasks. The primary goal of applying a treatment is to determine its impact compared to a control condition where no treatment or a standard treatment is applied.

Understanding the concept of treatment is key in various scientific disciplines that conduct investigations, such as medicine, psychology, and agriculture, to name a few. In all experimental research, there are typically at least two groups: an experimental group (or groups) that receive the treatment and a control group that does not receive the treatment or receives a standard treatment.

When designing an experiment, researchers need to decide on several factors related to the treatment including:

1. The nature of the treatment – what exactly will be done to the experimental group(s). 2. Dosage (if applicable) – how much of the treatment will be applied. 3. Duration – for how long the treatment will be applied. 4. Mode of administration – how the treatment will be given to subjects (e.g., orally, topically, through activities or exercises, etc.).

Besides these considerations, the researchers must also decide how to measure the outcomes, which involve determining how the effects of the treatment are assessed and quantified. This might involve looking at changes in behavior, physical health measures, psychological states, or performance on tasks.

Well-designed treatments and control conditions are essential for the validity of an experiment, as they help to ensure that the results are due to the treatment itself and not other extraneous variables. The data derived from experiments with well-defined treatments contribute to our understanding of cause-and-effect relationships.